Trevor Darrell

Instance-Aware Predictive Navigation in Multi-Agent Environments

Jinkun Cao, Xin Wang, Trevor Darrell, Fisher Yu

Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning

Zhekun Luo, Devin Guillory, Baifeng Shi, Wei Ke, Fang Wan, Trevor Darrell, Huijuan Xu

Comments Accepted at European Conference on Computer Vision (ECCV), 2020

Fighting Copycat Agents in Behavioral Cloning from Observation Histories

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

Comments Published at NeurIPS 2020 9 pages(exclude reference and appendices)

Auxiliary Task Reweighting for Minimum-data Learning

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

Comments NeurIPS 2020. Project page: https://sites.google.com/view/auxiliary-task-reweighting/home

Something-Else: Compositional Action Recognition with Spatial-Temporal Interaction Networks

Joanna Materzynska, Tete Xiao, Roei Herzig, Huijuan Xu, Xiaolong Wang, Trevor Darrell

Hierarchical Style-based Networks for Motion Synthesis

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

Comments ECCV 2020, Project Page:\<https://sites.google.com/view/hsnms>

Identity-Aware Multi-Sentence Video Description

Jae Sung Park, Trevor Darrell, Anna Rohrbach

Comments Project link at https://sites.google.com/site/describingmovies/lsmdc-2019/

Learning Canonical Representations for Scene Graph to Image Generation

Roei Herzig, Amir Bar, Huijuan Xu, Gal Chechik, Trevor Darrell, Amir Globerson

Comments ECCV 2020

Plan Arithmetic: Compositional Plan Vectors for Multi-Task Control

Coline Devin, Daniel Geng, Pieter Abbeel, Trevor Darrell, Sergey Levine

Comments In NeurIPS 2019

Adversarial Continual Learning

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

Comments Accepted at ECCV 2020

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

Comments Published at the European Conference on Computer Vision, 2020

Video Prediction via Example Guidance

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

Comments Project Page: https://sites.google.com/view/vpeg-supp/home

Journal ref ICML 2020

ParkPredict: Motion and Intent Prediction of Vehicles in Parking Lots

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

Comments * Indicates equal contribution. Accepted at IEEE Intelligent Vehicles Symposium (IV) 2020

Contrastive Examples for Addressing the Tyranny of the Majority

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

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

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

Comments Published at IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020

Spatio-Temporal Action Detection with Multi-Object Interaction

Huijuan Xu, Lizhi Yang, Stan Sclaroff, Kate Saenko, Trevor Darrell

Revisiting Few-shot Activity Detection with Class Similarity Control

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

Iterative Answer Prediction with Pointer-Augmented Multimodal Transformers for TextVQA

Ronghang Hu, Amanpreet Singh, Trevor Darrell, Marcus Rohrbach

Comments CVPR 2020

Task-Aware Feature Generation for Zero-Shot Compositional Learning

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

Comments 17 pages, 9 figures; substantial content updates with additional experiments

Frustratingly Simple Few-Shot Object Detection

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

Comments 12 pages, 8 figures

Uncertainty-guided Continual Learning with Bayesian Neural Networks

Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach

Comments Accepted at ICLR 2020

Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning

Richard Li, Allan Jabri, Trevor Darrell, Pulkit Agrawal

Comments 10 pages, 4 figures and 1 table in main article, 3 figures and 3 tables in appendix. Supplementary website and videos at https://richardrl.github.io/relational-rl/

Semantic Bottleneck Scene Generation

Samaneh Azadi, Michael Tschannen, Eric Tzeng, Sylvain Gelly, Trevor Darrell, Mario Lucic

Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity

Deepak Pathak, Chris Lu, Trevor Darrell, Phillip Isola, Alexei A. Efros

Comments NeurIPS 2019 (Spotlight). Videos at https://pathak22.github.io/modular-assemblies/

Variational Adversarial Active Learning

Samarth Sinha, Sayna Ebrahimi, Trevor Darrell

Comments First two authors contributed equally, listed alphabetically. Accepted as Oral at ICCV 2019

Few-shot Object Detection via Feature Reweighting

Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell

Comments ICCV 2019

Unsupervised Domain Adaptation through Self-Supervision

Yu Sun, Eric Tzeng, Trevor Darrell, Alexei A. Efros

Spatio-Temporal Action Graph Networks

Roei Herzig, Elad Levi, Huijuan Xu, Hang Gao, Eli Brosh, Xiaolong Wang, Amir Globerson, Trevor Darrell

Comments IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019

Semi-supervised Domain Adaptation via Minimax Entropy

Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Trevor Darrell, Kate Saenko

Comments accepted to ICCV2019. ICCV paper version

Joint Monocular 3D Vehicle Detection and Tracking

Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krähenbühl, Trevor Darrell, Fisher Yu

Comments 18 pages, 12 figures. Add supplementary material. Accepted by ICCV 2019. Website: https://eborboihuc.github.io/Mono-3DT Code: https://github.com/ucbdrive/3d-vehicle-tracking Video: https://youtu.be/EJAtOCKI31g