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ORCIDLi Fei-Fei 0001
Fei-Fei Li 0001 – 李飛飛
Person information
- unicode name: 李飛飛
- affiliation: Stanford University, Department of Computer Science, CA, USA
Other persons with the same name
- Fei-Fei Li 0002 — Xi'an University of Technology, School of Sciences, Xi'an, China
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Journal Articles
- 2023
[j33]Song Bai
, Philip H. S. Torr, Ranjay Krishna, Li Fei-Fei, Abhinav Gupta, Song-Chun Zhu:
Guest Editorial: Introduction to the Special Section on Graphs in Vision and Pattern Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6867-6869 (2023)- 2022
- [j32]Weixin Liang, Girmaw Abebe Tadesse, Daniel E. Ho, Li Fei-Fei, Matei Zaharia, Ce Zhang, James Zou:
Advances, challenges and opportunities in creating data for trustworthy AI. Nat. Mach. Intell. 4(8): 669-677 (2022) - [j31]Weixin Liang, Girmaw Abebe Tadesse, Daniel E. Ho, Li Fei-Fei, Matei Zaharia, Ce Zhang, James Zou:
Author Correction: Advances, challenges and opportunities in creating data for trustworthy AI. Nat. Mac. Intell. 4(10): 904 (2022) - [j30]Chen Wang, Danfei Xu, Li Fei-Fei:
Generalizable Task Planning Through Representation Pretraining. IEEE Robotics Autom. Lett. 7(3): 8299-8306 (2022) - 2021
- [j29]Mandy Lu, Qingyu Zhao, Kathleen L. Poston, Edith V. Sullivan, Adolf Pfefferbaum, Marian Shahid, Maya Katz, Leila Montaser Kouhsari, Kevin A. Schulman, Arnold Milstein, Juan Carlos Niebles, Victor W. Henderson, Li Fei-Fei, Kilian M. Pohl, Ehsan Adeli:
Quantifying Parkinson's disease motor severity under uncertainty using MDS-UPDRS videos. Medical Image Anal. 73: 102179 (2021) - [j28]Shyamal Buch, Li Fei-Fei, Noah D. Goodman:
Neural Event Semantics for Grounded Language Understanding. Trans. Assoc. Comput. Linguistics 9: 875-890 (2021) - 2020
- [j27]Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov, Viraj Mehta, Li Fei-Fei, Silvio Savarese:
Learning task-oriented grasping for tool manipulation from simulated self-supervision. Int. J. Robotics Res. 39(2-3) (2020) - [j26]Amit Singh, Albert Haque, Alexandre Alahi, Serena Yeung, Michelle Guo, Jill R. Glassman, William Beninati, Terry Platchek, Li Fei-Fei, Arnold Milstein:
Automatic detection of hand hygiene using computer vision technology. J. Am. Medical Informatics Assoc. 27(8): 1316-1320 (2020) - [j25]Albert Haque, Arnold Milstein, Li Fei-Fei:
Illuminating the dark spaces of healthcare with ambient intelligence. Nat. 585: 193-202 (2020) - [j24]Adam S. Miner, Albert Haque, Jason A. Fries, Scott L. Fleming, Denise E. Wilfley, G. Terence Wilson, Arnold Milstein, Dan Jurafsky, Bruce A. Arnow, W. Stewart Agras, Li Fei-Fei, Nigam H. Shah:
Assessing the accuracy of automatic speech recognition for psychotherapy. npj Digit. Medicine 3 (2020) - [j23]Pranav Khadpe, Ranjay Krishna, Li Fei-Fei, Jeffrey T. Hancock, Michael S. Bernstein:
Conceptual Metaphors Impact Perceptions of Human-AI Collaboration. Proc. ACM Hum. Comput. Interact. 4(CSCW2): 163:1-163:26 (2020) - [j22]Michelle A. Lee, Yuke Zhu, Peter Zachares, Matthew Tan, Krishnan Srinivasan, Silvio Savarese, Li Fei-Fei, Animesh Garg, Jeannette Bohg:
Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks. IEEE Trans. Robotics 36(3): 582-596 (2020) - 2019
- [j21]Maya Varma, Mandy Lu, Rachel Gardner, Jared Dunnmon, Nishith Khandwala, Pranav Rajpurkar, Jin Long, Christopher Beaulieu, Katie S. Shpanskaya, Li Fei-Fei, Matthew P. Lungren, Bhavik N. Patel:
Automated abnormality detection in lower extremity radiographs using deep learning. Nat. Mach. Intell. 1(12): 578-583 (2019) - [j20]Serena Yeung, Francesca Rinaldo, Jeffrey Jopling, Bingbin Liu, Rishab Mehra, N. Lance Downing, Michelle Guo, Gabriel M. Bianconi, Alexandre Alahi, Julia Lee, Brandi Campbell, Kayla Deru, William Beninati, Li Fei-Fei, Arnold Milstein:
A computer vision system for deep learning-based detection of patient mobilization activities in the ICU. npj Digit. Medicine 2 (2019) - 2018
- [j19]Serena Yeung, Olga Russakovsky, Ning Jin, Mykhaylo Andriluka, Greg Mori, Li Fei-Fei:
Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos. Int. J. Comput. Vis. 126(2-4): 375-389 (2018) - 2017
- [j18]Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li, David A. Shamma, Michael S. Bernstein, Li Fei-Fei:
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations. Int. J. Comput. Vis. 123(1): 32-73 (2017) - [j17]Manoj Kumar, Kara D. Federmeier, Li Fei-Fei, Diane M. Beck:
Evidence for similar patterns of neural activity elicited by picture- and word-based representations of natural scenes. NeuroImage 155: 422-436 (2017) - [j16]Andrej Karpathy, Li Fei-Fei:
Deep Visual-Semantic Alignments for Generating Image Descriptions. IEEE Trans. Pattern Anal. Mach. Intell. 39(4): 664-676 (2017) - [j15]Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Erez Lieberman Aiden, Li Fei-Fei:
Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States. Proc. Natl. Acad. Sci. USA 114(50): 13108-13113 (2017) - 2016
- [j14]Adriana Kovashka, Olga Russakovsky, Li Fei-Fei, Kristen Grauman:
Crowdsourcing in Computer Vision. Found. Trends Comput. Graph. Vis. 10(3): 177-243 (2016) - [j13]Marius Catalin Iordan, Michelle R. Greene, Diane M. Beck, Li Fei-Fei:
Typicality sharpens category representations in object-selective cortex. NeuroImage 134: 170-179 (2016) - [j12]Jia Deng, Jonathan Krause, Michael Stark, Li Fei-Fei:
Leveraging the Wisdom of the Crowd for Fine-Grained Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 38(4): 666-676 (2016) - 2015
- [j11]Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael S. Bernstein, Alexander C. Berg, Li Fei-Fei:
ImageNet Large Scale Visual Recognition Challenge. Int. J. Comput. Vis. 115(3): 211-252 (2015) - [j10]Marius Catalin Iordan, Michelle R. Greene, Diane M. Beck, Li Fei-Fei:
Basic Level Category Structure Emerges Gradually across Human Ventral Visual Cortex. J. Cogn. Neurosci. 27(7): 1427-1446 (2015) - 2014
- [j9]Li-Jia Li, Hao Su, Yongwhan Lim, Li Fei-Fei:
Object Bank: An Object-Level Image Representation for High-Level Visual Recognition. Int. J. Comput. Vis. 107(1): 20-39 (2014) - 2013
- [j8]Christopher Baldassano, Diane M. Beck, Li Fei-Fei:
Differential connectivity within the Parahippocampal Place Area. NeuroImage 75: 228-237 (2013) - 2012
- [j7]Christopher Baldassano, Marius Catalin Iordan, Diane M. Beck, Li Fei-Fei:
Voxel-level functional connectivity using spatial regularization. NeuroImage 63(3): 1099-1106 (2012) - [j6]Bangpeng Yao, Li Fei-Fei:
Recognizing Human-Object Interactions in Still Images by Modeling the Mutual Context of Objects and Human Poses. IEEE Trans. Pattern Anal. Mach. Intell. 34(9): 1691-1703 (2012) - 2010
- [j5]Li-Jia Li, Li Fei-Fei:
OPTIMOL: Automatic Online Picture Collection via Incremental Model Learning. Int. J. Comput. Vis. 88(2): 147-168 (2010) - [j4]Robert Fergus, Li Fei-Fei, Pietro Perona, Andrew Zisserman:
Learning Object Categories From Internet Image Searches. Proc. IEEE 98(8): 1453-1466 (2010) - 2008
- [j3]Juan Carlos Niebles, Hongcheng Wang, Li Fei-Fei:
Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words. Int. J. Comput. Vis. 79(3): 299-318 (2008) - 2007
- [j2]Li Fei-Fei, Robert Fergus, Pietro Perona:
Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories. Comput. Vis. Image Underst. 106(1): 59-70 (2007) - 2006
- [j1]Li Fei-Fei, Robert Fergus, Pietro Perona:
One-Shot Learning of Object Categories. IEEE Trans. Pattern Anal. Mach. Intell. 28(4): 594-611 (2006)
Conference and Workshop Papers
- 2024
- [c245]Zelun Luo, Yuliang Zou, Yijin Yang, Zane Durante, De-An Huang, Zhiding Yu, Chaowei Xiao, Li Fei-Fei, Animashree Anandkumar:
Differentially Private Video Activity Recognition. WACV 2024: 6643-6653 - 2023
- [c244]Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Chengshu Li, Emily Jin, Ruohan Zhang, Li Fei-Fei, Jiajun Wu, Silvio Savarese, Roberto Martín-Martín:
Modeling Dynamic Environments with Scene Graph Memory. AAMAS 2023: 2851-2853 - [c243]Chen Wang, Linxi Fan, Jiankai Sun, Ruohan Zhang, Li Fei-Fei, Danfei Xu, Yuke Zhu, Anima Anandkumar:
MimicPlay: Long-Horizon Imitation Learning by Watching Human Play. CoRL 2023: 201-221 - [c242]Wenlong Huang, Chen Wang, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Li Fei-Fei:
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models. CoRL 2023: 540-562 - [c241]Ruohan Zhang, Sharon Lee, Minjune Hwang, Ayano Hiranaka, Chen Wang, Wensi Ai, Jin Jie Ryan Tan, Shreya Gupta, Yilun Hao, Gabrael Levine, Ruohan Gao, Anthony Norcia, Li Fei-Fei, Jiajun Wu:
NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities. CoRL 2023: 1737-1760 - [c240]Yuanpei Chen, Chen Wang, Li Fei-Fei, C. Karen Liu:
Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation. CoRL 2023: 3809-3829 - [c239]Ruohan Gao, Yiming Dou, Hao Li, Tanmay Agarwal, Jeannette Bohg, Yunzhu Li, Li Fei-Fei, Jiajun Wu:
The Object Folder Benchmark : Multisensory Learning with Neural and Real Objects. CVPR 2023: 17276-17286 - [c238]Tiange Xiang, Adam Sun, Jiajun Wu, Ehsan Adeli, Li Fei-Fei:
Rendering Humans from Object-Occluded Monocular Videos. ICCV 2023: 3216-3227 - [c237]Agrim Gupta, Stephen Tian, Yunzhi Zhang, Jiajun Wu, Roberto Martín-Martín, Li Fei-Fei:
MaskViT: Masked Visual Pre-Training for Video Prediction. ICLR 2023 - [c236]Yunfan Jiang, Agrim Gupta, Zichen Zhang, Guanzhi Wang, Yongqiang Dou, Yanjun Chen, Li Fei-Fei, Anima Anandkumar, Yuke Zhu, Linxi Fan:
VIMA: Robot Manipulation with Multimodal Prompts. ICML 2023: 14975-15022 - [c235]Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Emily Jin, Chengshu Li, Ruohan Zhang, Li Fei-Fei, Jiajun Wu, Silvio Savarese, Roberto Martín-Martín:
Modeling Dynamic Environments with Scene Graph Memory. ICML 2023: 17976-17993 - [c234]Ruohan Gao, Hao Li, Gokul Dharan, Zhuzhu Wang, Chengshu Li, Fei Xia, Silvio Savarese, Li Fei-Fei, Jiajun Wu:
Sonicverse: A Multisensory Simulation Platform for Embodied Household Agents that See and Hear. ICRA 2023: 704-711 - [c233]Michael Lingelbach, Chengshu Li, Minjune Hwang, Andrey Kurenkov, Alan Lou, Roberto Martín-Martín, Ruohan Zhang, Li Fei-Fei, Jiajun Wu:
Task-Driven Graph Attention for Hierarchical Relational Object Navigation. ICRA 2023: 886-893 - [c232]Bohan Wu, Roberto Martín-Martín, Li Fei-Fei:
M-EMBER: Tackling Long-Horizon Mobile Manipulation via Factorized Domain Transfer. ICRA 2023: 11690-11697 - [c231]Kuan Fang, Toki Migimatsu, Ajay Mandlekar, Li Fei-Fei, Jeannette Bohg:
Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks. IROS 2023: 1-8 - [c230]Ayano Hiranaka, Minjune Hwang, Sharon Lee, Chen Wang, Li Fei-Fei, Jiajun Wu, Ruohan Zhang:
Primitive Skill-Based Robot Learning from Human Evaluative Feedback. IROS 2023: 7817-7824 - [c229]Ziang Liu, Genggeng Zhou, Jeff He, Tobia Marcucci, Fei-Fei Li, Jiajun Wu, Yunzhu Li:
Model-Based Control with Sparse Neural Dynamics. NeurIPS 2023 - [c228]Agrim Gupta, Jiajun Wu, Jia Deng, Fei-Fei Li:
Siamese Masked Autoencoders. NeurIPS 2023 - [c227]Tony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai, Joon Sung Park, Agrim Gupta, Yunzhi Zhang, Deepak Narayanan, Hannah Teufel, Marco Bellagente, Minguk Kang, Taesung Park, Jure Leskovec, Jun-Yan Zhu, Fei-Fei Li, Jiajun Wu, Stefano Ermon, Percy Liang:
Holistic Evaluation of Text-to-Image Models. NeurIPS 2023 - [c226]Yixuan Wang, Yunzhu Li, Katherine Driggs Campbell, Li Fei-Fei, Jiajun Wu:
Dynamic-Resolution Model Learning for Object Pile Manipulation. Robotics: Science and Systems 2023 - 2022
- [c225]Chengshu Li, Ruohan Zhang, Josiah Wong, Cem Gokmen, Sanjana Srivastava, Roberto Martín-Martín, Chen Wang, Gabrael Levine, Michael Lingelbach, Jiankai Sun, Mona Anvari, Minjune Hwang, Manasi Sharma, Arman Aydin, Dhruva Bansal, Samuel Hunter, Kyu-Young Kim, Alan Lou, Caleb R. Matthews, Ivan Villa-Renteria, Jerry Huayang Tang, Claire Tang, Fei Xia, Silvio Savarese, Hyowon Gweon, C. Karen Liu, Jiajun Wu, Li Fei-Fei:
BEHAVIOR-1K: A Benchmark for Embodied AI with 1, 000 Everyday Activities and Realistic Simulation. CoRL 2022: 80-93 - [c224]Ruohan Zhang, Dhruva Bansal, Yilun Hao, Ayano Hiranaka, Jialu Gao, Chen Wang, Roberto Martín-Martín, Li Fei-Fei, Jiajun Wu:
A Dual Representation Framework for Robot Learning with Human Guidance. CoRL 2022: 738-750 - [c223]Hao Li, Yizhi Zhang, Junzhe Zhu, Shaoxiong Wang, Michelle A. Lee, Huazhe Xu, Edward H. Adelson, Li Fei-Fei, Ruohan Gao, Jiajun Wu:
See, Hear, and Feel: Smart Sensory Fusion for Robotic Manipulation. CoRL 2022: 1368-1378 - [c222]Shyamal Buch, Cristóbal Eyzaguirre, Adrien Gaidon, Jiajun Wu, Li Fei-Fei, Juan Carlos Niebles:
Revisiting the "Video" in Video-Language Understanding. CVPR 2022: 2907-2917 - [c221]Liangqiong Qu, Yuyin Zhou, Paul Pu Liang, Yingda Xia, Feifei Wang, Ehsan Adeli, Li Fei-Fei, Daniel L. Rubin:
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning. CVPR 2022: 10051-10061 - [c220]Ruohan Gao, Zilin Si, Yen-Yu Chang, Samuel Clarke, Jeannette Bohg, Li Fei-Fei, Wenzhen Yuan, Jiajun Wu:
ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer. CVPR 2022: 10588-10598 - [c219]Carlos Hinojosa, Miguel Marquez, Henry Arguello, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles:
PrivHAR: Recognizing Human Actions from Privacy-Preserving Lens. ECCV (4) 2022: 314-332 - [c218]Agrim Gupta, Linxi Fan, Surya Ganguli, Li Fei-Fei:
MetaMorph: Learning Universal Controllers with Transformers. ICLR 2022 - [c217]Kaiyu Yang, Jacqueline H. Yau, Li Fei-Fei, Jia Deng, Olga Russakovsky:
A Study of Face Obfuscation in ImageNet. ICML 2022: 25313-25330 - [c216]Mark Endo, Kathleen L. Poston, Edith V. Sullivan, Li Fei-Fei, Kilian M. Pohl, Ehsan Adeli-Mosabbeb:
GaitForeMer: Self-supervised Pre-training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation. MICCAI (8) 2022: 130-139 - [c215]Zelun Luo, Zane Durante, Linden Li, Wanze Xie, Ruochen Liu, Emily Jin, Zhuoyi Huang, Lun Yu Li, Jiajun Wu, Juan Carlos Niebles, Ehsan Adeli, Fei-Fei Li:
MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity Parsing. NeurIPS 2022 - [c214]Zixian Ma, Rose Wang, Fei-Fei Li, Michael S. Bernstein, Ranjay Krishna:
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward. NeurIPS 2022 - 2021
- [c213]Siddharth Karamcheti, Ranjay Krishna, Li Fei-Fei, Christopher D. Manning:
Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering. ACL/IJCNLP (1) 2021: 7265-7281 - [c212]Bohan Wu, Suraj Nair, Li Fei-Fei, Chelsea Finn:
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks. CoRL 2021: 1-13 - [c211]Chengshu Li, Fei Xia, Roberto Martín-Martín, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Elliott Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, Andrey Kurenkov, C. Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, Silvio Savarese:
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks. CoRL 2021: 455-465 - [c210]Ruohan Gao, Yen-Yu Chang, Shivani Mall, Li Fei-Fei, Jiajun Wu:
ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations. CoRL 2021: 466-476 - [c209]Sanjana Srivastava, Chengshu Li, Michael Lingelbach, Roberto Martín-Martín, Fei Xia, Kent Elliott Vainio, Zheng Lian, Cem Gokmen, Shyamal Buch, C. Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu, Li Fei-Fei:
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments. CoRL 2021: 477-490 - [c208]Chen Wang, Claudia Pérez-D'Arpino, Danfei Xu, Li Fei-Fei, C. Karen Liu, Silvio Savarese:
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration. CoRL 2021: 1279-1290 - [c207]Josiah Wong, Albert Tung, Andrey Kurenkov, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese, Roberto Martín-Martín:
Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation. CoRL 2021: 1367-1378 - [c206]Ajay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Li Fei-Fei, Silvio Savarese, Yuke Zhu, Roberto Martín-Martín:
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation. CoRL 2021: 1678-1690 - [c205]Bohan Wu, Suraj Nair, Roberto Martín-Martín, Li Fei-Fei, Chelsea Finn:
Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction. CVPR 2021: 2318-2328 - [c204]Zelun Luo, Daniel J. Wu, Ehsan Adeli, Li Fei-Fei:
Scalable Differential Privacy With Sparse Network Finetuning. CVPR 2021: 5059-5068 - [c203]Mandy Lu, Qingyu Zhao, Jiequan Zhang, Kilian M. Pohl, Li Fei-Fei, Juan Carlos Niebles, Ehsan Adeli:
Metadata Normalization. CVPR 2021: 10917-10927 - [c202]Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Adaptive Procedural Task Generation for Hard-Exploration Problems. ICLR 2021 - [c201]Linxi Fan, Guanzhi Wang, De-An Huang, Zhiding Yu, Li Fei-Fei, Yuke Zhu, Animashree Anandkumar:
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies. ICML 2021: 3088-3099 - [c200]Danfei Xu, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Deep Affordance Foresight: Planning Through What Can Be Done in the Future. ICRA 2021: 6206-6213 - [c199]Albert Tung, Josiah Wong, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Li Fei-Fei, Silvio Savarese:
Learning Multi-Arm Manipulation Through Collaborative Teleoperation. ICRA 2021: 9212-9219 - [c198]Bokui Shen, Fei Xia, Chengshu Li, Roberto Martín-Martín, Linxi Fan, Guanzhi Wang, Claudia Pérez-D'Arpino, Shyamal Buch, Sanjana Srivastava, Lyne Tchapmi, Micael Tchapmi, Kent Vainio, Josiah Wong, Li Fei-Fei, Silvio Savarese:
iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes. IROS 2021: 7520-7527 - [c197]Chen Wang, Rui Wang, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese, Danfei Xu:
Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control. IROS 2021: 8913-8920 - [c196]Daniel Bear, Elias Wang, Damian Mrowca, Felix J. Binder, Hsiao-Yu Tung, R. T. Pramod, Cameron Holdaway, Sirui Tao, Kevin A. Smith, Fan-Yun Sun, Fei-Fei Li, Nancy Kanwisher, Josh Tenenbaum, Dan Yamins, Judith E. Fan:
Physion: Evaluating Physical Prediction from Vision in Humans and Machines. NeurIPS Datasets and Benchmarks 2021 - [c195]Zelun Luo, Wanze Xie, Siddharth Kapoor, Yiyun Liang, Michael Cooper, Juan Carlos Niebles, Ehsan Adeli, Fei-Fei Li:
MOMA: Multi-Object Multi-Actor Activity Parsing. NeurIPS 2021: 17939-17955 - [c194]Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Discovering Generalizable Skills via Automated Generation of Diverse Tasks. Robotics: Science and Systems 2021 - [c193]Ehsan Adeli-Mosabbeb, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Juan Carlos Niebles, Kilian M. Pohl:
Representation Learning with Statistical Independence to Mitigate Bias. WACV 2021: 2512-2522 - 2020
- [c192]Jingwei Ji, Ranjay Krishna, Li Fei-Fei, Juan Carlos Niebles:
Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs. CVPR 2020: 10233-10244 - [c191]Chien-Yi Chang, De-An Huang, Danfei Xu, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles:
Procedure Planning in Instructional Videos. ECCV (11) 2020: 334-350 - [c190]Linxi Fan, Shyamal Buch, Guanzhi Wang, Ryan Cao, Yuke Zhu, Juan Carlos Niebles, Li Fei-Fei:
RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition. ECCV (19) 2020: 505-521 - [c189]Kaiyu Yang, Klint Qinami, Li Fei-Fei, Jia Deng, Olga Russakovsky:
Towards fairer datasets: filtering and balancing the distribution of the people subtree in the ImageNet hierarchy. FAT* 2020: 547-558 - [c188]Ajay Mandlekar, Fabio Ramos, Byron Boots, Silvio Savarese, Li Fei-Fei, Animesh Garg, Dieter Fox:
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data. ICRA 2020: 4414-4420 - [c187]De-An Huang, Yu-Wei Chao, Chris Paxton, Xinke Deng, Li Fei-Fei, Juan Carlos Niebles, Animesh Garg, Dieter Fox:
Motion Reasoning for Goal-Based Imitation Learning. ICRA 2020: 4878-4884 - [c186]Zengyi Qin, Kuan Fang, Yuke Zhu, Li Fei-Fei, Silvio Savarese:
KETO: Learning Keypoint Representations for Tool Manipulation. ICRA 2020: 7278-7285 - [c185]Chen Wang, Roberto Martín-Martín, Danfei Xu, Jun Lv, Cewu Lu, Li Fei-Fei, Silvio Savarese, Yuke Zhu:
6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints. ICRA 2020: 10059-10066 - [c184]Yunbo Wang, Bo Liu, Jiajun Wu, Yuke Zhu, Simon S. Du, Li Fei-Fei, Joshua B. Tenenbaum:
DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs. IJCAI 2020: 4190-4198 - [c183]Mandy Lu, Kathleen L. Poston, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Kilian M. Pohl, Juan Carlos Niebles, Ehsan Adeli:
Vision-Based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson's Disease Motor Severity. MICCAI (3) 2020: 637-647 - [c182]Daniel Bear, Chaofei Fan, Damian Mrowca, Yunzhu Li, Seth Alter, Aran Nayebi, Jeremy Schwartz, Li Fei-Fei, Jiajun Wu, Josh Tenenbaum, Daniel L. K. Yamins:
Learning Physical Graph Representations from Visual Scenes. NeurIPS 2020 - [c181]Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín, Silvio Savarese, Li Fei-Fei:
GTI: Learning to Generalize across Long-Horizon Tasks from Human Demonstrations. Robotics: Science and Systems 2020 - 2019
- [c180]Kuan Fang, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei:
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation. CoRL 2019: 42-52 - [c179]Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan L. Yuille, Li Fei-Fei:
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation. CVPR 2019: 82-92 - [c178]Kuan Fang, Alexander Toshev, Li Fei-Fei, Silvio Savarese:
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks. CVPR 2019: 538-547 - [c177]Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei:
Information Maximizing Visual Question Generation. CVPR 2019: 2008-2018 - [c176]Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander G. Hauptmann, Li Fei-Fei:
Peeking Into the Future: Predicting Future Person Activities and Locations in Videos. CVPR Workshops 2019: 2960-2963 - [c175]Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martin Martin, Cewu Lu, Li Fei-Fei, Silvio Savarese:
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion. CVPR 2019: 3343-3352 - [c174]Chien-Yi Chang, De-An Huang, Yanan Sui, Li Fei-Fei, Juan Carlos Niebles:
D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation. CVPR 2019: 3546-3555 - [c173]Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander G. Hauptmann, Li Fei-Fei:
Peeking Into the Future: Predicting Future Person Activities and Locations in Videos. CVPR 2019: 5725-5734 - [c172]Nam Vo, Lu Jiang, Chen Sun, Kevin Murphy, Li-Jia Li, Li Fei-Fei, James Hays:
Composing Text and Image for Image Retrieval - an Empirical Odyssey. CVPR 2019: 6439-6448 - [c171]De-An Huang, Suraj Nair, Danfei Xu, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese, Juan Carlos Niebles:
Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration. CVPR 2019: 8565-8574 - [c170]Junwon Park, Ranjay Krishna, Pranav Khadpe, Li Fei-Fei, Michael S. Bernstein:
AI-Based Request Augmentation to Increase Crowdsourcing Participation. HCOMP 2019: 115-124 - [c169]Albert Haque, Michelle Guo, Prateek Verma, Li Fei-Fei:
Audio-linguistic Embeddings for Spoken Sentences. ICASSP 2019: 7355-7359 - [c168]Ranjay Krishna, Vincent S. Chen, Paroma Varma, Michael S. Bernstein, Christopher Ré, Li Fei-Fei:
Scene Graph Prediction With Limited Labels. ICCV 2019: 2580-2590 - [c167]William B. Shen, Danfei Xu, Yuke Zhu, Li Fei-Fei, Leonidas J. Guibas, Silvio Savarese:
Situational Fusion of Visual Representation for Visual Navigation. ICCV 2019: 2881-2890 - [c166]Apoorva Dornadula, Austin Narcomey, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei:
Visual Relationships as Functions: Enabling Few-Shot Scene Graph Prediction. ICCV Workshops 2019: 1730-1739 - [c165]Vincent S. Chen, Paroma Varma, Ranjay Krishna, Michael S. Bernstein, Christopher Ré, Li Fei-Fei:
Scene Graph Prediction with Limited Labels. ICCV Workshops 2019: 1772-1782 - [c164]Yunbo Wang, Lu Jiang, Ming-Hsuan Yang, Li-Jia Li, Mingsheng Long, Li Fei-Fei:
Eidetic 3D LSTM: A Model for Video Prediction and Beyond. ICLR (Poster) 2019 - [c163]Michelle A. Lee, Yuke Zhu, Krishnan Srinivasan, Parth Shah, Silvio Savarese, Li Fei-Fei, Animesh Garg, Jeannette Bohg:
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks. ICRA 2019: 8943-8950 - [c162]Ajay Mandlekar, Jonathan Booher, Max Spero, Albert Tung, Anchit Gupta, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei:
Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity. IROS 2019: 1048-1055 - [c161]De-An Huang, Danfei Xu, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei, Juan Carlos Niebles:
Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning. IROS 2019: 2635-2642 - [c160]Danfei Xu, Roberto Martín-Martín, De-An Huang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Regression Planning Networks. NeurIPS 2019: 1317-1327 - [c159]Sharon Zhou, Mitchell L. Gordon, Ranjay Krishna, Austin Narcomey, Li Fei-Fei, Michael S. Bernstein:
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models. NeurIPS 2019: 3444-3456 - 2018
- [c158]Nick Haber, Damian Mrowca, Li Fei-Fei, Daniel L. K. Yamins:
Emergence of Structured Behaviors from Curiosity-Based Intrinsic Motivation. CogSci 2018 - [c157]Linxi Fan, Yuke Zhu, Jiren Zhu, Zihua Liu, Orien Zeng, Anchit Gupta, Joan Creus-Costa, Silvio Savarese, Li Fei-Fei:
SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark. CoRL 2018: 767-782 - [c156]Ajay Mandlekar, Yuke Zhu, Animesh Garg, Jonathan Booher, Max Spero, Albert Tung, Julian Gao, John Emmons, Anchit Gupta, Emre Orbay, Silvio Savarese, Li Fei-Fei:
ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation. CoRL 2018: 879-893 - [c155]Justin Johnson, Agrim Gupta, Li Fei-Fei:
Image Generation From Scene Graphs. CVPR 2018: 1219-1228 - [c154]Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, Alexandre Alahi:
Social GAN: Socially Acceptable Trajectories With Generative Adversarial Networks. CVPR 2018: 2255-2264 - [c153]De-An Huang, Shyamal Buch, Lucio M. Dery, Animesh Garg, Li Fei-Fei, Juan Carlos Niebles:
Finding "It": Weakly-Supervised Reference-Aware Visual Grounding in Instructional Videos. CVPR 2018: 5948-5957 - [c152]Ranjay Krishna, Ines Chami, Michael S. Bernstein, Li Fei-Fei:
Referring Relationships. CVPR 2018: 6867-6876 - [c151]Xinlei Chen, Li-Jia Li, Li Fei-Fei, Abhinav Gupta:
Iterative Visual Reasoning Beyond Convolutions. CVPR 2018: 7239-7248 - [c150]De-An Huang, Vignesh Ramanathan, Dhruv Mahajan, Lorenzo Torresani, Manohar Paluri, Li Fei-Fei, Juan Carlos Niebles:
What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets. CVPR 2018: 7366-7375 - [c149]Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei:
Thoracic Disease Identification and Localization With Limited Supervision. CVPR 2018: 8290-8299 - [c148]Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan L. Yuille, Jonathan Huang, Kevin Murphy:
Progressive Neural Architecture Search. ECCV (1) 2018: 19-35 - [c147]Zelun Luo, Jun-Ting Hsieh, Lu Jiang, Juan Carlos Niebles, Li Fei-Fei:
Graph Distillation for Action Detection with Privileged Modalities. ECCV (14) 2018: 174-192 - [c146]Michelle Guo, Albert Haque, De-An Huang, Serena Yeung, Li Fei-Fei:
Dynamic Task Prioritization for Multitask Learning. ECCV (16) 2018: 282-299 - [c145]Bingbin Liu, Serena Yeung, Edward Chou, De-An Huang, Li Fei-Fei, Juan Carlos Niebles:
Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos. ECCV (3) 2018: 569-586 - [c144]Michelle Guo, Edward Chou, De-An Huang, Shuran Song, Serena Yeung, Li Fei-Fei:
Neural Graph Matching Networks for Fewshot 3D Action Recognition. ECCV (1) 2018: 673-689 - [c143]Jiren Zhu, Russell Kaplan, Justin Johnson, Li Fei-Fei:
HiDDeN: Hiding Data With Deep Networks. ECCV (15) 2018: 682-697 - [c142]Lu Jiang, Zhengyuan Zhou, Thomas Leung, Li-Jia Li, Li Fei-Fei:
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels. ICML 2018: 2309-2318 - [c141]Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Yinyu Ye, Li-Jia Li, Li Fei-Fei:
Distributed Asynchronous Optimization with Unbounded Delays: How Slow Can You Go? ICML 2018: 5965-5974 - [c140]Danfei Xu, Suraj Nair, Yuke Zhu, Julian Gao, Animesh Garg, Li Fei-Fei, Silvio Savarese:
Neural Task Programming: Learning to Generalize Across Hierarchical Tasks. ICRA 2018: 1-8 - [c139]Bingbin Liu, Michelle Guo, Edward Chou, Rishab Mehra, Serena Yeung, N. Lance Downing, Francesca Salipur, Jeffrey Jopling, Brandi Campbell, Kayla Deru, William Beninati, Arnold Milstein, Li Fei-Fei:
3D Point Cloud-Based Visual Prediction of ICU Mobility Care Activities. MLHC 2018: 17-29 - [c138]Jun-Ting Hsieh, Bingbin Liu, De-An Huang, Li Fei-Fei, Juan Carlos Niebles:
Learning to Decompose and Disentangle Representations for Video Prediction. NeurIPS 2018: 515-524 - [c137]Nick Haber, Damian Mrowca, Stephanie Wang, Li Fei-Fei, Daniel L. K. Yamins:
Learning to Play With Intrinsically-Motivated, Self-Aware Agents. NeurIPS 2018: 8398-8409 - [c136]Damian Mrowca, Chengxu Zhuang, Elias Wang, Nick Haber, Li Fei-Fei, Josh Tenenbaum, Daniel L. K. Yamins:
Flexible neural representation for physics prediction. NeurIPS 2018: 8813-8824 - [c135]Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov, Viraj Mehta, Li Fei-Fei, Silvio Savarese:
Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision. Robotics: Science and Systems 2018 - [c134]Ranjay Krishna, Donsuk Lee, Li Fei-Fei, Michael S. Bernstein:
Engagement Learning: Expanding Visual Knowledge by Engaging Online Participants. UIST (Adjunct Volume) 2018: 87-89 - [c133]Amy Jin, Serena Yeung, Jeffrey Jopling, Jonathan Krause, Dan Azagury, Arnold Milstein, Li Fei-Fei:
Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks. WACV 2018: 691-699 - [c132]Liyue Shen, Serena Yeung, Judy Hoffman, Greg Mori, Li Fei-Fei:
Scaling Human-Object Interaction Recognition Through Zero-Shot Learning. WACV 2018: 1568-1576 - 2017
- [c131]Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei:
Fine-Grained Car Detection for Visual Census Estimation. AAAI 2017: 4502-4508 - [c130]Zelun Luo, Alisha Rege, Guido Pusiol, Arnold Milstein, Li Fei-Fei, N. Lance Downing:
Computer Vision-based Approach to Maintain Independent Living for Seniors. AMIA 2017 - [c129]Shyamal Buch, Victor Escorcia, Bernard Ghanem, Li Fei-Fei, Juan Carlos Niebles:
End-to-End, Single-Stream Temporal Action Detection in Untrimmed Videos. BMVC 2017 - [c128]Timnit Gebru, Jonathan Krause, Jia Deng, Li Fei-Fei:
Scalable Annotation of Fine-Grained Categories Without Experts. CHI 2017: 1877-1881 - [c127]Kenji Hata, Ranjay Krishna, Li Fei-Fei, Michael S. Bernstein:
A Glimpse Far into the Future: Understanding Long-term Crowd Worker Quality. CSCW 2017: 889-901 - [c126]De-An Huang, Joseph J. Lim, Li Fei-Fei, Juan Carlos Niebles:
Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos. CVPR 2017: 1032-1041 - [c125]Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick:
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning. CVPR 2017: 1988-1997 - [c124]Danfei Xu, Yuke Zhu, Christopher B. Choy, Li Fei-Fei:
Scene Graph Generation by Iterative Message Passing. CVPR 2017: 3097-3106 - [c123]Jonathan Krause, Justin Johnson, Ranjay Krishna, Li Fei-Fei:
A Hierarchical Approach for Generating Descriptive Image Paragraphs. CVPR 2017: 3337-3345 - [c122]Yuke Zhu, Joseph J. Lim, Li Fei-Fei:
Knowledge Acquisition for Visual Question Answering via Iterative Querying. CVPR 2017: 6146-6155 - [c121]Katsuyuki Nakamura, Serena Yeung, Alexandre Alahi, Li Fei-Fei:
Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals. CVPR 2017: 6817-6826 - [c120]Zelun Luo, Boya Peng, De-An Huang, Alexandre Alahi, Li Fei-Fei:
Unsupervised Learning of Long-Term Motion Dynamics for Videos. CVPR 2017: 7101-7110 - [c119]Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei:
Learning to Learn from Noisy Web Videos. CVPR 2017: 7455-7463 - [c118]Yuke Zhu, Daniel Gordon, Eric Kolve, Dieter Fox, Li Fei-Fei, Abhinav Gupta, Roozbeh Mottaghi, Ali Farhadi:
Visual Semantic Planning Using Deep Successor Representations. ICCV 2017: 483-492 - [c117]Ranjay Krishna, Kenji Hata, Frederic Ren, Li Fei-Fei, Juan Carlos Niebles:
Dense-Captioning Events in Videos. ICCV 2017: 706-715 - [c116]Timnit Gebru, Judy Hoffman, Li Fei-Fei:
Fine-Grained Recognition in the Wild: A Multi-task Domain Adaptation Approach. ICCV 2017: 1358-1367 - [c115]Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick:
Inferring and Executing Programs for Visual Reasoning. ICCV 2017: 3008-3017 - [c114]Agrim Gupta, Justin Johnson, Alexandre Alahi, Li Fei-Fei:
Characterizing and Improving Stability in Neural Style Transfer. ICCV 2017: 4087-4096 - [c113]Alexandre Alahi, Judson Wilson, Li Fei-Fei, Silvio Savarese:
Unsupervised camera localization in crowded spaces. ICRA 2017: 2666-2673 - [c112]Yuke Zhu, Roozbeh Mottaghi, Eric Kolve, Joseph J. Lim, Abhinav Gupta, Li Fei-Fei, Ali Farhadi:
Target-driven visual navigation in indoor scenes using deep reinforcement learning. ICRA 2017: 3357-3364 - [c111]Ajay Mandlekar, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese:
Adversarially Robust Policy Learning: Active construction of physically-plausible perturbations. IROS 2017: 3932-3939 - [c110]James Harrison, Animesh Garg, Boris Ivanovic, Yuke Zhu, Silvio Savarese, Li Fei-Fei, Marco Pavone:
AdaPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems. ISRR 2017: 437-453 - [c109]Albert Haque, Michelle Guo, Alexandre Alahi, Serena Yeung, Zelun Luo, Alisha Rege, Jeffrey Jopling, N. Lance Downing, William Beninati, Amit Singh, Terry Platchek, Arnold Milstein, Li Fei-Fei:
Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance. MLHC 2017: 75-87 - [c108]Zelun Luo, Yuliang Zou, Judy Hoffman, Li Fei-Fei:
Label Efficient Learning of Transferable Representations acrosss Domains and Tasks. NIPS 2017: 165-177 - 2016
- [c107]Serena Yeung, Alexandre Alahi, Albert Haque, Boya Peng, Zelun Luo, Amit Singh, Terry Platchek, Arnold Milstein, Li Fei-Fei:
Vision-Based Hand Hygiene Monitoring in Hospitals. AMIA 2016 - [c106]Ranjay A. Krishna, Kenji Hata, Stephanie Chen, Joshua Kravitz, David A. Shamma, Li Fei-Fei, Michael S. Bernstein:
Embracing Error to Enable Rapid Crowdsourcing. CHI 2016: 3167-3179 - [c105]Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan, Alexandre Robicquet, Li Fei-Fei, Silvio Savarese:
Social LSTM: Human Trajectory Prediction in Crowded Spaces. CVPR 2016: 961-971 - [c104]Albert Haque, Alexandre Alahi, Li Fei-Fei:
Recurrent Attention Models for Depth-Based Person Identification. CVPR 2016: 1229-1238 - [c103]Serena Yeung, Olga Russakovsky, Greg Mori, Li Fei-Fei:
End-to-End Learning of Action Detection from Frame Glimpses in Videos. CVPR 2016: 2678-2687 - [c102]Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander N. Gorban, Kevin Murphy, Li Fei-Fei:
Detecting Events and Key Actors in Multi-person Videos. CVPR 2016: 3043-3053 - [c101]Justin Johnson, Andrej Karpathy, Li Fei-Fei:
DenseCap: Fully Convolutional Localization Networks for Dense Captioning. CVPR 2016: 4565-4574 - [c100]Yuke Zhu, Oliver Groth, Michael S. Bernstein, Li Fei-Fei:
Visual7W: Grounded Question Answering in Images. CVPR 2016: 4995-5004 - [c99]De-An Huang, Li Fei-Fei, Juan Carlos Niebles:
Connectionist Temporal Modeling for Weakly Supervised Action Labeling. ECCV (4) 2016: 137-153 - [c98]Albert Haque, Boya Peng, Zelun Luo, Alexandre Alahi, Serena Yeung, Li Fei-Fei:
Towards Viewpoint Invariant 3D Human Pose Estimation. ECCV (1) 2016: 160-177 - [c97]Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei:
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition. ECCV (3) 2016: 301-320 - [c96]Amy L. Bearman, Olga Russakovsky, Vittorio Ferrari, Li Fei-Fei:
What's the Point: Semantic Segmentation with Point Supervision. ECCV (7) 2016: 549-565 - [c95]Justin Johnson, Alexandre Alahi, Li Fei-Fei:
Perceptual Losses for Real-Time Style Transfer and Super-Resolution. ECCV (2) 2016: 694-711 - [c94]Cewu Lu, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei:
Visual Relationship Detection with Language Priors. ECCV (1) 2016: 852-869 - [c93]Guido Pusiol, Andre Esteva, Scott S. Hall, Michael C. Frank, Arnold Milstein, Li Fei-Fei:
Vision-Based Classification of Developmental Disorders Using Eye-Movements. MICCAI (2) 2016: 317-325 - [c92]Marie E. Vachovsky, Grace Wu, Sorathan Chaturapruek, Olga Russakovsky, Richard Sommer, Li Fei-Fei:
Toward More Gender Diversity in CS through an Artificial Intelligence Summer Program for High School Girls. SIGCSE 2016: 303-308 - 2015
- [c91]Sebastian Schuster, Ranjay Krishna, Angel X. Chang, Li Fei-Fei, Christopher D. Manning:
Generating Semantically Precise Scene Graphs from Textual Descriptions for Improved Image Retrieval. VL@EMNLP 2015: 70-80 - [c90]Vignesh Ramanathan, Congcong Li, Jia Deng, Wei Han, Zhen Li, Kunlong Gu, Yang Song, Samy Bengio, Chuck Rosenberg, Li Fei-Fei:
Learning semantic relationships for better action retrieval in images. CVPR 2015: 1100-1109 - [c89]Olga Russakovsky, Li-Jia Li, Li Fei-Fei:
Best of both worlds: Human-machine collaboration for object annotation. CVPR 2015: 2121-2131 - [c88]Andrej Karpathy, Li Fei-Fei:
Deep visual-semantic alignments for generating image descriptions. CVPR 2015: 3128-3137 - [c87]Justin Johnson, Ranjay Krishna, Michael Stark, Li-Jia Li, David A. Shamma, Michael S. Bernstein, Li Fei-Fei:
Image retrieval using scene graphs. CVPR 2015: 3668-3678 - [c86]Jonathan Krause, Hailin Jin, Jianchao Yang, Li Fei-Fei:
Fine-grained recognition without part annotations. CVPR 2015: 5546-5555 - [c85]Kevin D. Tang, Manohar Paluri, Li Fei-Fei, Robert Fergus, Lubomir D. Bourdev:
Improving Image Classification with Location Context. ICCV 2015: 1008-1016 - [c84]Alexandre Alahi, Albert Haque, Li Fei-Fei:
RGB-W: When Vision Meets Wireless. ICCV 2015: 3289-3297 - [c83]Vignesh Ramanathan, Kevin D. Tang, Greg Mori, Li Fei-Fei:
Learning Temporal Embeddings for Complex Video Analysis. ICCV 2015: 4471-4479 - [c82]Justin Johnson, Lamberto Ballan, Li Fei-Fei:
Love Thy Neighbors: Image Annotation by Exploiting Image Metadata. ICCV 2015: 4624-4632 - 2014
- [c81]Jia Deng, Olga Russakovsky, Jonathan Krause, Michael S. Bernstein, Alexander C. Berg, Li Fei-Fei:
Scalable multi-label annotation. CHI 2014: 3099-3102 - [c80]Guido Pusiol, Laura Soriano, Michael C. Frank, Li Fei-Fei:
Discovering the Signatures of Joint Attention in Child-Caregiver Interaction. CogSci 2014 - [c79]Kevin D. Tang, Armand Joulin, Li-Jia Li, Li Fei-Fei:
Co-localization in Real-World Images. CVPR 2014: 1464-1471 - [c78]Andrej Karpathy, George Toderici, Sanketh Shetty, Thomas Leung, Rahul Sukthankar, Li Fei-Fei:
Large-Scale Video Classification with Convolutional Neural Networks. CVPR 2014: 1725-1732 - [c77]Alexandre Alahi, Vignesh Ramanathan, Li Fei-Fei:
Socially-Aware Large-Scale Crowd Forecasting. CVPR 2014: 2211-2218 - [c76]Vignesh Ramanathan, Armand Joulin, Percy Liang, Li Fei-Fei:
Linking People in Videos with "Their" Names Using Coreference Resolution. ECCV (1) 2014: 95-110 - [c75]Armand Joulin, Kevin D. Tang, Li Fei-Fei:
Efficient Image and Video Co-localization with Frank-Wolfe Algorithm. ECCV (6) 2014: 253-268 - [c74]Yuke Zhu, Alireza Fathi, Li Fei-Fei:
Reasoning about Object Affordances in a Knowledge Base Representation. ECCV (2) 2014: 408-424 - [c73]Jonathan Krause, Timnit Gebru, Jia Deng, Li-Jia Li, Li Fei-Fei:
Learning Features and Parts for Fine-Grained Recognition. ICPR 2014: 26-33 - [c72]Andrej Karpathy, Armand Joulin, Li Fei-Fei:
Deep Fragment Embeddings for Bidirectional Image Sentence Mapping. NIPS 2014: 1889-1897 - [c71]Sid Ying-Ze Bao, Axel Furlan, Li Fei-Fei, Silvio Savarese:
Understanding the 3D layout of a cluttered room from multiple images. WACV 2014: 690-697 - 2013
- [c70]Axel Furlan, Stephen D. Miller, Domenico G. Sorrenti, Li Fei-Fei, Silvio Savarese:
Free your Camera: 3D Indoor Scene Understanding from Arbitrary Camera Motion. BMVC 2013 - [c69]Jia Deng, Jonathan Krause, Li Fei-Fei:
Fine-Grained Crowdsourcing for Fine-Grained Recognition. CVPR 2013: 580-587 - [c68]Vignesh Ramanathan, Bangpeng Yao, Li Fei-Fei:
Social Role Discovery in Human Events. CVPR 2013: 2475-2482 - [c67]Kevin D. Tang, Rahul Sukthankar, Jay Yagnik, Li Fei-Fei:
Discriminative Segment Annotation in Weakly Labeled Video. CVPR 2013: 2483-2490 - [c66]Vignesh Ramanathan, Percy Liang, Li Fei-Fei:
Video Event Understanding Using Natural Language Descriptions. ICCV 2013: 905-912 - [c65]Olga Russakovsky, Jia Deng, Zhiheng Huang, Alexander C. Berg, Li Fei-Fei:
Detecting Avocados to Zucchinis: What Have We Done, and Where Are We Going? ICCV 2013: 2064-2071 - [c64]Bangpeng Yao, Jiayuan Ma, Li Fei-Fei:
Discovering Object Functionality. ICCV 2013: 2512-2519 - [c63]Kevin D. Tang, Bangpeng Yao, Li Fei-Fei, Daphne Koller:
Combining the Right Features for Complex Event Recognition. ICCV 2013: 2696-2703 - [c62]Jonathan Krause, Michael Stark, Jia Deng, Li Fei-Fei:
3D Object Representations for Fine-Grained Categorization. ICCV Workshops 2013: 554-561 - [c61]Andrej Karpathy, Stephen D. Miller, Li Fei-Fei:
Object discovery in 3D scenes via shape analysis. ICRA 2013: 2088-2095 - [c60]Sangmin Oh, A. G. Amitha Perera, Ilseo Kim, Megha Pandey, Kevin J. Cannons, Hossein Hajimirsadeghi, Arash Vahdat, Greg Mori, Ben Miller, Scott McCloskey, You-Chi Cheng, Zhen Huang, Chin-Hui Lee, Chenliang Xu, Rohit Kumar, Wei Chen, Jason J. Corso, Li Fei-Fei, Daphne Koller, Vignesh Ramanathan, Kevin Tang, Armand Joulin, Alexandre Alahi:
TRECVID 2013 GENIE: Multimedia Event Detection and Recounting. TRECVID 2013 - 2012
- [c59]Li-Jia Li, Jun Zhu, Hao Su, Eric P. Xing, Li Fei-Fei:
Multi-Level Structured Image Coding on High-Dimensional Image Representation. ACCV (2) 2012: 147-161 - [c58]Kevin D. Tang, Li Fei-Fei, Daphne Koller:
Learning latent temporal structure for complex event detection. CVPR 2012: 1250-1257 - [c57]Jia Deng, Jonathan Krause, Alexander C. Berg, Li Fei-Fei:
Hedging your bets: Optimizing accuracy-specificity trade-offs in large scale visual recognition. CVPR 2012: 3450-3457 - [c56]Bangpeng Yao, Gary R. Bradski, Li Fei-Fei:
A codebook-free and annotation-free approach for fine-grained image categorization. CVPR 2012: 3466-3473 - [c55]Olga Russakovsky, Yuanqing Lin, Kai Yu, Li Fei-Fei:
Object-Centric Spatial Pooling for Image Classification. ECCV (2) 2012: 1-15 - [c54]Bangpeng Yao, Li Fei-Fei:
Action Recognition with Exemplar Based 2.5D Graph Matching. ECCV (4) 2012: 173-186 - [c53]Hao Su, Jia Deng, Li Fei-Fei:
Crowdsourcing Annotations for Visual Object Detection. HCOMP@AAAI 2012 - [c52]Adams Wei Yu, Hao Su, Li Fei-Fei:
Efficient Euclidean Projections onto the Intersection of Norm Balls. ICML 2012 - [c51]Gunhee Kim, Li Fei-Fei, Eric P. Xing:
Web image prediction using multivariate point processes. KDD 2012: 1068-1076 - [c50]Kevin D. Tang, Vignesh Ramanathan, Li Fei-Fei, Daphne Koller:
Shifting Weights: Adapting Object Detectors from Image to Video. NIPS 2012: 647-655 - [c49]A. G. Amitha Perera, Sangmin Oh, Megha Pandey, Tianyang Ma, Anthony Hoogs, Arash Vahdat, Kevin J. Cannons, Hossein Hajimirsadeghi, Greg Mori, Scott McCloskey, Ben Miller, Sharath Venkatesha, Pedro Davalos, Pradipto Das, Chenliang Xu, Jason J. Corso, Rohini K. Srihari, Ilseo Kim, You-Chi Cheng, Zhen Huang, Chin-Hui Lee, Kevin Tang, Li Fei-Fei, Daphne Koller:
TRECVID 2012 GENIE: Multimedia Event Detection and Recounting. TRECVID 2012 - 2011
- [c48]Jia Deng, Alexander C. Berg, Li Fei-Fei:
Hierarchical semantic indexing for large scale image retrieval. CVPR 2011: 785-792 - [c47]Bangpeng Yao, Aditya Khosla, Li Fei-Fei:
Combining randomization and discrimination for fine-grained image categorization. CVPR 2011: 1577-1584 - [c46]Bin Zhao, Li Fei-Fei, Eric P. Xing:
Online detection of unusual events in videos via dynamic sparse coding. CVPR 2011: 3313-3320 - [c45]Gunhee Kim, Eric P. Xing, Li Fei-Fei, Takeo Kanade:
Distributed cosegmentation via submodular optimization on anisotropic diffusion. ICCV 2011: 169-176 - [c44]Bangpeng Yao, Xiaoye Jiang, Aditya Khosla, Andy Lai Lin, Leonidas J. Guibas, Li Fei-Fei:
Human action recognition by learning bases of action attributes and parts. ICCV 2011: 1331-1338 - [c43]Jia Deng, Sanjeev Satheesh, Alexander C. Berg, Li Fei-Fei:
Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition. NIPS 2011: 567-575 - [c42]Bin Zhao, Li Fei-Fei, Eric P. Xing:
Large-Scale Category Structure Aware Image Categorization. NIPS 2011: 1251-1259 - [c41]A. G. Amitha Perera, Sangmin Oh, Matthew J. Leotta, Ilseo Kim, Byungki Byun, Chin-Hui Lee, Scott McCloskey, Jingchen Liu, Ben Miller, Zhi Feng Huang, Arash Vahdat, Weilong Yang, Greg Mori, Kevin Tang, Daphne Koller, Li Fei-Fei, Kang Li, Gang Chen, Jason J. Corso, Yun Fu, Rohini K. Srihari:
GENIE TRECVID 2011 Multimedia Event Detection: Late-Fusion Approaches to Combine Multiple Audio-Visual features. TRECVID 2011 - [c40]Manolis Savva, Nicholas Kong, Arti Chhajta, Li Fei-Fei, Maneesh Agrawala, Jeffrey Heer:
ReVision: automated classification, analysis and redesign of chart images. UIST 2011: 393-402 - 2010
- [c39]Bangpeng Yao, Li Fei-Fei:
Grouplet: A structured image representation for recognizing human and object interactions. CVPR 2010: 9-16 - [c38]Bangpeng Yao, Li Fei-Fei:
Modeling mutual context of object and human pose in human-object interaction activities. CVPR 2010: 17-24 - [c37]Juan Carlos Niebles, Bohyung Han, Li Fei-Fei:
Efficient extraction of human motion volumes by tracking. CVPR 2010: 655-662 - [c36]Richard Socher, Li Fei-Fei:
Connecting modalities: Semi-supervised segmentation and annotation of images using unaligned text corpora. CVPR 2010: 966-973 - [c35]Li-Jia Li, Chong Wang, Yongwhan Lim, David M. Blei, Li Fei-Fei:
Building and using a semantivisual image hierarchy. CVPR 2010: 3336-3343 - [c34]Olga Russakovsky, Li Fei-Fei:
Attribute Learning in Large-Scale Datasets. ECCV Workshops (1) 2010: 1-14 - [c33]Li-Jia Li, Hao Su, Yongwhan Lim, Li Fei-Fei:
Objects as Attributes for Scene Classification. ECCV Workshops (1) 2010: 57-69 - [c32]Jia Deng, Alexander C. Berg, Kai Li, Li Fei-Fei:
What Does Classifying More Than 10, 000 Image Categories Tell Us? ECCV (5) 2010: 71-84 - [c31]Juan Carlos Niebles, Chih-Wei Chen, Li Fei-Fei:
Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification. ECCV (2) 2010: 392-405 - [c30]Bin Zhao, Li Fei-Fei, Eric P. Xing:
Image Segmentation with Topic Random Field. ECCV (5) 2010: 785-798 - [c29]Li-Jia Li, Hao Su, Eric P. Xing, Li Fei-Fei:
Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification. NIPS 2010: 1378-1386 - [c28]Jun Zhu, Li-Jia Li, Li Fei-Fei, Eric P. Xing:
Large Margin Learning of Upstream Scene Understanding Models. NIPS 2010: 2586-2594 - 2009
- [c27]Bangpeng Yao, Juan Carlos Niebles, Li Fei-Fei:
Mining discriminative adjectives and prepositions for natural scene recognition. CVPR Workshops 2009: 100-106 - [c26]Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, Li Fei-Fei:
ImageNet: A large-scale hierarchical image database. CVPR 2009: 248-255 - [c25]Min Sun, Hao Su, Silvio Savarese, Li Fei-Fei:
A multi-view probabilistic model for 3D object classes. CVPR 2009: 1247-1254 - [c24]Chong Wang, David M. Blei, Li Fei-Fei:
Simultaneous image classification and annotation. CVPR 2009: 1903-1910 - [c23]Li-Jia Li, Richard Socher, Li Fei-Fei:
Towards total scene understanding: Classification, annotation and segmentation in an automatic framework. CVPR 2009: 2036-2043 - [c22]Hao Su, Min Sun, Li Fei-Fei, Silvio Savarese:
Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories. ICCV 2009: 213-220 - [c21]Barry Chai, Dirk B. Walther, Diane M. Beck, Li Fei-Fei:
Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis. NIPS 2009: 270-278 - [c20]Bangpeng Yao, Dirk B. Walther, Diane M. Beck, Li Fei-Fei:
Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions. NIPS 2009: 2178-2186 - 2008
- [c19]Brendan Collins, Jia Deng, Kai Li, Li Fei-Fei:
Towards Scalable Dataset Construction: An Active Learning Approach. ECCV (1) 2008: 86-98 - [c18]Juan Carlos Niebles, Bohyung Han, Andras Ferencz, Li Fei-Fei:
Extracting Moving People from Internet Videos. ECCV (4) 2008: 527-540 - [c17]Silvio Savarese, Li Fei-Fei:
View Synthesis for Recognizing Unseen Poses of Object Classes. ECCV (3) 2008: 602-615 - [c16]Jilin Tu, Yun Fu, Aleksandar Ivanovic, Thomas S. Huang, Li Fei-Fei:
Variational Transform Invariant Mixture of Probabilistic PCA. WACV 2008: 1-6 - 2007
- [c15]Li-Jia Li, Juan Carlos Niebles, Li Fei-Fei:
OPTIMOL: A Framework for Online Picture Collection via Incremental Model Learning. AAAI 2007: 1987-1988 - [c14]Li-Jia Li, Gang Wang, Li Fei-Fei:
OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning. CVPR 2007 - [c13]Juan Carlos Niebles, Li Fei-Fei:
A Hierarchical Model of Shape and Appearance for Human Action Classification. CVPR 2007 - [c12]Liangliang Cao, Li Fei-Fei:
Spatially Coherent Latent Topic Model for Concurrent Segmentation and Classification of Objects and Scenes. ICCV 2007: 1-8 - [c11]Li-Jia Li, Li Fei-Fei:
What, where and who? Classifying events by scene and object recognition. ICCV 2007: 1-8 - [c10]Silvio Savarese, Li Fei-Fei:
3D generic object categorization, localization and pose estimation. ICCV 2007: 1-8 - 2006
- [c9]Juan Carlos Niebles, Hongcheng Wang, Li Fei-Fei:
Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words. BMVC 2006: 1249-1258 - [c8]Gang Wang, Ye Zhang, Li Fei-Fei:
Using Dependent Regions for Object Categorization in a Generative Framework. CVPR (2) 2006: 1597-1604 - [c7]Akash Kushal, Mandar Rahurkar, Li Fei-Fei, Jean Ponce, Thomas S. Huang:
Audio-Visual Speaker Localization Using Graphical Models. ICPR (1) 2006: 291-294 - [c6]Jilin Tu, Aleksandar Ivanovic, Xun Xu, Li Fei-Fei, Thomas S. Huang:
Variational Shift Invariant Probabilistic PCA for Face Recognition. ICPR (3) 2006: 548-551 - 2005
- [c5]Li Fei-Fei, Pietro Perona:
A Bayesian Hierarchical Model for Learning Natural Scene Categories. CVPR (2) 2005: 524-531 - [c4]Robert Fergus, Li Fei-Fei, Pietro Perona, Andrew Zisserman:
Learning Object Categories from Google's Image Search. ICCV 2005: 1816-1823 - 2004
- [c3]Silvio Savarese, Li Fei-Fei, Pietro Perona:
What do reflections tell us about the shape of a mirror? APGV 2004: 115-118 - [c2]Li Fei-Fei, Rob Fergus, Pietro Perona:
Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories. CVPR Workshops 2004: 178 - 2003
- [c1]Li Fei-Fei, Robert Fergus, Pietro Perona:
A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories. ICCV 2003: 1134-1141
Parts in Books or Collections
- 2021
- [p8]Andreas Dengel, Oren Etzioni, Nicole DeCario, Holger H. Hoos, Li Fei-Fei, Junichi Tsujii, Paolo Traverso:
Next Big Challenges in Core AI Technology. Reflections on Artificial Intelligence for Humanity 2021: 90-115 - 2019
- [p7]Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei:
Thoracic Disease Identification and Localization with Limited Supervision. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 139-161 - 2017
- [p6]Alexandre Alahi, Vignesh Ramanathan, Li Fei-Fei:
Tracking Millions of Humans in Crowded Spaces. Group and Crowd Behavior for Computer Vision 2017: 115-135 - [p5]Alexandre Alahi, Vignesh Ramanathan, Kratarth Goel, Alexandre Robicquet, Amir A. Sadeghian, Li Fei-Fei, Silvio Savarese:
Learning to Predict Human Behavior in Crowded Scenes. Group and Crowd Behavior for Computer Vision 2017: 183-207 - 2014
- [p4]Vignesh Ramanathan, Bangpeng Yao, Li Fei-Fei:
Social Role Recognition for Human Event Understanding. Human-Centered Social Media Analytics 2014: 75-93 - [p3]Aditya Khosla, Bangpeng Yao, Li Fei-Fei:
Integrating Randomization and Discrimination for Classifying Human-Object Interaction Activities. Human-Centered Social Media Analytics 2014: 95-114 - 2010
- [p2]Li Fei-Fei, Li-Jia Li:
What, Where and Who? Telling the Story of an Image by Activity Classification, Scene Recognition and Object Categorization. Computer Vision: Detection, Recognition and Reconstruction 2010: 157-171 - [p1]Silvio Savarese, Li Fei-Fei:
Multi-view Object Categorization and Pose Estimation. Computer Vision: Detection, Recognition and Reconstruction 2010: 205-231
Data and Artifacts
- 2016
- [d2]Albert Haque, Boya Peng, Zelun Luo, Alexandre Alahi, Serena Yeung, Li Fei-Fei:
ITOP Dataset. Zenodo, 2016
- 2015
- [d1]Alexandre Alahi, Albert Haque, Li Fei-Fei:
RGB-W Dataset. Zenodo, 2015
Informal and Other Publications
- 2024
- [i172]Tiange Xiang, Adam Sun, Scott L. Delp, Kazuki Kozuka, Li Fei-Fei, Ehsan Adeli:
Wild2Avatar: Rendering Humans Behind Occlusions. CoRR abs/2401.00431 (2024) - [i171]Zane Durante, Qiuyuan Huang, Naoki Wake, Ran Gong, Jae Sung Park, Bidipta Sarkar, Rohan Taori, Yusuke Noda, Demetri Terzopoulos, Yejin Choi, Katsushi Ikeuchi, Hoi Vo, Li Fei-Fei, Jianfeng Gao:
Agent AI: Surveying the Horizons of Multimodal Interaction. CoRR abs/2401.03568 (2024) - [i170]Zane Durante, Bidipta Sarkar, Ran Gong, Rohan Taori, Yusuke Noda, Paul Tang, Ehsan Adeli, Shrinidhi Kowshika Lakshmikanth, Kevin A. Schulman, Arnold Milstein, Demetri Terzopoulos, Ade Famoti, Noboru Kuno, Ashley J. Llorens, Hoi Vo, Katsushi Ikeuchi, Li Fei-Fei, Jianfeng Gao, Naoki Wake, Qiuyuan Huang:
An Interactive Agent Foundation Model. CoRR abs/2402.05929 (2024) - [i169]Qiuyuan Huang, Naoki Wake, Bidipta Sarkar, Zane Durante, Ran Gong, Rohan Taori, Yusuke Noda, Demetri Terzopoulos, Noboru Kuno, Ade Famoti, Ashley J. Llorens, John Langford, Hoi Vo, Li Fei-Fei, Katsushi Ikeuchi, Jianfeng Gao:
Position Paper: Agent AI Towards a Holistic Intelligence. CoRR abs/2403.00833 (2024) - [i168]Chen Wang, Haochen Shi, Weizhuo Wang, Ruohan Zhang, Li Fei-Fei, C. Karen Liu:
DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation. CoRR abs/2403.07788 (2024) - [i167]Chengshu Li, Ruohan Zhang, Josiah Wong, Cem Gokmen, Sanjana Srivastava, Roberto Martín-Martín, Chen Wang, Gabrael Levine, Wensi Ai, Benjamin Martinez, Hang Yin, Michael Lingelbach, Minjune Hwang, Ayano Hiranaka, Sujay Garlanka, Arman Aydin, Sharon Lee, Jiankai Sun, Mona Anvari, Manasi Sharma, Dhruva Bansal, Samuel Hunter, Kyu-Young Kim, Alan Lou, Caleb R. Matthews, Ivan Villa-Renteria, Jerry Huayang Tang, Claire Tang, Fei Xia, Yunzhu Li, Silvio Savarese, Hyowon Gweon, C. Karen Liu, Jiajun Wu, Li Fei-Fei:
BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1, 000 Everyday Activities and Realistic Simulation. CoRR abs/2403.09227 (2024) - 2023
- [i166]Chen Wang, Linxi Fan, Jiankai Sun, Ruohan Zhang, Li Fei-Fei, Danfei Xu, Yuke Zhu, Anima Anandkumar:
MimicPlay: Long-Horizon Imitation Learning by Watching Human Play. CoRR abs/2302.12422 (2023) - [i165]Bohan Wu, Roberto Martin Martin, Li Fei-Fei:
M-EMBER: Tackling Long-Horizon Mobile Manipulation via Factorized Domain Transfer. CoRR abs/2305.13567 (2023) - [i164]Agrim Gupta, Jiajun Wu, Jia Deng, Li Fei-Fei:
Siamese Masked Autoencoders. CoRR abs/2305.14344 (2023) - [i163]Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Chengshu Li, Emily Jin, Ruohan Zhang, Fei-Fei Li, Jiajun Wu, Silvio Savarese, Roberto Martín-Martín:
Modeling Dynamic Environments with Scene Graph Memory. CoRR abs/2305.17537 (2023) - [i162]Ruohan Gao, Hao Li, Gokul Dharan, Zhuzhu Wang, Chengshu Li, Fei Xia, Silvio Savarese, Li Fei-Fei, Jiajun Wu:
Sonicverse: A Multisensory Simulation Platform for Embodied Household Agents that See and Hear. CoRR abs/2306.00923 (2023) - [i161]Ruohan Gao, Yiming Dou, Hao Li, Tanmay Agarwal, Jeannette Bohg, Yunzhu Li, Li Fei-Fei, Jiajun Wu:
The ObjectFolder Benchmark: Multisensory Learning with Neural and Real Objects. CoRR abs/2306.00956 (2023) - [i160]Anirudh Sriram, Adrien Gaidon, Jiajun Wu, Juan Carlos Niebles, Li Fei-Fei, Ehsan Adeli:
HomE: Homography-Equivariant Video Representation Learning. CoRR abs/2306.01623 (2023) - [i159]Michael Lingelbach, Chengshu Li, Minjune Hwang, Andrey Kurenkov, Alan Lou, Roberto Martín-Martín, Ruohan Zhang, Li Fei-Fei, Jiajun Wu:
Task-Driven Graph Attention for Hierarchical Relational Object Navigation. CoRR abs/2306.13760 (2023) - [i158]Zelun Luo, Yuliang Zou, Yijin Yang, Zane Durante, De-An Huang, Zhiding Yu, Chaowei Xiao, Li Fei-Fei, Animashree Anandkumar:
Differentially Private Video Activity Recognition. CoRR abs/2306.15742 (2023) - [i157]Yixuan Wang, Yunzhu Li, Katherine Driggs Campbell, Li Fei-Fei, Jiajun Wu:
Dynamic-Resolution Model Learning for Object Pile Manipulation. CoRR abs/2306.16700 (2023) - [i156]Wenlong Huang, Chen Wang, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Li Fei-Fei:
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models. CoRR abs/2307.05973 (2023) - [i155]Ayano Hiranaka, Minjune Hwang, Sharon Lee, Chen Wang, Li Fei-Fei, Jiajun Wu, Ruohan Zhang:
Primitive Skill-based Robot Learning from Human Evaluative Feedback. CoRR abs/2307.15801 (2023) - [i154]Tiange Xiang, Adam Sun, Jiajun Wu, Ehsan Adeli, Li Fei-Fei:
Rendering Humans from Object-Occluded Monocular Videos. CoRR abs/2308.04622 (2023) - [i153]Yuanpei Chen, Chen Wang, Li Fei-Fei, C. Karen Liu:
Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation. CoRR abs/2309.00987 (2023) - [i152]Ran Gong, Qiuyuan Huang, Xiaojian Ma, Hoi Vo, Zane Durante, Yusuke Noda, Zilong Zheng, Song-Chun Zhu, Demetri Terzopoulos, Li Fei-Fei, Jianfeng Gao:
MindAgent: Emergent Gaming Interaction. CoRR abs/2309.09971 (2023) - [i151]Yixuan Wang, Zhuoran Li, Mingtong Zhang, Katherine Rose Driggs-Campbell, Jiajun Wu, Li Fei-Fei, Yunzhu Li:
D3Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Robotic Manipulation. CoRR abs/2309.16118 (2023) - [i150]Emily Jin, Jiaheng Hu, Zhuoyi Huang, Ruohan Zhang, Jiajun Wu, Li Fei-Fei, Roberto Martín-Martín:
Mini-BEHAVIOR: A Procedurally Generated Benchmark for Long-horizon Decision-Making in Embodied AI. CoRR abs/2310.01824 (2023) - [i149]Kyle Sargent, Zizhang Li, Tanmay Shah, Charles Herrmann, Hong-Xing Yu, Yunzhi Zhang, Eric Ryan Chan, Dmitry Lagun, Li Fei-Fei, Deqing Sun, Jiajun Wu:
ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Real Image. CoRR abs/2310.17994 (2023) - [i148]Ruohan Zhang, Sharon Lee, Minjune Hwang, Ayano Hiranaka, Chen Wang, Wensi Ai, Jin Jie Ryan Tan, Shreya Gupta, Yilun Hao, Gabrael Levine, Ruohan Gao, Anthony Norcia, Li Fei-Fei, Jiajun Wu:
NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities. CoRR abs/2311.01454 (2023) - [i147]Tony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai, Joon Sung Park, Agrim Gupta, Yunzhi Zhang, Deepak Narayanan, Hannah Benita Teufel, Marco Bellagente, Minguk Kang, Taesung Park, Jure Leskovec, Jun-Yan Zhu, Li Fei-Fei, Jiajun Wu, Stefano Ermon, Percy Liang:
Holistic Evaluation of Text-To-Image Models. CoRR abs/2311.04287 (2023) - [i146]Chengshu Li, Jacky Liang, Andy Zeng, Xinyun Chen, Karol Hausman, Dorsa Sadigh, Sergey Levine, Li Fei-Fei, Fei Xia, Brian Ichter:
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator. CoRR abs/2312.04474 (2023) - [i145]Agrim Gupta, Lijun Yu, Kihyuk Sohn, Xiuye Gu, Meera Hahn, Li Fei-Fei, Irfan Essa, Lu Jiang, José Lezama:
Photorealistic Video Generation with Diffusion Models. CoRR abs/2312.06662 (2023) - [i144]Ziang Liu, Genggeng Zhou, Jeff He, Tobia Marcucci, Li Fei-Fei, Jiajun Wu, Yunzhu Li:
Model-Based Control with Sparse Neural Dynamics. CoRR abs/2312.12791 (2023) - 2022
- [i143]Agrim Gupta, Linxi Fan, Surya Ganguli, Li Fei-Fei:
MetaMorph: Learning Universal Controllers with Transformers. CoRR abs/2203.11931 (2022) - [i142]Ruohan Gao, Zilin Si, Yen-Yu Chang, Samuel Clarke, Jeannette Bohg, Li Fei-Fei, Wenzhen Yuan, Jiajun Wu:
ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer. CoRR abs/2204.02389 (2022) - [i141]Chen Wang, Danfei Xu, Li Fei-Fei:
Generalizable Task Planning through Representation Pretraining. CoRR abs/2205.07993 (2022) - [i140]Shyamal Buch, Cristóbal Eyzaguirre, Adrien Gaidon, Jiajun Wu, Li Fei-Fei, Juan Carlos Niebles:
Revisiting the "Video" in Video-Language Understanding. CoRR abs/2206.01720 (2022) - [i139]Carlos Hinojosa, Miguel Marquez, Henry Arguello, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles:
PrivHAR: Recognizing Human Actions From Privacy-preserving Lens. CoRR abs/2206.03891 (2022) - [i138]Ziang Liu, Roberto Martín-Martín, Fei Xia, Jiajun Wu, Li Fei-Fei:
BEHAVIOR in Habitat 2.0: Simulator-Independent Logical Task Description for Benchmarking Embodied AI Agents. CoRR abs/2206.06489 (2022) - [i137]Agrim Gupta, Stephen Tian, Yunzhi Zhang, Jiajun Wu, Roberto Martín-Martín, Li Fei-Fei:
MaskViT: Masked Visual Pre-Training for Video Prediction. CoRR abs/2206.11894 (2022) - [i136]Mark Endo, Kathleen L. Poston, Edith V. Sullivan, Li Fei-Fei, Kilian M. Pohl, Ehsan Adeli:
GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation. CoRR abs/2207.00106 (2022) - [i135]Yunfan Jiang, Agrim Gupta, Zichen Zhang, Guanzhi Wang, Yongqiang Dou, Yanjun Chen, Li Fei-Fei, Anima Anandkumar, Yuke Zhu, Linxi Fan:
VIMA: General Robot Manipulation with Multimodal Prompts. CoRR abs/2210.03094 (2022) - [i134]Zixian Ma, Rose Wang, Li Fei-Fei, Michael S. Bernstein, Ranjay Krishna:
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward. CoRR abs/2210.04365 (2022) - [i133]Matt Deitke, Dhruv Batra, Yonatan Bisk, Tommaso Campari, Angel X. Chang, Devendra Singh Chaplot, Changan Chen, Claudia Pérez-D'Arpino, Kiana Ehsani, Ali Farhadi, Li Fei-Fei, Anthony G. Francis, Chuang Gan, Kristen Grauman, David Hall, Winson Han, Unnat Jain, Aniruddha Kembhavi, Jacob Krantz, Stefan Lee, Chengshu Li, Sagnik Majumder, Oleksandr Maksymets, Roberto Martín-Martín, Roozbeh Mottaghi, Sonia Raychaudhuri, Mike Roberts, Silvio Savarese, Manolis Savva, Mohit Shridhar, Niko Sünderhauf, Andrew Szot, Ben Talbot, Joshua B. Tenenbaum, Jesse Thomason, Alexander Toshev, Joanne Truong, Luca Weihs, Jiajun Wu:
Retrospectives on the Embodied AI Workshop. CoRR abs/2210.06849 (2022) - [i132]Kuan Fang, Toki Migimatsu, Ajay Mandlekar, Li Fei-Fei, Jeannette Bohg:
Active Task Randomization: Learning Visuomotor Skills for Sequential Manipulation by Proposing Feasible and Novel Tasks. CoRR abs/2211.06134 (2022) - [i131]Hao Li, Yizhi Zhang, Junzhe Zhu, Shaoxiong Wang, Michelle A. Lee, Huazhe Xu, Edward H. Adelson, Li Fei-Fei, Ruohan Gao, Jiajun Wu:
See, Hear, and Feel: Smart Sensory Fusion for Robotic Manipulation. CoRR abs/2212.03858 (2022) - 2021
- [i130]Agrim Gupta, Silvio Savarese, Surya Ganguli, Li Fei-Fei:
Embodied Intelligence via Learning and Evolution. CoRR abs/2102.02202 (2021) - [i129]Chen Wang, Rui Wang, Danfei Xu, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese:
Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control. CoRR abs/2103.00375 (2021) - [i128]Bohan Wu, Suraj Nair, Roberto Martín-Martín, Li Fei-Fei, Chelsea Finn:
Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction. CoRR abs/2103.04174 (2021) - [i127]Kaiyu Yang, Jacqueline Yau, Li Fei-Fei, Jia Deng, Olga Russakovsky:
A Study of Face Obfuscation in ImageNet. CoRR abs/2103.06191 (2021) - [i126]Mandy Lu, Qingyu Zhao, Jiequan Zhang, Kilian M. Pohl, Li Fei-Fei, Juan Carlos Niebles, Ehsan Adeli:
Metadata Normalization. CoRR abs/2104.09052 (2021) - [i125]Liangqiong Qu, Yuyin Zhou, Paul Pu Liang, Yingda Xia, Feifei Wang, Li Fei-Fei, Ehsan Adeli, Daniel L. Rubin:
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning. CoRR abs/2106.06047 (2021) - [i124]Daniel M. Bear, Elias Wang, Damian Mrowca, Felix J. Binder, Hsiau-Yu Fish Tung, R. T. Pramod, Cameron Holdaway, Sirui Tao, Kevin A. Smith, Fan-Yun Sun, Li Fei-Fei, Nancy Kanwisher, Joshua B. Tenenbaum, Daniel L. K. Yamins, Judith E. Fan:
Physion: Evaluating Physical Prediction from Vision in Humans and Machines. CoRR abs/2106.08261 (2021) - [i123]Linxi Fan, Guanzhi Wang, De-An Huang, Zhiding Yu, Li Fei-Fei, Yuke Zhu, Anima Anandkumar:
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies. CoRR abs/2106.09678 (2021) - [i122]Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Discovering Generalizable Skills via Automated Generation of Diverse Tasks. CoRR abs/2106.13935 (2021) - [i121]Siddharth Karamcheti, Ranjay Krishna, Li Fei-Fei, Christopher D. Manning:
Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering. CoRR abs/2107.02331 (2021) - [i120]Kaylee Burns, Christopher D. Manning, Li Fei-Fei:
Neural Abstructions: Abstractions that Support Construction for Grounded Language Learning. CoRR abs/2107.09285 (2021) - [i119]Chengshu Li, Fei Xia, Roberto Martín-Martín, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, Andrey Kurenkov, C. Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, Silvio Savarese:
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks. CoRR abs/2108.03272 (2021) - [i118]Ajay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Li Fei-Fei, Silvio Savarese, Yuke Zhu, Roberto Martín-Martín:
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation. CoRR abs/2108.03298 (2021) - [i117]Sanjana Srivastava, Chengshu Li, Michael Lingelbach, Roberto Martín-Martín, Fei Xia, Kent Vainio, Zheng Lian, Cem Gokmen, Shyamal Buch, C. Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu, Li Fei-Fei:
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments. CoRR abs/2108.03332 (2021) - [i116]Chen Wang, Claudia Pérez-D'Arpino, Danfei Xu, Li Fei-Fei, C. Karen Liu, Silvio Savarese:
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration. CoRR abs/2108.06038 (2021) - [i115]Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.:
On the Opportunities and Risks of Foundation Models. CoRR abs/2108.07258 (2021) - [i114]Ruohan Gao, Yen-Yu Chang, Shivani Mall, Li Fei-Fei, Jiajun Wu:
ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations. CoRR abs/2109.07991 (2021) - [i113]Bohan Wu, Suraj Nair, Li Fei-Fei, Chelsea Finn:
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks. CoRR abs/2109.10312 (2021) - [i112]Ranjay Krishna, Mitchell L. Gordon, Li Fei-Fei, Michael S. Bernstein:
Visual Intelligence through Human Interaction. CoRR abs/2111.06913 (2021) - [i111]Josiah Wong, Albert Tung, Andrey Kurenkov, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese, Roberto Martín-Martín:
Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation. CoRR abs/2112.05251 (2021) - 2020
- [i110]Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín, Silvio Savarese, Li Fei-Fei:
Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations. CoRR abs/2003.06085 (2020) - [i109]Daniel M. Bear, Chaofei Fan, Damian Mrowca, Yunzhu Li, Seth Alter, Aran Nayebi, Jeremy Schwartz, Li Fei-Fei, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins:
Learning Physical Graph Representations from Visual Scenes. CoRR abs/2006.12373 (2020) - [i108]Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Adaptive Procedural Task Generation for Hard-Exploration Problems. CoRR abs/2007.00350 (2020) - [i107]Mandy Lu, Kathleen L. Poston, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Kilian M. Pohl, Juan Carlos Niebles, Ehsan Adeli:
Vision-based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson's Disease Motor Severity. CoRR abs/2007.08920 (2020) - [i106]Pranav Khadpe, Ranjay Krishna, Li Fei-Fei, Jeffrey T. Hancock, Michael S. Bernstein:
Conceptual Metaphors Impact Perceptions of Human-AI Collaboration. CoRR abs/2008.02311 (2020) - [i105]Danfei Xu, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Deep Affordance Foresight: Planning Through What Can Be Done in the Future. CoRR abs/2011.08424 (2020) - [i104]Bokui Shen, Fei Xia, Chengshu Li, Roberto Martín-Martín, Linxi Fan, Guanzhi Wang, Shyamal Buch, Claudia D'Arpino, Sanjana Srivastava, Lyne P. Tchapmi, Micael E. Tchapmi, Kent Vainio, Li Fei-Fei, Silvio Savarese:
iGibson, a Simulation Environment for Interactive Tasks in Large Realistic Scenes. CoRR abs/2012.02924 (2020) - [i103]Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín, Yuke Zhu, Li Fei-Fei, Silvio Savarese:
Human-in-the-Loop Imitation Learning using Remote Teleoperation. CoRR abs/2012.06733 (2020) - [i102]Albert Tung, Josiah Wong, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Li Fei-Fei, Silvio Savarese:
Learning Multi-Arm Manipulation Through Collaborative Teleoperation. CoRR abs/2012.06738 (2020) - 2019
- [i101]Chien-Yi Chang, De-An Huang, Yanan Sui, Li Fei-Fei, Juan Carlos Niebles:
D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation. CoRR abs/1901.02598 (2019) - [i100]Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan L. Yuille, Li Fei-Fei:
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation. CoRR abs/1901.02985 (2019) - [i99]Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martín-Martín, Cewu Lu, Li Fei-Fei, Silvio Savarese:
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion. CoRR abs/1901.04780 (2019) - [i98]Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander G. Hauptmann, Li Fei-Fei:
Peeking into the Future: Predicting Future Person Activities and Locations in Videos. CoRR abs/1902.03748 (2019) - [i97]Albert Haque, Michelle Guo, Prateek Verma, Li Fei-Fei:
Audio-Linguistic Embeddings for Spoken Sentences. CoRR abs/1902.07817 (2019) - [i96]Kuan Fang, Alexander Toshev, Li Fei-Fei, Silvio Savarese:
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks. CoRR abs/1903.03878 (2019) - [i95]Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei:
Information Maximizing Visual Question Generation. CoRR abs/1903.11207 (2019) - [i94]Vincent S. Chen, Paroma Varma, Ranjay Krishna, Michael S. Bernstein, Christopher Ré, Li Fei-Fei:
Scene Graph Prediction with Limited Labels. CoRR abs/1904.11622 (2019) - [i93]Apoorva Dornadula, Austin Narcomey, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei:
Visual Relationships as Functions: Enabling Few-Shot Scene Graph Prediction. CoRR abs/1906.04876 (2019) - [i92]Chien-Yi Chang, De-An Huang, Danfei Xu, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles:
Procedure Planning in Instructional Videos. CoRR abs/1907.01172 (2019) - [i91]Michelle A. Lee, Yuke Zhu, Peter Zachares, Matthew Tan, Krishnan Srinivasan, Silvio Savarese, Li Fei-Fei, Animesh Garg, Jeannette Bohg:
Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks. CoRR abs/1907.13098 (2019) - [i90]De-An Huang, Danfei Xu, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei, Juan Carlos Niebles:
Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning. CoRR abs/1908.06769 (2019) - [i89]William B. Shen, Danfei Xu, Yuke Zhu, Leonidas J. Guibas, Li Fei-Fei, Silvio Savarese:
Situational Fusion of Visual Representation for Visual Navigation. CoRR abs/1908.09073 (2019) - [i88]Linxi Fan, Yuke Zhu, Jiren Zhu, Zihua Liu, Orien Zeng, Anchit Gupta, Joan Creus-Costa, Silvio Savarese, Li Fei-Fei:
SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning. CoRR abs/1909.12989 (2019) - [i87]Yunbo Wang, Bo Liu, Jiajun Wu, Yuke Zhu, Simon S. Du, Li Fei-Fei, Joshua B. Tenenbaum:
Dual Sequential Monte Carlo: Tunneling Filtering and Planning in Continuous POMDPs. CoRR abs/1909.13003 (2019) - [i86]Danfei Xu, Roberto Martín-Martín, De-An Huang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Regression Planning Networks. CoRR abs/1909.13072 (2019) - [i85]Suraj Nair, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Causal Induction from Visual Observations for Goal Directed Tasks. CoRR abs/1910.01751 (2019) - [i84]Ehsan Adeli, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Juan Carlos Niebles, Kilian M. Pohl:
Bias-Resilient Neural Network. CoRR abs/1910.03676 (2019) - [i83]Chen Wang, Roberto Martín-Martín, Danfei Xu, Jun Lv, Cewu Lu, Li Fei-Fei, Silvio Savarese, Yuke Zhu:
6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints. CoRR abs/1910.10750 (2019) - [i82]Zengyi Qin, Kuan Fang, Yuke Zhu, Li Fei-Fei, Silvio Savarese:
KETO: Learning Keypoint Representations for Tool Manipulation. CoRR abs/1910.11977 (2019) - [i81]Kuan Fang, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei:
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation. CoRR abs/1910.13395 (2019) - [i80]Ajay Mandlekar, Jonathan Booher, Max Spero, Albert Tung, Anchit Gupta, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei:
Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity. CoRR abs/1911.04052 (2019) - [i79]Ajay Mandlekar, Fabio Ramos, Byron Boots, Li Fei-Fei, Animesh Garg, Dieter Fox:
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data. CoRR abs/1911.05321 (2019) - [i78]De-An Huang, Yu-Wei Chao, Chris Paxton, Xinke Deng, Li Fei-Fei, Juan Carlos Niebles, Animesh Garg, Dieter Fox:
Motion Reasoning for Goal-Based Imitation Learning. CoRR abs/1911.05864 (2019) - [i77]Khaled Jedoui, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei:
Deep Bayesian Active Learning for Multiple Correct Outputs. CoRR abs/1912.01119 (2019) - [i76]Jingwei Ji, Ranjay Krishna, Li Fei-Fei, Juan Carlos Niebles:
Action Genome: Actions as Composition of Spatio-temporal Scene Graphs. CoRR abs/1912.06992 (2019) - [i75]Kaiyu Yang, Klint Qinami, Li Fei-Fei, Jia Deng, Olga Russakovsky:
Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy. CoRR abs/1912.07726 (2019) - 2018
- [i74]Nick Haber, Damian Mrowca, Li Fei-Fei, Daniel L. K. Yamins:
Learning to Play with Intrinsically-Motivated Self-Aware Agents. CoRR abs/1802.07442 (2018) - [i73]Nick Haber, Damian Mrowca, Li Fei-Fei, Daniel L. K. Yamins:
Emergence of Structured Behaviors from Curiosity-Based Intrinsic Motivation. CoRR abs/1802.07461 (2018) - [i72]Amy Jin, Serena Yeung, Jeffrey Jopling, Jonathan Krause, Dan Azagury, Arnold Milstein, Li Fei-Fei:
Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks. CoRR abs/1802.08774 (2018) - [i71]Ranjay Krishna, Ines Chami, Michael S. Bernstein, Li Fei-Fei:
Referring Relationships. CoRR abs/1803.10362 (2018) - [i70]Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, Alexandre Alahi:
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks. CoRR abs/1803.10892 (2018) - [i69]Xinlei Chen, Li-Jia Li, Li Fei-Fei, Abhinav Gupta:
Iterative Visual Reasoning Beyond Convolutions. CoRR abs/1803.11189 (2018) - [i68]Joseph Suarez, Justin Johnson, Li Fei-Fei:
DDRprog: A CLEVR Differentiable Dynamic Reasoning Programmer. CoRR abs/1803.11361 (2018) - [i67]Justin Johnson, Agrim Gupta, Li Fei-Fei:
Image Generation from Scene Graphs. CoRR abs/1804.01622 (2018) - [i66]Jun-Ting Hsieh, Bingbin Liu, De-An Huang, Li Fei-Fei, Juan Carlos Niebles:
Learning to Decompose and Disentangle Representations for Video Prediction. CoRR abs/1806.04166 (2018) - [i65]Damian Mrowca, Chengxu Zhuang, Elias Wang, Nick Haber, Li Fei-Fei, Joshua B. Tenenbaum, Daniel L. K. Yamins:
Flexible Neural Representation for Physics Prediction. CoRR abs/1806.08047 (2018) - [i64]Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov, Viraj Mehta, Li Fei-Fei, Silvio Savarese:
Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision. CoRR abs/1806.09266 (2018) - [i63]De-An Huang, Suraj Nair, Danfei Xu, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese, Juan Carlos Niebles:
Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration. CoRR abs/1807.03480 (2018) - [i62]Jiren Zhu, Russell Kaplan, Justin Johnson, Li Fei-Fei:
HiDDeN: Hiding Data With Deep Networks. CoRR abs/1807.09937 (2018) - [i61]Michelle A. Lee, Yuke Zhu, Krishnan Srinivasan, Parth Shah, Silvio Savarese, Li Fei-Fei, Animesh Garg, Jeannette Bohg:
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks. CoRR abs/1810.10191 (2018) - [i60]Ajay Mandlekar, Yuke Zhu, Animesh Garg, Jonathan Booher, Max Spero, Albert Tung, Julian Gao, John Emmons, Anchit Gupta, Emre Orbay, Silvio Savarese, Li Fei-Fei:
RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation. CoRR abs/1811.02790 (2018) - [i59]Albert Haque, Michelle Guo, Adam S. Miner, Li Fei-Fei:
Measuring Depression Symptom Severity from Spoken Language and 3D Facial Expressions. CoRR abs/1811.08592 (2018) - [i58]Edward Chou, Matthew Tan, Cherry Zou, Michelle Guo, Albert Haque, Arnold Milstein, Li Fei-Fei:
Privacy-Preserving Action Recognition for Smart Hospitals using Low-Resolution Depth Images. CoRR abs/1811.09950 (2018) - [i57]Edward Chou, Thao Nguyen, Josh Beal, Albert Haque, Li Fei-Fei:
A Fully Private Pipeline for Deep Learning on Electronic Health Records. CoRR abs/1811.09951 (2018) - [i56]Edward Chou, Josh Beal, Daniel Levy, Serena Yeung, Albert Haque, Li Fei-Fei:
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference. CoRR abs/1811.09953 (2018) - [i55]David Xue, Anin Sayana, Evan Darke, Kelly Shen, Jun-Ting Hsieh, Zelun Luo, Li-Jia Li, N. Lance Downing, Arnold Milstein, Li Fei-Fei:
Vision-Based Gait Analysis for Senior Care. CoRR abs/1812.00169 (2018) - [i54]Nam Vo, Lu Jiang, Chen Sun, Kevin Murphy, Li-Jia Li, Li Fei-Fei, James Hays:
Composing Text and Image for Image Retrieval - An Empirical Odyssey. CoRR abs/1812.07119 (2018) - 2017
- [i53]Zelun Luo, Boya Peng, De-An Huang, Alexandre Alahi, Li Fei-Fei:
Unsupervised Learning of Long-Term Motion Dynamics for Videos. CoRR abs/1701.01821 (2017) - [i52]Danfei Xu, Yuke Zhu, Christopher B. Choy, Li Fei-Fei:
Scene Graph Generation by Iterative Message Passing. CoRR abs/1701.02426 (2017) - [i51]Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Erez Aiden Lieberman, Li Fei-Fei:
Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US. CoRR abs/1702.06683 (2017) - [i50]De-An Huang, Joseph J. Lim, Li Fei-Fei, Juan Carlos Niebles:
Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos. CoRR abs/1703.02521 (2017) - [i49]Ranjay Krishna, Kenji Hata, Frederic Ren, Li Fei-Fei, Juan Carlos Niebles:
Dense-Captioning Events in Videos. CoRR abs/1705.00754 (2017) - [i48]Agrim Gupta, Justin Johnson, Alexandre Alahi, Li Fei-Fei:
Characterizing and Improving Stability in Neural Style Transfer. CoRR abs/1705.02092 (2017) - [i47]Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick:
Inferring and Executing Programs for Visual Reasoning. CoRR abs/1705.03633 (2017) - [i46]Yuke Zhu, Daniel Gordon, Eric Kolve, Dieter Fox, Li Fei-Fei, Abhinav Gupta, Roozbeh Mottaghi, Ali Farhadi:
Visual Semantic Planning using Deep Successor Representations. CoRR abs/1705.08080 (2017) - [i45]Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei:
Learning to Learn from Noisy Web Videos. CoRR abs/1706.02884 (2017) - [i44]Serena Yeung, Anitha Kannan, Yann N. Dauphin, Li Fei-Fei:
Tackling Over-pruning in Variational Autoencoders. CoRR abs/1706.03643 (2017) - [i43]James Harrison, Animesh Garg, Boris Ivanovic, Yuke Zhu, Silvio Savarese, Li Fei-Fei, Marco Pavone:
ADAPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems. CoRR abs/1707.04674 (2017) - [i42]Albert Haque, Michelle Guo, Alexandre Alahi, Serena Yeung, Zelun Luo, Alisha Rege, Jeffrey Jopling, N. Lance Downing, William Beninati, Amit Singh, Terry Platchek, Arnold Milstein, Li Fei-Fei:
Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance. CoRR abs/1708.00163 (2017) - [i41]Timnit Gebru, Judy Hoffman, Li Fei-Fei:
Fine-grained Recognition in the Wild: A Multi-Task Domain Adaptation Approach. CoRR abs/1709.02476 (2017) - [i40]Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei:
Fine-Grained Car Detection for Visual Census Estimation. CoRR abs/1709.02480 (2017) - [i39]Timnit Gebru, Jonathan Krause, Jia Deng, Li Fei-Fei:
Scalable Annotation of Fine-Grained Categories Without Experts. CoRR abs/1709.02482 (2017) - [i38]Danfei Xu, Suraj Nair, Yuke Zhu, Julian Gao, Animesh Garg, Li Fei-Fei, Silvio Savarese:
Neural Task Programming: Learning to Generalize Across Hierarchical Tasks. CoRR abs/1710.01813 (2017) - [i37]Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei:
Thoracic Disease Identification and Localization with Limited Supervision. CoRR abs/1711.06373 (2017) - [i36]Zelun Luo, Lu Jiang, Jun-Ting Hsieh, Juan Carlos Niebles, Li Fei-Fei:
Graph Distillation for Action Detection with Privileged Information. CoRR abs/1712.00108 (2017) - [i35]Zelun Luo, Yuliang Zou, Judy Hoffman, Li Fei-Fei:
Label Efficient Learning of Transferable Representations across Domains and Tasks. CoRR abs/1712.00123 (2017) - [i34]Chenxi Liu, Barret Zoph, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan L. Yuille, Jonathan Huang, Kevin Murphy:
Progressive Neural Architecture Search. CoRR abs/1712.00559 (2017) - [i33]Lu Jiang, Zhengyuan Zhou, Thomas Leung, Li-Jia Li, Li Fei-Fei:
MentorNet: Regularizing Very Deep Neural Networks on Corrupted Labels. CoRR abs/1712.05055 (2017) - 2016
- [i32]Ranjay Krishna, Kenji Hata, Stephanie Chen, Joshua Kravitz, David A. Shamma, Li Fei-Fei, Michael S. Bernstein:
Embracing Error to Enable Rapid Crowdsourcing. CoRR abs/1602.04506 (2016) - [i31]Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li, David A. Shamma, Michael S. Bernstein, Li Fei-Fei:
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations. CoRR abs/1602.07332 (2016) - [i30]Albert Haque, Boya Peng, Zelun Luo, Alexandre Alahi, Serena Yeung, Li Fei-Fei:
Viewpoint Invariant 3D Human Pose Estimation with Recurrent Error Feedback. CoRR abs/1603.07076 (2016) - [i29]Justin Johnson, Alexandre Alahi, Li Fei-Fei:
Perceptual Losses for Real-Time Style Transfer and Super-Resolution. CoRR abs/1603.08155 (2016) - [i28]De-An Huang, Li Fei-Fei, Juan Carlos Niebles:
Connectionist Temporal Modeling for Weakly Supervised Action Labeling. CoRR abs/1607.08584 (2016) - [i27]Cewu Lu, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei:
Visual Relationship Detection with Language Priors. CoRR abs/1608.00187 (2016) - [i26]Kenji Hata, Ranjay Krishna, Li Fei-Fei, Michael S. Bernstein:
A Glimpse Far into the Future: Understanding Long-term Crowd Worker Accuracy. CoRR abs/1609.04855 (2016) - [i25]Yuke Zhu, Roozbeh Mottaghi, Eric Kolve, Joseph J. Lim, Abhinav Gupta, Li Fei-Fei, Ali Farhadi:
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning. CoRR abs/1609.05143 (2016) - [i24]Adriana Kovashka, Olga Russakovsky, Li Fei-Fei, Kristen Grauman:
Crowdsourcing in Computer Vision. CoRR abs/1611.02145 (2016) - [i23]Jonathan Krause, Justin Johnson, Ranjay Krishna, Li Fei-Fei:
A Hierarchical Approach for Generating Descriptive Image Paragraphs. CoRR abs/1611.06607 (2016) - [i22]Albert Haque, Alexandre Alahi, Li Fei-Fei:
Recurrent Attention Models for Depth-Based Person Identification. CoRR abs/1611.07212 (2016) - [i21]Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick:
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning. CoRR abs/1612.06890 (2016) - 2015
- [i20]Vignesh Ramanathan, Kevin D. Tang, Greg Mori, Li Fei-Fei:
Learning Temporal Embeddings for Complex Video Analysis. CoRR abs/1505.00315 (2015) - [i19]Kevin D. Tang, Manohar Paluri, Li Fei-Fei, Rob Fergus, Lubomir D. Bourdev:
Improving Image Classification with Location Context. CoRR abs/1505.03873 (2015) - [i18]Andrej Karpathy, Justin Johnson, Li Fei-Fei:
Visualizing and Understanding Recurrent Networks. CoRR abs/1506.02078 (2015) - [i17]Olga Russakovsky, Amy L. Bearman, Vittorio Ferrari, Li Fei-Fei:
What's the point: Semantic segmentation with point supervision. CoRR abs/1506.02106 (2015) - [i16]Yuke Zhu, Ce Zhang, Christopher Ré, Li Fei-Fei:
Building a Large-scale Multimodal Knowledge Base for Visual Question Answering. CoRR abs/1507.05670 (2015) - [i15]Serena Yeung, Olga Russakovsky, Ning Jin, Mykhaylo Andriluka, Greg Mori, Li Fei-Fei:
Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos. CoRR abs/1507.05738 (2015) - [i14]Kenji Hata, Sherman Leung, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei:
SentenceRacer: A Game with a Purpose for Image Sentence Annotation. CoRR abs/1508.07053 (2015) - [i13]Justin Johnson, Lamberto Ballan, Li Fei-Fei:
Love Thy Neighbors: Image Annotation by Exploiting Image Metadata. CoRR abs/1508.07647 (2015) - [i12]Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander N. Gorban, Kevin Murphy, Li Fei-Fei:
Detecting events and key actors in multi-person videos. CoRR abs/1511.02917 (2015) - [i11]Yuke Zhu, Oliver Groth, Michael S. Bernstein, Li Fei-Fei:
Visual7W: Grounded Question Answering in Images. CoRR abs/1511.03416 (2015) - [i10]Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei:
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition. CoRR abs/1511.06789 (2015) - [i9]Serena Yeung, Olga Russakovsky, Greg Mori, Li Fei-Fei:
End-to-end Learning of Action Detection from Frame Glimpses in Videos. CoRR abs/1511.06984 (2015) - [i8]Justin Johnson, Andrej Karpathy, Li Fei-Fei:
DenseCap: Fully Convolutional Localization Networks for Dense Captioning. CoRR abs/1511.07571 (2015) - 2014
- [i7]Andrej Karpathy, Armand Joulin, Li Fei-Fei:
Deep Fragment Embeddings for Bidirectional Image Sentence Mapping. CoRR abs/1406.5679 (2014) - [i6]Serena Yeung, Alireza Fathi, Li Fei-Fei:
VideoSET: Video Summary Evaluation through Text. CoRR abs/1406.5824 (2014) - [i5]Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael S. Bernstein, Alexander C. Berg, Li Fei-Fei:
ImageNet Large Scale Visual Recognition Challenge. CoRR abs/1409.0575 (2014) - [i4]Michelle R. Greene, Abraham P. Botros, Diane M. Beck, Li Fei-Fei:
Visual Noise from Natural Scene Statistics Reveals Human Scene Category Representations. CoRR abs/1411.5331 (2014) - [i3]Michelle R. Greene, Christopher Baldassano, Andre Esteva, Diane M. Beck, Li Fei-Fei:
Affordances Provide a Fundamental Categorization Principle for Visual Scenes. CoRR abs/1411.5340 (2014) - [i2]Andrej Karpathy, Li Fei-Fei:
Deep Visual-Semantic Alignments for Generating Image Descriptions. CoRR abs/1412.2306 (2014) - 2012
- [i1]Adams Wei Yu, Hao Su, Li Fei-Fei:
Efficient Euclidean Projections onto the Intersection of Norm Balls. CoRR abs/1206.4638 (2012)
Coauthor Index
Ranjay Krishna
aka: Ranjay A. Krishna
aka: Ranjay A. Krishna
Roberto Martin Martin
aka: Roberto Martín-Martín
aka: Roberto Martín-Martín
[j29] [j3] [c222] [c219] [c215] [c203] [c195] [c193] [c192] [c191] [c190] [c187] [c183] [c176] [c174] [c173] [c171] [c161] [c153] [c150] [c147] [c145] [c138] [c129] [c126] [c117] [c99] [c37] [c31] [c27] [c18] [c15] [c13] [c9] [i160] [i140] [i139] [i126] [i107] [i101] [i98] [i92] [i90] [i84] [i78] [i76] [i66] [i63] [i50] [i49] [i36] [i28]
[j27] [j22] [c244] [c235] [c234] [c225] [c211] [c209] [c208] [c207] [c206] [c202] [c200] [c199] [c198] [c197] [c194] [c188] [c186] [c185] [c181] [c180] [c178] [c175] [c171] [c167] [c163] [c162] [c161] [c160] [c157] [c156] [c154] [c140] [c135] [c113] [c111] [c110] [c105] [c71] [c70] [c25] [c22] [c17] [c10] [c3] [p5] [p1] [i167] [i163] [i162] [i133] [i130] [i129] [i122] [i119] [i118] [i117] [i116] [i111] [i110] [i108] [i105] [i104] [i103] [i102] [i99] [i96] [i91] [i90] [i89] [i88] [i86] [i85] [i83] [i82] [i81] [i80] [i70] [i64] [i63] [i61] [i60] [i43] [i38]
[c244] [c242] [c241] [c239] [c238] [c237] [c235] [c234] [c233] [c230] [c229] [c228] [c227] [c226] [c225] [c224] [c223] [c222] [c220] [c215] [c211] [c210] [c209] [c184] [c182] [i167] [i164] [i163] [i162] [i161] [i160] [i159] [i157] [i156] [i155] [i154] [i151] [i150] [i149] [i148] [i147] [i144] [i142] [i140] [i138] [i137] [i133] [i131] [i119] [i117] [i114] [i109] [i87]
Dan Yamins
aka: Daniel L. K. Yamins
aka: Daniel L. K. Yamins
Serena Yeung-Levy
aka: Serena Yeung
aka: Serena Yeung
[j27] [j22] [j18] [c243] [c236] [c206] [c202] [c201] [c200] [c199] [c194] [c190] [c186] [c185] [c184] [c180] [c175] [c171] [c167] [c163] [c162] [c161] [c160] [c157] [c156] [c140] [c135] [c124] [c122] [c118] [c112] [c111] [c110] [c100] [c74] [i166] [i135] [i123] [i122] [i118] [i108] [i105] [i103] [i102] [i99] [i91] [i90] [i89] [i88] [i87] [i86] [i85] [i83] [i82] [i81] [i80] [i64] [i63] [i61] [i60] [i52] [i46] [i43] [i38] [i31] [i25] [i16] [i11]
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