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ORCIDTrevor Darrell
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- affiliation: University of California, Berkeley
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2020 – today
- 2020
[j45]Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell:
Compositional GAN: Learning Image-Conditional Binary Composition. Int. J. Comput. Vis. 128(10): 2570-2585 (2020)- [j44]Marcel Simon
, Erik Rodner, Trevor Darrell, Joachim Denzler:
The Whole Is More Than Its Parts? From Explicit to Implicit Pose Normalization. IEEE Trans. Pattern Anal. Mach. Intell. 42(3): 749-763 (2020) - [c314]Joanna Materzynska, Tete Xiao, Roei Herzig, Huijuan Xu, Xiaolong Wang, Trevor Darrell:
Something-Else: Compositional Action Recognition With Spatial-Temporal Interaction Networks. CVPR 2020: 1046-1056 - [c313]Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, Trevor Darrell:
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning. CVPR 2020: 2633-2642 - [c312]Jinkyu Kim, Suhong Moon, Anna Rohrbach, Trevor Darrell, John F. Canny:
Advisable Learning for Self-Driving Vehicles by Internalizing Observation-to-Action Rules. CVPR 2020: 9658-9667 - [c311]Ronghang Hu, Amanpreet Singh, Trevor Darrell, Marcus Rohrbach:
Iterative Answer Prediction With Pointer-Augmented Multimodal Transformers for TextVQA. CVPR 2020: 9989-9999 - [c310]Yanzhao Zhou, Xin Wang, Jianbin Jiao, Trevor Darrell, Fisher Yu:
Learning Saliency Propagation for Semi-Supervised Instance Segmentation. CVPR 2020: 10304-10313 - [c309]Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Xiaolong Wang, Trevor Darrell:
Hierarchical Style-Based Networks for Motion Synthesis. ECCV (11) 2020: 178-194 - [c308]Roei Herzig, Amir Bar, Huijuan Xu, Gal Chechik, Trevor Darrell, Amir Globerson:
Learning Canonical Representations for Scene Graph to Image Generation. ECCV (26) 2020: 210-227 - [c307]Jae Sung Park, Trevor Darrell, Anna Rohrbach:
Identity-Aware Multi-sentence Video Description. ECCV (21) 2020: 360-378 - [c306]Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach:
Adversarial Continual Learning. ECCV (11) 2020: 386-402 - [c305]Medhini Narasimhan, Erik Wijmans, Xinlei Chen, Trevor Darrell, Dhruv Batra, Devi Parikh, Amanpreet Singh:
Seeing the Un-Scene: Learning Amodal Semantic Maps for Room Navigation. ECCV (18) 2020: 513-529 - [c304]Zhekun Luo, Devin Guillory, Baifeng Shi, Wei Ke, Fang Wan, Trevor Darrell, Huijuan Xu:
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning. ECCV (29) 2020: 729-745 - [c303]Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach:
Uncertainty-guided Continual Learning with Bayesian Neural Networks. ICLR 2020 - [c302]Xin Wang, Thomas E. Huang, Joseph Gonzalez, Trevor Darrell, Fisher Yu:
Frustratingly Simple Few-Shot Object Detection. ICML 2020: 9919-9928 - [c301]Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Trevor Darrell:
Video Prediction via Example Guidance. ICML 2020: 10628-10637 - [c300]Richard Li, Allan Jabri, Trevor Darrell, Pulkit Agrawal:
Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning. ICRA 2020: 4051-4058 - [c299]Xu Shen, Ivo Batkovic, Vijay Govindarajan, Paolo Falcone, Trevor Darrell, Francesco Borrelli:
ParkPredict: Motion and Intent Prediction of Vehicles in Parking Lots. IV 2020: 1170-1175 - [c298]Baifeng Shi, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu:
Auxiliary Task Reweighting for Minimum-data Learning. NeurIPS 2020 - [c297]Chuan Wen, Jierui Lin, Trevor Darrell, Dinesh Jayaraman, Yang Gao:
Fighting Copycat Agents in Behavioral Cloning from Observation Histories. NeurIPS 2020 - [i159]Yinbo Chen, Xiaolong Wang, Zhuang Liu, Huijuan Xu, Trevor Darrell:
A New Meta-Baseline for Few-Shot Learning. CoRR abs/2003.04390 (2020) - [i158]Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell:
Rethinking Image Mixture for Unsupervised Visual Representation Learning. CoRR abs/2003.05438 (2020) - [i157]Xin Wang, Thomas E. Huang, Trevor Darrell, Joseph E. Gonzalez, Fisher Yu:
Frustratingly Simple Few-Shot Object Detection. CoRR abs/2003.06957 (2020) - [i156]Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach:
Adversarial Continual Learning. CoRR abs/2003.09553 (2020) - [i155]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) - [i154]Zhekun Luo, Devin Guillory, Baifeng Shi, Wei Ke, Fang Wan, Trevor Darrell, Huijuan Xu:
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning. CoRR abs/2004.00163 (2020) - [i153]Huijuan Xu, Lizhi Yang, Stan Sclaroff, Kate Saenko, Trevor Darrell:
Spatio-Temporal Action Detection with Multi-Object Interaction. CoRR abs/2004.00180 (2020) - [i152]Viktoriia Sharmanska, Lisa Anne Hendricks, Trevor Darrell, Novi Quadrianto:
Contrastive Examples for Addressing the Tyranny of the Majority. CoRR abs/2004.06524 (2020) - [i151]Xu Shen, Ivo Batkovic, Vijay Govindarajan, Paolo Falcone, Trevor Darrell, Francesco Borrelli:
ParkPredict: Motion and Intent Prediction of Vehicles in Parking Lots. CoRR abs/2004.10293 (2020) - [i150]Elad Levi, Tete Xiao, Xiaolong Wang, Trevor Darrell:
Reducing Class Collapse in Metric Learning with Easy Positive Sampling. CoRR abs/2006.05162 (2020) - [i149]Jiangmiao Pang, Linlu Qiu, Haofeng Chen, Qi Li, Trevor Darrell, Fisher Yu:
Quasi-Dense Instance Similarity Learning. CoRR abs/2006.06664 (2020) - [i148]Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno A. Olshausen, Trevor Darrell:
Fully Test-time Adaptation by Entropy Minimization. CoRR abs/2006.10726 (2020) - [i147]Amir Bar, Roei Herzig, Xiaolong Wang, Gal Chechik, Trevor Darrell, Amir Globerson:
Compositional Video Synthesis with Action Graphs. CoRR abs/2006.15327 (2020) - [i146]Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Trevor Darrell:
Video Prediction via Example Guidance. CoRR abs/2007.01738 (2020) - [i145]Medhini Narasimhan, Erik Wijmans, Xinlei Chen, Trevor Darrell, Dhruv Batra, Devi Parikh, Amanpreet Singh:
Seeing the Un-Scene: Learning Amodal Semantic Maps for Room Navigation. CoRR abs/2007.09841 (2020) - [i144]Evonne Ng, Hanbyul Joo, Shiry Ginosar, Trevor Darrell:
Body2Hands: Learning to Infer 3D Hands from Conversational Gesture Body Dynamics. CoRR abs/2007.12287 (2020) - [i143]Tete Xiao, Xiaolong Wang, Alexei A. Efros, Trevor Darrell:
What Should Not Be Contrastive in Contrastive Learning. CoRR abs/2008.05659 (2020) - [i142]Jae Sung Park, Trevor Darrell, Anna Rohrbach:
Identity-Aware Multi-Sentence Video Description. CoRR abs/2008.09791 (2020) - [i141]Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Xiaolong Wang, Trevor Darrell:
Hierarchical Style-based Networks for Motion Synthesis. CoRR abs/2008.10162 (2020) - [i140]Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer:
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation. CoRR abs/2009.03456 (2020) - [i139]Colorado Reed, Sean Metzger, Aravind Srinivas, Trevor Darrell, Kurt Keutzer:
Evaluating Self-Supervised Pretraining Without Using Labels. CoRR abs/2009.07724 (2020) - [i138]Sayna Ebrahimi, Suzanne Petryk, Akash Gokul, William Gan, Joseph E. Gonzalez, Marcus Rohrbach, Trevor Darrell:
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting. CoRR abs/2010.01528 (2020) - [i137]Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Trevor Darrell, Kurt Keutzer, Han Zhao:
Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation. CoRR abs/2010.04647 (2020) - [i136]Baifeng Shi, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu:
Auxiliary Task Reweighting for Minimum-data Learning. CoRR abs/2010.08244 (2020) - [i135]Rodolfo Corona, Daniel Fried, Coline Devin, Dan Klein, Trevor Darrell:
Modularity Improves Out-of-Domain Instruction Following. CoRR abs/2010.12764 (2020) - [i134]Chuan Wen, Jierui Lin, Trevor Darrell, Dinesh Jayaraman, Yang Gao:
Fighting Copycat Agents in Behavioral Cloning from Observation Histories. CoRR abs/2010.14876 (2020) - [i133]Baifeng Shi, Qi Dai, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu:
Temporal Action Detection with Multi-level Supervision. CoRR abs/2011.11893 (2020) - [i132]Sayna Ebrahimi, William Gan, Kamyar Salahi, Trevor Darrell:
Minimax Active Learning. CoRR abs/2012.10467 (2020)
2010 – 2019
- 2019
- [c296]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 - [c295]Jae Sung Park, Marcus Rohrbach, Trevor Darrell, Anna Rohrbach:
Adversarial Inference for Multi-Sentence Video Description. CVPR Workshops 2019: 0 - [c294]Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata:
Generalized Zero-Shot Learning via Aligned Variational Autoencoders. CVPR Workshops 2019: 54-57 - [c293]Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach:
Uncertainty-Guided Continual Learning in Bayesian Neural Networks - Extended Abstract. CVPR Workshops 2019: 75-78 - [c292]Eli Brosh, Matan Friedmann, Ilan Kadar, Lev Yitzhak Lavy, Elad Levi, Shmuel Rippa, Yair Lempert, Bruno Fernandez-Ruiz, Roei Herzig, Trevor Darrell:
Accurate Visual Localization for Automotive Applications. CVPR Workshops 2019: 118-127 - [c291]Eli Brosh, Matan Friedmann, Ilan Kadar, Lev Yitzhak Lavy, Elad Levi, Shmuel Rippa, Yair Lempert, Bruno Fernandez-Ruiz, Roei Herzig, Trevor Darrell:
Accurate Visual Localization for Automotive Applications. CVPR Workshops 2019: 1307-1316 - [c290]Xin Wang, Fisher Yu, Ruth Wang, Trevor Darrell, Joseph E. Gonzalez:
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning. CVPR 2019: 1831-1840 - [c289]Zhichao Yin, Trevor Darrell, Fisher Yu:
Hierarchical Discrete Distribution Decomposition for Match Density Estimation. CVPR 2019: 6044-6053 - [c288]Jae Sung Park, Marcus Rohrbach, Trevor Darrell, Anna Rohrbach:
Adversarial Inference for Multi-Sentence Video Description. CVPR 2019: 6598-6608 - [c287]Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata:
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders. CVPR 2019: 8247-8255 - [c286]Dong Huk Park, Trevor Darrell, Anna Rohrbach:
Robust Change Captioning. ICCV 2019: 4623-4632 - [c285]Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krähenbühl, Trevor Darrell, Fisher Yu:
Joint Monocular 3D Vehicle Detection and Tracking. ICCV 2019: 5389-5398 - [c284]Samarth Sinha, Sayna Ebrahimi, Trevor Darrell:
Variational Adversarial Active Learning. ICCV 2019: 5971-5980 - [c283]Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Trevor Darrell, Kate Saenko:
Semi-Supervised Domain Adaptation via Minimax Entropy. ICCV 2019: 8049-8057 - [c282]Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell:
Few-Shot Object Detection via Feature Reweighting. ICCV 2019: 8419-8428 - [c281]Hang Gao, Huazhe Xu, Qi-Zhi Cai, Ruth Wang, Fisher Yu, Trevor Darrell:
Disentangling Propagation and Generation for Video Prediction. ICCV 2019: 9005-9014 - [c280]Ronghang Hu, Anna Rohrbach, Trevor Darrell, Kate Saenko:
Language-Conditioned Graph Networks for Relational Reasoning. ICCV 2019: 10293-10302 - [c279]Roei Herzig, Elad Levi, Huijuan Xu, Hang Gao, Eli Brosh, Xiaolong Wang, Amir Globerson, Trevor Darrell:
Spatio-Temporal Action Graph Networks. ICCV Workshops 2019: 2347-2356 - [c278]Samaneh Azadi, Catherine Olsson, Trevor Darrell, Ian J. Goodfellow, Augustus Odena:
Discriminator Rejection Sampling. ICLR (Poster) 2019 - [c277]Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell:
Compositional GAN (Extended Abstract): Learning Image-Conditional Binary Composition. DGS@ICLR 2019 - [c276]Yuri Burda, Harrison Edwards, Deepak Pathak, Amos J. Storkey, Trevor Darrell, Alexei A. Efros:
Large-Scale Study of Curiosity-Driven Learning. ICLR (Poster) 2019 - [c275]Zhuang Liu, Mingjie Sun, Tinghui Zhou, Gao Huang, Trevor Darrell:
Rethinking the Value of Network Pruning. ICLR (Poster) 2019 - [c274]Yuping Luo, Huazhe Xu, Yuanzhi Li, Yuandong Tian, Trevor Darrell, Tengyu Ma:
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees. ICLR (Poster) 2019 - [c273]Dequan Wang, Coline Devin, Qi-Zhi Cai, Fisher Yu, Trevor Darrell:
Deep Object-Centric Policies for Autonomous Driving. ICRA 2019: 8853-8859 - [c272]Dequan Wang, Coline Devin, Qi-Zhi Cai, Philipp Krähenbühl, Trevor Darrell:
Monocular Plan View Networks for Autonomous Driving. IROS 2019: 2876-2883 - [c271]Deepak Pathak, Christopher Lu, Trevor Darrell, Phillip Isola, Alexei A. Efros:
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity. NeurIPS 2019: 2292-2302 - [c270]Coline Devin, Daniel Geng, Pieter Abbeel, Trevor Darrell, Sergey Levine:
Compositional Plan Vectors. NeurIPS 2019: 14963-14974 - [c269]Xin Wang, Fisher Yu, Lisa Dunlap, Yi-An Ma, Ruth Wang, Azalia Mirhoseini, Trevor Darrell, Joseph E. Gonzalez:
Deep Mixture of Experts via Shallow Embedding. UAI 2019: 552-562 - [c268]Michael Laielli, James Smith, Giscard Biamby, Trevor Darrell, Bjoern Hartmann:
LabelAR: A Spatial Guidance Interface for Fast Computer Vision Image Collection. UIST 2019: 987-998 - [i131]Dong Huk Park, Trevor Darrell, Anna Rohrbach:
Viewpoint Invariant Change Captioning. CoRR abs/1901.02527 (2019) - [i130]Deepak Pathak, Christopher Lu, Trevor Darrell, Phillip Isola, Alexei A. Efros:
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity. CoRR abs/1902.05546 (2019) - [i129]Samarth Sinha, Sayna Ebrahimi, Trevor Darrell:
Variational Adversarial Active Learning. CoRR abs/1904.00370 (2019) - [i128]Xin Wang, Fisher Yu, Ruth Wang, Trevor Darrell, Joseph E. Gonzalez:
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning. CoRR abs/1904.05967 (2019) - [i127]Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Trevor Darrell, Kate Saenko:
Semi-supervised Domain Adaptation via Minimax Entropy. CoRR abs/1904.06487 (2019) - [i126]Evan Shelhamer, Dequan Wang, Trevor Darrell:
Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields. CoRR abs/1904.11487 (2019) - [i125]Eli Brosh, Matan Friedmann, Ilan Kadar, Lev Yitzhak Lavy, Elad Levi, Shmuel Rippa, Yair Lempert, Bruno Fernandez-Ruiz, Roei Herzig, Trevor Darrell:
Accurate Visual Localization for Automotive Applications. CoRR abs/1905.03706 (2019) - [i124]Ronghang Hu, Anna Rohrbach, Trevor Darrell, Kate Saenko:
Language-Conditioned Graph Networks for Relational Reasoning. CoRR abs/1905.04405 (2019) - [i123]Dequan Wang, Coline Devin, Qi-Zhi Cai, Philipp Krähenbühl, Trevor Darrell:
Monocular Plan View Networks for Autonomous Driving. CoRR abs/1905.06937 (2019) - [i122]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) - [i121]Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach:
Uncertainty-guided Continual Learning with Bayesian Neural Networks. CoRR abs/1906.02425 (2019) - [i120]Xin Wang, Fisher Yu, Trevor Darrell, Joseph E. Gonzalez:
Task-Aware Deep Sampling for Feature Generation. CoRR abs/1906.04854 (2019) - [i119]Dequan Wang, Evan Shelhamer, Bruno A. Olshausen, Trevor Darrell:
Dynamic Scale Inference by Entropy Minimization. CoRR abs/1908.03182 (2019) - [i118]Yu Sun, Eric Tzeng, Trevor Darrell, Alexei A. Efros:
Unsupervised Domain Adaptation through Self-Supervision. CoRR abs/1909.11825 (2019) - [i117]Huazhe Xu, Boyuan Chen, Yang Gao, Trevor Darrell:
Scoring-Aggregating-Planning: Learning task-agnostic priors from interactions and sparse rewards for zero-shot generalization. CoRR abs/1910.08143 (2019) - [i116]Zhuang Liu, Tinghui Zhou, Zhiqiang Shen, Bingyi Kang, Trevor Darrell:
Transferable Recognition-Aware Image Processing. CoRR abs/1910.09185 (2019) - [i115]Zhuang Liu, Xuanlin Li, Bingyi Kang, Trevor Darrell:
Regularization Matters in Policy Optimization. CoRR abs/1910.09191 (2019) - [i114]Coline Devin, Daniel Geng, Pieter Abbeel, Trevor Darrell, Sergey Levine:
Plan Arithmetic: Compositional Plan Vectors for Multi-Task Control. CoRR abs/1910.14033 (2019) - [i113]Ronghang Hu, Amanpreet Singh, Trevor Darrell, Marcus Rohrbach:
Iterative Answer Prediction with Pointer-Augmented Multimodal Transformers for TextVQA. CoRR abs/1911.06258 (2019) - [i112]Samaneh Azadi, Michael Tschannen, Eric Tzeng, Sylvain Gelly, Trevor Darrell, Mario Lucic:
Semantic Bottleneck Scene Generation. CoRR abs/1911.11357 (2019) - [i111]Roei Herzig, Amir Bar, Huijuan Xu, Gal Chechik, Trevor Darrell, Amir Globerson:
Learning Canonical Representations for Scene Graph to Image Generation. CoRR abs/1912.07414 (2019) - [i110]Joanna Materzynska, Tete Xiao, Roei Herzig, Huijuan Xu, Xiaolong Wang, Trevor Darrell:
Something-Else: Compositional Action Recognition with Spatial-Temporal Interaction Networks. CoRR abs/1912.09930 (2019) - [i109]Richard Li, Allan Jabri, Trevor Darrell, Pulkit Agrawal:
Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning. CoRR abs/1912.11032 (2019) - 2018
- [j43]Trevor Darrell, Christoph Lampert, Nicu Sebe, Ying Wu, Yan Yan:
Guest Editors' Introduction to the Special Section on Learning with Shared Information for Computer Vision and Multimedia Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 40(5): 1029-1031 (2018) - [c267]Dennis Lee, Haoran Tang, Jeffrey O. Zhang, Huazhe Xu, Trevor Darrell, Pieter Abbeel:
Modular Architecture for StarCraft II with Deep Reinforcement Learning. AIIDE 2018: 187-193 - [c266]Deepak Pathak, Yide Shentu, Dian Chen, Pulkit Agrawal, Trevor Darrell, Sergey Levine, Jitendra Malik:
Learning Instance Segmentation by Interaction. CVPR Workshops 2018: 2042-2045 - [c265]Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell:
Zero-Shot Visual Imitation. CVPR Workshops 2018: 2050-2053 - [c264]Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell:
Deep Layer Aggregation. CVPR 2018: 2403-2412 - [c263]Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, Ross B. Girshick:
Learning to Segment Every Thing. CVPR 2018: 4233-4241 - [c262]Xiaojun Xu, Xinyun Chen, Chang Liu, Anna Rohrbach, Trevor Darrell, Dawn Song:
Fooling Vision and Language Models Despite Localization and Attention Mechanism. CVPR 2018: 4951-4961 - [c261]Samaneh Azadi, Matthew Fisher, Vladimir G. Kim, Zhaowen Wang, Eli Shechtman, Trevor Darrell:
Multi-Content GAN for Few-Shot Font Style Transfer. CVPR 2018: 7564-7573 - [c260]Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Anna Rohrbach, Bernt Schiele, Trevor Darrell, Marcus Rohrbach:
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence. CVPR 2018: 8779-8788 - [c259]Ronghang Hu, Jacob Andreas, Trevor Darrell, Kate Saenko:
Explainable Neural Computation via Stack Neural Module Networks. ECCV (7) 2018: 55-71 - [c258]Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell, Zeynep Akata:
Grounding Visual Explanations. ECCV (2) 2018: 269-286 - [c257]Xin Wang, Fisher Yu, Zi-Yi Dou, Trevor Darrell, Joseph E. Gonzalez:
SkipNet: Learning Dynamic Routing in Convolutional Networks. ECCV (13) 2018: 420-436 - [c256]Jinkyu Kim, Anna Rohrbach, Trevor Darrell, John F. Canny, Zeynep Akata:
Textual Explanations for Self-Driving Vehicles. ECCV (2) 2018: 577-593 - [c255]Lisa Anne Hendricks, Kaylee Burns, Kate Saenko, Trevor Darrell, Anna Rohrbach:
Women Also Snowboard: Overcoming Bias in Captioning Models. ECCV (3) 2018: 793-811 - [c254]Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, Bryan C. Russell:
Localizing Moments in Video with Temporal Language. EMNLP 2018: 1380-1390 - [c253]Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, Trevor Darrell, Kate Saenko:
Object Hallucination in Image Captioning. EMNLP 2018: 4035-4045 - [c252]Andreea Bobu, Eric Tzeng, Judy Hoffman, Trevor Darrell:
Adapting to Continuously Shifting Domains. ICLR (Workshop) 2018 - [c251]Yang Gao, Huazhe Xu, Ji Lin, Fisher Yu, Sergey Levine, Trevor Darrell:
Reinforcement Learning from Imperfect Demonstrations. ICLR (Workshop) 2018 - [c250]Erin Grant, Chelsea Finn, Sergey Levine, Trevor Darrell, Thomas L. Griffiths:
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes. ICLR (Poster) 2018 - [c249]Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell:
Zero-Shot Visual Imitation. ICLR 2018 - [c248]Kate Rakelly, Evan Shelhamer, Trevor Darrell, Alyosha A. Efros, Sergey Levine:
Conditional Networks for Few-Shot Semantic Segmentation. ICLR (Workshop) 2018 - [c247]Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell:
Learning Rich Image Representation with Deep Layer Aggregation. ICLR (Workshop) 2018 - [c246]