Trevor Darrell

NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media

Grace Luo, Trevor Darrell, Anna Rohrbach

Comments EMNLP 2021

Quasi-Dense Similarity Learning for Multiple Object Tracking

Jiangmiao Pang, Linlu Qiu, Xia Li, Haofeng Chen, Qi Li, Trevor Darrell, Fisher Yu

Comments CVPR 2021 oral paper; Multiple object tracking on large-scale datasets

On-target Adaptation

Dequan Wang, Shaoteng Liu, Sayna Ebrahimi, Evan Shelhamer, Trevor Darrell

Rethinking preventing class-collapsing in metric learning with margin-based losses

Elad Levi, Tete Xiao, Xiaolong Wang, Trevor Darrell

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

Comments ICCV2021

Robust Object Detection via Instance-Level Temporal Cycle Confusion

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

Comments ICCV 2021

Predicting with Confidence on Unseen Distributions

Devin Guillory, Vaishaal Shankar, Sayna Ebrahimi, Trevor Darrell, Ludwig Schmidt

Comments ICCV Camera ready; new scatter plots in supplementary material

Region Similarity Representation Learning

Tete Xiao, Colorado J Reed, Xiaolong Wang, Kurt Keutzer, Trevor Darrell

Comments ICCV21

Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning

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

Comments ICCV 2021. Code: https://github.com/yinboc/few-shot-meta-baseline

Compositional Video Synthesis with Action Graphs

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

Comments ICML 2021 Camera Ready

PyTouch: A Machine Learning Library for Touch Processing

Mike Lambeta, Huazhe Xu, Jingwei Xu, Po-Wei Chou, Shaoxiong Wang, Trevor Darrell, Roberto Calandra

Comments 7 pages. Accepted at ICRA 2021

Recognizing Image Style

Sergey Karayev, Matthew Trentacoste, Helen Han, Aseem Agarwala, Trevor Darrell, Aaron Hertzmann, Holger Winnemoeller

Journal ref Proc. British Machine Vision Conference (BMVC) 2014

Auto-Tuned Sim-to-Real Transfer

Yuqing Du, Olivia Watkins, Trevor Darrell, Pieter Abbeel, Deepak Pathak

Comments ICRA 2021. First two authors contributed equally. Website at https://yuqingd.github.io/autotuned-sim2real/

Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks

Dequan Wang, An Ju, Evan Shelhamer, David Wagner, Trevor Darrell

SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning

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

Comments Computer Vision and Pattern Recognition (CVPR), 2021

Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting

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

Comments Accepted at ICLR 2021

Modular Networks for Compositional Instruction Following

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

Comments Published in NAACL-2021

Body2Hands: Learning to Infer 3D Hands from Conversational Gesture Body Dynamics

Evonne Ng, Shiry Ginosar, Trevor Darrell, Hanbyul Joo

Strumming to the Beat: Audio-Conditioned Contrastive Video Textures

Medhini Narasimhan, Shiry Ginosar, Andrew Owens, Alexei A. Efros, Trevor Darrell

Comments Project website at https://medhini.github.io/audio_video_textures/

Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation

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

Comments Accepted to CVPR 2021

Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation

Xiangyu Yue, Zangwei Zheng, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto Sangiovanni Vincentelli

Comments CVPR 2021

Minimax Active Learning

Sayna Ebrahimi, William Gan, Dian Chen, Giscard Biamby, Kamyar Salahi, Michael Laielli, Shizhan Zhu, Trevor Darrell

Comments Project page is available at https://people.eecs.berkeley.edu/~sayna/mal.html

Self-Supervised Pretraining Improves Self-Supervised Pretraining

Colorado J. Reed, Xiangyu Yue, Ani Nrusimha, Sayna Ebrahimi, Vivek Vijaykumar, Richard Mao, Bo Li, Shanghang Zhang, Devin Guillory, Sean Metzger, Kurt Keutzer, Trevor Darrell

What Should Not Be Contrastive in Contrastive Learning

Tete Xiao, Xiaolong Wang, Alexei A. Efros, Trevor Darrell

Comments Published as a conference paper at ICLR 2021

Tent: Fully Test-time Adaptation by Entropy Minimization

Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno Olshausen, Trevor Darrell

Comments ICLR 2021 Spotlight

Zero-shot Policy Learning with Spatial Temporal RewardDecomposition on Contingency-aware Observation

Huazhe Xu, Boyuan Chen, Yang Gao, Trevor Darrell

Monocular Quasi-Dense 3D Object Tracking

Hou-Ning Hu, Yung-Hsu Yang, Tobias Fischer, Trevor Darrell, Fisher Yu, Min Sun

Comments 24 pages, 14 figures, including appendix (6 pages)

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

Comments Accepted by AAAI 2021

Temporal Action Detection with Multi-level Supervision

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

Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees

Yuping Luo, Huazhe Xu, Yuanzhi Li, Yuandong Tian, Trevor Darrell, Tengyu Ma

Comments Added important notes that the conditions of Theorem 3.1 cannot simultaneously hold for most models