Trevor Darrell

Language-Conditioned Graph Networks for Relational Reasoning

Ronghang Hu, Anna Rohrbach, Trevor Darrell, Kate Saenko

Dynamic Scale Inference by Entropy Minimization

Dequan Wang, Evan Shelhamer, Bruno Olshausen, Trevor Darrell

Disentangling Propagation and Generation for Video Prediction

Hang Gao, Huazhe Xu, Qi-Zhi Cai, Ruth Wang, Fisher Yu, Trevor Darrell

Comments ICCV 2019

Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation

Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko

Comments ACL 2019

Reinforcement Learning from Imperfect Demonstrations

Yang Gao, Huazhe Xu, Ji Lin, Fisher Yu, Sergey Levine, Trevor Darrell

Monocular Plan View Networks for Autonomous Driving

Dequan Wang, Coline Devin, Qi-Zhi Cai, Philipp Krähenbühl, Trevor Darrell

Comments 8 pages, 9 figures

Accurate Visual Localization for Automotive Applications

Eli Brosh, Matan Friedmann, Ilan Kadar, Lev Yitzhak Lavy, Elad Levi, Shmuel Rippa, Yair Lempert, Bruno Fernandez-Ruiz, Roei Herzig, Trevor Darrell

Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields

Evan Shelhamer, Dequan Wang, Trevor Darrell

Robust Change Captioning

Dong Huk Park, Trevor Darrell, Anna Rohrbach

Hierarchical Discrete Distribution Decomposition for Match Density Estimation

Zhichao Yin, Trevor Darrell, Fisher Yu

Comments To appear at CVPR 2019

Adversarial Inference for Multi-Sentence Video Description

Jae Sung Park, Marcus Rohrbach, Trevor Darrell, Anna Rohrbach

Comments Accepted to Computer Vision and Pattern Recognition (CVPR) 2019

TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning

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

Comments Accepted at CVPR 2019

Deep Mixture of Experts via Shallow Embedding

Xin Wang, Fisher Yu, Lisa Dunlap, Yi-An Ma, Ruth Wang, Azalia Mirhoseini, Trevor Darrell, Joseph E. Gonzalez

Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders

Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata

Comments Accepted at CVPR 2019

Object Hallucination in Image Captioning

Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, Trevor Darrell, Kate Saenko

Comments Rohrbach and Hendricks contributed equally; accepted to EMNLP 2018

Compositional GAN: Learning Image-Conditional Binary Composition

Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell

Women also Snowboard: Overcoming Bias in Captioning Models

Kaylee Burns, Lisa Anne Hendricks, Kate Saenko, Trevor Darrell, Anna Rohrbach

Comments 22 pages, 6 figures, Burns and Hendricks contributed equally

Explainable Neural Computation via Stack Neural Module Networks

Ronghang Hu, Jacob Andreas, Trevor Darrell, Kate Saenko

Comments ECCV 2018

Rethinking the Value of Network Pruning

Zhuang Liu, Mingjie Sun, Tinghui Zhou, Gao Huang, Trevor Darrell

Comments ICLR 2019. Significant revisions from the previous version

Deep Object-Centric Policies for Autonomous Driving

Dequan Wang, Coline Devin, Qi-Zhi Cai, Fisher Yu, Trevor Darrell

Comments Accepted at ICRA 2019

Discriminator Rejection Sampling

Samaneh Azadi, Catherine Olsson, Trevor Darrell, Ian Goodfellow, Augustus Odena

Comments Published as a conference paper at ICLR 2019

Deep Layer Aggregation

Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell

Comments Published at the Conference on Computer Vision and Pattern Recognition (CVPR) 2018

Similarity R-C3D for Few-shot Temporal Activity Detection

Huijuan Xu, Bingyi Kang, Ximeng Sun, Jiashi Feng, Kate Saenko, Trevor Darrell

SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection

Eric Tzeng, Kaylee Burns, Kate Saenko, Trevor Darrell

Modular Architecture for StarCraft II with Deep Reinforcement Learning

Dennis Lee, Haoran Tang, Jeffrey O Zhang, Huazhe Xu, Trevor Darrell, Pieter Abbeel

Comments Accepted to The 14th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE'18)

Speaker-Follower Models for Vision-and-Language Navigation

Daniel Fried, Ronghang Hu, Volkan Cirik, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein, Trevor Darrell

Comments NIPS 2018

Toward Multimodal Image-to-Image Translation

Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A. Efros, Oliver Wang, Eli Shechtman

Comments NIPS 2017 Final paper. v4 updated acknowledgment. Website: https://junyanz.github.io/BicycleGAN/

Localizing Moments in Video with Temporal Language

Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, Bryan Russell

Comments EMNLP 2018

Large-Scale Study of Curiosity-Driven Learning

Yuri Burda, Harri Edwards, Deepak Pathak, Amos Storkey, Trevor Darrell, Alexei A. Efros

Comments First three authors contributed equally and ordered alphabetically. Website at https://pathak22.github.io/large-scale-curiosity/

Grounding Visual Explanations

Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell, Zeynep Akata

Comments Accepted to ECCV 2018

Journal ref European Conference on Computer Vision (ECCV), 2018