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

Papers527 papers

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Video Prediction via Example Guidance

Jingwei Xu, Harry,Bingbing Ni,Xiaokang Yang,Trevor Darrell

ICML, pp.10628-10637, (2020)

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Temporal Action Detection with Multi-level Supervision

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

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Uncertainty-guided Continual Learning with Bayesian Neural Networks

Sayna Ebrahimi,Mohamed Elhoseiny,Trevor Darrell, Marcus Rohrbach

ICLR, (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

Fighting Copycat Agents in Behavioral Cloning from Observation Histories

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

NeurIPS, (2020)

EIBibtex

Modularity Improves Out-of-Domain Instruction Following

Rodolfo Corona,Daniel Fried,Coline Devin,Dan Klein,Trevor Darrell

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Rethinking Image Mixture for Unsupervised Visual Representation Learning

Shen Zhiqiang,Liu Zechun,Liu Zhuang,Savvides Marios,Darrell Trevor

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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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Fighting Copycat Agents in Behavioral Cloning from Observation Histories

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

NeurIPS 2020, (2020)

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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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Frustratingly Simple Few-Shot Object Detection

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

Cited by5Bibtex

Auxiliary Task Reweighting for Minimum-data Learning

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

NeurIPS, (2020)

EIBibtex

Adversarial Continual Learning

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

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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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Contrastive Examples for Addressing the Tyranny of the Majority

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

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Reducing Class Collapse in Metric Learning with Easy Positive Sampling

Levi Elad,Xiao Tete,Wang Xiaolong,Darrell Trevor

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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

IV, pp.1170-1175, (2020)

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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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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

Hierarchical Style-based Networks for Motion Synthesis

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

european conference on computer vision, pp.178-194, (2020)

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