Kate Saenko
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
145
Venues
21
Active years
2004–2025
Best venue rank
A*
Where they publish
- A*CVPR36 papers
- A*ICCV27 papers
- A*ECCV21 papers
- A*ICLR12 papers
- AWACV12 papers
- A*EMNLP5 papers
- ABMVC5 papers
- A*AAAI4 papers
- A*ACL3 papers
- A*ICML3 papers
- BICMI3 papers
- A*ICRA2 papers
- BICIP2 papers
- AIROS2 papers
- MulticonferenceICASSP2 papers
- NationalMVA1 paper
- UnrankedCoRL1 paper
- BACCV1 paper
- CWAFR1 paper
- ANAACL1 paper
- BCOLING1 paper
Papers
145 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | 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 |
| 2025 | EMNLP | Scaling Up Temporal Domain Generalization via Temporal Experts Averaging. | Aoming Liu, Kevin Miller, Venkatesh Saligrama, Kate Saenko, Boqing Gong, Ser-Nam Lim, Bryan A. Plummer |
| 2025 | ICCV | SCRAMBLe: Enhancing Multimodal LLM Compositionality with Synthetic Preference Data. | Samarth Mishra, Kate Saenko, Venkatesh Saligrama |
| 2025 | ICCV | Web Artifact Attacks Disrupt Vision Language Models. | Maan Qraitem, Piotr Teterwak, Kate Saenko, Bryan A. Plummer |
| 2025 | ICLR | Is Large-scale Pretraining the Secret to Good Domain Generalization? | Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Bryan A. Plummer, Kate Saenko |
| 2025 | ICLR | 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 |
| 2025 | WACV | ERM++: An Improved Baseline for Domain Generalization. | Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis, Kate Saenko, Bryan A. Plummer |
| 2024 | ACL | Tell Me What's Next: Textual Foresight for Generic UI Representations. | Andrea Burns, Kate Saenko, Bryan A. Plummer |
| 2024 | CVPR | Koala: Key Frame-Conditioned Long Video-LLM. | Reuben Tan, Ximeng Sun, Ping Hu, Jui-Hsien Wang, Hanieh Deilamsalehy, Bryan A. Plummer, Bryan C. Russell, Kate Saenko |
| 2024 | ECCV | Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models. | Vitali Petsiuk, Kate Saenko |
| 2024 | ECCV | From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognition. | Maan Qraitem, Kate Saenko, Bryan A. Plummer |
| 2024 | WACV | Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths. | Ximeng Sun, Rameswar Panda, Chun-Fu Richard Chen, Naigang Wang, Bowen Pan, Aude Oliva, Rogrio Feris, Kate Saenko |
| 2024 | WACV | Learning to Compose SuperWeights for Neural Parameter Allocation Search. | Piotr Teterwak, Soren Nelson, Nikoli Dryden, Dina Bashkirova, Kate Saenko, Bryan A. Plummer |
| 2023 | CVPR | MaskSketch: Unpaired Structure-guided Masked Image Generation. | Dina Bashkirova, Jos Lezama, Kihyuk Sohn, Kate Saenko, Irfan Essa |
| 2023 | CVPR | Bias Mimicking: A Simple Sampling Approach for Bias Mitigation. | Maan Qraitem, Kate Saenko, Bryan A. Plummer |
| 2023 | CVPR | Prefix Conditioning Unifies Language and Label Supervision. | Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister |
| 2023 | CVPR | 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 |
| 2023 | CVPR | Language-Guided Audio-Visual Source Separation via Trimodal Consistency. | Reuben Tan, Arijit Ray, Andrea Burns, Bryan A. Plummer, Justin Salamon, Oriol Nieto, Bryan C. Russell, Kate Saenko |
| 2023 | EMNLP | A Suite of Generative Tasks for Multi-Level Multimodal Webpage Understanding. | Andrea Burns, Krishna Srinivasan, Joshua Ainslie, Geoff Brown, Bryan A. Plummer, Kate Saenko, Jianmo Ni, Mandy Guo |
| 2023 | ICCV | DIME-FM : DIstilling Multimodal and Efficient Foundation Models. | Ximeng Sun, Pengchuan Zhang, Peizhao Zhang, Hardik Shah, Kate Saenko, Xide Xia |
| 2023 | WACV | Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation. | Aadarsh Sahoo, Rameswar Panda, Rogrio Feris, Kate Saenko, Abir Das |
| 2023 | WACV | RIFT: Disentangled Unsupervised Image Translation via Restricted Information Flow. | Ben Usman, Dina Bashkirova, Kate Saenko |
| 2022 | CVPR | ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes. | Dina Bashkirova, Mohamed Abdelfattah, Ziliang Zhu, James Akl, Fadi M. Alladkani, Ping Hu, Vitaly Ablavsky, Berk alli, Sarah Adel Bargal, Kate Saenko |
| 2022 | CVPR | Unsupervised Domain Generalization by Learning a Bridge Across Domains. | 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, Rogrio Feris, Leonid Karlinsky |
| 2022 | CVPR | Many-to-many Splatting for Efficient Video Frame Interpolation. | Ping Hu, Simon Niklaus, Stan Sclaroff, Kate Saenko |
| 2022 | CVPR | Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data. | Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Richard Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogrio Schmidt Feris |
| 2022 | CVPR | MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision. | Ben Usman, Andrea Tagliasacchi, Kate Saenko, Avneesh Sud |
| 2022 | ECCV | A Dataset for Interactive Vision-Language Navigation with Unknown Command Feasibility. | Andrea Burns, Deniz Arsan, Sanjna Agrawal, Ranjitha Kumar, Kate Saenko, Bryan A. Plummer |
| 2022 | ECCV | 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 |
| 2022 | ECCV | A Unified Framework for Domain Adaptive Pose Estimation. | Donghyun Kim, Kaihong Wang, Kate Saenko, Margrit Betke, Stan Sclaroff |
| 2022 | ECCV | A Broad Study of Pre-training for Domain Generalization and Adaptation. | Donghyun Kim, Kaihong Wang, Stan Sclaroff, Kate Saenko |
| 2022 | ECCV | Learning to Detect Every Thing in an Open World. | Kuniaki Saito, Ping Hu, Trevor Darrell, Kate Saenko |
| 2022 | ECCV | NewsStories: Illustrating Articles with Visual Summaries. | Reuben Tan, Bryan A. Plummer, Kate Saenko, J. P. Lewis, Avneesh Sud, Thomas Leung |
| 2022 | ICLR | Multi-Critic Actor Learning: Teaching RL Policies to Act with Style. | Siddharth Mysore, George Cheng, Yunqi Zhao, Kate Saenko, Meng Wu |
| 2022 | ICLR | Neural Parameter Allocation Search. | Bryan A. Plummer, Nikoli Dryden, Julius Frost, Torsten Hoefler, Kate Saenko |
| 2022 | ICLR | 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 |
| 2022 | WACV | Evaluation of Correctness in Unsupervised Many-to-Many Image Translation. | Dina Bashkirova, Ben Usman, Kate Saenko |
| 2021 | BMVC | Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency. | Samarth Mishra, Kate Saenko, Venkatesh Saligrama |
| 2021 | CVPR | Fine-Grained Angular Contrastive Learning With Coarse Labels. | Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogrio Feris, Raja Giryes, Leonid Karlinsky |
| 2021 | CVPR | Black-Box Explanation of Object Detectors via Saliency Maps. | Vitali Petsiuk, Rajiv Jain, Varun Manjunatha, Vlad I. Morariu, Ashutosh Mehra, Vicente Ordonez, Kate Saenko |
| 2021 | CVPR | Semi-Supervised Action Recognition With Temporal Contrastive Learning. | Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogrio Feris, Kate Saenko, Abir Das |
| 2021 | CVPR | Separating Skills and Concepts for Novel Visual Question Answering. | Spencer Whitehead, Hui Wu, Heng Ji, Rogrio Feris, Kate Saenko |
| 2021 | CVPR | Explainable Deep Classification Models for Domain Generalization. | Andrea Zunino, Sarah Adel Bargal, Riccardo Volpi, Mehrnoosh Sameki, Jianming Zhang, Stan Sclaroff, Vittorio Murino, Kate Saenko |
| 2021 | ICCV | 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 M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogrio Feris, Leonid Karlinsky |
| 2021 | ICCV | CDS: Cross-Domain Self-supervised Pre-training. | Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko |
| 2021 | ICCV | Learning Cross-Modal Contrastive Features for Video Domain Adaptation. | Donghyun Kim, Yi-Hsuan Tsai, Bingbing Zhuang, Xiang Yu, Stan Sclaroff, Kate Saenko, Manmohan Chandraker |
| 2021 | ICCV | AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. | Rameswar Panda, Chun-Fu (Richard) Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogrio Feris |
| 2021 | ICCV | Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings. | Viraj Prabhu, Arjun Chandrasekaran, Kate Saenko, Judy Hoffman |
| 2021 | ICCV | 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 |
| 2021 | ICCV | OVANet: One-vs-All Network for Universal Domain Adaptation. | Kuniaki Saito, Kate Saenko |
| 2021 | ICCV | Temporal Action Detection with Multi-level Supervision. | Baifeng Shi, Qi Dai, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu |
| 2021 | ICCV | Dynamic Network Quantization for Efficient Video Inference. | Ximeng Sun, Rameswar Panda, Chun-Fu (Richard) Chen, Aude Oliva, Rogrio Feris, Kate Saenko |
| 2021 | ICLR | AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition. | Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogrio Feris |
| 2021 | ICLR | VA-RED2: Video Adaptive Redundancy Reduction. | Bowen Pan, Rameswar Panda, Camilo Luciano Fosco, Chung-Ching Lin, Alex J. Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogrio Feris |
| 2021 | ICRA | Regularizing Action Policies for Smooth Control with Reinforcement Learning. | Siddharth Mysore, Bassel Mabsout, Renato Mancuso, Kate Saenko |
| 2021 | MVA | Weakly Supervised Domain Adaptation using Super-pixel labeling for Semantic Segmentation. | Masaki Yamazaki, Xingchao Peng, Kuniaki Saito, Ping Hu, Kate Saenko, Yasuhiro Taniguchi |
| 2021 | WACV | LoGAN: Latent Graph Co-Attention Network for Weakly-Supervised Video Moment Retrieval. | Reuben Tan, Huijuan Xu, Kate Saenko, Bryan A. Plummer |
| 2020 | AAAI | MULE: Multimodal Universal Language Embedding. | Donghyun Kim, Kuniaki Saito, Kate Saenko, Stan Sclaroff, Bryan A. Plummer |
| 2020 | ECCV | Learning to Scale Multilingual Representations for Vision-Language Tasks. | Andrea Burns, Donghyun Kim, Derry Wijaya, Kate Saenko, Bryan A. Plummer |
| 2020 | ECCV | A Broader Study of Cross-Domain Few-Shot Learning. | Yunhui Guo, Noel Codella, Leonid Karlinsky, James V. Codella, John R. Smith, Kate Saenko, Tajana Rosing, Rogrio Feris |
| 2020 | ECCV | AR-Net: Adaptive Frame Resolution for Efficient Action Recognition. | Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogrio Feris |
| 2020 | ECCV | Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation. | Xingchao Peng, Yichen Li, Kate Saenko |
| 2020 | ECCV | Why Do These Match? Explaining the Behavior of Image Similarity Models. | Bryan A. Plummer, Mariya I. Vasileva, Vitali Petsiuk, Kate Saenko, David A. Forsyth |
| 2020 | ECCV | COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder. | Kuniaki Saito, Kate Saenko, Ming-Yu Liu |
| 2020 | ECCV | Class-Imbalanced Domain Adaptation: An Empirical Odyssey. | Shuhan Tan, Xingchao Peng, Kate Saenko |
| 2020 | EMNLP | Detecting Cross-Modal Inconsistency to Defend Against Neural Fake News. | Reuben Tan, Bryan A. Plummer, Kate Saenko |
| 2020 | ICLR | Federated Adversarial Domain Adaptation. | Xingchao Peng, Zijun Huang, Yizhe Zhu, Kate Saenko |
| 2020 | ICML | Beyond the Visual Analysis of Deep Model Saliency. | Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Vittorio Murino, Stan Sclaroff, Kate Saenko |
| 2020 | WACV | DIPNet: Dynamic Identity Propagation Network for Video Object Segmentation. | Ping Hu, Jun Liu, Gang Wang, Vitaly Ablavsky, Kate Saenko, Stan Sclaroff |
| 2020 | WACV | TwoStreamVAN: Improving Motion Modeling in Video Generation. | Ximeng Sun, Huijuan Xu, Kate Saenko |
| 2019 | AAAI | Multilevel Language and Vision Integration for Text-to-Clip Retrieval. | Huijuan Xu, Kun He, Bryan A. Plummer, Leonid Sigal, Stan Sclaroff, Kate Saenko |
| 2019 | ACL | Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation. | Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko |
| 2019 | BMVC | Guided Zoom: Questioning Network Evidence for Fine-grained Classification. | Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff |
| 2019 | CVPR | Are CNN Predictions based on Reasonable Evidence? | Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff |
| 2019 | CVPR | Strong-Weak Distribution Alignment for Adaptive Object Detection. | Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko |
| 2019 | ICCV | Language Features Matter: Effective Language Representations for Vision-Language Tasks. | Andrea Burns, Reuben Tan, Kate Saenko, Stan Sclaroff, Bryan A. Plummer |
| 2019 | ICCV | Language-Conditioned Graph Networks for Relational Reasoning. | Ronghang Hu, Anna Rohrbach, Trevor Darrell, Kate Saenko |
| 2019 | ICCV | Moment Matching for Multi-Source Domain Adaptation. | Xingchao Peng, Qinxun Bai, Xide Xia, Zijun Huang, Kate Saenko, Bo Wang |
| 2019 | ICCV | Semi-Supervised Domain Adaptation via Minimax Entropy. | Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Trevor Darrell, Kate Saenko |
| 2019 | ICCV | Learning Similarity Conditions Without Explicit Supervision. | Reuben Tan, Mariya I. Vasileva, Kate Saenko, Bryan A. Plummer |
| 2019 | ICCV | PuppetGAN: Cross-Domain Image Manipulation by Demonstration. | Ben Usman, Nick Dufour, Kate Saenko, Chris Bregler |
| 2019 | ICLR | Learning Multi-Level Hierarchies with Hindsight. | Andrew Levy, George Dimitri Konidaris, Robert Platt Jr., Kate Saenko |
| 2019 | ICML | Domain Agnostic Learning with Disentangled Representations. | Xingchao Peng, Zijun Huang, Ximeng Sun, Kate Saenko |
| 2019 | WACV | Joint Event Detection and Description in Continuous Video Streams. | Huijuan Xu, Boyang Li, Vasili Ramanishka, Leonid Sigal, Kate Saenko |
| 2019 | WACV | Joint Event Detection and Description in Continuous Video Streams. | Huijuan Xu, Boyang Li, Vasili Ramanishka, Leonid Sigal, Kate Saenko |
| 2018 | BMVC | RISE: Randomized Input Sampling for Explanation of Black-box Models. | Vitali Petsiuk, Abir Das, Kate Saenko |
| 2018 | CVPR | VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation. | Xingchao Peng, Ben Usman, Neela Kaushik, Dequan Wang, Judy Hoffman, Kate Saenko |
| 2018 | CVPR | Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning. | Vasili Ramanishka, Yi-Ting Chen, Teruhisa Misu, Kate Saenko |
| 2018 | ECCV | Women Also Snowboard: Overcoming Bias in Captioning Models. | Lisa Anne Hendricks, Kaylee Burns, Kate Saenko, Trevor Darrell, Anna Rohrbach |
| 2018 | ECCV | Explainable Neural Computation via Stack Neural Module Networks. | Ronghang Hu, Jacob Andreas, Trevor Darrell, Kate Saenko |
| 2018 | EMNLP | Object Hallucination in Image Captioning. | Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, Trevor Darrell, Kate Saenko |
| 2018 | ICLR | Adversarial Dropout Regularization. | Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko |
| 2018 | ICLR | Stable Distribution Alignment Using the Dual of the Adversarial Distance. | Ben Usman, Kate Saenko, Brian Kulis |
| 2018 | ICML | CyCADA: Cycle-Consistent Adversarial Domain Adaptation. | Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell |
| 2018 | WACV | Synthetic to Real Adaptation with Generative Correlation Alignment Networks. | Xingchao Peng, Kate Saenko |
| 2017 | CoRL | Learning a visuomotor controller for real world robotic grasping using simulated depth images. | Ulrich Viereck, Andreas ten Pas, Kate Saenko, Robert Platt Jr. |
| 2017 | CVPR | Modeling Relationships in Referential Expressions with Compositional Modular Networks. | Ronghang Hu, Marcus Rohrbach, Jacob Andreas, Trevor Darrell, Kate Saenko |
| 2017 | CVPR | Top-Down Visual Saliency Guided by Captions. | Vasili Ramanishka, Abir Das, Jianming Zhang, Kate Saenko |
| 2017 | CVPR | Adversarial Discriminative Domain Adaptation. | Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell |
| 2017 | CVPR | Captioning Images with Diverse Objects. | Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond J. Mooney, Trevor Darrell, Kate Saenko |
| 2017 | ICCV | Learning to Reason: End-to-End Module Networks for Visual Question Answering. | Ronghang Hu, Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Kate Saenko |
| 2017 | ICCV | R-C3D: Region Convolutional 3D Network for Temporal Activity Detection. | Huijuan Xu, Abir Das, Kate Saenko |
| 2017 | ICIP | Ground2sky label transfer for fine-grained aerial car recognition. | Baochen Sun, Xingchao Peng, Stella X. Yu, Kate Saenko |
| 2017 | ICLR | Adversarial Discriminative Domain Adaptation (workshop extended abstract). | Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell |
| 2016 | AAAI | Return of Frustratingly Easy Domain Adaptation. | Baochen Sun, Jiashi Feng, Kate Saenko |
| 2016 | ACCV | Combining Texture and Shape Cues for Object Recognition with Minimal Supervision. | Xingchao Peng, Kate Saenko |
| 2016 | ACL | MUTT: Metric Unit TesTing for Language Generation Tasks. | William Boag, Renan Campos, Kate Saenko, Anna Rumshisky |
| 2016 | CVPR | Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data. | Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko, Trevor Darrell |
| 2016 | CVPR | Natural Language Object Retrieval. | Ronghang Hu, Huazhe Xu, Marcus Rohrbach, Jiashi Feng, Kate Saenko, Trevor Darrell |
| 2016 | ECCV | Deep CORAL: Correlation Alignment for Deep Domain Adaptation. | Baochen Sun, Kate Saenko |
| 2016 | ECCV | Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering. | Huijuan Xu, Kate Saenko |
| 2016 | EMNLP | Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text. | Subhashini Venugopalan, Lisa Anne Hendricks, Raymond J. Mooney, Kate Saenko |
| 2016 | ICIP | Fine-to-coarse knowledge transfer for low-res image classification. | Xingchao Peng, Judy Hoffman, Stella X. Yu, Kate Saenko |
| 2016 | IROS | High precision grasp pose detection in dense clutter. | Marcus Gualtieri, Andreas ten Pas, Kate Saenko, Robert Platt Jr. |
| 2016 | WAFR | Adapting Deep Visuomotor Representations with Weak Pairwise Constraints. | Eric Tzeng, Coline Devin, Judy Hoffman, Chelsea Finn, Pieter Abbeel, Sergey Levine, Kate Saenko, Trevor Darrell |
| 2015 | BMVC | Subspace Distribution Alignment for Unsupervised Domain Adaptation. | Baochen Sun, Kate Saenko |
| 2015 | CVPR | Long-term recurrent convolutional networks for visual recognition and description. | Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Trevor Darrell, Kate Saenko |
| 2015 | CVPR | Detector discovery in the wild: Joint multiple instance and representation learning. | Judy Hoffman, Deepak Pathak, Trevor Darrell, Kate Saenko |
| 2015 | ICCV | Spatial Semantic Regularisation for Large Scale Object Detection. | Damian Mrowca, Marcus Rohrbach, Judy Hoffman, Ronghang Hu, Kate Saenko, Trevor Darrell |
| 2015 | ICCV | Learning Deep Object Detectors from 3D Models. | Xingchao Peng, Baochen Sun, Karim Ali, Kate Saenko |
| 2015 | ICCV | Simultaneous Deep Transfer Across Domains and Tasks. | Eric Tzeng, Judy Hoffman, Trevor Darrell, Kate Saenko |
| 2015 | ICCV | Sequence to Sequence - Video to Text. | Subhashini Venugopalan, Marcus Rohrbach, Jeffrey Donahue, Raymond J. Mooney, Trevor Darrell, Kate Saenko |
| 2015 | NAACL | Translating Videos to Natural Language Using Deep Recurrent Neural Networks. | Subhashini Venugopalan, Huijuan Xu, Jeff Donahue, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko |
| 2014 | BMVC | From Virtual to Reality: Fast Adaptation of Virtual Object Detectors to Real Domains. | Baochen Sun, Kate Saenko |
| 2014 | COLING | Integrating Language and Vision to Generate Natural Language Descriptions of Videos in the Wild. | Jesse Thomason, Subhashini Venugopalan, Sergio Guadarrama, Kate Saenko, Raymond J. Mooney |
| 2014 | CVPR | Confidence-Rated Multiple Instance Boosting for Object Detection. | Karim Ali, Kate Saenko |
| 2014 | CVPR | Continuous Manifold Based Adaptation for Evolving Visual Domains. | Judy Hoffman, Trevor Darrell, Kate Saenko |
| 2014 | ICRA | Interactive adaptation of real-time object detectors. | Daniel Goehring, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell |
| 2013 | AAAI | Generating Natural-Language Video Descriptions Using Text-Mined Knowledge. | Niveda Krishnamoorthy, Girish Malkarnenkar, Raymond J. Mooney, Kate Saenko, Sergio Guadarrama |
| 2013 | CVPR | Semi-supervised Domain Adaptation with Instance Constraints. | Jeff Donahue, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell |
| 2013 | ICCV | YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition. | Sergio Guadarrama, Niveda Krishnamoorthy, Girish Malkarnenkar, Subhashini Venugopalan, Raymond J. Mooney, Trevor Darrell, Kate Saenko |
| 2012 | CVPR | A combined pose, object, and feature model for action understanding. | Benjamin Packer, Kate Saenko, Daphne Koller |
| 2012 | CVPR | From pixels to physics: Probabilistic color de-rendering. | Ying Xiong, Kate Saenko, Trevor Darrell, Todd E. Zickler |
| 2012 | ECCV | Discovering Latent Domains for Multisource Domain Adaptation. | Judy Hoffman, Brian Kulis, Trevor Darrell, Kate Saenko |
| 2011 | CVPR | What you saw is not what you get: Domain adaptation using asymmetric kernel transforms. | Brian Kulis, Kate Saenko, Trevor Darrell |
| 2011 | CVPR | Learning object color models from multi-view constraints. | Trevor Owens, Kate Saenko, Ayan Chakrabarti, Ying Xiong, Todd E. Zickler, Trevor Darrell |
| 2011 | ICCV | The NBNN kernel. | Tinne Tuytelaars, Mario Fritz, Kate Saenko, Trevor Darrell |
| 2011 | IROS | Practical 3-D object detection using category and instance-level appearance models. | Kate Saenko, Sergey Karayev, Yangqing Jia, Alex Shyr, Allison Janoch, Jonathan Long, Mario Fritz, Trevor Darrell |
| 2010 | ECCV | Adapting Visual Category Models to New Domains. | Kate Saenko, Brian Kulis, Mario Fritz, Trevor Darrell |
| 2007 | ICASSP | Articulatory Feature-Based Methods for Acoustic and Audio-Visual Speech Recognition: Summary from the 2006 JHU Summer workshop. | Karen Livescu, zgr etin, 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 |
| 2006 | ICMI | Co-Adaptation of audio-visual speech and gesture classifiers. | C. Mario Christoudias, Kate Saenko, Louis-Philippe Morency, Trevor Darrell |
| 2005 | ICASSP | Production domain modeling of pronunciation for visual speech recognition. | Kate Saenko, Karen Livescu, James R. Glass, Trevor Darrell |
| 2005 | ICCV | Visual Speech Recognition with Loosely Synchronized Feature Streams. | Kate Saenko, Karen Livescu, Michael Siracusa, Kevin W. Wilson, James R. Glass, Trevor Darrell |
| 2004 | ICMI | A segment-based audio-visual speech recognizer: data collection, development, and initial experiments. | Timothy J. Hazen, Kate Saenko, Chia-Hao La, James R. Glass |
| 2004 | ICMI | Articulatory features for robust visual speech recognition. | Kate Saenko, Trevor Darrell, James R. Glass |