Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[i144]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)- 2022
- [j29]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) - [j28]Chen Wang, Danfei Xu, Li Fei-Fei:
Generalizable Task Planning Through Representation Pretraining. IEEE Robotics Autom. Lett. 7(3): 8299-8306 (2022) - [c223]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, 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 - [c222]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 - [c221]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 - [c220]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 - [c219]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 - [c218]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 - [c217]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 - [c216]Agrim Gupta, Linxi Fan, Surya Ganguli, Li Fei-Fei:
MetaMorph: Learning Universal Controllers with Transformers. ICLR 2022 - [c215]Kaiyu Yang, Jacqueline H. Yau, Li Fei-Fei, Jia Deng, Olga Russakovsky:
A Study of Face Obfuscation in ImageNet. ICML 2022: 25313-25330 - [c214]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 - [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
- [j27]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) - [j26]Shyamal Buch, Li Fei-Fei, Noah D. Goodman:
Neural Event Semantics for Grounded Language Understanding. Trans. Assoc. Comput. Linguistics 9: 875-890 (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 - [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 - [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
- [j25]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) - [j24]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) - [j23]Albert Haque, Arnold Milstein, Li Fei-Fei:
Illuminating the dark spaces of healthcare with ambient intelligence. Nat. 585: 193-202 (2020) - [j22]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) - [j21]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) - [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 - [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)
2010 – 2019
- 2019
- [j20]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) - [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]