Kate Saenko - RankMe

381 papers A* 97A 18B 6C 2Misc 2Journal 197Unranked 55

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Breaking the Assistant Mold: Modeling Behavioral Variation in LLM Based Procedural Character Generation. CoRR Maan Qraitem, Kate Saenko, Bryan A. Plummer
2026	J	`jnl`	Generalized prompt-driven zero-shot domain adaptive segmentation with feature rectification and semantic modulation. Comput. Vis. Image Underst. Jinyi Li, Longyu Yang, Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Xiaofeng Zhu, Ping Hu
2025	J	`jnl`	BabyVLM-V2: Toward Developmentally Grounded Pretraining and Benchmarking of Vision Foundation Models. CoRR Shengao Wang, Wenqi Wang, Zecheng Wang, Max Whitton, Michael Wakeham, Arjun Chandra, Joey Huang, Pengyue Zhu, Helen Chen, David Li, Jeffrey Li, Shawn Li, Andrew Zagula, Amy Zhao, Andrew Zhu, Sayaka Nakamura, Yuki Yamamoto, Jerry Jun Yokono, Aaron Mueller, Bryan A. Plummer, Kate Saenko, Venkatesh Saligrama, Boqing Gong
2025	A	`conf`	ERM++: An Improved Baseline for Domain Generalization. WACV Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Kate Saenko, Bryan A. Plummer
2025	J	`jnl`	Enhancing Compositional Reasoning in Vision-Language Models with Synthetic Preference Data. CoRR Samarth Mishra, Kate Saenko, Venkatesh Saligrama
2025	A*	`conf`	Is Large-scale Pretraining the Secret to Good Domain Generalization? ICLR Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Bryan A. Plummer, Kate Saenko
2025	A*	`conf`	KiVA: Kid-inspired Visual Analogies for Testing Large Multimodal Models. ICLR Eunice Yiu, Maan Qraitem, Anisa Noor Majhi, Charlie Wong, Yutong Bai, Shiry Ginosar, Alison Gopnik, Kate Saenko
2025	J	`jnl`	Mull-Tokens: Modality-Agnostic Latent Thinking. CoRR Arijit Ray, Ahmed Abdelkader, Chengzhi Mao, Bryan A. Plummer, Kate Saenko, Ranjay Krishna, Leonidas J. Guibas, Wen-Sheng Chu
2025	J	`jnl`	SAM 3: Segment Anything with Concepts. CoRR Nicolas Carion, Laura Gustafson, Yuan-Ting Hu, Shoubhik Debnath, Ronghang Hu, Didac Suris, Chaitanya Ryali, Kalyan Vasudev Alwala, Haitham Khedr, Andrew Huang, Jie Lei, Tengyu Ma, Baishan Guo, Arpit Kalla, Markus Marks, Joseph Greer, Meng Wang, Peize Sun, Roman Rädle, Triantafyllos Afouras, Effrosyni Mavroudi, Katherine Xu, Tsung-Han Wu, Yu Zhou, Liliane Momeni, Rishi Hazra, Shuangrui Ding, Sagar Vaze, Francois Porcher, Feng Li, Siyuan Li, Aishwarya Kamath, Ho Kei Cheng, Piotr Dollár, Nikhila Ravi, Kate Saenko, Pengchuan Zhang, Christoph Feichtenhofer
2025	—	`conf`	SCRAMBLe: Enhancing Multimodal LLM Compositionality with Synthetic Preference Data. ICCVW Samarth Mishra, Kate Saenko, Venkatesh Saligrama
2025	A*	`conf`	SPARC: Score Prompting and Adaptive Fusion for Zero-Shot Multi-Label Recognition in Vision-Language Models. CVPR Kevin Miller, Aditya Gangrade, Samarth Mishra, Kate Saenko, Venkatesh Saligrama
2025	J	`jnl`	SPARC: Score Prompting and Adaptive Fusion for Zero-Shot Multi-Label Recognition in Vision-Language Models. CoRR Kevin Miller, Samarth Mishra, Aditya Gangrade, Kate Saenko, Venkatesh Saligrama
2025	A*	`conf`	Scaling Up Temporal Domain Generalization via Temporal Experts Averaging. EMNLP Aoming Liu, Kevin Miller, Venkatesh Saligrama, Kate Saenko, Boqing Gong, Ser-Nam Lim, Bryan A. Plummer
2025	J	`jnl`	Scaling Up Temporal Domain Generalization via Temporal Experts Averaging. CoRR Aoming Liu, Kevin Miller, Venkatesh Saligrama, Kate Saenko, Boqing Gong, Ser-Nam Lim, Bryan A. Plummer
2025	J	`jnl`	The SA-FARI Dataset: Segment Anything in Footage of Animals for Recognition and Identification. CoRR Dante Francisco Wasmuht, Otto Brookes, Maximillian Schall, Pablo Palencia, Chris Beirne, Tilo Burghardt, Majid Mirmehdi, Hjalmar S. Kühl, Mimi Arandjelovic, Sam Pottie, Peter Bermant, Brandon Asheim, Yi Jin Toh, Adam Elzinga, Jason Holmberg, Andrew Whitworth, Eleanor Flatt, Laura Gustafson, Chaitanya Ryali, Yuan-Ting Hu, Baishan Guo, Andrew Westbury, Kate Saenko, Didac Suris
2025	J	`jnl`	Web Artifact Attacks Disrupt Vision Language Models. CoRR Maan Qraitem, Piotr Teterwak, Kate Saenko, Bryan A. Plummer
2024	J	`jnl`	An Introduction to Vision-Language Modeling. CoRR 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
2024	—	`conf`	Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models. ECCV (88) Vitali Petsiuk, Kate Saenko
2024	J	`jnl`	Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models. CoRR Vitali Petsiuk, Kate Saenko
2024	J	`jnl`	DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition With Limited Annotations. IEEE Trans. Pattern Anal. Mach. Intell. Ping Hu, Ximeng Sun, Stan Sclaroff, Kate Saenko
2024	—	`conf`	From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognition. ECCV (58) Maan Qraitem, Kate Saenko, Bryan A. Plummer
2024	J	`jnl`	Guest Editorial: Special Issue on the Promises and Dangers of Large Vision Models. Int. J. Comput. Vis. Kaiyang Zhou, Ziwei Liu, Xiaohua Zhai, Chunyuan Li, Kate Saenko
2024	A	`conf`	Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths. WACV Ximeng Sun, Rameswar Panda, Chun-Fu Richard Chen, Naigang Wang, Bowen Pan, Aude Oliva, Rogério Feris, Kate Saenko
2024	J	`jnl`	Is Large-Scale Pretraining the Secret to Good Domain Generalization? CoRR Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Bryan A. Plummer, Kate Saenko
2024	J	`jnl`	KiVA: Kid-inspired Visual Analogies for Testing Large Multimodal Models. CoRR Eunice Yiu, Maan Qraitem, Charlie Wong, Anisa Noor Majhi, Yutong Bai, Shiry Ginosar, Alison Gopnik, Kate Saenko
2024	A*	`conf`	Koala: Key Frame-Conditioned Long Video-LLM. CVPR Reuben Tan, Ximeng Sun, Ping Hu, Jui-Hsien Wang, Hanieh Deilamsalehy, Bryan A. Plummer, Bryan C. Russell, Kate Saenko
2024	J	`jnl`	Koala: Key frame-conditioned long video-LLM. CoRR Reuben Tan, Ximeng Sun, Ping Hu, Jui-Hsien Wang, Hanieh Deilamsalehy, Bryan A. Plummer, Bryan C. Russell, Kate Saenko
2024	A	`conf`	Learning to Compose SuperWeights for Neural Parameter Allocation Search. WACV Piotr Teterwak, Soren Nelson, Nikoli Dryden, Dina Bashkirova, Kate Saenko, Bryan A. Plummer
2024	J	`jnl`	OP-LoRA: The Blessing of Dimensionality. CoRR Piotr Teterwak, Kate Saenko, Bryan A. Plummer, Ser-Nam Lim
2024	J	`jnl`	SAT: Spatial Aptitude Training for Multimodal Language Models. CoRR Arijit Ray, Jiafei Duan, Reuben Tan, Dina Bashkirova, Rose Hendrix, Kiana Ehsani, Aniruddha Kembhavi, Bryan A. Plummer, Ranjay Krishna, Kuo-Hao Zeng, Kate Saenko
2024	J	`jnl`	SLANT: Spurious Logo ANalysis Toolkit. CoRR Maan Qraitem, Piotr Teterwak, Kate Saenko, Bryan A. Plummer
2024	J	`jnl`	SynCDR : Training Cross Domain Retrieval Models with Synthetic Data. CoRR Samarth Mishra, Kate Saenko, Venkatesh Saligrama
2024	—	`conf`	Tell Me What's Next: Textual Foresight for Generic UI Representations. ACL (Findings) Andrea Burns, Kate Saenko, Bryan A. Plummer
2024	J	`jnl`	Tell Me What's Next: Textual Foresight for Generic UI Representations. CoRR Andrea Burns, Kate Saenko, Bryan A. Plummer
2024	J	`jnl`	Video Frame Interpolation With Many-to-Many Splatting and Spatial Selective Refinement. IEEE Trans. Pattern Anal. Mach. Intell. Ping Hu, Simon Niklaus, Lu Zhang, Stan Sclaroff, Kate Saenko
2024	J	`jnl`	Vision-LLMs Can Fool Themselves with Self-Generated Typographic Attacks. CoRR Maan Qraitem, Nazia Tasnim, Piotr Teterwak, Kate Saenko, Bryan A. Plummer
2023	A*	`conf`	A Suite of Generative Tasks for Multi-Level Multimodal Webpage Understanding. EMNLP Andrea Burns, Krishna Srinivasan, Joshua Ainslie, Geoff Brown, Bryan A. Plummer, Kate Saenko, Jianmo Ni, Mandy Guo
2023	J	`jnl`	A Suite of Generative Tasks for Multi-Level Multimodal Webpage Understanding. CoRR Andrea Burns, Krishna Srinivasan, Joshua Ainslie, Geoff Brown, Bryan A. Plummer, Kate Saenko, Jianmo Ni, Mandy Guo
2023	A*	`ed.`	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. NeurIPS Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine
2023	A*	`conf`	Bias Mimicking: A Simple Sampling Approach for Bias Mitigation. CVPR Maan Qraitem, Kate Saenko, Bryan A. Plummer
2023	J	`jnl`	CLAMP: Contrastive LAnguage Model Prompt-tuning. CoRR Piotr Teterwak, Ximeng Sun, Bryan A. Plummer, Kate Saenko, Ser-Nam Lim
2023	J	`jnl`	COLA: How to adapt vision-language models to Compose Objects Localized with Attributes? CoRR Arijit Ray, Filip Radenovic, Abhimanyu Dubey, Bryan A. Plummer, Ranjay Krishna, Kate Saenko
2023	A*	`conf`	Cola: A Benchmark for Compositional Text-to-image Retrieval. NeurIPS Arijit Ray, Filip Radenovic, Abhimanyu Dubey, Bryan A. Plummer, Ranjay Krishna, Kate Saenko
2023	A*	`conf`	DIME-FM : DIstilling Multimodal and Efficient Foundation Models. ICCV Ximeng Sun, Pengchuan Zhang, Peizhao Zhang, Hardik Shah, Kate Saenko, Xide Xia
2023	J	`jnl`	DIME-FM: DIstilling Multimodal and Efficient Foundation Models. CoRR Ximeng Sun, Pengchuan Zhang, Peizhao Zhang, Hardik Shah, Kate Saenko, Xide Xia
2023	J	`jnl`	DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition with Limited Annotations. CoRR Ping Hu, Ximeng Sun, Stan Sclaroff, Kate Saenko
2023	J	`jnl`	ERM++: An Improved Baseline for Domain Generalization. CoRR Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Kate Saenko, Bryan A. Plummer
2023	J	`jnl`	From Fake to Real (FFR): A two-stage training pipeline for mitigating spurious correlations with synthetic data. CoRR Maan Qraitem, Kate Saenko, Bryan A. Plummer
2023	J	`jnl`	Hardwiring ViT Patch Selectivity into CNNs using Patch Mixing. CoRR Ariel N. Lee, Sarah Adel Bargal, Janavi Kasera, Stan Sclaroff, Kate Saenko, Nataniel Ruiz
2023	J	`jnl`	Label Budget Allocation in Multi-Task Learning. CoRR Ximeng Sun, Kihyuk Sohn, Kate Saenko, Clayton Mellina, Xiao Bian
2023	A*	`conf`	Language-Guided Audio-Visual Source Separation via Trimodal Consistency. CVPR Reuben Tan, Arijit Ray, Andrea Burns, Bryan A. Plummer, Justin Salamon, Oriol Nieto, Bryan C. Russell, Kate Saenko
2023	J	`jnl`	Language-Guided Audio-Visual Source Separation via Trimodal Consistency. CoRR Reuben Tan, Arijit Ray, Andrea Burns, Bryan A. Plummer, Justin Salamon, Oriol Nieto, Bryan C. Russell, Kate Saenko
2023	J	`jnl`	Lasagna: Layered Score Distillation for Disentangled Object Relighting. CoRR Dina Bashkirova, Arijit Ray, Rupayan Mallick, Sarah Adel Bargal, Jianming Zhang, Ranjay Krishna, Kate Saenko
2023	J	`jnl`	Learning to Compose SuperWeights for Neural Parameter Allocation Search. CoRR Piotr Teterwak, Soren Nelson, Nikoli Dryden, Dina Bashkirova, Kate Saenko, Bryan A. Plummer
2023	A*	`conf`	MaskSketch: Unpaired Structure-guided Masked Image Generation. CVPR Dina Bashkirova, José Lezama, Kihyuk Sohn, Kate Saenko, Irfan Essa
2023	J	`jnl`	MaskSketch: Unpaired Structure-guided Masked Image Generation. CoRR Dina Bashkirova, José Lezama, Kihyuk Sohn, Kate Saenko, Irfan Essa
2023	J	`jnl`	Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection. CoRR Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Rogério Feris, Kate Saenko
2023	J	`jnl`	Multiscale Video Pretraining for Long-Term Activity Forecasting. CoRR Reuben Tan, Matthias De Lange, Michael L. Iuzzolino, Bryan A. Plummer, Kate Saenko, Karl Ridgeway, Lorenzo Torresani
2023	A*	`conf`	Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval. CVPR Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister
2023	J	`jnl`	Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval. CoRR Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister
2023	A*	`conf`	Prefix Conditioning Unifies Language and Label Supervision. CVPR Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister
2023	A	`conf`	RIFT: Disentangled Unsupervised Image Translation via Restricted Information Flow. WACV Ben Usman, Dina Bashkirova, Kate Saenko
2023	A	`conf`	Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation. WACV Aadarsh Sahoo, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das
2023	J	`jnl`	Socratis: Are large multimodal models emotionally aware? CoRR Katherine Deng, Arijit Ray, Reuben Tan, Saadia Gabriel, Bryan A. Plummer, Kate Saenko
2023	J	`jnl`	The SwaNNFlight System: On-the-Fly Sim-to-Real Adaptation via Anchored Learning. CoRR Bassel El Mabsout, Shahin Roozkhosh, Siddharth Mysore, Kate Saenko, Renato Mancuso
2023	J	`jnl`	Video Frame Interpolation with Many-to-many Splatting and Spatial Selective Refinement. CoRR Ping Hu, Simon Niklaus, Lu Zhang, Stan Sclaroff, Kate Saenko
2023	J	`jnl`	VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting. CoRR 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
2023	J	`jnl`	WikiWeb2M: A Page-Level Multimodal Wikipedia Dataset. CoRR Andrea Burns, Krishna Srinivasan, Joshua Ainslie, Geoff Brown, Bryan A. Plummer, Kate Saenko, Jianmo Ni, Mandy Guo
2022	—	`conf`	A Broad Study of Pre-training for Domain Generalization and Adaptation. ECCV (33) Donghyun Kim, Kaihong Wang, Stan Sclaroff, Kate Saenko
2022	J	`jnl`	A Broad Study of Pre-training for Domain Generalization and Adaptation. CoRR Donghyun Kim, Kaihong Wang, Stan Sclaroff, Kate Saenko
2022	—	`conf`	A Dataset for Interactive Vision-Language Navigation with Unknown Command Feasibility. ECCV (8) Andrea Burns, Deniz Arsan, Sanjna Agrawal, Ranjitha Kumar, Kate Saenko, Bryan A. Plummer
2022	—	`conf`	A Unified Framework for Domain Adaptive Pose Estimation. ECCV (33) Donghyun Kim, Kaihong Wang, Kate Saenko, Margrit Betke, Stan Sclaroff
2022	J	`jnl`	A Unified Framework for Domain Adaptive Pose Estimation. CoRR Donghyun Kim, Kaihong Wang, Kate Saenko, Margrit Betke, Stan Sclaroff
2022	J	`jnl`	Ani-GIFs: A benchmark dataset for domain generalization of action recognition from GIFs. Frontiers Comput. Sci. Shoumik Sovan Majumdar, Shubhangi Jain, Isidora Chara Tourni, Arsenii Mustafin, Diala Lteif, Stan Sclaroff, Kate Saenko, Sarah Adel Bargal
2022	J	`jnl`	Bias Mimicking: A Simple Sampling Approach for Bias Mitigation. CoRR Maan Qraitem, Kate Saenko, Bryan A. Plummer
2022	A*	`conf`	DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations. NeurIPS Ximeng Sun, Ping Hu, Kate Saenko
2022	J	`jnl`	DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations. CoRR Ximeng Sun, Ping Hu, Kate Saenko
2022	A	`conf`	Evaluation of Correctness in Unsupervised Many-to-Many Image Translation. WACV Dina Bashkirova, Ben Usman, Kate Saenko
2022	J	`jnl`	Explaining Reinforcement Learning Policies through Counterfactual Trajectories. CoRR Julius Frost, Olivia Watkins, Eric Weiner, Pieter Abbeel, Trevor Darrell, Bryan A. Plummer, Kate Saenko
2022	J	`jnl`	Exploring Consistency in Cross-Domain Transformer for Domain Adaptive Semantic Segmentation. CoRR Kaihong Wang, Donghyun Kim, Rogério Feris, Kate Saenko, Margrit Betke
2022	A*	`conf`	Extending the WILDS Benchmark for Unsupervised Adaptation. ICLR 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
2022	J	`jnl`	FETA: Towards Specializing Foundation Models for Expert Task Applications. CoRR 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
2022	A*	`conf`	FETA: Towards Specializing Foundational Models for Expert Task Applications. NeurIPS 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
2022	A*	`conf`	Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing. NeurIPS Nataniel Ruiz, Sarah A. Bargal, Cihang Xie, Kate Saenko, Stan Sclaroff
2022	J	`jnl`	Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing. CoRR Nataniel Ruiz, Sarah Adel Bargal, Cihang Xie, Kate Saenko, Stan Sclaroff
2022	A*	`conf`	How Transferable are Video Representations Based on Synthetic Data? NeurIPS Yo-whan Kim, Samarth Mishra, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Kate Saenko, Aude Oliva, Rogério Feris
2022	J	`jnl`	Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark. CoRR 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
2022	J	`jnl`	Interactive Mobile App Navigation with Uncertain or Under-specified Natural Language Commands. CoRR Andrea Burns, Deniz Arsan, Sanjna Agrawal, Ranjitha Kumar, Kate Saenko, Bryan A. Plummer
2022	—	`conf`	Learning to Detect Every Thing in an Open World. ECCV (24) Kuniaki Saito, Ping Hu, Trevor Darrell, Kate Saenko
2022	J	`jnl`	Leveraging Geometric Structure for Label-Efficient Semi-Supervised Scene Segmentation. IEEE Trans. Image Process. Ping Hu, Stan Sclaroff, Kate Saenko
2022	A*	`conf`	Many-to-many Splatting for Efficient Video Frame Interpolation. CVPR Ping Hu, Simon Niklaus, Stan Sclaroff, Kate Saenko
2022	J	`jnl`	Many-to-many Splatting for Efficient Video Frame Interpolation. CoRR Ping Hu, Simon Niklaus, Stan Sclaroff, Kate Saenko
2022	A*	`conf`	MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision. CVPR Ben Usman, Andrea Tagliasacchi, Kate Saenko, Avneesh Sud
2022	A*	`conf`	Multi-Critic Actor Learning: Teaching RL Policies to Act with Style. ICLR Siddharth Mysore, George Cheng, Yunqi Zhao, Kate Saenko, Meng Wu
2022	A*	`conf`	Neural Parameter Allocation Search. ICLR Bryan A. Plummer, Nikoli Dryden, Julius Frost, Torsten Hoefler, Kate Saenko
2022	—	`conf`	NewsStories: Illustrating Articles with Visual Summaries. ECCV (36) Reuben Tan, Bryan A. Plummer, Kate Saenko, J. P. Lewis, Avneesh Sud, Thomas Leung
2022	J	`jnl`	NewsStories: Illustrating articles with visual summaries. CoRR Reuben Tan, Bryan A. Plummer, Kate Saenko, J. P. Lewis, Avneesh Sud, Thomas Leung
2022	J	`jnl`	Prefix Conditioning Unifies Language and Label Supervision. CoRR Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister
2022	J	`jnl`	Revisiting Image-Language Networks for Open-Ended Phrase Detection. IEEE Trans. Pattern Anal. Mach. Intell. Bryan A. Plummer, Kevin J. Shih, Yichen Li, Ke Xu, Svetlana Lazebnik, Stan Sclaroff, Kate Saenko
2022	A*	`conf`	Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data. CVPR Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Richard Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris
2022	J	`jnl`	Temporal Relevance Analysis for Video Action Models. CoRR Quanfu Fan, Donghyun Kim, Chun-Fu Chen, Stan Sclaroff, Kate Saenko, Sarah Adel Bargal
2022	—	`conf`	The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning. ECCV (36) Jack Hessel, Jena D. Hwang, Jae Sung Park, Rowan Zellers, Chandra Bhagavatula, Anna Rohrbach, Kate Saenko, Yejin Choi
2022	J	`jnl`	The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning. CoRR Jack Hessel, Jena D. Hwang, Jae Sung Park, Rowan Zellers, Chandra Bhagavatula, Anna Rohrbach, Kate Saenko, Yejin Choi
2022	A*	`conf`	Unsupervised Domain Generalization by Learning a Bridge Across Domains. CVPR 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
2022	A*	`conf`	ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes. CVPR Dina Bashkirova, Mohamed Abdelfattah, Ziliang Zhu, James Akl, Fadi M. Alladkani, Ping Hu, Vitaly Ablavsky, Berk Çalli, Sarah Adel Bargal, Kate Saenko
2021	A*	`conf`	Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings. ICCV Viraj Prabhu, Arjun Chandrasekaran, Kate Saenko, Judy Hoffman
2021	A*	`conf`	AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition. ICLR Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogério Feris
2021	J	`jnl`	AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition. CoRR Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogério Feris
2021	A*	`conf`	AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. ICCV Rameswar Panda, Chun-Fu (Richard) Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris
2021	J	`jnl`	AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. CoRR Rameswar Panda, Chun-Fu Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris
2021	J	`jnl`	All at Once Network Quantization via Collaborative Knowledge Transfer. CoRR Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Naigang Wang, Bowen Pan, Kailash Gopalakrishnan, Aude Oliva, Rogério Feris, Kate Saenko
2021	A*	`conf`	Black-Box Explanation of Object Detectors via Saliency Maps. CVPR Vitali Petsiuk, Rajiv Jain, Varun Manjunatha, Vlad I. Morariu, Ashutosh Mehra, Vicente Ordonez, Kate Saenko
2021	A*	`conf`	CDS: Cross-Domain Self-supervised Pre-training. ICCV Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko
2021	A*	`conf`	Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing. NeurIPS Aadarsh Sahoo, Rutav Shah, Rameswar Panda, Kate Saenko, Abir Das
2021	J	`jnl`	Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing. CoRR Aadarsh Sahoo, Rutav Shah, Rameswar Panda, Kate Saenko, Abir Das
2021	A*	`conf`	Detector-Free Weakly Supervised Grounding by Separation. ICCV 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
2021	J	`jnl`	Detector-Free Weakly Supervised Grounding by Separation. CoRR 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
2021	J	`jnl`	Disentangled Unsupervised Image Translation via Restricted Information Flow. CoRR Ben Usman, Dina Bashkirova, Kate Saenko
2021	A*	`conf`	Dynamic Network Quantization for Efficient Video Inference. ICCV Ximeng Sun, Rameswar Panda, Chun-Fu (Richard) Chen, Aude Oliva, Rogério Feris, Kate Saenko
2021	J	`jnl`	Dynamic Network Quantization for Efficient Video Inference. CoRR Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Aude Oliva, Rogério Feris, Kate Saenko
2021	J	`jnl`	Evaluation of Correctness in Unsupervised Many-to-Many Image Translation. CoRR Dina Bashkirova, Ben Usman, Kate Saenko
2021	—	`conf`	Explainable Deep Classification Models for Domain Generalization. CVPR Workshops Andrea Zunino, Sarah Adel Bargal, Riccardo Volpi, Mehrnoosh Sameki, Jianming Zhang, Stan Sclaroff, Vittorio Murino, Kate Saenko
2021	J	`jnl`	Extending the WILDS Benchmark for Unsupervised Adaptation. CoRR 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
2021	A*	`conf`	Fine-Grained Angular Contrastive Learning With Coarse Labels. CVPR Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogério Feris, Raja Giryes, Leonid Karlinsky
2021	J	`jnl`	Good Actors can come in Smaller Sizes: A Case Study on the Value of Actor-Critic Asymmetry. CoRR Siddharth Mysore, Bassel Mabsout, Renato Mancuso, Kate Saenko
2021	J	`jnl`	Guided Zoom: Zooming into Network Evidence to Refine Fine-Grained Model Decisions. IEEE Trans. Pattern Anal. Mach. Intell. Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff
2021	C	`conf`	Honey. I Shrunk The Actor: A Case Study on Preserving Performance with Smaller Actors in Actor-Critic RL. CoG Siddharth Mysore, Bassel El Mabsout, Renato Mancuso, Kate Saenko
2021	J	`jnl`	How to Train Your Quadrotor: A Framework for Consistently Smooth and Responsive Flight Control via Reinforcement Learning. ACM Trans. Cyber Phys. Syst. Siddharth Mysore, Bassel Mabsout, Kate Saenko, Renato Mancuso
2021	A*	`conf`	Learning Cross-Modal Contrastive Features for Video Domain Adaptation. ICCV Donghyun Kim, Yi-Hsuan Tsai, Bingbing Zhuang, Xiang Yu, Stan Sclaroff, Kate Saenko, Manmohan Chandraker
2021	J	`jnl`	Learning Cross-modal Contrastive Features for Video Domain Adaptation. CoRR Donghyun Kim, Yi-Hsuan Tsai, Bingbing Zhuang, Xiang Yu, Stan Sclaroff, Kate Saenko, Manmohan Chandraker
2021	J	`jnl`	Learning to Detect Every Thing in an Open World. CoRR Kuniaki Saito, Ping Hu, Trevor Darrell, Kate Saenko
2021	A	`conf`	LoGAN: Latent Graph Co-Attention Network for Weakly-Supervised Video Moment Retrieval. WACV Reuben Tan, Huijuan Xu, Kate Saenko, Bryan A. Plummer
2021	A*	`conf`	Look at What I'm Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos. NeurIPS Reuben Tan, Bryan A. Plummer, Kate Saenko, Hailin Jin, Bryan C. Russell
2021	J	`jnl`	Look at What I'm Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos. CoRR Reuben Tan, Bryan A. Plummer, Kate Saenko, Hailin Jin, Bryan C. Russell
2021	J	`jnl`	MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision. CoRR Ben Usman, Andrea Tagliasacchi, Kate Saenko, Avneesh Sud
2021	J	`jnl`	Mobile App Tasks with Iterative Feedback (MoTIF): Addressing Task Feasibility in Interactive Visual Environments. CoRR Andrea Burns, Deniz Arsan, Sanjna Agrawal, Ranjitha Kumar, Kate Saenko, Bryan A. Plummer
2021	A*	`conf`	OVANet: One-vs-All Network for Universal Domain Adaptation. ICCV Kuniaki Saito, Kate Saenko
2021	J	`jnl`	OVANet: One-vs-All Network for Universal Domain Adaptation. CoRR Kuniaki Saito, Kate Saenko
2021	A*	`conf`	OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency Regularization. NeurIPS Kuniaki Saito, Donghyun Kim, Kate Saenko
2021	J	`jnl`	OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers. CoRR Kuniaki Saito, Donghyun Kim, Kate Saenko
2021	J	`jnl`	Real-Time Semantic Segmentation With Fast Attention. IEEE Robotics Autom. Lett. Ping Hu, Federico Perazzi, Fabian Caba Heilbron, Oliver Wang, Zhe Lin, Kate Saenko, Stan Sclaroff
2021	A*	`conf`	Regularizing Action Policies for Smooth Control with Reinforcement Learning. ICRA Siddharth Mysore, Bassel Mabsout, Renato Mancuso, Kate Saenko
2021	—	`conf`	Self-supervised Visual Attribute Learning for Fashion Compatibility. ICCVW Donghyun Kim, Kuniaki Saito, Samarth Mishra, Stan Sclaroff, Kate Saenko, Bryan A. Plummer
2021	A*	`conf`	Semi-Supervised Action Recognition With Temporal Contrastive Learning. CVPR Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das
2021	J	`jnl`	Semi-Supervised Action Recognition with Temporal Contrastive Learning. CoRR Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das
2021	A*	`conf`	Separating Skills and Concepts for Novel Visual Question Answering. CVPR Spencer Whitehead, Hui Wu, Heng Ji, Rogério Feris, Kate Saenko
2021	J	`jnl`	Separating Skills and Concepts for Novel Visual Question Answering. CoRR Spencer Whitehead, Hui Wu, Heng Ji, Rogério Feris, Kate Saenko
2021	A	`conf`	Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency. BMVC Samarth Mishra, Kate Saenko, Venkatesh Saligrama
2021	J	`jnl`	Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency. CoRR Samarth Mishra, Kate Saenko, Venkatesh Saligrama
2021	J	`jnl`	Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data. CoRR Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris
2021	A*	`conf`	Temporal Action Detection with Multi-level Supervision. ICCV Baifeng Shi, Qi Dai, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu
2021	A*	`conf`	Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density. ICCV Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko
2021	J	`jnl`	Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density. CoRR Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko
2021	J	`jnl`	Unsupervised Domain Generalization by Learning a Bridge Across Domains. CoRR 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
2021	J	`jnl`	VA-RED CoRR Bowen Pan, Rameswar Panda, Camilo Fosco, Chung-Ching Lin, Alex Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogério Feris
2021	A*	`conf`	VA-RED2: Video Adaptive Redundancy Reduction. ICLR Bowen Pan, Rameswar Panda, Camilo Luciano Fosco, Chung-Ching Lin, Alex J. Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogério Feris
2021	—	`conf`	VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting. NeurIPS (Competition and Demos) 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
2021	J	`jnl`	VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data. CoRR Dina Bashkirova, Dan Hendrycks, Donghyun Kim, Samarth Mishra, Kate Saenko, Kuniaki Saito, Piotr Teterwak, Ben Usman
2021	—	`conf`	VisDA-2021 Competition: Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data. NeurIPS (Competition and Demos) Dina Bashkirova, Dan Hendrycks, Donghyun Kim, Haojin Liao, Samarth Mishra, Chandramouli Rajagopalan, Kate Saenko, Kuniaki Saito, Burhan Ul Tayyab, Piotr Teterwak, Ben Usman
2021	Misc	`conf`	Weakly Supervised Domain Adaptation using Super-pixel labeling for Semantic Segmentation. MVA Masaki Yamazaki, Xingchao Peng, Kuniaki Saito, Ping Hu, Kate Saenko, Yasuhiro Taniguchi
2021	J	`jnl`	ZeroWaste Dataset: Towards Automated Waste Recycling. CoRR Dina Bashkirova, Ziliang Zhu, James Akl, Fadi M. Alladkani, Ping Hu, Vitaly Ablavsky, Berk Çalli, Sarah Adel Bargal, Kate Saenko
2020	—	`conf`	A Broader Study of Cross-Domain Few-Shot Learning. ECCV (27) Yunhui Guo, Noel Codella, Leonid Karlinsky, James V. Codella, John R. Smith, Kate Saenko, Tajana Rosing, Rogério Feris
2020	—	`conf`	AR-Net: Adaptive Frame Resolution for Efficient Action Recognition. ECCV (7) Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogério Feris
2020	J	`jnl`	AR-Net: Adaptive Frame Resolution for Efficient Action Recognition. CoRR Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogério Feris
2020	J	`jnl`	Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings. CoRR Viraj Prabhu, Arjun Chandrasekaran, Kate Saenko, Judy Hoffman
2020	A*	`conf`	AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning. NeurIPS Ximeng Sun, Rameswar Panda, Rogério Feris, Kate Saenko
2020	A*	`conf`	Auxiliary Task Reweighting for Minimum-data Learning. NeurIPS Baifeng Shi, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu
2020	J	`jnl`	Auxiliary Task Reweighting for Minimum-data Learning. CoRR Baifeng Shi, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu
2020	—	`conf`	Beyond the Visual Analysis of Deep Model Saliency. xxAI@ICML Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Vittorio Murino, Stan Sclaroff, Kate Saenko
2020	J	`jnl`	Black-box Explanation of Object Detectors via Saliency Maps. CoRR Vitali Petsiuk, Rajiv Jain, Varun Manjunatha, Vlad I. Morariu, Ashutosh Mehra, Vicente Ordonez, Kate Saenko
2020	—	`conf`	COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder. ECCV (3) Kuniaki Saito, Kate Saenko, Ming-Yu Liu
2020	J	`jnl`	COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder. CoRR Kuniaki Saito, Kate Saenko, Ming-Yu Liu
2020	—	`conf`	Class-Imbalanced Domain Adaptation: An Empirical Odyssey. ECCV Workshops (1) Shuhan Tan, Xingchao Peng, Kate Saenko
2020	J	`jnl`	Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels. CoRR Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko
2020	A	`conf`	DIPNet: Dynamic Identity Propagation Network for Video Object Segmentation. WACV Ping Hu, Jun Liu, Gang Wang, Vitaly Ablavsky, Kate Saenko, Stan Sclaroff
2020	—	`conf`	Detecting Cross-Modal Inconsistency to Defend Against Neural Fake News. EMNLP (1) Reuben Tan, Bryan A. Plummer, Kate Saenko
2020	J	`jnl`	Detecting Cross-Modal Inconsistency to Defend Against Neural Fake News. CoRR Reuben Tan, Bryan A. Plummer, Kate Saenko
2020	—	`conf`	Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation. ECCV (6) Xingchao Peng, Yichen Li, Kate Saenko
2020	J	`jnl`	Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation. CoRR Xingchao Peng, Yichen Li, Kate Saenko
2020	J	`jnl`	Explainable Deep Classification Models for Domain Generalization. CoRR Andrea Zunino, Sarah Adel Bargal, Riccardo Volpi, Mehrnoosh Sameki, Jianming Zhang, Stan Sclaroff, Vittorio Murino, Kate Saenko
2020	A*	`conf`	Federated Adversarial Domain Adaptation. ICLR Xingchao Peng, Zijun Huang, Yizhe Zhu, Kate Saenko
2020	J	`jnl`	Fine-grained Angular Contrastive Learning with Coarse Labels. CoRR Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogério Feris, Raja Giryes, Leonid Karlinsky
2020	J	`jnl`	How to Train your Quadrotor: A Framework for Consistently Smooth and Responsive Flight Control via Reinforcement Learning. CoRR Siddharth Mysore, Bassel Mabsout, Kate Saenko, Renato Mancuso
2020	—	`conf`	Learning Visual Servo Policies via Planner Cloning. ISER Ulrich Viereck, Kate Saenko, Robert Platt Jr.
2020	J	`jnl`	Learning from Lexical Perturbations for Consistent Visual Question Answering. CoRR Spencer Whitehead, Hui Wu, Yi Ren Fung, Heng Ji, Rogério Schmidt Feris, Kate Saenko
2020	—	`conf`	Learning to Scale Multilingual Representations for Vision-Language Tasks. ECCV (4) Andrea Burns, Donghyun Kim, Derry Wijaya, Kate Saenko, Bryan A. Plummer
2020	J	`jnl`	Learning to Scale Multilingual Representations for Vision-Language Tasks. CoRR Andrea Burns, Donghyun Kim, Derry Wijaya, Kate Saenko, Bryan A. Plummer
2020	J	`jnl`	Learning visual servo policies via planner cloning. CoRR Ulrich Viereck, Kate Saenko, Robert Platt Jr.
2020	A*	`conf`	Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment. NeurIPS Ben Usman, Avneesh Sud, Nick Dufour, Kate Saenko
2020	J	`jnl`	Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment. CoRR Ben Usman, Nick Dufour, Avneesh Sud, Kate Saenko
2020	A*	`conf`	MULE: Multimodal Universal Language Embedding. AAAI Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer
2020	J	`jnl`	Real-time Semantic Segmentation with Fast Attention. CoRR Ping Hu, Federico Perazzi, Fabian Caba Heilbron, Oliver Wang, Zhe Lin, Kate Saenko, Stan Sclaroff
2020	J	`jnl`	Regularizing Action Policies for Smooth Control with Reinforcement Learning. CoRR Siddharth Mysore, Bassel Mabsout, Renato Mancuso, Kate Saenko
2020	J	`jnl`	Revisiting Few-shot Activity Detection with Class Similarity Control. CoRR Huijuan Xu, Ximeng Sun, Eric Tzeng, Abir Das, Kate Saenko, Trevor Darrell
2020	J	`jnl`	Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation. CoRR Aadarsh Sahoo, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das
2020	J	`jnl`	Self-supervised Visual Attribute Learning for Fashion Compatibility. CoRR Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer
2020	J	`jnl`	Shapeshifter Networks: Cross-layer Parameter Sharing for Scalable and Effective Deep Learning. CoRR Bryan A. Plummer, Nikoli Dryden, Julius Frost, Torsten Hoefler, Kate Saenko
2020	J	`jnl`	Spatio-Temporal Action Detection with Multi-Object Interaction. CoRR Huijuan Xu, Lizhi Yang, Stan Sclaroff, Kate Saenko, Trevor Darrell
2020	J	`jnl`	Temporal Action Detection with Multi-level Supervision. CoRR Baifeng Shi, Qi Dai, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu
2020	A	`conf`	TwoStreamVAN: Improving Motion Modeling in Video Generation. WACV Ximeng Sun, Huijuan Xu, Kate Saenko
2020	A*	`conf`	Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation. NeurIPS Ping Hu, Stan Sclaroff, Kate Saenko
2020	A*	`conf`	Universal Domain Adaptation through Self Supervision. NeurIPS Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Kate Saenko
2020	J	`jnl`	Universal Domain Adaptation through Self Supervision. CoRR Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Kate Saenko
2020	—	`conf`	Why Do These Match? Explaining the Behavior of Image Similarity Models. ECCV (11) Bryan A. Plummer, Mariya I. Vasileva, Vitali Petsiuk, Kate Saenko, David A. Forsyth
2019	A*	`conf`	Adversarial Self-Defense for Cycle-Consistent GANs. NeurIPS Dina Bashkirova, Ben Usman, Kate Saenko
2019	J	`jnl`	Adversarial Self-Defense for Cycle-Consistent GANs. CoRR Dina Bashkirova, Ben Usman, Kate Saenko
2019	—	`conf`	Are CNN Predictions based on Reasonable Evidence? CVPR Workshops Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff
2019	—	`conf`	Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation. ACL (1) Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko
2019	J	`jnl`	Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation. CoRR Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko
2019	A*	`conf`	Domain Agnostic Learning with Disentangled Representations. ICML Xingchao Peng, Zijun Huang, Ximeng Sun, Kate Saenko
2019	J	`jnl`	Domain Agnostic Learning with Disentangled Representations. CoRR Xingchao Peng, Zijun Huang, Ximeng Sun, Kate Saenko
2019	J	`jnl`	Federated Adversarial Domain Adaptation. CoRR Xingchao Peng, Zijun Huang, Yizhe Zhu, Kate Saenko
2019	J	`jnl`	Generalized Domain Adaptation with Covariate and Label Shift CO-ALignment. CoRR Shuhan Tan, Xingchao Peng, Kate Saenko
2019	A	`conf`	Guided Zoom: Questioning Network Evidence for Fine-grained Classification. BMVC Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff
2019	A	`conf`	Joint Event Detection and Description in Continuous Video Streams. WACV Huijuan Xu, Boyang Li, Vasili Ramanishka, Leonid Sigal, Kate Saenko
2019	—	`conf`	Joint Event Detection and Description in Continuous Video Streams. WACV Workshops Huijuan Xu, Boyang Li, Vasili Ramanishka, Leonid Sigal, Kate Saenko
2019	A*	`conf`	Language Features Matter: Effective Language Representations for Vision-Language Tasks. ICCV Andrea Burns, Reuben Tan, Kate Saenko, Stan Sclaroff, Bryan A. Plummer
2019	J	`jnl`	Language Features Matter: Effective Language Representations for Vision-Language Tasks. CoRR Andrea Burns, Reuben Tan, Kate Saenko, Stan Sclaroff, Bryan A. Plummer
2019	A*	`conf`	Language-Conditioned Graph Networks for Relational Reasoning. ICCV Ronghang Hu, Anna Rohrbach, Trevor Darrell, Kate Saenko
2019	J	`jnl`	Language-Conditioned Graph Networks for Relational Reasoning. CoRR Ronghang Hu, Anna Rohrbach, Trevor Darrell, Kate Saenko
2019	—	`conf`	Learning Multi-Level Hierarchies with Hindsight. ICLR (Poster) Andrew Levy, George Dimitri Konidaris, Robert Platt Jr., Kate Saenko
2019	A*	`conf`	Learning Similarity Conditions Without Explicit Supervision. ICCV Reuben Tan, Mariya I. Vasileva, Kate Saenko, Bryan A. Plummer
2019	J	`jnl`	Learning Similarity Conditions Without Explicit Supervision. CoRR Reuben Tan, Mariya I. Vasileva, Kate Saenko, Bryan A. Plummer
2019	J	`jnl`	MULE: Multimodal Universal Language Embedding. CoRR Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer
2019	A*	`conf`	Moment Matching for Multi-Source Domain Adaptation. ICCV Xingchao Peng, Qinxun Bai, Xide Xia, Zijun Huang, Kate Saenko, Bo Wang
2019	A*	`conf`	Multilevel Language and Vision Integration for Text-to-Clip Retrieval. AAAI Huijuan Xu, Kun He, Bryan A. Plummer, Leonid Sigal, Stan Sclaroff, Kate Saenko
2019	A*	`conf`	PuppetGAN: Cross-Domain Image Manipulation by Demonstration. ICCV Ben Usman, Nick Dufour, Kate Saenko, Chris Bregler
2019	J	`jnl`	PuppetGAN: Transferring Disentangled Properties from Synthetic to Real Images. CoRR Ben Usman, Nick Dufour, Kate Saenko, Chris Bregler
2019	A*	`conf`	Semi-Supervised Domain Adaptation via Minimax Entropy. ICCV Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Trevor Darrell, Kate Saenko
2019	J	`jnl`	Semi-supervised Domain Adaptation via Minimax Entropy. CoRR Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Trevor Darrell, Kate Saenko
2019	A*	`conf`	Strong-Weak Distribution Alignment for Adaptive Object Detection. CVPR Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko
2019	J	`jnl`	Two-Stream Region Convolutional 3D Network for Temporal Activity Detection. CoRR Huijuan Xu, Abir Das, Kate Saenko
2019	J	`jnl`	Two-Stream Region Convolutional 3D Network for Temporal Activity Detection. IEEE Trans. Pattern Anal. Mach. Intell. Huijuan Xu, Abir Das, Kate Saenko
2019	J	`jnl`	Weakly-supervised Compositional FeatureAggregation for Few-shot Recognition. CoRR Ping Hu, Ximeng Sun, Kate Saenko, Stan Sclaroff
2019	J	`jnl`	Why do These Match? Explaining the Behavior of Image Similarity Models. CoRR Bryan A. Plummer, Mariya I. Vasileva, Vitali Petsiuk, Kate Saenko, David A. Forsyth
2019	J	`jnl`	wMAN: Weakly-supervised Moment Alignment Network for Text-based Video Segment Retrieval. CoRR Reuben Tan, Huijuan Xu, Kate Saenko, Bryan A. Plummer
2018	J	`jnl`	A Two-Stream Variational Adversarial Network for Video Generation. CoRR Ximeng Sun, Huijuan Xu, Kate Saenko
2018	—	`conf`	Adapting Control Policies from Simulation to Reality Using a Pairwise Loss. ISER Ulrich Viereck, Xingchao Peng, Kate Saenko, Robert Platt Jr.
2018	J	`jnl`	Adapting control policies from simulation to reality using a pairwise loss. CoRR Ulrich Viereck, Kate Saenko, Robert Platt Jr.
2018	—	`conf`	Adversarial Dropout Regularization. ICLR (Poster) Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko
2018	J	`jnl`	Contextual Multi-Scale Region Convolutional 3D Network for Activity Detection. CoRR Yancheng Bai, Huijuan Xu, Kate Saenko, Bernard Ghanem
2018	A*	`conf`	CyCADA: Cycle-Consistent Adversarial Domain Adaptation. ICML Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell
2018	—	`conf`	Explainable Neural Computation via Stack Neural Module Networks. ECCV (7) Ronghang Hu, Jacob Andreas, Trevor Darrell, Kate Saenko
2018	J	`jnl`	Explainable Neural Computation via Stack Neural Module Networks. CoRR Ronghang Hu, Jacob Andreas, Trevor Darrell, Kate Saenko
2018	J	`jnl`	Guided Zoom: Questioning Network Evidence for Fine-grained Classification. CoRR Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff
2018	J	`jnl`	Joint Event Detection and Description in Continuous Video Streams. CoRR Huijuan Xu, Boyang Li, Vasili Ramanishka, Leonid Sigal, Kate Saenko
2018	J	`jnl`	Moment Matching for Multi-Source Domain Adaptation. CoRR Xingchao Peng, Qinxun Bai, Xide Xia, Zijun Huang, Kate Saenko, Bo Wang
2018	A*	`conf`	Object Hallucination in Image Captioning. EMNLP Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, Trevor Darrell, Kate Saenko
2018	J	`jnl`	Object Hallucination in Image Captioning. CoRR Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, Trevor Darrell, Kate Saenko
2018	J	`jnl`	Open-vocabulary Phrase Detection. CoRR Bryan A. Plummer, Kevin J. Shih, Yichen Li, Ke Xu, Svetlana Lazebnik, Stan Sclaroff, Kate Saenko
2018	A	`conf`	RISE: Randomized Input Sampling for Explanation of Black-box Models. BMVC Vitali Petsiuk, Abir Das, Kate Saenko
2018	J	`jnl`	RISE: Randomized Input Sampling for Explanation of Black-box Models. CoRR Vitali Petsiuk, Abir Das, Kate Saenko
2018	J	`jnl`	SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection. CoRR Eric Tzeng, Kaylee Burns, Kate Saenko, Trevor Darrell
2018	J	`jnl`	Similarity R-C3D for Few-shot Temporal Activity Detection. CoRR Huijuan Xu, Bingyi Kang, Ximeng Sun, Jiashi Feng, Kate Saenko, Trevor Darrell
2018	A*	`conf`	Speaker-Follower Models for Vision-and-Language Navigation. NeurIPS Daniel Fried, Ronghang Hu, Volkan Cirik, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein, Trevor Darrell
2018	J	`jnl`	Speaker-Follower Models for Vision-and-Language Navigation. CoRR Daniel Fried, Ronghang Hu, Volkan Cirik, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein, Trevor Darrell
2018	—	`conf`	Stable Distribution Alignment Using the Dual of the Adversarial Distance. ICLR (Workshop) Ben Usman, Kate Saenko, Brian Kulis
2018	J	`jnl`	Strong-Weak Distribution Alignment for Adaptive Object Detection. CoRR Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko
2018	J	`jnl`	Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation. CoRR Xingchao Peng, Ben Usman, Kuniaki Saito, Neela Kaushik, Judy Hoffman, Kate Saenko
2018	A	`conf`	Synthetic to Real Adaptation with Generative Correlation Alignment Networks. WACV Xingchao Peng, Kate Saenko
2018	J	`jnl`	Text-to-Clip Video Retrieval with Early Fusion and Re-Captioning. CoRR Huijuan Xu, Kun He, Leonid Sigal, Stan Sclaroff, Kate Saenko
2018	A*	`conf`	Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning. CVPR Vasili Ramanishka, Yi-Ting Chen, Teruhisa Misu, Kate Saenko
2018	J	`jnl`	Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning. CoRR Vasili Ramanishka, Yi-Ting Chen, Teruhisa Misu, Kate Saenko
2018	J	`jnl`	Unsupervised Video-to-Video Translation. CoRR Dina Bashkirova, Ben Usman, Kate Saenko
2018	—	`conf`	VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation. CVPR Workshops Xingchao Peng, Ben Usman, Neela Kaushik, Dequan Wang, Judy Hoffman, Kate Saenko
2018	J	`jnl`	Vision and Language Integration Meets Multimedia Fusion. IEEE Multim. Marie-Francine Moens, Katerina Pastra, Kate Saenko, Tinne Tuytelaars
2018	—	`conf`	Women Also Snowboard: Overcoming Bias in Captioning Models. ECCV (3) Lisa Anne Hendricks, Kaylee Burns, Kate Saenko, Trevor Darrell, Anna Rohrbach
2018	J	`jnl`	Women also Snowboard: Overcoming Bias in Captioning Models (Extended Abstract). CoRR Lisa Anne Hendricks, Kaylee Burns, Kate Saenko, Trevor Darrell, Anna Rohrbach
2017	—	`conf`	Adversarial Discriminative Domain Adaptation (workshop extended abstract). ICLR (Workshop) Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell
2017	A*	`conf`	Adversarial Discriminative Domain Adaptation. CVPR Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell
2017	J	`jnl`	Adversarial Discriminative Domain Adaptation. CoRR Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell
2017	J	`jnl`	Adversarial Dropout Regularization. CoRR Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko
2017	A*	`conf`	Captioning Images with Diverse Objects. CVPR Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond J. Mooney, Trevor Darrell, Kate Saenko
2017	—	`ch.`	Correlation Alignment for Unsupervised Domain Adaptation. Domain Adaptation in Computer Vision Applications Baochen Sun, Jiashi Feng, Kate Saenko
2017	J	`jnl`	CyCADA: Cycle-Consistent Adversarial Domain Adaptation. CoRR Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell
2017	J	`jnl`	Grasp Pose Detection in Point Clouds. CoRR Andreas ten Pas, Marcus Gualtieri, Kate Saenko, Robert Platt Jr.
2017	J	`jnl`	Grasp Pose Detection in Point Clouds. Int. J. Robotics Res. Andreas ten Pas, Marcus Gualtieri, Kate Saenko, Robert Platt Jr.
2017	B	`conf`	Ground2sky label transfer for fine-grained aerial car recognition. ICIP Baochen Sun, Xingchao Peng, Stella X. Yu, Kate Saenko
2017	J	`jnl`	Guest Editorial: Image and Language Understanding. Int. J. Comput. Vis. Margaret Mitchell, John C. Platt, Kate Saenko
2017	J	`jnl`	Hierarchical Actor-Critic. CoRR Andrew Levy, Robert Platt Jr., Kate Saenko
2017	J	`jnl`	Learning a visuomotor controller for real world robotic grasping using easily simulated depth images. CoRR Ulrich Viereck, Andreas ten Pas, Kate Saenko, Robert Platt Jr.
2017	Misc	`conf`	Learning a visuomotor controller for real world robotic grasping using simulated depth images. CoRL Ulrich Viereck, Andreas ten Pas, Kate Saenko, Robert Platt Jr.
2017	A*	`conf`	Learning to Reason: End-to-End Module Networks for Visual Question Answering. ICCV Ronghang Hu, Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Kate Saenko
2017	J	`jnl`	Learning to Reason: End-to-End Module Networks for Visual Question Answering. CoRR Ronghang Hu, Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Kate Saenko
2017	J	`jnl`	Long-Term Recurrent Convolutional Networks for Visual Recognition and Description. IEEE Trans. Pattern Anal. Mach. Intell. Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, Subhashini Venugopalan, Sergio Guadarrama, Kate Saenko, Trevor Darrell
2017	A*	`conf`	Modeling Relationships in Referential Expressions with Compositional Modular Networks. CVPR Ronghang Hu, Marcus Rohrbach, Jacob Andreas, Trevor Darrell, Kate Saenko
2017	A*	`conf`	R-C3D: Region Convolutional 3D Network for Temporal Activity Detection. ICCV Huijuan Xu, Abir Das, Kate Saenko
2017	J	`jnl`	R-C3D: Region Convolutional 3D Network for Temporal Activity Detection. CoRR Huijuan Xu, Abir Das, Kate Saenko
2017	—	`ch.`	Simultaneous Deep Transfer Across Domains and Tasks. Domain Adaptation in Computer Vision Applications Judy Hoffman, Eric Tzeng, Trevor Darrell, Kate Saenko
2017	J	`jnl`	Stable Distribution Alignment Using the Dual of the Adversarial Distance. CoRR Ben Usman, Kate Saenko, Brian Kulis
2017	J	`jnl`	Synthetic to Real Adaptation with Deep Generative Correlation Alignment Networks. CoRR Xingchao Peng, Kate Saenko
2017	A*	`conf`	Top-Down Visual Saliency Guided by Captions. CVPR Vasili Ramanishka, Abir Das, Jianming Zhang, Kate Saenko
2017	J	`jnl`	VisDA: The Visual Domain Adaptation Challenge. CoRR Xingchao Peng, Ben Usman, Neela Kaushik, Judy Hoffman, Dequan Wang, Kate Saenko
2016	C	`conf`	Adapting Deep Visuomotor Representations with Weak Pairwise Constraints. WAFR Eric Tzeng, Coline Devin, Judy Hoffman, Chelsea Finn, Pieter Abbeel, Sergey Levine, Kate Saenko, Trevor Darrell
2016	—	`conf`	Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering. ECCV (7) Huijuan Xu, Kate Saenko
2016	J	`jnl`	Captioning Images with Diverse Objects. CoRR Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond J. Mooney, Trevor Darrell, Kate Saenko
2016	J	`jnl`	Combining Texture and Shape Cues for Object Recognition With Minimal Supervision. CoRR Xingchao Peng, Kate Saenko
2016	—	`conf`	Combining Texture and Shape Cues for Object Recognition with Minimal Supervision. ACCV (4) Xingchao Peng, Kate Saenko
2016	J	`jnl`	Correlation Alignment for Unsupervised Domain Adaptation. CoRR Baochen Sun, Jiashi Feng, Kate Saenko
2016	—	`conf`	Deep CORAL: Correlation Alignment for Deep Domain Adaptation. ECCV Workshops (3) Baochen Sun, Kate Saenko
2016	J	`jnl`	Deep CORAL: Correlation Alignment for Deep Domain Adaptation. CoRR Baochen Sun, Kate Saenko
2016	A*	`conf`	Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data. CVPR Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko, Trevor Darrell
2016	J	`jnl`	Fine-to-coarse Knowledge Transfer For Low-Res Image Classification. CoRR Xingchao Peng, Judy Hoffman, Stella X. Yu, Kate Saenko
2016	B	`conf`	Fine-to-coarse knowledge transfer for low-res image classification. ICIP Xingchao Peng, Judy Hoffman, Stella X. Yu, Kate Saenko
2016	A	`conf`	High precision grasp pose detection in dense clutter. IROS Marcus Gualtieri, Andreas ten Pas, Kate Saenko, Robert Platt Jr.
2016	J	`jnl`	High precision grasp pose detection in dense clutter. CoRR Marcus Gualtieri, Andreas ten Pas, Kate Saenko, Robert Platt Jr.
2016	A*	`conf`	Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text. EMNLP Subhashini Venugopalan, Lisa Anne Hendricks, Raymond J. Mooney, Kate Saenko
2016	J	`jnl`	Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text. CoRR Subhashini Venugopalan, Lisa Anne Hendricks, Raymond J. Mooney, Kate Saenko
2016	J	`jnl`	Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning. J. Mach. Learn. Res. Judy Hoffman, Deepak Pathak, Eric Tzeng, Jonathan Long, Sergio Guadarrama, Trevor Darrell, Kate Saenko
2016	—	`conf`	MUTT: Metric Unit TesTing for Language Generation Tasks. ACL (1) William Boag, Renan Campos, Kate Saenko, Anna Rumshisky
2016	J	`jnl`	Modeling Relationships in Referential Expressions with Compositional Modular Networks. CoRR Ronghang Hu, Marcus Rohrbach, Jacob Andreas, Trevor Darrell, Kate Saenko
2016	A*	`conf`	Multimodal Video Description. ACM Multimedia Vasili Ramanishka, Abir Das, Dong Huk Park, Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Kate Saenko
2016	A*	`conf`	Natural Language Object Retrieval. CVPR Ronghang Hu, Huazhe Xu, Marcus Rohrbach, Jiashi Feng, Kate Saenko, Trevor Darrell
2016	—	`ed.`	Proceedings of the 2016 ACM workshop on Vision and Language Integration Meets Multimedia Fusion, iV&L-MM@MM 2016, Amsterdam, Netherlands, October 16, 2016 iV&L-MM@MM Marie-Francine Moens, Katerina Pastra, Kate Saenko, Tinne Tuytelaars
2016	A*	`conf`	Return of Frustratingly Easy Domain Adaptation. AAAI Baochen Sun, Jiashi Feng, Kate Saenko
2016	J	`jnl`	Top-down Visual Saliency Guided by Captions. CoRR Vasili Ramanishka, Abir Das, Jianming Zhang, Kate Saenko
2016	J	`jnl`	Understanding object descriptions in robotics by open-vocabulary object retrieval and detection. Int. J. Robotics Res. Sergio Guadarrama, Erik Rodner, Kate Saenko, Trevor Darrell
2016	A*	`conf`	Vision and Language Integration Meets Multimedia Fusion: Proceedings of ACM Multimedia 2016 Workshop. ACM Multimedia Marie-Francine Moens, Katerina Pastra, Kate Saenko, Tinne Tuytelaars
2015	J	`jnl`	A Multi-scale Multiple Instance Video Description Network. CoRR Huijuan Xu, Subhashini Venugopalan, Vasili Ramanishka, Marcus Rohrbach, Kate Saenko
2015	J	`jnl`	Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering. CoRR Huijuan Xu, Kate Saenko
2015	J	`jnl`	Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data. CoRR Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko, Trevor Darrell
2015	A*	`conf`	Detector discovery in the wild: Joint multiple instance and representation learning. CVPR Judy Hoffman, Deepak Pathak, Trevor Darrell, Kate Saenko
2015	A*	`conf`	Learning Deep Object Detectors from 3D Models. ICCV Xingchao Peng, Baochen Sun, Karim Ali, Kate Saenko
2015	A*	`conf`	Long-term recurrent convolutional networks for visual recognition and description. CVPR Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Trevor Darrell, Kate Saenko
2015	J	`jnl`	Natural Language Object Retrieval. CoRR Ronghang Hu, Huazhe Xu, Marcus Rohrbach, Jiashi Feng, Kate Saenko, Trevor Darrell
2015	J	`jnl`	Return of Frustratingly Easy Domain Adaptation. CoRR Baochen Sun, Jiashi Feng, Kate Saenko
2015	A*	`conf`	Sequence to Sequence - Video to Text. ICCV Subhashini Venugopalan, Marcus Rohrbach, Jeffrey Donahue, Raymond J. Mooney, Trevor Darrell, Kate Saenko
2015	J	`jnl`	Sequence to Sequence - Video to Text. CoRR Subhashini Venugopalan, Marcus Rohrbach, Jeff Donahue, Raymond J. Mooney, Trevor Darrell, Kate Saenko
2015	A*	`conf`	Simultaneous Deep Transfer Across Domains and Tasks. ICCV Eric Tzeng, Judy Hoffman, Trevor Darrell, Kate Saenko
2015	J	`jnl`	Simultaneous Deep Transfer Across Domains and Tasks. CoRR Eric Tzeng, Judy Hoffman, Trevor Darrell, Kate Saenko
2015	A*	`conf`	Spatial Semantic Regularisation for Large Scale Object Detection. ICCV Damian Mrowca, Marcus Rohrbach, Judy Hoffman, Ronghang Hu, Kate Saenko, Trevor Darrell
2015	J	`jnl`	Spatial Semantic Regularisation for Large Scale Object Detection. CoRR Damian Mrowca, Marcus Rohrbach, Judy Hoffman, Ronghang Hu, Kate Saenko, Trevor Darrell
2015	A	`conf`	Subspace Distribution Alignment for Unsupervised Domain Adaptation. BMVC Baochen Sun, Kate Saenko
2015	J	`jnl`	Towards Adapting Deep Visuomotor Representations from Simulated to Real Environments. CoRR Eric Tzeng, Coline Devin, Judy Hoffman, Chelsea Finn, Xingchao Peng, Sergey Levine, Kate Saenko, Trevor Darrell
2015	—	`conf`	Translating Videos to Natural Language Using Deep Recurrent Neural Networks. HLT-NAACL Subhashini Venugopalan, Huijuan Xu, Jeff Donahue, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko
2015	—	`conf`	What Do Deep CNNs Learn About Objects? ICLR (Workshop) Xingchao Peng, Baochen Sun, Karim Ali, Kate Saenko
2014	J	`jnl`	Asymmetric and Category Invariant Feature Transformations for Domain Adaptation. Int. J. Comput. Vis. Judy Hoffman, Erik Rodner, Jeff Donahue, Brian Kulis, Kate Saenko
2014	A*	`conf`	Confidence-Rated Multiple Instance Boosting for Object Detection. CVPR Karim Ali, Kate Saenko
2014	A*	`conf`	Continuous Manifold Based Adaptation for Evolving Visual Domains. CVPR Judy Hoffman, Trevor Darrell, Kate Saenko
2014	J	`jnl`	Deep Domain Confusion: Maximizing for Domain Invariance. CoRR Eric Tzeng, Judy Hoffman, Ning Zhang, Kate Saenko, Trevor Darrell
2014	J	`jnl`	Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning. CoRR Judy Hoffman, Deepak Pathak, Trevor Darrell, Kate Saenko
2014	J	`jnl`	Exploring Invariances in Deep Convolutional Neural Networks Using Synthetic Images. CoRR Xingchao Peng, Baochen Sun, Karim Ali, Kate Saenko
2014	A	`conf`	From Virtual to Reality: Fast Adaptation of Virtual Object Detectors to Real Domains. BMVC Baochen Sun, Kate Saenko
2014	B	`conf`	Integrating Language and Vision to Generate Natural Language Descriptions of Videos in the Wild. COLING Jesse Thomason, Subhashini Venugopalan, Sergio Guadarrama, Kate Saenko, Raymond J. Mooney
2014	A*	`conf`	Interactive adaptation of real-time object detectors. ICRA Daniel Goehring, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell
2014	J	`jnl`	LSDA: Large Scale Detection Through Adaptation. CoRR Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Jeff Donahue, Ross B. Girshick, Trevor Darrell, Kate Saenko
2014	—	`conf`	LSDA: Large Scale Detection through Adaptation. NIPS Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Ronghang Hu, Jeff Donahue, Ross B. Girshick, Trevor Darrell, Kate Saenko
2014	J	`jnl`	Long-term Recurrent Convolutional Networks for Visual Recognition and Description. CoRR Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Kate Saenko, Trevor Darrell
2014	J	`jnl`	Modeling Radiometric Uncertainty for Vision with Tone-Mapped Color Images. IEEE Trans. Pattern Anal. Mach. Intell. Ayan Chakrabarti, Ying Xiong, Baochen Sun, Trevor Darrell, Daniel Scharstein, Todd E. Zickler, Kate Saenko
2014	—	`conf`	One-Shot Adaptation of Supervised Deep Convolutional Models. ICLR (Workshop Poster) Judy Hoffman, Eric Tzeng, Jeff Donahue, Yangqing Jia, Kate Saenko, Trevor Darrell
2014	—	`conf`	Open-vocabulary Object Retrieval. Robotics: Science and Systems Sergio Guadarrama, Erik Rodner, Kate Saenko, Ning Zhang, Ryan Farrell, Jeff Donahue, Trevor Darrell
2014	J	`jnl`	Translating Videos to Natural Language Using Deep Recurrent Neural Networks. CoRR Subhashini Venugopalan, Huijuan Xu, Jeff Donahue, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko
2013	—	`conf`	"Off the grid": Self-contained landmarks for improved indoor probabilistic localization. TePRA Eric McCann, Mikhail S. Medvedev, Daniel J. Brooks, Kate Saenko
2013	—	`ch.`	A Category-Level 3D Object Dataset: Putting the Kinect to Work. Consumer Depth Cameras for Computer Vision Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell
2013	A*	`conf`	Efficient Learning of Domain-invariant Image Representations ICLR (Poster) Judy Hoffman, Erik Rodner, Jeff Donahue, Kate Saenko, Trevor Darrell
2013	A*	`conf`	Generating Natural-Language Video Descriptions Using Text-Mined Knowledge. AAAI Niveda Krishnamoorthy, Girish Malkarnenkar, Raymond J. Mooney, Kate Saenko, Sergio Guadarrama
2013	J	`jnl`	Modeling Radiometric Uncertainty for Vision with Tone-mapped Color Images. CoRR Ayan Chakrabarti, Ying Xiong, Baochen Sun, Trevor Darrell, Daniel Scharstein, Todd E. Zickler, Kate Saenko
2013	A*	`conf`	Semi-supervised Domain Adaptation with Instance Constraints. CVPR Jeff Donahue, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell
2013	J	`jnl`	Towards Adapting ImageNet to Reality: Scalable Domain Adaptation with Implicit Low-rank Transformations. CoRR Erik Rodner, Judy Hoffman, Jeff Donahue, Trevor Darrell, Kate Saenko
2013	A*	`conf`	YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition. ICCV Sergio Guadarrama, Niveda Krishnamoorthy, Girish Malkarnenkar, Subhashini Venugopalan, Raymond J. Mooney, Trevor Darrell, Kate Saenko
2012	A*	`conf`	A combined pose, object, and feature model for action understanding. CVPR Benjamin Packer, Kate Saenko, Daphne Koller
2012	—	`conf`	Discovering Latent Domains for Multisource Domain Adaptation. ECCV (2) Judy Hoffman, Brian Kulis, Trevor Darrell, Kate Saenko
2012	A*	`conf`	From pixels to physics: Probabilistic color de-rendering. CVPR Ying Xiong, Kate Saenko, Trevor Darrell, Todd E. Zickler
2011	—	`conf`	A category-level 3-D object dataset: Putting the Kinect to work. ICCV Workshops Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell
2011	A*	`conf`	Learning object color models from multi-view constraints. CVPR Trevor Owens, Kate Saenko, Ayan Chakrabarti, Ying Xiong, Todd E. Zickler, Trevor Darrell
2011	A	`conf`	Practical 3-D object detection using category and instance-level appearance models. IROS Kate Saenko, Sergey Karayev, Yangqing Jia, Alex Shyr, Allison Janoch, Jonathan Long, Mario Fritz, Trevor Darrell
2011	A*	`conf`	The NBNN kernel. ICCV Tinne Tuytelaars, Mario Fritz, Kate Saenko, Trevor Darrell
2011	A*	`conf`	What you saw is not what you get: Domain adaptation using asymmetric kernel transforms. CVPR Brian Kulis, Kate Saenko, Trevor Darrell
2010	—	`conf`	Adapting Visual Category Models to New Domains. ECCV (4) Kate Saenko, Brian Kulis, Mario Fritz, Trevor Darrell
2010	—	`conf`	Size Matters: Metric Visual Search Constraints from Monocular Metadata. NIPS Mario Fritz, Kate Saenko, Trevor Darrell
2009	—	`conf`	Filtering Abstract Senses From Image Search Results. NIPS Kate Saenko, Trevor Darrell
2009	J	`jnl`	Multistream Articulatory Feature-Based Models for Visual Speech Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Kate Saenko, Karen Livescu, James R. Glass, Trevor Darrell
2008	—	`conf`	Unsupervised Learning of Visual Sense Models for Polysemous Words. NIPS Kate Saenko, Trevor Darrell
2007	—	`conf`	Articulatory Feature-Based Methods for Acoustic and Audio-Visual Speech Recognition: Summary from the 2006 JHU Summer workshop. ICASSP (4) Karen Livescu, Özgür Çetin, Mark Hasegawa-Johnson, Simon King, Chris D. Bartels, Nash M. Borges, Arthur Kantor, Partha Lal, Lisa Yung, Ari Bezman, Stephen Dawson-Haggerty, Bronwyn Woods, Joe Frankel, Mathew Magimai-Doss, Kate Saenko
2007	—	`conf`	Object Category Recognition Using Probabilistic Fusion of Speech and Image Classifiers. MLMI Kate Saenko, Trevor Darrell
2006	—	`conf`	An Asynchronous DBN for Audio-Visual speech Recognition. SLT Kate Saenko, Karen Livescu
2006	B	`conf`	Co-Adaptation of audio-visual speech and gesture classifiers. ICMI C. Mario Christoudias, Kate Saenko, Louis-Philippe Morency, Trevor Darrell
2005	—	`conf`	Production domain modeling of pronunciation for visual speech recognition. ICASSP (5) Kate Saenko, Karen Livescu, James R. Glass, Trevor Darrell
2005	A*	`conf`	Visual Speech Recognition with Loosely Synchronized Feature Streams. ICCV Kate Saenko, Karen Livescu, Michael Siracusa, Kevin W. Wilson, James R. Glass, Trevor Darrell
2004	B	`conf`	A segment-based audio-visual speech recognizer: data collection, development, and initial experiments. ICMI Timothy J. Hazen, Kate Saenko, Chia-Hao La, James R. Glass
2004	B	`conf`	Articulatory features for robust visual speech recognition. ICMI Kate Saenko, Trevor Darrell, James R. Glass