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Kate Saenko
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Publications
- 2022
- [c152]Kuniaki Saito, Ping Hu, Trevor Darrell, Kate Saenko:
Learning to Detect Every Thing in an Open World. ECCV (24) 2022: 268-284 - [i136]Julius Frost, Olivia Watkins, Eric Weiner, Pieter Abbeel, Trevor Darrell, Bryan A. Plummer, Kate Saenko:
Explaining Reinforcement Learning Policies through Counterfactual Trajectories. CoRR abs/2201.12462 (2022) - 2021
- [c128]Baifeng Shi, Qi Dai, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu:
Temporal Action Detection with Multi-level Supervision. ICCV 2021: 8002-8012 - [c124]Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko:
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density. ICCV 2021: 9164-9173 - [i104]Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko:
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density. CoRR abs/2108.10860 (2021) - [i98]Kuniaki Saito, Ping Hu, Trevor Darrell, Kate Saenko:
Learning to Detect Every Thing in an Open World. CoRR abs/2112.01698 (2021) - 2020
- [c97]Baifeng Shi, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu:
Auxiliary Task Reweighting for Minimum-data Learning. NeurIPS 2020 - [i91]Huijuan Xu, Ximeng Sun, Eric Tzeng, Abir Das, Kate Saenko, Trevor Darrell:
Revisiting Few-shot Activity Detection with Class Similarity Control. CoRR abs/2004.00137 (2020) - [i90]Huijuan Xu, Lizhi Yang, Stan Sclaroff, Kate Saenko, Trevor Darrell:
Spatio-Temporal Action Detection with Multi-Object Interaction. CoRR abs/2004.00180 (2020) - [i79]Baifeng Shi, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu:
Auxiliary Task Reweighting for Minimum-data Learning. CoRR abs/2010.08244 (2020) - [i77]Baifeng Shi, Qi Dai, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu:
Temporal Action Detection with Multi-level Supervision. CoRR abs/2011.11893 (2020) - 2019
- [c91]Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko:
Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation. ACL (1) 2019: 6551-6557 - [c85]Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Trevor Darrell, Kate Saenko:
Semi-Supervised Domain Adaptation via Minimax Entropy. ICCV 2019: 8049-8057 - [c83]Ronghang Hu, Anna Rohrbach, Trevor Darrell, Kate Saenko:
Language-Conditioned Graph Networks for Relational Reasoning. ICCV 2019: 10293-10302 - [i70]Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Trevor Darrell, Kate Saenko:
Semi-supervised Domain Adaptation via Minimax Entropy. CoRR abs/1904.06487 (2019) - [i68]Ronghang Hu, Anna Rohrbach, Trevor Darrell, Kate Saenko:
Language-Conditioned Graph Networks for Relational Reasoning. CoRR abs/1905.04405 (2019) - [i66]Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko:
Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation. CoRR abs/1906.00347 (2019) - 2018
- [c73]Ronghang Hu, Jacob Andreas, Trevor Darrell, Kate Saenko:
Explainable Neural Computation via Stack Neural Module Networks. ECCV (7) 2018: 55-71 - [c72]Lisa Anne Hendricks, Kaylee Burns, Kate Saenko, Trevor Darrell, Anna Rohrbach:
Women Also Snowboard: Overcoming Bias in Captioning Models. ECCV (3) 2018: 793-811 - [c71]Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, Trevor Darrell, Kate Saenko:
Object Hallucination in Image Captioning. EMNLP 2018: 4035-4045 - [c68]Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell:
CyCADA: Cycle-Consistent Adversarial Domain Adaptation. ICML 2018: 1994-2003 - [c66]Daniel Fried, Ronghang Hu, Volkan Cirik, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein, Trevor Darrell:
Speaker-Follower Models for Vision-and-Language Navigation. NeurIPS 2018: 3318-3329 - [i53]Daniel Fried, Ronghang Hu, Volkan Cirik, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein, Trevor Darrell:
Speaker-Follower Models for Vision-and-Language Navigation. CoRR abs/1806.02724 (2018) - [i49]Lisa Anne Hendricks, Kaylee Burns, Kate Saenko, Trevor Darrell, Anna Rohrbach:
Women also Snowboard: Overcoming Bias in Captioning Models (Extended Abstract). CoRR abs/1807.00517 (2018) - [i48]Ronghang Hu, Jacob Andreas, Trevor Darrell, Kate Saenko:
Explainable Neural Computation via Stack Neural Module Networks. CoRR abs/1807.08556 (2018) - [i46]Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, Trevor Darrell, Kate Saenko:
Object Hallucination in Image Captioning. CoRR abs/1809.02156 (2018) - [i43]Eric Tzeng, Kaylee Burns, Kate Saenko, Trevor Darrell:
SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection. CoRR abs/1812.00929 (2018) - [i38]Huijuan Xu, Bingyi Kang, Ximeng Sun, Jiashi Feng, Kate Saenko, Trevor Darrell:
Similarity R-C3D for Few-shot Temporal Activity Detection. CoRR abs/1812.10000 (2018) - 2017
- [j6]Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, Subhashini Venugopalan, Sergio Guadarrama, Kate Saenko, Trevor Darrell:
Long-Term Recurrent Convolutional Networks for Visual Recognition and Description. IEEE Trans. Pattern Anal. Mach. Intell. 39(4): 677-691 (2017) - [c63]Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond J. Mooney, Trevor Darrell, Kate Saenko:
Captioning Images with Diverse Objects. CVPR 2017: 1170-1178 - [c62]Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell:
Adversarial Discriminative Domain Adaptation. CVPR 2017: 2962-2971 - [c60]Ronghang Hu, Marcus Rohrbach, Jacob Andreas, Trevor Darrell, Kate Saenko:
Modeling Relationships in Referential Expressions with Compositional Modular Networks. CVPR 2017: 4418-4427 - [c59]Ronghang Hu, Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Kate Saenko:
Learning to Reason: End-to-End Module Networks for Visual Question Answering. ICCV 2017: 804-813 - [c56]Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell:
Adversarial Discriminative Domain Adaptation (workshop extended abstract). ICLR (Workshop) 2017 - [p2]Judy Hoffman, Eric Tzeng, Trevor Darrell, Kate Saenko:
Simultaneous Deep Transfer Across Domains and Tasks. Domain Adaptation in Computer Vision Applications 2017: 173-187 - [i36]Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell:
Adversarial Discriminative Domain Adaptation. CoRR abs/1702.05464 (2017) - [i34]Ronghang Hu, Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Kate Saenko:
Learning to Reason: End-to-End Module Networks for Visual Question Answering. CoRR abs/1704.05526 (2017) - [i28]Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell:
CyCADA: Cycle-Consistent Adversarial Domain Adaptation. CoRR abs/1711.03213 (2017) - 2016
- [j5]Sergio Guadarrama, Erik Rodner, Kate Saenko, Trevor Darrell:
Understanding object descriptions in robotics by open-vocabulary object retrieval and detection. Int. J. Robotics Res. 35(1-3): 265-280 (2016) - [j4]Judy Hoffman, Deepak Pathak, Eric Tzeng, Jonathan Long, Sergio Guadarrama, Trevor Darrell, Kate Saenko:
Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning. J. Mach. Learn. Res. 17: 142:1-142:31 (2016) - [c52]Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko, Trevor Darrell:
Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data. CVPR 2016: 1-10 - [c51]Ronghang Hu, Huazhe Xu, Marcus Rohrbach, Jiashi Feng, Kate Saenko, Trevor Darrell:
Natural Language Object Retrieval. CVPR 2016: 4555-4564 - [c43]Eric Tzeng, Coline Devin, Judy Hoffman, Chelsea Finn, Pieter Abbeel, Sergey Levine, Kate Saenko, Trevor Darrell:
Adapting Deep Visuomotor Representations with Weak Pairwise Constraints. WAFR 2016: 688-703 - [i23]Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond J. Mooney, Trevor Darrell, Kate Saenko:
Captioning Images with Diverse Objects. CoRR abs/1606.07770 (2016) - [i20]Ronghang Hu, Marcus Rohrbach, Jacob Andreas, Trevor Darrell, Kate Saenko:
Modeling Relationships in Referential Expressions with Compositional Modular Networks. CoRR abs/1611.09978 (2016) - 2015
- [c41]Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Trevor Darrell, Kate Saenko:
Long-term recurrent convolutional networks for visual recognition and description. CVPR 2015: 2625-2634 - [c40]Judy Hoffman, Deepak Pathak, Trevor Darrell, Kate Saenko:
Detector discovery in the wild: Joint multiple instance and representation learning. CVPR 2015: 2883-2891 - [c38]Damian Mrowca, Marcus Rohrbach, Judy Hoffman, Ronghang Hu, Kate Saenko, Trevor Darrell:
Spatial Semantic Regularisation for Large Scale Object Detection. ICCV 2015: 2003-2011 - [c37]Eric Tzeng, Judy Hoffman, Trevor Darrell, Kate Saenko:
Simultaneous Deep Transfer Across Domains and Tasks. ICCV 2015: 4068-4076 - [c36]Subhashini Venugopalan, Marcus Rohrbach, Jeffrey Donahue, Raymond J. Mooney, Trevor Darrell, Kate Saenko:
Sequence to Sequence - Video to Text. ICCV 2015: 4534-4542 - [i17]Subhashini Venugopalan, Marcus Rohrbach, Jeff Donahue, Raymond J. Mooney, Trevor Darrell, Kate Saenko:
Sequence to Sequence - Video to Text. CoRR abs/1505.00487 (2015) - [i15]Eric Tzeng, Judy Hoffman, Trevor Darrell, Kate Saenko:
Simultaneous Deep Transfer Across Domains and Tasks. CoRR abs/1510.02192 (2015) - [i14]Damian Mrowca, Marcus Rohrbach, Judy Hoffman, Ronghang Hu, Kate Saenko, Trevor Darrell:
Spatial Semantic Regularisation for Large Scale Object Detection. CoRR abs/1510.02949 (2015) - [i13]Ronghang Hu, Huazhe Xu, Marcus Rohrbach, Jiashi Feng, Kate Saenko, Trevor Darrell:
Natural Language Object Retrieval. CoRR abs/1511.04164 (2015) - [i11]Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko, Trevor Darrell:
Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data. CoRR abs/1511.05284 (2015) - [i9]Eric Tzeng, Coline Devin, Judy Hoffman, Chelsea Finn, Xingchao Peng, Sergey Levine, Kate Saenko, Trevor Darrell:
Towards Adapting Deep Visuomotor Representations from Simulated to Real Environments. CoRR abs/1511.07111 (2015) - 2014
- [j2]Ayan Chakrabarti, Ying Xiong, Baochen Sun, Trevor Darrell, Daniel Scharstein, Todd E. Zickler, Kate Saenko:
Modeling Radiometric Uncertainty for Vision with Tone-Mapped Color Images. IEEE Trans. Pattern Anal. Mach. Intell. 36(11): 2185-2198 (2014) - [c31]Judy Hoffman, Trevor Darrell, Kate Saenko:
Continuous Manifold Based Adaptation for Evolving Visual Domains. CVPR 2014: 867-874 - [c29]Daniel Goehring, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell:
Interactive adaptation of real-time object detectors. ICRA 2014: 1282-1289 - [c28]Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Ronghang Hu, Jeff Donahue, Ross B. Girshick, Trevor Darrell, Kate Saenko:
LSDA: Large Scale Detection through Adaptation. NIPS 2014: 3536-3544 - [c27]Sergio Guadarrama, Erik Rodner, Kate Saenko, Ning Zhang, Ryan Farrell, Jeff Donahue, Trevor Darrell:
Open-vocabulary Object Retrieval. Robotics: Science and Systems 2014 - [c26]Judy Hoffman, Eric Tzeng, Jeff Donahue, Yangqing Jia, Kate Saenko, Trevor Darrell:
One-Shot Adaptation of Supervised Deep Convolutional Models. ICLR (Workshop Poster) 2014 - [i8]Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Jeff Donahue, Ross B. Girshick, Trevor Darrell, Kate Saenko:
LSDA: Large Scale Detection Through Adaptation. CoRR abs/1407.5035 (2014) - [i7]Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Kate Saenko, Trevor Darrell:
Long-term Recurrent Convolutional Networks for Visual Recognition and Description. CoRR abs/1411.4389 (2014) - [i6]Judy Hoffman, Deepak Pathak, Trevor Darrell, Kate Saenko:
Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning. CoRR abs/1412.1135 (2014) - [i5]Eric Tzeng, Judy Hoffman, Ning Zhang, Kate Saenko, Trevor Darrell:
Deep Domain Confusion: Maximizing for Domain Invariance. CoRR abs/1412.3474 (2014) - 2013
- [c24]Jeff Donahue, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell:
Semi-supervised Domain Adaptation with Instance Constraints. CVPR 2013: 668-675 - [c23]Sergio Guadarrama, Niveda Krishnamoorthy, Girish Malkarnenkar, Subhashini Venugopalan, Raymond J. Mooney, Trevor Darrell, Kate Saenko:
YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition. ICCV 2013: 2712-2719 - [c21]Judy Hoffman, Erik Rodner, Jeff Donahue, Kate Saenko, Trevor Darrell:
Efficient Learning of Domain-invariant Image Representations. ICLR (Poster) 2013 - [p1]Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell:
A Category-Level 3D Object Dataset: Putting the Kinect to Work. Consumer Depth Cameras for Computer Vision 2013: 141-165 - [i2]Erik Rodner, Judy Hoffman, Jeff Donahue, Trevor Darrell, Kate Saenko:
Towards Adapting ImageNet to Reality: Scalable Domain Adaptation with Implicit Low-rank Transformations. CoRR abs/1308.4200 (2013) - [i1]Ayan Chakrabarti, Ying Xiong, Baochen Sun, Trevor Darrell, Daniel Scharstein, Todd E. Zickler, Kate Saenko:
Modeling Radiometric Uncertainty for Vision with Tone-mapped Color Images. CoRR abs/1311.6887 (2013) - 2012
- [c20]Ying Xiong, Kate Saenko, Trevor Darrell, Todd E. Zickler:
From pixels to physics: Probabilistic color de-rendering. CVPR 2012: 358-365 - [c18]Judy Hoffman, Brian Kulis, Trevor Darrell, Kate Saenko:
Discovering Latent Domains for Multisource Domain Adaptation. ECCV (2) 2012: 702-715 - 2011
- [c17]Trevor Owens, Kate Saenko, Ayan Chakrabarti, Ying Xiong, Todd E. Zickler, Trevor Darrell:
Learning object color models from multi-view constraints. CVPR 2011: 169-176 - [c16]Brian Kulis, Kate Saenko, Trevor Darrell:
What you saw is not what you get: Domain adaptation using asymmetric kernel transforms. CVPR 2011: 1785-1792 - [c15]Tinne Tuytelaars, Mario Fritz, Kate Saenko, Trevor Darrell:
The NBNN kernel. ICCV 2011: 1824-1831 - [c14]Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell:
A category-level 3-D object dataset: Putting the Kinect to work. ICCV Workshops 2011: 1168-1174 - [c13]Kate Saenko, Sergey Karayev, Yangqing Jia, Alex Shyr, Allison Janoch, Jonathan Long, Mario Fritz, Trevor Darrell:
Practical 3-D object detection using category and instance-level appearance models. IROS 2011: 793-800 - 2010
- [c12]Kate Saenko, Brian Kulis, Mario Fritz, Trevor Darrell:
Adapting Visual Category Models to New Domains. ECCV (4) 2010: 213-226 - [c11]Mario Fritz, Kate Saenko, Trevor Darrell:
Size Matters: Metric Visual Search Constraints from Monocular Metadata. NIPS 2010: 622-630 - 2009
- [j1]Kate Saenko, Karen Livescu, James R. Glass, Trevor Darrell:
Multistream Articulatory Feature-Based Models for Visual Speech Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 31(9): 1700-1707 (2009) - [c10]Kate Saenko, Trevor Darrell:
Filtering Abstract Senses From Image Search Results. NIPS 2009: 1589-1597 - 2008
- [c9]Kate Saenko, Trevor Darrell:
Unsupervised Learning of Visual Sense Models for Polysemous Words. NIPS 2008: 1393-1400 - 2007
- [c7]Kate Saenko, Trevor Darrell:
Object Category Recognition Using Probabilistic Fusion of Speech and Image Classifiers. MLMI 2007: 36-47 - 2006
- [c6]C. Mario Christoudias, Kate Saenko, Louis-Philippe Morency, Trevor Darrell:
Co-Adaptation of audio-visual speech and gesture classifiers. ICMI 2006: 84-91 - 2005
- [c4]Kate Saenko, Karen Livescu, James R. Glass, Trevor Darrell:
Production domain modeling of pronunciation for visual speech recognition. ICASSP (5) 2005: 473-476 - [c3]Kate Saenko, Karen Livescu, Michael Siracusa, Kevin W. Wilson, James R. Glass, Trevor Darrell:
Visual Speech Recognition with Loosely Synchronized Feature Streams. ICCV 2005: 1424-1431 - 2004
- [c2]Kate Saenko, Trevor Darrell, James R. Glass:
Articulatory features for robust visual speech recognition. ICMI 2004: 152-158
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