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2020 – today
- 2024
[j19]Kaiyang Zhou, Ziwei Liu, Xiaohua Zhai, Chunyuan Li, Kate Saenko:
Guest Editorial: Special Issue on the Promises and Dangers of Large Vision Models. Int. J. Comput. Vis. 132(4): 1009-1011 (2024)- [j18]Ping Hu
, Simon Niklaus, Lu Zhang, Stan Sclaroff, Kate Saenko:
Video Frame Interpolation With Many-to-Many Splatting and Spatial Selective Refinement. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 823-836 (2024) - [j17]Ping Hu, Ximeng Sun, Stan Sclaroff, Kate Saenko:
DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition With Limited Annotations. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3450-3462 (2024) - [c173]Andrea Burns, Kate Saenko, Bryan A. Plummer:
Tell Me What's Next: Textual Foresight for Generic UI Representations. ACL (Findings) 2024: 4590-4611 - [c172]Reuben Tan, Ximeng Sun, Ping Hu, Jui-Hsien Wang, Hanieh Deilamsalehy, Bryan A. Plummer, Bryan Russell, Kate Saenko:
Koala: Key Frame-Conditioned Long Video-LLM. CVPR 2024: 13581-13591 - [c171]Maan Qraitem, Kate Saenko, Bryan A. Plummer:
From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognition. ECCV (58) 2024: 230-246 - [c170]Vitali Petsiuk, Kate Saenko:
Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models. ECCV (88) 2024: 309-325 - [c169]Ximeng Sun, Rameswar Panda, Chun-Fu Richard Chen, Naigang Wang, Bowen Pan, Aude Oliva, Rogério Feris, Kate Saenko:
Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths. WACV 2024: 946-956 - [c168]Piotr Teterwak, Soren Nelson, Nikoli Dryden, Dina Bashkirova, Kate Saenko, Bryan A. Plummer:
Learning to Compose SuperWeights for Neural Parameter Allocation Search. WACV 2024: 2739-2748 - [i165]Samarth Mishra, Kate Saenko, Venkatesh Saligrama:
SynCDR : Training Cross Domain Retrieval Models with Synthetic Data. CoRR abs/2401.00420 (2024) - [i164]Maan Qraitem, Nazia Tasnim, Piotr Teterwak, Kate Saenko, Bryan A. Plummer:
Vision-LLMs Can Fool Themselves with Self-Generated Typographic Attacks. CoRR abs/2402.00626 (2024) - [i163]Reuben Tan, Ximeng Sun, Ping Hu, Jui-Hsien Wang, Hanieh Deilamsalehy, Bryan A. Plummer, Bryan Russell, Kate Saenko:
Koala: Key frame-conditioned long video-LLM. CoRR abs/2404.04346 (2024) - [i162]Vitali Petsiuk, Kate Saenko:
Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models. CoRR abs/2404.13706 (2024) - [i161]Florian Bordes, Richard Yuanzhe Pang, Anurag Ajay, Alexander C. Li, Adrien Bardes, Suzanne Petryk, Oscar Mañas, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Xiaoqing Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari Hemmat, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra:
An Introduction to Vision-Language Modeling. CoRR abs/2405.17247 (2024) - [i160]Maan Qraitem, Piotr Teterwak, Kate Saenko, Bryan A. Plummer:
SLANT: Spurious Logo ANalysis Toolkit. CoRR abs/2406.01449 (2024) - [i159]Andrea Burns, Kate Saenko, Bryan A. Plummer:
Tell Me What's Next: Textual Foresight for Generic UI Representations. CoRR abs/2406.07822 (2024) - [i158]Eunice Yiu, Maan Qraitem, Charlie Wong, Anisa Noor Majhi, Yutong Bai, Shiry Ginosar, Alison Gopnik, Kate Saenko:
KiVA: Kid-inspired Visual Analogies for Testing Large Multimodal Models. CoRR abs/2407.17773 (2024) - 2023
- [c167]Dina Bashkirova, José Lezama, Kihyuk Sohn, Kate Saenko, Irfan Essa:
MaskSketch: Unpaired Structure-guided Masked Image Generation. CVPR 2023: 1879-1889 - [c166]Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister:
Prefix Conditioning Unifies Language and Label Supervision. CVPR 2023: 2861-2870 - [c165]Reuben Tan, Arijit Ray, Andrea Burns, Bryan A. Plummer, Justin Salamon, Oriol Nieto, Bryan Russell, Kate Saenko:
Language-Guided Audio-Visual Source Separation via Trimodal Consistency. CVPR 2023: 10575-10584 - [c164]Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister:
Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval. CVPR 2023: 19305-19314 - [c163]Maan Qraitem, Kate Saenko, Bryan A. Plummer:
Bias Mimicking: A Simple Sampling Approach for Bias Mitigation. CVPR 2023: 20311-20320 - [c162]Andrea Burns, Krishna Srinivasan, Joshua Ainslie, Geoff Brown, Bryan A. Plummer, Kate Saenko, Jianmo Ni, Mandy Guo:
A Suite of Generative Tasks for Multi-Level Multimodal Webpage Understanding. EMNLP 2023: 1917-1947 - [c161]Ximeng Sun, Pengchuan Zhang, Peizhao Zhang, Hardik Shah, Kate Saenko, Xide Xia:
DIME-FM : DIstilling Multimodal and Efficient Foundation Models. ICCV 2023: 15475-15487 - [c160]Arijit Ray, Filip Radenovic, Abhimanyu Dubey, Bryan A. Plummer, Ranjay Krishna, Kate Saenko:
Cola: A Benchmark for Compositional Text-to-image Retrieval. NeurIPS 2023 - [c159]Ben Usman, Dina Bashkirova, Kate Saenko:
RIFT: Disentangled Unsupervised Image Translation via Restricted Information Flow. WACV 2023: 2419-2428 - [c158]Aadarsh Sahoo, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das:
Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation. WACV 2023: 4199-4208 - [e2]Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine:
Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023 [contents] - [i157]Bassel El Mabsout, Shahin Roozkhosh, Siddharth Mysore, Kate Saenko, Renato Mancuso:
The SwaNNFlight System: On-the-Fly Sim-to-Real Adaptation via Anchored Learning. CoRR abs/2301.06987 (2023) - [i156]Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister:
Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval. CoRR abs/2302.03084 (2023) - [i155]Dina Bashkirova, José Lezama, Kihyuk Sohn, Kate Saenko, Irfan Essa:
MaskSketch: Unpaired Structure-guided Masked Image Generation. CoRR abs/2302.05496 (2023) - [i154]Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Rogério Feris, Kate Saenko:
Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection. CoRR abs/2303.14744 (2023) - [i153]Dina Bashkirova, Samarth Mishra, Diala Lteif, Piotr Teterwak, Donghyun Kim, Fadi M. Alladkani, James Akl, Berk Çalli, Sarah Adel Bargal, Kate Saenko, Daehan Kim, Minseok Seo, Youngjin Jeon, Dong-Geol Choi, Shahaf Ettedgui, Raja Giryes, Shady Abu-Hussein, Binhui Xie, Shuang Li:
VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting. CoRR abs/2303.14828 (2023) - [i152]Reuben Tan, Arijit Ray, Andrea Burns, Bryan A. Plummer, Justin Salamon, Oriol Nieto, Bryan Russell, Kate Saenko:
Language-Guided Audio-Visual Source Separation via Trimodal Consistency. CoRR abs/2303.16342 (2023) - [i151]Ximeng Sun, Pengchuan Zhang, Peizhao Zhang, Hardik Shah, Kate Saenko, Xide Xia:
DIME-FM: DIstilling Multimodal and Efficient Foundation Models. CoRR abs/2303.18232 (2023) - [i150]Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Kate Saenko, Bryan A. Plummer:
ERM++: An Improved Baseline for Domain Generalization. CoRR abs/2304.01973 (2023) - [i149]Andrea Burns, Krishna Srinivasan, Joshua Ainslie, Geoff Brown, Bryan A. Plummer, Kate Saenko, Jianmo Ni, Mandy Guo:
A Suite of Generative Tasks for Multi-Level Multimodal Webpage Understanding. CoRR abs/2305.03668 (2023) - [i148]Arijit Ray, Filip Radenovic, Abhimanyu Dubey, Bryan A. Plummer, Ranjay Krishna, Kate Saenko:
COLA: How to adapt vision-language models to Compose Objects Localized with Attributes? CoRR abs/2305.03689 (2023) - [i147]Andrea Burns, Krishna Srinivasan, Joshua Ainslie, Geoff Brown, Bryan A. Plummer, Kate Saenko, Jianmo Ni, Mandy Guo:
WikiWeb2M: A Page-Level Multimodal Wikipedia Dataset. CoRR abs/2305.05432 (2023) - [i146]Ariel N. Lee, Sarah Adel Bargal, Janavi Kasera, Stan Sclaroff, Kate Saenko, Nataniel Ruiz:
Hardwiring ViT Patch Selectivity into CNNs using Patch Mixing. CoRR abs/2306.17848 (2023) - [i145]Reuben Tan, Matthias De Lange, Michael L. Iuzzolino, Bryan A. Plummer, Kate Saenko, Karl Ridgeway, Lorenzo Torresani:
Multiscale Video Pretraining for Long-Term Activity Forecasting. CoRR abs/2307.12854 (2023) - [i144]Ping Hu, Ximeng Sun, Stan Sclaroff, Kate Saenko:
DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition with Limited Annotations. CoRR abs/2308.01890 (2023) - [i143]Maan Qraitem, Kate Saenko, Bryan A. Plummer:
From Fake to Real (FFR): A two-stage training pipeline for mitigating spurious correlations with synthetic data. CoRR abs/2308.04553 (2023) - [i142]Ximeng Sun, Kihyuk Sohn, Kate Saenko, Clayton Mellina, Xiao Bian:
Label Budget Allocation in Multi-Task Learning. CoRR abs/2308.12949 (2023) - [i141]Katherine Deng, Arijit Ray, Reuben Tan, Saadia Gabriel, Bryan A. Plummer, Kate Saenko:
Socratis: Are large multimodal models emotionally aware? CoRR abs/2308.16741 (2023) - [i140]Ping Hu, Simon Niklaus, Lu Zhang, Stan Sclaroff, Kate Saenko:
Video Frame Interpolation with Many-to-many Splatting and Spatial Selective Refinement. CoRR abs/2310.18946 (2023) - [i139]Dina Bashkirova, Arijit Ray, Rupayan Mallick, Sarah Adel Bargal, Jianming Zhang, Ranjay Krishna, Kate Saenko:
Lasagna: Layered Score Distillation for Disentangled Object Relighting. CoRR abs/2312.00833 (2023) - [i138]Piotr Teterwak, Soren Nelson, Nikoli Dryden, Dina Bashkirova, Kate Saenko, Bryan A. Plummer:
Learning to Compose SuperWeights for Neural Parameter Allocation Search. CoRR abs/2312.01274 (2023) - [i137]Piotr Teterwak, Ximeng Sun, Bryan A. Plummer, Kate Saenko, Ser-Nam Lim:
CLAMP: Contrastive LAnguage Model Prompt-tuning. CoRR abs/2312.01629 (2023) - 2022
- [j16]Shoumik Sovan Majumdar, Shubhangi Jain, Isidora Chara Tourni, Arsenii Mustafin, Diala Lteif, Stan Sclaroff, Kate Saenko, Sarah Adel Bargal:
Ani-GIFs: A benchmark dataset for domain generalization of action recognition from GIFs. Frontiers Comput. Sci. 4 (2022) - [j15]Bryan A. Plummer, Kevin J. Shih, Yichen Li, Ke Xu, Svetlana Lazebnik, Stan Sclaroff, Kate Saenko:
Revisiting Image-Language Networks for Open-Ended Phrase Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 2155-2167 (2022) - [j14]Ping Hu, Stan Sclaroff, Kate Saenko:
Leveraging Geometric Structure for Label-Efficient Semi-Supervised Scene Segmentation. IEEE Trans. Image Process. 31: 6320-6330 (2022) - [c157]Ping Hu, Simon Niklaus, Stan Sclaroff, Kate Saenko:
Many-to-many Splatting for Efficient Video Frame Interpolation. CVPR 2022: 3543-3552 - [c156]Sivan Harary, Eli Schwartz, Assaf Arbelle, Peter W. J. Staar, Shady Abu-Hussein, Elad Amrani, Roei Herzig, Amit Alfassy, Raja Giryes, Hilde Kuehne, Dina Katabi, Kate Saenko, Rogério Feris, Leonid Karlinsky:
Unsupervised Domain Generalization by Learning a Bridge Across Domains. CVPR 2022: 5270-5280 - [c155]Ben Usman, Andrea Tagliasacchi, Kate Saenko, Avneesh Sud:
MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision. CVPR 2022: 6749-6760 - [c154]Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Richard Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris:
Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data. CVPR 2022: 9184-9194 - [c153]Dina Bashkirova, Mohamed Abdelfattah, Ziliang Zhu, James Akl, Fadi M. Alladkani, Ping Hu, Vitaly Ablavsky, Berk Çalli, Sarah Adel Bargal, Kate Saenko:
ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes. CVPR 2022: 21115-21125 - [c152]Kuniaki Saito, Ping Hu, Trevor Darrell, Kate Saenko:
Learning to Detect Every Thing in an Open World. ECCV (24) 2022: 268-284 - [c151]Andrea Burns, Deniz Arsan, Sanjna Agrawal, Ranjitha Kumar, Kate Saenko, Bryan A. Plummer:
A Dataset for Interactive Vision-Language Navigation with Unknown Command Feasibility. ECCV (8) 2022: 312-328 - [c150]Jack Hessel, Jena D. Hwang, Jae Sung Park, Rowan Zellers, Chandra Bhagavatula, Anna Rohrbach, Kate Saenko, Yejin Choi:
The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning. ECCV (36) 2022: 558-575 - [c149]Donghyun Kim, Kaihong Wang, Kate Saenko, Margrit Betke, Stan Sclaroff:
A Unified Framework for Domain Adaptive Pose Estimation. ECCV (33) 2022: 603-620 - [c148]Donghyun Kim, Kaihong Wang, Stan Sclaroff, Kate Saenko:
A Broad Study of Pre-training for Domain Generalization and Adaptation. ECCV (33) 2022: 621-638 - [c147]Reuben Tan, Bryan A. Plummer, Kate Saenko, J. P. Lewis, Avneesh Sud, Thomas Leung:
NewsStories: Illustrating Articles with Visual Summaries. ECCV (36) 2022: 644-661 - [c146]Siddharth Mysore, George Cheng, Yunqi Zhao, Kate Saenko, Meng Wu:
Multi-Critic Actor Learning: Teaching RL Policies to Act with Style. ICLR 2022 - [c145]Bryan A. Plummer, Nikoli Dryden, Julius Frost, Torsten Hoefler, Kate Saenko:
Neural Parameter Allocation Search. ICLR 2022 - [c144]Shiori Sagawa, Pang Wei Koh, Tony Lee, Irena Gao, Sang Michael Xie, Kendrick Shen, Ananya Kumar, Weihua Hu, Michihiro Yasunaga, Henrik Marklund, Sara Beery, Etienne David, Ian Stavness, Wei Guo, Jure Leskovec, Kate Saenko, Tatsunori Hashimoto, Sergey Levine, Chelsea Finn, Percy Liang:
Extending the WILDS Benchmark for Unsupervised Adaptation. ICLR 2022 - [c143]Amit Alfassy, Assaf Arbelle, Oshri Halimi, Sivan Harary, Roei Herzig, Eli Schwartz, Rameswar Panda, Michele Dolfi, Christoph Auer, Peter W. J. Staar, Kate Saenko, Rogério Feris, Leonid Karlinsky:
FETA: Towards Specializing Foundational Models for Expert Task Applications. NeurIPS 2022 - [c142]Yo-whan Kim, Samarth Mishra, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Kate Saenko, Aude Oliva, Rogério Feris:
How Transferable are Video Representations Based on Synthetic Data? NeurIPS 2022 - [c141]Nataniel Ruiz, Sarah A. Bargal, Cihang Xie, Kate Saenko, Stan Sclaroff:
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing. NeurIPS 2022 - [c140]Ximeng Sun, Ping Hu, Kate Saenko:
DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations. NeurIPS 2022 - [c139]Dina Bashkirova, Ben Usman, Kate Saenko:
Evaluation of Correctness in Unsupervised Many-to-Many Image Translation. WACV 2022: 1-10 - [i136]Julius Frost, Olivia Watkins, Eric Weiner, Pieter Abbeel, Trevor Darrell, Bryan A. Plummer, Kate Saenko:
Explaining Reinforcement Learning Policies through Counterfactual Trajectories. CoRR abs/2201.12462 (2022) - [i135]Andrea Burns, Deniz Arsan, Sanjna Agrawal, Ranjitha Kumar, Kate Saenko, Bryan A. Plummer:
Interactive Mobile App Navigation with Uncertain or Under-specified Natural Language Commands. CoRR abs/2202.02312 (2022) - [i134]Jack Hessel, Jena D. Hwang, Jae Sung Park, Rowan Zellers, Chandra Bhagavatula, Anna Rohrbach, Kate Saenko, Yejin Choi:
The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning. CoRR abs/2202.04800 (2022) - [i133]Donghyun Kim, Kaihong Wang, Stan Sclaroff, Kate Saenko:
A Broad Study of Pre-training for Domain Generalization and Adaptation. CoRR abs/2203.11819 (2022) - [i132]Donghyun Kim, Kaihong Wang, Kate Saenko, Margrit Betke, Stan Sclaroff:
A Unified Framework for Domain Adaptive Pose Estimation. CoRR abs/2204.00172 (2022) - [i131]Ping Hu, Simon Niklaus, Stan Sclaroff, Kate Saenko:
Many-to-many Splatting for Efficient Video Frame Interpolation. CoRR abs/2204.03513 (2022) - [i130]Quanfu Fan, Donghyun Kim, Chun-Fu Chen, Stan Sclaroff, Kate Saenko, Sarah Adel Bargal:
Temporal Relevance Analysis for Video Action Models. CoRR abs/2204.11929 (2022) - [i129]Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister:
Prefix Conditioning Unifies Language and Label Supervision. CoRR abs/2206.01125 (2022) - [i128]Ximeng Sun, Ping Hu, Kate Saenko:
DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations. CoRR abs/2206.09541 (2022) - [i127]Reuben Tan, Bryan A. Plummer, Kate Saenko, J. P. Lewis, Avneesh Sud, Thomas Leung:
NewsStories: Illustrating articles with visual summaries. CoRR abs/2207.13061 (2022) - [i126]Amit Alfassy, Assaf Arbelle, Oshri Halimi, Sivan Harary, Roei Herzig, Eli Schwartz, Rameswar Panda, Michele Dolfi, Christoph Auer, Kate Saenko, Peter W. J. Staar, Rogério Feris, Leonid Karlinsky:
FETA: Towards Specializing Foundation Models for Expert Task Applications. CoRR abs/2209.03648 (2022) - [i125]Maan Qraitem, Kate Saenko, Bryan A. Plummer:
Bias Mimicking: A Simple Sampling Approach for Bias Mitigation. CoRR abs/2209.15605 (2022) - [i124]Vitali Petsiuk, Alexander E. Siemenn, Saisamrit Surbehera, Zad Chin, Keith Tyser, Gregory Hunter, Arvind Raghavan, Yann Hicke, Bryan A. Plummer, Ori Kerret, Tonio Buonassisi, Kate Saenko, Armando Solar-Lezama, Iddo Drori:
Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark. CoRR abs/2211.12112 (2022) - [i123]Kaihong Wang, Donghyun Kim, Rogério Feris, Kate Saenko, Margrit Betke:
Exploring Consistency in Cross-Domain Transformer for Domain Adaptive Semantic Segmentation. CoRR abs/2211.14703 (2022) - [i122]Nataniel Ruiz, Sarah Adel Bargal, Cihang Xie, Kate Saenko, Stan Sclaroff:
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing. CoRR abs/2211.16499 (2022) - 2021
- [j13]Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff:
Guided Zoom: Zooming into Network Evidence to Refine Fine-Grained Model Decisions. IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 4196-4202 (2021) - [j12]Ping Hu, Federico Perazzi, Fabian Caba Heilbron, Oliver Wang, Zhe Lin, Kate Saenko, Stan Sclaroff:
Real-Time Semantic Segmentation With Fast Attention. IEEE Robotics Autom. Lett. 6(1): 263-270 (2021) - [j11]Siddharth Mysore, Bassel Mabsout, Kate Saenko, Renato Mancuso:
How to Train Your Quadrotor: A Framework for Consistently Smooth and Responsive Flight Control via Reinforcement Learning. ACM Trans. Cyber Phys. Syst. 5(4): 36:1-36:24 (2021) - [c138]Samarth Mishra, Kate Saenko, Venkatesh Saligrama:
Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency. BMVC 2021: 177 - [c137]Siddharth Mysore, Bassel El Mabsout, Renato Mancuso, Kate Saenko:
Honey. I Shrunk The Actor: A Case Study on Preserving Performance with Smaller Actors in Actor-Critic RL. CoG 2021: 1-8 - [c136]Andrea Zunino, Sarah Adel Bargal, Riccardo Volpi, Mehrnoosh Sameki, Jianming Zhang, Stan Sclaroff, Vittorio Murino, Kate Saenko:
Explainable Deep Classification Models for Domain Generalization. CVPR Workshops 2021: 3233-3242 - [c135]Spencer Whitehead, Hui Wu, Heng Ji, Rogério Feris, Kate Saenko:
Separating Skills and Concepts for Novel Visual Question Answering. CVPR 2021: 5632-5641 - [c134]Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogério Feris, Raja Giryes, Leonid Karlinsky:
Fine-Grained Angular Contrastive Learning With Coarse Labels. CVPR 2021: 8730-8740 - [c133]Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das:
Semi-Supervised Action Recognition With Temporal Contrastive Learning. CVPR 2021: 10389-10399 - [c132]Vitali Petsiuk, Rajiv Jain, Varun Manjunatha, Vlad I. Morariu, Ashutosh Mehra, Vicente Ordonez, Kate Saenko:
Black-Box Explanation of Object Detectors via Saliency Maps. CVPR 2021: 11443-11452 - [c131]Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky:
Detector-Free Weakly Supervised Grounding by Separation. ICCV 2021: 1781-1792 - [c130]Ximeng Sun, Rameswar Panda, Chun-Fu (Richard) Chen, Aude Oliva, Rogério Feris, Kate Saenko:
Dynamic Network Quantization for Efficient Video Inference. ICCV 2021: 7355-7365 - [c129]Rameswar Panda, Chun-Fu (Richard) Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris:
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. ICCV 2021: 7556-7565 - [c128]Baifeng Shi, Qi Dai, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu:
Temporal Action Detection with Multi-level Supervision. ICCV 2021: 8002-8012 - [c127]Viraj Prabhu, Arjun Chandrasekaran, Kate Saenko, Judy Hoffman:
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings. ICCV 2021: 8485-8494 - [c126]Kuniaki Saito, Kate Saenko:
OVANet: One-vs-All Network for Universal Domain Adaptation. ICCV 2021: 8980-8989 - [c125]Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko:
CDS: Cross-Domain Self-supervised Pre-training. ICCV 2021: 9103-9112 - [c124]Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko:
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density. ICCV 2021: 9164-9173 - [c123]Donghyun Kim, Yi-Hsuan Tsai, Bingbing Zhuang, Xiang Yu, Stan Sclaroff, Kate Saenko, Manmohan Chandraker:
Learning Cross-Modal Contrastive Features for Video Domain Adaptation. ICCV 2021: 13598-13607 - [c122]Donghyun Kim, Kuniaki Saito, Samarth Mishra, Stan Sclaroff, Kate Saenko, Bryan A. Plummer:
Self-supervised Visual Attribute Learning for Fashion Compatibility. ICCVW 2021: 1057-1066 - [c121]Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogério Feris:
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition. ICLR 2021 - [c120]Bowen Pan, Rameswar Panda, Camilo Luciano Fosco, Chung-Ching Lin, Alex J. Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogério Feris:
VA-RED2: Video Adaptive Redundancy Reduction. ICLR 2021 - [c119]Siddharth Mysore, Bassel Mabsout,