Saenko, Kate

133 publications

WACV 2025 ERM++: An Improved Baseline for Domain Generalization Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Kate Saenko, Bryan Plummer

ICLR 2025 Is Large-Scale Pretraining the Secret to Good Domain Generalization? Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Bryan A. Plummer, Kate Saenko

ICLR 2025 KiVA: Kid-Inspired Visual Analogies for Testing Large Multimodal Models Eunice Yiu, Maan Qraitem, Anisa Noor Majhi, Charlie Wong, Yutong Bai, Shiry Ginosar, Alison Gopnik, Kate Saenko

CVPR 2025 SPARC: Score Prompting and Adaptive Fusion for Zero-Shot Multi-Label Recognition in Vision-Language Models Kevin Miller, Aditya Gangrade, Samarth Mishra, Kate Saenko, Venkatesh Saligrama

ICCV 2025 Web Artifact Attacks Disrupt Vision Language Models Maan Qraitem, Piotr Teterwak, Kate Saenko, Bryan A. Plummer

ECCV 2024 Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models Vitali Petsiuk, Kate Saenko

ECCV 2024 From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognition Maan Qraitem, Kate Saenko, Bryan A. Plummer

WACV 2024 Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths Ximeng Sun, Rameswar Panda, Chun-Fu Richard Chen, Naigang Wang, Bowen Pan, Aude Oliva, Rogerio Feris, Kate Saenko

CVPR 2024 Koala: Key Frame-Conditioned Long Video-LLM Reuben Tan, Ximeng Sun, Ping Hu, Jui-hsien Wang, Hanieh Deilamsalehy, Bryan A. Plummer, Bryan Russell, Kate Saenko

WACV 2024 Learning to Compose SuperWeights for Neural Parameter Allocation Search Piotr Teterwak, Soren Nelson, Nikoli Dryden, Dina Bashkirova, Kate Saenko, Bryan A. Plummer

CVPR 2023 Bias Mimicking: A Simple Sampling Approach for Bias Mitigation Maan Qraitem, Kate Saenko, Bryan A. Plummer

NeurIPS 2023 Cola: A Benchmark for Compositional Text-to-Image Retrieval Arijit Ray, Filip Radenovic, Abhimanyu Dubey, Bryan Plummer, Ranjay Krishna, Kate Saenko

ICCV 2023 DIME-FM : DIstilling Multimodal and Efficient Foundation Models Ximeng Sun, Pengchuan Zhang, Peizhao Zhang, Hardik Shah, Kate Saenko, Xide Xia

CVPR 2023 Language-Guided Audio-Visual Source Separation via Trimodal Consistency Reuben Tan, Arijit Ray, Andrea Burns, Bryan A. Plummer, Justin Salamon, Oriol Nieto, Bryan Russell, Kate Saenko

CVPR 2023 MaskSketch: Unpaired Structure-Guided Masked Image Generation Dina Bashkirova, José Lezama, Kihyuk Sohn, Kate Saenko, Irfan Essa

CVPR 2023 Pic2Word: Mapping Pictures to Words for Zero-Shot Composed Image Retrieval Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister

CVPR 2023 Prefix Conditioning Unifies Language and Label Supervision Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister

WACV 2023 RIFT: Disentangled Unsupervised Image Translation via Restricted Information Flow Ben Usman, Dina Bashkirova, Kate Saenko

WACV 2023 Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation Aadarsh Sahoo, Rameswar Panda, Rogerio Feris, Kate Saenko, Abir Das

ECCV 2022 A Broad Study of Pre-Training for Domain Generalization and Adaptation Donghyun Kim, Kaihong Wang, Stan Sclaroff, Kate Saenko

ECCV 2022 A Dataset for Interactive Vision-Language Navigation with Unknown Command Feasibility Andrea Burns, Deniz Arsan, Sanjna Agrawal, Ranjitha Kumar, Kate Saenko, Bryan A. Plummer

ECCV 2022 A Unified Framework for Domain Adaptive Pose Estimation Donghyun Kim, Kaihong Wang, Kate Saenko, Margrit Betke, Stan Sclaroff

NeurIPS 2022 DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations Ximeng Sun, Ping Hu, Kate Saenko

WACV 2022 Evaluation of Correctness in Unsupervised Many-to-Many Image Translation Dina Bashkirova, Ben Usman, Kate Saenko

ICLR 2022 Extending the WILDS Benchmark for Unsupervised Adaptation 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

NeurIPS 2022 FETA: Towards Specializing Foundational Models for Expert Task Applications Amit Alfassy, Assaf Arbelle, Oshri Halimi, Sivan Harary, Roei Herzig, Eli Schwartz, Rameswar Panda, Michele Dolfi, Christoph Auer, Peter Staar, Kate Saenko, Rogerio Feris, Leonid Karlinsky

NeurIPS 2022 Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing Nataniel Ruiz, Sarah Bargal, Cihang Xie, Kate Saenko, Stan Sclaroff

NeurIPS 2022 How Transferable Are Video Representations Based on Synthetic Data? Yo-whan Kim, Samarth Mishra, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Kate Saenko, Aude Oliva, Rogerio Feris

ECCV 2022 Learning to Detect Every Thing in an Open World Kuniaki Saito, Ping Hu, Trevor Darrell, Kate Saenko

CVPR 2022 Many-to-Many Splatting for Efficient Video Frame Interpolation Ping Hu, Simon Niklaus, Stan Sclaroff, Kate Saenko

CVPR 2022 MetaPose: Fast 3D Pose from Multiple Views Without 3D Supervision Ben Usman, Andrea Tagliasacchi, Kate Saenko, Avneesh Sud

ICLR 2022 Multi-Critic Actor Learning: Teaching RL Policies to Act with Style Siddharth Mysore, George Cheng, Yunqi Zhao, Kate Saenko, Meng Wu

ICLR 2022 Neural Parameter Allocation Search Bryan A. Plummer, Nikoli Dryden, Julius Frost, Torsten Hoefler, Kate Saenko

ECCV 2022 NewsStories: Illustrating Articles with Visual Summaries Reuben Tan, Bryan A. Plummer, Kate Saenko, Jp Lewis, Avneesh Sud, Thomas Leung

CVPR 2022 Task2Sim: Towards Effective Pre-Training and Transfer from Synthetic Data Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogerio S. Feris

ECCV 2022 The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning Jack Hessel, Jena D. Hwang, Jae Sung Park, Rowan Zellers, Chandra Bhagavatula, Anna Rohrbach, Kate Saenko, Yejin Choi

CVPR 2022 Unsupervised Domain Generalization by Learning a Bridge Across Domains Sivan Harary, Eli Schwartz, Assaf Arbelle, Peter Staar, Shady Abu-Hussein, Elad Amrani, Roei Herzig, Amit Alfassy, Raja Giryes, Hilde Kuehne, Dina Katabi, Kate Saenko, Rogerio S. Feris, Leonid Karlinsky

CVPR 2022 ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes Dina Bashkirova, Mohamed Abdelfattah, Ziliang Zhu, James Akl, Fadi Alladkani, Ping Hu, Vitaly Ablavsky, Berk Calli, Sarah Adel Bargal, Kate Saenko

ICCV 2021 Active Domain Adaptation via Clustering Uncertainty-Weighted Embeddings Viraj Prabhu, Arjun Chandrasekaran, Kate Saenko, Judy Hoffman

ICLR 2021 AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogerio Feris

ICCV 2021 AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition Rameswar Panda, Chun-Fu Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogerio Feris

CVPR 2021 Black-Box Explanation of Object Detectors via Saliency Maps Vitali Petsiuk, Rajiv Jain, Varun Manjunatha, Vlad I. Morariu, Ashutosh Mehra, Vicente Ordonez, Kate Saenko

ICCV 2021 CDS: Cross-Domain Self-Supervised Pre-Training Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko

NeurIPS 2021 Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing Aadarsh Sahoo, Rutav Shah, Rameswar Panda, Kate Saenko, Abir Das

ICCV 2021 Detector-Free Weakly Supervised Grounding by Separation 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 Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogerio Feris, Leonid Karlinsky

ICCV 2021 Dynamic Network Quantization for Efficient Video Inference Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Aude Oliva, Rogerio Feris, Kate Saenko

CVPRW 2021 Explainable Deep Classification Models for Domain Generalization Andrea Zunino, Sarah Adel Bargal, Riccardo Volpi, Mehrnoosh Sameki, Jianming Zhang, Stan Sclaroff, Vittorio Murino, Kate Saenko

NeurIPSW 2021 Extending the WILDS Benchmark for Unsupervised Adaptation 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

CVPR 2021 Fine-Grained Angular Contrastive Learning with Coarse Labels Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogerio Feris, Raja Giryes, Leonid Karlinsky

ICCV 2021 Learning Cross-Modal Contrastive Features for Video Domain Adaptation Donghyun Kim, Yi-Hsuan Tsai, Bingbing Zhuang, Xiang Yu, Stan Sclaroff, Kate Saenko, Manmohan Chandraker

WACV 2021 LoGAN: Latent Graph Co-Attention Network for Weakly-Supervised Video Moment Retrieval Reuben Tan, Huijuan Xu, Kate Saenko, Bryan A. Plummer

NeurIPS 2021 Look at What I’m Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos Reuben Tan, Bryan Plummer, Kate Saenko, Hailin Jin, Bryan Russell

ICCV 2021 OVANet: One-vs-All Network for Universal Domain Adaptation Kuniaki Saito, Kate Saenko

NeurIPS 2021 OpenMatch: Open-Set Semi-Supervised Learning with Open-Set Consistency Regularization Kuniaki Saito, Donghyun Kim, Kate Saenko

NeurIPSW 2021 Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation Aadarsh Sahoo, Rameswar Panda, Rogerio Feris, Kate Saenko, Abir Das

ICCVW 2021 Self-Supervised Visual Attribute Learning for Fashion Compatibility Donghyun Kim, Kuniaki Saito, Samarth Mishra, Stan Sclaroff, Kate Saenko, Bryan A. Plummer

CVPR 2021 Semi-Supervised Action Recognition with Temporal Contrastive Learning Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogerio Feris, Kate Saenko, Abir Das

CVPR 2021 Separating Skills and Concepts for Novel Visual Question Answering Spencer Whitehead, Hui Wu, Heng Ji, Rogerio Feris, Kate Saenko

NeurIPSW 2021 Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency Samarth Mishra, Kate Saenko, Venkatesh Saligrama

ICCV 2021 Temporal Action Detection with Multi-Level Supervision Baifeng Shi, Qi Dai, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu

ICCV 2021 Tune It the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko

ICLR 2021 VA-RED$^2$: Video Adaptive Redundancy Reduction Bowen Pan, Rameswar Panda, Camilo Luciano Fosco, Chung-Ching Lin, Alex J Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogerio Feris

ECCV 2020 A Broader Study of Cross-Domain Few-Shot Learning Yunhui Guo, Noel C. Codella, Leonid Karlinsky, James V. Codella, John R. Smith, Kate Saenko, Tajana Rosing, Rogerio Feris

ECCV 2020 AR-Net: Adaptive Frame Resolution for Efficient Action Recognition Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogerio Feris

NeurIPS 2020 AdaShare: Learning What to Share for Efficient Deep Multi-Task Learning Ximeng Sun, Rameswar Panda, Rogerio Feris, Kate Saenko

NeurIPS 2020 Auxiliary Task Reweighting for Minimum-Data Learning Baifeng Shi, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu

ECCV 2020 COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder Kuniaki Saito, Kate Saenko, Ming-Yu Liu

ECCVW 2020 Class-Imbalanced Domain Adaptation: An Empirical Odyssey Shuhan Tan, Xingchao Peng, Kate Saenko

WACV 2020 DIPNet: Dynamic Identity Propagation Network for Video Object Segmentation Ping Hu, Jun Liu, Gang Wang, Vitaly Ablavsky, Kate Saenko, Stan Sclaroff

ECCV 2020 Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation Xingchao Peng, Yichen Li, Kate Saenko

ICLR 2020 Federated Adversarial Domain Adaptation Xingchao Peng, Zijun Huang, Yizhe Zhu, Kate Saenko

ECCV 2020 Learning to Scale Multilingual Representations for Vision-Language Tasks Andrea Burns, Donghyun Kim, Derry Wijaya, Kate Saenko, Bryan A. Plummer

NeurIPS 2020 Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment Ben Usman, Avneesh Sud, Nick Dufour, Kate Saenko

AAAI 2020 MULE: Multimodal Universal Language Embedding Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer

WACV 2020 TwoStreamVAN: Improving Motion Modeling in Video Generation Ximeng Sun, Huijuan Xu, Kate Saenko

NeurIPS 2020 Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation Ping Hu, Stan Sclaroff, Kate Saenko

NeurIPS 2020 Universal Domain Adaptation Through Self Supervision Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Kate Saenko

ECCV 2020 Why Do These Match? Explaining the Behavior of Image Similarity Models Bryan A. Plummer, Mariya I. Vasileva, Vitali Petsiuk, Kate Saenko, David Forsyth

NeurIPS 2019 Adversarial Self-Defense for Cycle-Consistent GANs Dina Bashkirova, Ben Usman, Kate Saenko

CVPRW 2019 Are CNN Predictions Based on Reasonable Evidence? Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff

ICML 2019 Domain Agnostic Learning with Disentangled Representations Xingchao Peng, Zijun Huang, Ximeng Sun, Kate Saenko

WACV 2019 Joint Event Detection and Description in Continuous Video Streams Huijuan Xu, Boyang Li, Vasili Ramanishka, Leonid Sigal, Kate Saenko

WACVW 2019 Joint Event Detection and Description in Continuous Video Streams Huijuan Xu, Boyang Li, Vasili Ramanishka, Leonid Sigal, Kate Saenko

ICLR 2019 Learning Multi-Level Hierarchies with Hindsight Andrew Levy, George Konidaris, Robert Platt, Kate Saenko

AAAI 2019 Multilevel Language and Vision Integration for Text-to-CLIP Retrieval Huijuan Xu, Kun He, Bryan A. Plummer, Leonid Sigal, Stan Sclaroff, Kate Saenko

ICLR 2018 Adversarial Dropout Regularization Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko

ICML 2018 CyCADA: Cycle-Consistent Adversarial Domain Adaptation Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei Efros, Trevor Darrell

ECCV 2018 Explainable Neural Computation via Stack Neural Module Networks Ronghang Hu, Jacob Andreas, Trevor Darrell, Kate Saenko

NeurIPS 2018 Speaker-Follower Models for Vision-and-Language Navigation Daniel Fried, Ronghang Hu, Volkan Cirik, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein, Trevor Darrell

WACV 2018 Synthetic to Real Adaptation with Generative Correlation Alignment Networks Xingchao Peng, Kate Saenko

CVPRW 2018 VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation Xingchao Peng, Ben Usman, Neela Kaushik, Dequan Wang, Judy Hoffman, Kate Saenko

ECCV 2018 Women Also Snowboard: Overcoming Bias in Captioning Models Lisa Anne Hendricks, Kaylee Burns, Kate Saenko, Trevor Darrell, Anna Rohrbach

CVPR 2017 Adversarial Discriminative Domain Adaptation Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell

ICLR 2017 Adversarial Discriminative Domain Adaptation (workshop Extended Abstract) Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell

CVPR 2017 Captioning Images with Diverse Objects Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond Mooney, Trevor Darrell, Kate Saenko

CoRL 2017 Learning a Visuomotor Controller for Real World Robotic Grasping Using Simulated Depth Images Ulrich Viereck, Andreas ten Pas, Kate Saenko, Robert Platt Jr.

ICCV 2017 Learning to Reason: End-to-End Module Networks for Visual Question Answering Ronghang Hu, Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Kate Saenko

CVPR 2017 Modeling Relationships in Referential Expressions with Compositional Modular Networks Ronghang Hu, Marcus Rohrbach, Jacob Andreas, Trevor Darrell, Kate Saenko

ICCV 2017 R-C3D: Region Convolutional 3D Network for Temporal Activity Detection Huijuan Xu, Abir Das, Kate Saenko

CVPR 2017 Top-Down Visual Saliency Guided by Captions Vasili Ramanishka, Abir Das, Jianming Zhang, Kate Saenko

ECCV 2016 Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering Huijuan Xu, Kate Saenko

ECCV 2016 Deep CORAL: Correlation Alignment for Deep Domain Adaptation Baochen Sun, Kate Saenko

ECCVW 2016 Deep CORAL: Correlation Alignment for Deep Domain Adaptation Baochen Sun, Kate Saenko

CVPR 2016 Deep Compositional Captioning: Describing Novel Object Categories Without Paired Training Data Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond Mooney, Kate Saenko, Trevor Darrell

JMLR 2016 Large Scale Visual Recognition Through Adaptation Using Joint Representation and Multiple Instance Learning Judy Hoffman, Deepak Pathak, Eric Tzeng, Jonathan Long, Sergio Guadarrama, Trevor Darrell, Kate Saenko

CVPR 2016 Natural Language Object Retrieval Ronghang Hu, Huazhe Xu, Marcus Rohrbach, Jiashi Feng, Kate Saenko, Trevor Darrell

AAAI 2016 Return of Frustratingly Easy Domain Adaptation Baochen Sun, Jiashi Feng, Kate Saenko

CVPR 2015 Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning Judy Hoffman, Deepak Pathak, Trevor Darrell, Kate Saenko

ICCV 2015 Learning Deep Object Detectors from 3D Models Xingchao Peng, Baochen Sun, Karim Ali, Kate Saenko

CVPR 2015 Long-Term Recurrent Convolutional Networks for Visual Recognition and Description Jeffrey Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Kate Saenko, Trevor Darrell

ICCV 2015 Sequence to Sequence - Video to Text Subhashini Venugopalan, Marcus Rohrbach, Jeffrey Donahue, Raymond Mooney, Trevor Darrell, Kate Saenko

ICCV 2015 Simultaneous Deep Transfer Across Domains and Tasks Eric Tzeng, Judy Hoffman, Trevor Darrell, Kate Saenko

ICCV 2015 Spatial Semantic Regularisation for Large Scale Object Detection Damian Mrowca, Marcus Rohrbach, Judy Hoffman, Ronghang Hu, Kate Saenko, Trevor Darrell

ICLR 2015 What Do Deep CNNs Learn About Objects? Xingchao Peng, Baochen Sun, Karim Ali, Kate Saenko

CVPR 2014 Confidence-Rated Multiple Instance Boosting for Object Detection Karim Ali, Kate Saenko

CVPR 2014 Continuous Manifold Based Adaptation for Evolving Visual Domains Judy Hoffman, Trevor Darrell, Kate Saenko

NeurIPS 2014 LSDA: Large Scale Detection Through Adaptation Judy Hoffman, Sergio Guadarrama, Eric S Tzeng, Ronghang Hu, Jeff Donahue, Ross Girshick, Trevor Darrell, Kate Saenko

ICLR 2014 One-Shot Adaptation of Supervised Deep Convolutional Models Judy Hoffman, Eric Tzeng, Jeff Donahue, Yangqing Jia, Kate Saenko, Trevor Darrell

ICLR 2013 Efficient Learning of Domain-Invariant Image Representations Judy Hoffman, Erik Rodner, Jeff Donahue, Kate Saenko, Trevor Darrell

AAAI 2013 Generating Natural-Language Video Descriptions Using Text-Mined Knowledge Niveda Krishnamoorthy, Girish Malkarnenkar, Raymond J. Mooney, Kate Saenko, Sergio Guadarrama

CVPR 2013 Semi-Supervised Domain Adaptation with Instance Constraints Jeff Donahue, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell

ICCV 2013 YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition Sergio Guadarrama, Niveda Krishnamoorthy, Girish Malkarnenkar, Subhashini Venugopalan, Raymond Mooney, Trevor Darrell, Kate Saenko

CVPR 2012 A Combined Pose, Object, and Feature Model for Action Understanding Benjamin Packer, Kate Saenko, Daphne Koller

ECCV 2012 Discovering Latent Domains for Multisource Domain Adaptation Judy Hoffman, Brian Kulis, Trevor Darrell, Kate Saenko

CVPR 2012 From Pixels to Physics: Probabilistic Color De-Rendering Ying Xiong, Kate Saenko, Trevor Darrell, Todd E. Zickler

CVPR 2011 Learning Object Color Models from Multi-View Constraints Trevor Owens, Kate Saenko, Ayan Chakrabarti, Ying Xiong, Todd E. Zickler, Trevor Darrell

ICCV 2011 The NBNN Kernel Tinne Tuytelaars, Mario Fritz, Kate Saenko, Trevor Darrell

CVPR 2011 What You Saw Is Not What You Get: Domain Adaptation Using Asymmetric Kernel Transforms Brian Kulis, Kate Saenko, Trevor Darrell

ECCV 2010 Adapting Visual Category Models to New Domains Kate Saenko, Brian Kulis, Mario Fritz, Trevor Darrell

NeurIPS 2010 Size Matters: Metric Visual Search Constraints from Monocular Metadata Mario Fritz, Kate Saenko, Trevor Darrell

NeurIPS 2009 Filtering Abstract Senses from Image Search Results Kate Saenko, Trevor Darrell

NeurIPS 2008 Unsupervised Learning of Visual Sense Models for Polysemous Words Kate Saenko, Trevor Darrell

ICCV 2005 Visual Speech Recognition with Loosely Synchronized Feature Streams Kate Saenko, Karen Livescu, Michael Siracusa, Kevin W. Wilson, James R. Glass, Trevor Darrell