Trevor Darrell

Professor

CS Division, University of California, Berkeley

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Research Areas
Artificial Intelligence (AI)
Control, Intelligent Systems, and Robotics (CIR)
Computer Vision

Papers522 papers

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Compositional Video Synthesis with Action Graphs

Amir Bar,Roei Herzig,Xiaolong Wang,Gal Chechik,Trevor Darrell,Amir Globerson

Cited by1Bibtex

Fighting Copycat Agents in Behavioral Cloning from Multiple Observations

Chuan Wen, Jierui Lin,Trevor Darrell, Dinesh Jayaraman, Yang Gao

NeurIPS 2020, (2020)

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A New Meta-Baseline for Few-Shot Learning

Chen Yinbo,Wang Xiaolong,Liu Zhuang,Xu Huijuan,Darrell Trevor

Cited by13Bibtex

Frustratingly Simple Few-Shot Object Detection

Wang Xin, Huang Thomas E.,Darrell Trevor,Gonzalez Joseph E.,Yu Fisher

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Auxiliary Task Reweighting for Minimum-data Learning

Baifeng Shi,Judy Hoffman,Kate Saenko,Trevor Darrell,Huijuan Xu

NeurIPS 2020, (2020)

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Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting

Sayna Ebrahimi, Suzanne Petryk, Akash Gokul, William Gan,Joseph E. Gonzalez,Marcus Rohrbach,Trevor Darrell

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Adversarial Continual Learning

Ebrahimi Sayna, Meier Franziska, Calandra Roberto,Darrell Trevor, Rohrbach Marcus

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Evaluating Self-Supervised Pretraining Without Using Labels

Colorado Reed, Sean Metzger, Aravind Srinivas,Trevor Darrell,Kurt Keutzer

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ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation

Sicheng Zhao, Yezhen Wang, Bo Li,Bichen Wu, Yang Gao,Pengfei Xu,Trevor Darrell,Kurt Keutzer

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Hierarchical Style-based Networks for Motion Synthesis

Jingwei Xu, Huazhe Xu,Bingbing Ni,Xiaokang Yang,Xiaolong Wang,Trevor Darrell

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BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

Yu Fisher,Chen Haofeng,Wang Xin,Xian Wenqi,Chen Yingying,Liu Fangchen,Madhavan Vashisht,Darrell Trevor

CVPR, pp.2633-2642, (2020)

Cited by6EIBibtex

Contrastive Examples for Addressing the Tyranny of the Majority

Sharmanska Viktoriia,Hendricks Lisa Anne,Darrell Trevor,Quadrianto Novi

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ParkPredict: Motion and Intent Prediction of Vehicles in Parking Lots

Shen Xu, Batkovic Ivo, Govindarajan Vijay,Falcone Paolo,Darrell Trevor,Borrelli Francesco

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Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation

Bo Li, Yezhen Wang,Shanghang Zhang,Dongsheng Li,Trevor Darrell,Kurt Keutzer,Han Zhao

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Seeing the Un-Scene: Learning Amodal Semantic Maps for Room Navigation

Medhini Narasimhan,Erik Wijmans,Xinlei Chen,Trevor Darrell,Dhruv Batra,Devi Parikh,Amanpreet Singh

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Advisable Learning for Self-Driving Vehicles by Internalizing Observation-to-Action Rules

Jinkyu Kim,Suhong Moon,Anna Rohrbach,Trevor Darrell,John Canny

CVPR, pp.9658-9667, (2020)

EIBibtex

Learning Saliency Propagation for Semi-Supervised Instance Segmentation

Yanzhao Zhou,Xin Wang,Jianbin Jiao,Trevor Darrell,Fisher Yu

CVPR, pp.10304-10313, (2020)

EIBibtex

Revisiting Few-shot Activity Detection with Class Similarity Control

Huijuan Xu,Ximeng Sun,Eric Tzeng,Abir Das,Kate Saenko,Trevor Darrell

arXiv preprint arXiv:2004.00137, (2020)

Cited by2Bibtex

Uncertainty-guided Continual Learning with Bayesian Neural Networks

Sayna Ebrahimi,Mohamed Elhoseiny,Trevor Darrell, Marcus Rohrbach

ICLR, (2020)

EIBibtex

Reducing Class Collapse in Metric Learning with Easy Positive Sampling

Levi Elad,Xiao Tete,Wang Xiaolong,Darrell Trevor

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