Trevor Darrell
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
374
Venues
23
Active years
2006–2026
Best venue rank
A*
Where they publish
- A*CVPR96 papers
- A*ICCV38 papers
- A*ICLR34 papers
- A*ECCV29 papers
- A*ICML22 papers
- A*ICRA18 papers
- A*EMNLP12 papers
- AWACV9 papers
- ANAACL8 papers
- A*ACL7 papers
- AIROS5 papers
- UnrankedCoRL4 papers
- A*AAAI3 papers
- AIUI3 papers
- BICMI3 papers
- AUAI2 papers
- CASRU1 paper
- A*UIST1 paper
- A*WWW1 paper
- CWAFR1 paper
- ABMVC1 paper
- AEACL1 paper
- CICINCO1 paper
Papers
Showing the 300 most recent indexed papers.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Activation Reward Models for Few-Shot Model Alignment. | Tianning Chai, Chancharik Mitra, Brandon Huang, Gautam Rajendrakumar Gare, Zhiqiu Lin, Assaf Arbelle, Leonid Karlinsky, Rogrio Feris, Trevor Darrell, Deva Ramanan, Roei Herzig |
| 2025 | ACL | Enough Coin Flips Can Make LLMs Act Bayesian. | Ritwik Gupta, Rodolfo Corona, Jiaxin Ge, Eric Wang, Dan Klein, Trevor Darrell, David M. Chan |
| 2025 | ASRU | CLAIRA: Leveraging Large Language Models to Judge Audio Captions. | Tsung-Han Wu, Joseph E. Gonzalez, Trevor Darrell, David M. Chan |
| 2025 | CVPR | Navigation World Models. | Amir Bar, Gaoyue Zhou, Danny Tran, Trevor Darrell, Yann LeCun |
| 2025 | CVPR | VisionArena: 230k Real World User-VLM Conversations with Preference Labels. | Christopher Chou, Lisa Dunlap, Koki Mashita, Krishna Mandal, Trevor Darrell, Ion Stoica, Joseph E. Gonzalez, Wei-Lin Chiang |
| 2025 | CVPR | AutoPresent: Designing Structured Visuals from Scratch. | Jiaxin Ge, Zora Zhiruo Wang, Xuhui Zhou, Yi-Hao Peng, Sanjay Subramanian, Qinyue Tan, Maarten Sap, Alane Suhr, Daniel Fried, Graham Neubig, Trevor Darrell |
| 2025 | CVPR | Scaling Vision Pre-Training to 4K Resolution. | Baifeng Shi, Boyi Li, Han Cai, Yao Lu, Sifei Liu, Marco Pavone, Jan Kautz, Song Han, Trevor Darrell, Pavlo Molchanov, Hongxu Yin |
| 2025 | CVPR | Pose Priors from Language Models. | Sanjay Subramanian, Evonne Ng, Lea Mller, Dan Klein, Shiry Ginosar, Trevor Darrell |
| 2025 | CVPR | Visual Lexicon: Rich Image Features in Language Space. | Xudong Wang, Xingyi Zhou, Alireza Fathi, Trevor Darrell, Cordelia Schmid |
| 2025 | EMNLP | Do What? Teaching Vision-Language-Action Models to Reject the Impossible. | Wen-Han Hsieh, Elvis Hsieh, Dantong Niu, Trevor Darrell, Roei Herzig, David M. Chan |
| 2025 | EMNLP | Puzzled by Puzzles: When Vision-Language Models Can't Take a Hint. | Heekyung Lee, Jiaxin Ge, Tsung-Han Wu, Minwoo Kang, Trevor Darrell, David M. Chan |
| 2025 | ICCV | Discovering Divergent Representations Between Text-To-Image Models. | Lisa Dunlap, Joseph E. Gonzalez, Trevor Darrell, Fabian Caba Heilbron, Josef Sivic, Bryan C. Russell |
| 2025 | ICCV | ST4RTrack: Simultaneous 4D Reconstruction and Tracking in the World. | Haiwen Feng, Junyi Zhang, Qianqian Wang, Yufei Ye, Pengcheng Yu, Michael J. Black, Trevor Darrell, Angjoo Kanazawa |
| 2025 | ICCV | Describe Anything: Detailed Localized Image and Video Captioning. | Long Lian, Yifan Ding, Yunhao Ge, Sifei Liu, Hanzi Mao, Boyi Li, Marco Pavone, Ming-Yu Liu, Trevor Darrell, Adam Yala, Yin Cui |
| 2025 | ICCV | Dual-Process Image Generation. | Grace Luo, Jonathan Granskog, Aleksander Holynski, Trevor Darrell |
| 2025 | ICCV | Enhancing Few-Shot Vision-Language Classification With Large Multimodal Model Features. | Chancharik Mitra, Brandon Huang, Tianning Chai, Zhiqiu Lin, Assaf Arbelle, Rogrio Feris, Leonid Karlinsky, Trevor Darrell, Deva Ramanan, Roei Herzig |
| 2025 | ICCV | TULIP: Contrastive Image-Text Learning with Richer Vision Understanding. | Zineng Tang, Long Lian, Seun Eisape, Xudong Wang, Roei Herzig, Adam Yala, Alane Suhr, Trevor Darrell, David M. Chan |
| 2025 | ICLR | MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion. | Junyi Zhang, Charles Herrmann, Junhwa Hur, Varun Jampani, Trevor Darrell, Forrester Cole, Deqing Sun, Ming-Hsuan Yang |
| 2025 | ICLR | SegLLM: Multi-round Reasoning Segmentation with Large Language Models. | Xudong Wang, Shaolun Zhang, Shufan Li, Kehan Li, Konstantinos Kallidromitis, Yusuke Kato, Kazuki Kozuka, Trevor Darrell |
| 2025 | ICLR | Video Action Differencing. | James Burgess, Xiaohan Wang, Yuhui Zhang, Anita Rau, Alejandro Lozano, Lisa Dunlap, Trevor Darrell, Serena Yeung-Levy |
| 2025 | ICLR | VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models. | Lisa Dunlap, Krishna Mandal, Trevor Darrell, Jacob Steinhardt, Joseph E. Gonzalez |
| 2025 | ICLR | Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs). | Leander Girrbach, Stephan Alaniz, Yiran Huang, Trevor Darrell, Zeynep Akata |
| 2025 | ICLR | Visual Haystacks: A Vision-Centric Needle-In-A-Haystack Benchmark. | Tsung-Han Wu, Giscard Biamby, Jerome Quenum, Ritwik Gupta, Joseph E. Gonzalez, Trevor Darrell, David M. Chan |
| 2025 | ICLR | A Coefficient Makes SVRG Effective. | Yida Yin, Zhiqiu Xu, Zhiyuan Li, Trevor Darrell, Zhuang Liu |
| 2025 | ICML | Vision-Language Models Create Cross-Modal Task Representations. | Grace Luo, Trevor Darrell, Amir Bar |
| 2025 | ICML | Pre-training Auto-regressive Robotic Models with 4D Representations. | Dantong Niu, Yuvan Sharma, Haoru Xue, Giscard Biamby, Junyi Zhang, Ziteng Ji, Trevor Darrell, Roei Herzig |
| 2025 | ICRA | Decentralized Vehicle Coordination: The Berkeley DeepDrive Drone Dataset and Consensus-Based Models. | Fangyu Wu, Dequan Wang, Minjune Hwang, Chenhui Hao, Jiawei Lu, Jiamu Zhang, Christopher Chou, Trevor Darrell, Alexandre M. Bayen |
| 2025 | ICRA | In-Context Learning Enables Robot Action Prediction in LLMs. | Yida Yin, Zekai Wang, Yuvan Sharma, Dantong Niu, Trevor Darrell, Roei Herzig |
| 2024 | ACL | Aligning Large Multimodal Models with Factually Augmented RLHF. | Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liangyan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell |
| 2024 | CoRL | LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning. | Dantong Niu, Yuvan Sharma, Giscard Biamby, Jerome Quenum, Yutong Bai, Baifeng Shi, Trevor Darrell, Roei Herzig |
| 2024 | CVPR | InstanceDiffusion: Instance-Level Control for Image Generation. | Xudong Wang, Trevor Darrell, Sai Saketh Rambhatla, Rohit Girdhar, Ishan Misra |
| 2024 | CVPR | VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation. | Xudong Wang, Ishan Misra, Ziyun Zeng, Rohit Girdhar, Trevor Darrell |
| 2024 | CVPR | Sequential Modeling Enables Scalable Learning for Large Vision Models. | Yutong Bai, Xinyang Geng, Karttikeya Mangalam, Amir Bar, Alan L. Yuille, Trevor Darrell, Jitendra Malik, Alexei A. Efros |
| 2024 | CVPR | Describing Differences in Image Sets with Natural Language. | Lisa Dunlap, Yuhui Zhang, Xiaohan Wang, Ruiqi Zhong, Trevor Darrell, Jacob Steinhardt, Joseph E. Gonzalez, Serena Yeung-Levy |
| 2024 | CVPR | PAIR Diffusion: A Comprehensive Multimodal Object-Level Image Editor. | Vidit Goel, Elia Peruzzo, Yifan Jiang, Dejia Xu, Xingqian Xu, Nicu Sebe, Trevor Darrell, Zhangyang Wang, Humphrey Shi |
| 2024 | CVPR | Readout Guidance: Learning Control from Diffusion Features. | Grace Luo, Trevor Darrell, Oliver Wang, Dan B. Goldman, Aleksander Holynski |
| 2024 | CVPR | Compositional Chain-of-Thought Prompting for Large Multimodal Models. | Chancharik Mitra, Brandon Huang, Trevor Darrell, Roei Herzig |
| 2024 | CVPR | From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations. | Evonne Ng, Javier Romero, Timur M. Bagautdinov, Shaojie Bai, Trevor Darrell, Angjoo Kanazawa, Alexander Richard |
| 2024 | CVPR | Unsupervised Universal Image Segmentation. | Dantong Niu, Xudong Wang, Xinyang Han, Long Lian, Roei Herzig, Trevor Darrell |
| 2024 | CVPR | See, Say, and Segment: Teaching LMMs to Overcome False Premises. | Tsung-Han Wu, Giscard Biamby, David M. Chan, Lisa Dunlap, Ritwik Gupta, Xudong Wang, Joseph E. Gonzalez, Trevor Darrell |
| 2024 | CVPR | Self-Correcting LLM-Controlled Diffusion Models. | Tsung-Han Wu, Long Lian, Joseph E. Gonzalez, Boyi Li, Trevor Darrell |
| 2024 | ECCV | EgoPet: Egomotion and Interaction Data from an Animal's Perspective. | Amir Bar, Arya Bakhtiar, Danny Tran, Antonio Loquercio, Jathushan Rajasegaran, Yann LeCun, Amir Globerson, Trevor Darrell |
| 2024 | ECCV | Recursive Visual Programming. | Jiaxin Ge, Sanjay Subramanian, Baifeng Shi, Roei Herzig, Trevor Darrell |
| 2024 | ECCV | Finding Visual Task Vectors. | Alberto Hojel, Yutong Bai, Trevor Darrell, Amir Globerson, Amir Bar |
| 2024 | ECCV | When Do We Not Need Larger Vision Models? | Baifeng Shi, Ziyang Wu, Maolin Mao, Xin Wang, Trevor Darrell |
| 2024 | EMNLP | TraveLER: A Modular Multi-LMM Agent Framework for Video Question-Answering. | Chuyi Shang, Amos You, Sanjay Subramanian, Trevor Darrell, Roei Herzig |
| 2024 | ICLR | LLM-grounded Video Diffusion Models. | Long Lian, Baifeng Shi, Adam Yala, Trevor Darrell, Boyi Li |
| 2024 | ICLR | Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models. | Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou |
| 2024 | ICLR | Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game. | Sam Toyer, Olivia Watkins, Ethan Adrian Mendes, Justin Svegliato, Luke Bailey, Tiffany Wang, Isaac Ong, Karim Elmaaroufi, Pieter Abbeel, Trevor Darrell, Alan Ritter, Stuart Russell |
| 2024 | ICLR | Initializing Models with Larger Ones. | Zhiqiu Xu, Yanjie Chen, Kirill Vishniakov, Yida Yin, Zhiqiang Shen, Trevor Darrell, Lingjie Liu, Zhuang Liu |
| 2024 | ICML | Stochastic positional embeddings improve masked image modeling. | Amir Bar, Florian Bordes, Assaf Shocher, Mido Assran, Pascal Vincent, Nicolas Ballas, Trevor Darrell, Amir Globerson, Yann LeCun |
| 2024 | ICML | Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI. | Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schrder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Botos Csaba, Fabro Steibel, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan A. Nolazco-Flores, Lori Landay, Matthew Thomas Jackson, Paul Rttger, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster |
| 2024 | ICML | Hyperbolic Active Learning for Semantic Segmentation under Domain Shift. | Luca Franco, Paolo Mandica, Konstantinos Kallidromitis, Devin Guillory, Yu-Teng Li, Trevor Darrell, Fabio Galasso |
| 2024 | ICML | xT: Nested Tokenization for Larger Context in Large Images. | Ritwik Gupta, Shufan Li, Tyler Zhu, Jitendra Malik, Trevor Darrell, Karttikeya Mangalam |
| 2024 | ICRA | Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. | Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew E. Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schlkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Bchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey T. Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, Joo Silvrio, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Snderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martn-Martn, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante-Gomez, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin |
| 2024 | NAACL | Re-evaluating the Need for Visual Signals in Unsupervised Grammar Induction. | Boyi Li, Rodolfo Corona, Karttikeya Mangalam, Catherine Chen, Daniel Flaherty, Serge J. Belongie, Kilian Q. Weinberger, Jitendra Malik, Trevor Darrell, Dan Klein |
| 2024 | NAACL | Which One? Leveraging Context Between Objects and Multiple Views for Language Grounding. | Chancharik Mitra, Abrar Anwar, Rodolfo Corona, Dan Klein, Trevor Darrell, Jesse Thomason |
| 2024 | NAACL | ALOHa: A New Measure for Hallucination in Captioning Models. | Suzanne Petryk, David M. Chan, Anish Kachinthaya, Haodi Zou, John F. Canny, Joseph Gonzalez, Trevor Darrell |
| 2024 | WACV | Proceedings of the Workshop on 3D Geometry Generation for Scientific Computing. | Marissa Ramirez de Chanlatte, Phillip Colella, Trevor Darrell, Alexandra Carlson, Peter H. N. de With, Huayu Deng, Shanyan Guan, James Hays, Tim Houben, Thomas Huisman, Nikita Jaipuria, Hans Johansen, Shuja Khalid, Akshay Krishnan, Chuming Li, Maxim Pisarenco, Amit Raj, Frank Rudzicz, Tim J. Schoonbeek, Sandhya Sridhar, Nathan Tseng, Fons van der Sommen, Chen Wang, Yunbo Wang, Tong Wu, Xiaokang Yang, Jiawei Yao, Derek J. N. Young, Xianling Zhang |
| 2024 | WACV | PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data. | Roei Herzig, Ofir Abramovich, Elad Ben-Avraham, Assaf Arbelle, Leonid Karlinsky, Ariel Shamir, Trevor Darrell, Amir Globerson |
| 2024 | WACV | Shape-Guided Diffusion with Inside-Outside Attention. | Dong Huk Park, Grace Luo, Clayton Toste, Samaneh Azadi, Xihui Liu, Maka Karalashvili, Anna Rohrbach, Trevor Darrell |
| 2024 | WACV | Simple Token-Level Confidence Improves Caption Correctness. | Suzanne Petryk, Spencer Whitehead, Joseph E. Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach |
| 2024 | WACV | Multitask Vision-Language Prompt Tuning. | Sheng Shen, Shijia Yang, Tianjun Zhang, Bohan Zhai, Joseph E. Gonzalez, Kurt Keutzer, Trevor Darrell |
| 2023 | ACL | Modular Visual Question Answering via Code Generation. | Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, Dan Klein |
| 2023 | CoRL | Robot Learning with Sensorimotor Pre-training. | Ilija Radosavovic, Baifeng Shi, Letian Fu, Ken Goldberg, Trevor Darrell, Jitendra Malik |
| 2023 | CVPR | Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption. | Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang |
| 2023 | CVPR | Top-Down Visual Attention from Analysis by Synthesis. | Baifeng Shi, Trevor Darrell, Xin Wang |
| 2023 | EMNLP | CLAIR: Evaluating Image Captions with Large Language Models. | David M. Chan, Suzanne Petryk, Joseph Gonzalez, Trevor Darrell, John F. Canny |
| 2023 | EMNLP | From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation. | Jiaxin Ge, Sanjay Subramanian, Trevor Darrell, Boyi Li |
| 2023 | EMNLP | Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs. | Roei Herzig, Alon Mendelson, Leonid Karlinsky, Assaf Arbelle, Rogrio Feris, Trevor Darrell, Amir Globerson |
| 2023 | EMNLP | Scaling Vision-Language Models with Sparse Mixture of Experts. | Sheng Shen, Zhewei Yao, Chunyuan Li, Trevor Darrell, Kurt Keutzer, Yuxiong He |
| 2023 | ICCV | Can Language Models Learn to Listen? | Evonne Ng, Sanjay Subramanian, Dan Klein, Angjoo Kanazawa, Trevor Darrell, Shiry Ginosar |
| 2023 | ICCV | Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning. | Colorado J. Reed, Ritwik Gupta, Shufan Li, Sarah Brockman, Christopher Funk, Brian Clipp, Kurt Keutzer, Salvatore Candido, Matt Uyttendaele, Trevor Darrell |
| 2023 | ICLR | Using Language to Extend to Unseen Domains. | Lisa Dunlap, Clara Mohri, Devin Guillory, Han Zhang, Trevor Darrell, Joseph E. Gonzalez, Aditi Raghunathan, Anna Rohrbach |
| 2023 | ICML | Dropout Reduces Underfitting. | Zhuang Liu, Zhiqiu Xu, Joseph Jin, Zhiqiang Shen, Trevor Darrell |
| 2023 | ICML | Guiding Pretraining in Reinforcement Learning with Large Language Models. | Yuqing Du, Olivia Watkins, Zihan Wang, Cdric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta, Jacob Andreas |
| 2023 | WACV | Watch Those Words: Video Falsification Detection Using Word-Conditioned Facial Motion. | Shruti Agarwal, Liwen Hu, Evonne Ng, Trevor Darrell, Hao Li, Anna Rohrbach |
| 2023 | WACV | More Control for Free! Image Synthesis with Semantic Diffusion Guidance. | Xihui Liu, Dong Huk Park, Samaneh Azadi, Gong Zhang, Arman Chopikyan, Yuxiao Hu, Humphrey Shi, Anna Rohrbach, Trevor Darrell |
| 2022 | AAAI | Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning. | Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell, Eric Poe Xing |
| 2022 | ACL | Voxel-informed Language Grounding. | Rodolfo Corona, Shizhan Zhu, Dan Klein, Trevor Darrell |
| 2022 | ACL | ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension. | Sanjay Subramanian, William Merrill, Trevor Darrell, Matt Gardner, Sameer Singh, Anna Rohrbach |
| 2022 | CoRL | Real-World Robot Learning with Masked Visual Pre-training. | Ilija Radosavovic, Tete Xiao, Stephen James, Pieter Abbeel, Jitendra Malik, Trevor Darrell |
| 2022 | CVPR | Contrastive Test-Time Adaptation. | Dian Chen, Dequan Wang, Trevor Darrell, Sayna Ebrahimi |
| 2022 | CVPR | A ConvNet for the 2020s. | Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie |
| 2022 | CVPR | DETReg: Unsupervised Pretraining with Region Priors for Object Detection. | Amir Bar, Xin Wang, Vadim Kantorov, Colorado J. Reed, Roei Herzig, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson |
| 2022 | CVPR | Object-Region Video Transformers. | Roei Herzig, Elad Ben-Avraham, Karttikeya Mangalam, Amir Bar, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson |
| 2022 | CVPR | Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motion. | Evonne Ng, Hanbyul Joo, Liwen Hu, Hao Li, Trevor Darrell, Angjoo Kanazawa, Shiry Ginosar |
| 2022 | CVPR | On Guiding Visual Attention with Language Specification. | Suzanne Petryk, Lisa Dunlap, Keyan Nasseri, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach |
| 2022 | ECCV | Studying Bias in GANs Through the Lens of Race. | Vongani H. Maluleke, Neerja Thakkar, Tim Brooks, Ethan Weber, Trevor Darrell, Alexei A. Efros, Angjoo Kanazawa, Devin Guillory |
| 2022 | ECCV | TL;DW? Summarizing Instructional Videos with Task Relevance and Cross-Modal Saliency. | Medhini Narasimhan, Arsha Nagrani, Chen Sun, Michael Rubinstein, Trevor Darrell, Anna Rohrbach, Cordelia Schmid |
| 2022 | ECCV | Learning to Detect Every Thing in an Open World. | Kuniaki Saito, Ping Hu, Trevor Darrell, Kate Saenko |
| 2022 | ECCV | Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly. | Spencer Whitehead, Suzanne Petryk, Vedaad Shakib, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach |
| 2022 | EMNLP | G3: Geolocation via Guidebook Grounding. | Grace Luo, Giscard Biamby, Trevor Darrell, Daniel Fried, Anna Rohrbach |
| 2022 | ICLR | Anytime Dense Prediction with Confidence Adaptivity. | Zhuang Liu, Zhiqiu Xu, Hung-Ju Wang, Trevor Darrell, Evan Shelhamer |
| 2022 | ICLR | Differentiable Gradient Sampling for Learning Implicit 3D Scene Reconstructions from a Single Image. | Shizhan Zhu, Sayna Ebrahimi, Angjoo Kanazawa, Trevor Darrell |
| 2022 | ICML | Zero-Shot Reward Specification via Grounded Natural Language. | Parsa Mahmoudieh, Deepak Pathak, Trevor Darrell |
| 2022 | ICML | Visual Attention Emerges from Recurrent Sparse Reconstruction. | Baifeng Shi, Yale Song, Neel Joshi, Trevor Darrell, Xin Wang |
| 2022 | IROS | Towards Learning to Play Piano with Dexterous Hands and Touch. | Huazhe Xu, Yuping Luo, Shaoxiong Wang, Trevor Darrell, Roberto Calandra |
| 2022 | NAACL | Twitter-COMMs: Detecting Climate, COVID, and Military Multimodal Misinformation. | Giscard Biamby, Grace Luo, Trevor Darrell, Anna Rohrbach |
| 2022 | NAACL | Disentangled Action Recognition with Knowledge Bases. | Zhekun Luo, Shalini Ghosh, Devin Guillory, Keizo Kato, Trevor Darrell, Huijuan Xu |
| 2022 | NAACL | Exposing the Limits of Video-Text Models through Contrast Sets. | Jae Sung Park, Sheng Shen, Ali Farhadi, Trevor Darrell, Yejin Choi, Anna Rohrbach |
| 2022 | WACV | Strumming to the Beat: Audio-Conditioned Contrastive Video Textures. | Medhini Narasimhan, Shiry Ginosar, Andrew Owens, Alexei A. Efros, Trevor Darrell |
| 2022 | WACV | 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 |
| 2021 | AAAI | 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 |
| 2021 | CVPR | Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation. | Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Kurt Keutzer, Trevor Darrell, Han Zhao |
| 2021 | CVPR | Body2Hands: Learning To Infer 3D Hands From Conversational Gesture Body Dynamics. | Evonne Ng, Shiry Ginosar, Trevor Darrell, Hanbyul Joo |
| 2021 | CVPR | Quasi-Dense Similarity Learning for Multiple Object Tracking. | Jiangmiao Pang, Linlu Qiu, Xia Li, Haofeng Chen, Qi Li, Trevor Darrell, Fisher Yu |
| 2021 | CVPR | SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning. | Colorado J. Reed, Sean Metzger, Aravind Srinivas, Trevor Darrell, Kurt Keutzer |
| 2021 | CVPR | 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 L. Sangiovanni-Vincentelli |
| 2021 | EMNLP | NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media. | Grace Luo, Trevor Darrell, Anna Rohrbach |
| 2021 | ICCV | 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 |
| 2021 | ICCV | Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning. | Yinbo Chen, Zhuang Liu, Huijuan Xu, Trevor Darrell, Xiaolong Wang |
| 2021 | ICCV | Predicting with Confidence on Unseen Distributions. | Devin Guillory, Vaishaal Shankar, Sayna Ebrahimi, Trevor Darrell, Ludwig Schmidt |
| 2021 | ICCV | Rethinking preventing class-collapsing in metric learning with margin-based losses. | Elad Levi, Tete Xiao, Xiaolong Wang, Trevor Darrell |
| 2021 | ICCV | 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 |
| 2021 | ICCV | Temporal Action Detection with Multi-level Supervision. | Baifeng Shi, Qi Dai, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu |
| 2021 | ICCV | Region Similarity Representation Learning. | Tete Xiao, Colorado J. Reed, Xiaolong Wang, Kurt Keutzer, Trevor Darrell |
| 2021 | ICLR | Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control. | Zhuang Liu, Xuanlin Li, Bingyi Kang, Trevor Darrell |
| 2021 | ICLR | Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting. | Sayna Ebrahimi, Suzanne Petryk, Akash Gokul, William Gan, Joseph E. Gonzalez, Marcus Rohrbach, Trevor Darrell |
| 2021 | ICLR | Discovering Non-monotonic Autoregressive Orderings with Variational Inference. | Xuanlin Li, Brandon Trabucco, Dong Huk Park, Michael Luo, Sheng Shen, Trevor Darrell, Yang Gao |
| 2021 | ICLR | Tent: Fully Test-Time Adaptation by Entropy Minimization. | Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno A. Olshausen, Trevor Darrell |
| 2021 | ICLR | What Should Not Be Contrastive in Contrastive Learning. | Tete Xiao, Xiaolong Wang, Alexei A. Efros, Trevor Darrell |
| 2021 | ICML | Compositional Video Synthesis with Action Graphs. | Amir Bar, Roei Herzig, Xiaolong Wang, Anna Rohrbach, Gal Chechik, Trevor Darrell, Amir Globerson |
| 2021 | ICRA | Instance-Aware Predictive Navigation in Multi-Agent Environments. | Jinkun Cao, Xin Wang, Trevor Darrell, Fisher Yu |
| 2021 | ICRA | Auto-Tuned Sim-to-Real Transfer. | Yuqing Du, Olivia Watkins, Trevor Darrell, Pieter Abbeel, Deepak Pathak |
| 2021 | ICRA | PyTouch: A Machine Learning Library for Touch Processing. | Mike Lambeta, Huazhe Xu, Jingwei Xu, Po-Wei Chou, Shaoxiong Wang, Trevor Darrell, Roberto Calandra |
| 2021 | ICRA | Zero-shot Policy Learning with Spatial Temporal Reward Decomposition on Contingency-aware Observation. | Huazhe Xu, Boyuan Chen, Yang Gao, Trevor Darrell |
| 2021 | NAACL | Modular Networks for Compositional Instruction Following. | Rodolfo Corona, Daniel Fried, Coline Devin, Dan Klein, Trevor Darrell |
| 2020 | CVPR | Iterative Answer Prediction With Pointer-Augmented Multimodal Transformers for TextVQA. | Ronghang Hu, Amanpreet Singh, Trevor Darrell, Marcus Rohrbach |
| 2020 | CVPR | Advisable Learning for Self-Driving Vehicles by Internalizing Observation-to-Action Rules. | Jinkyu Kim, Suhong Moon, Anna Rohrbach, Trevor Darrell, John F. Canny |
| 2020 | CVPR | Something-Else: Compositional Action Recognition With Spatial-Temporal Interaction Networks. | Joanna Materzynska, Tete Xiao, Roei Herzig, Huijuan Xu, Xiaolong Wang, Trevor Darrell |
| 2020 | CVPR | 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 |
| 2020 | CVPR | Learning Saliency Propagation for Semi-Supervised Instance Segmentation. | Yanzhao Zhou, Xin Wang, Jianbin Jiao, Trevor Darrell, Fisher Yu |
| 2020 | ECCV | Adversarial Continual Learning. | Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach |
| 2020 | ECCV | Learning Canonical Representations for Scene Graph to Image Generation. | Roei Herzig, Amir Bar, Huijuan Xu, Gal Chechik, Trevor Darrell, Amir Globerson |
| 2020 | ECCV | Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning. | Zhekun Luo, Devin Guillory, Baifeng Shi, Wei Ke, Fang Wan, Trevor Darrell, Huijuan Xu |
| 2020 | ECCV | 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 |
| 2020 | ECCV | Identity-Aware Multi-sentence Video Description. | Jae Sung Park, Trevor Darrell, Anna Rohrbach |
| 2020 | ECCV | Hierarchical Style-Based Networks for Motion Synthesis. | Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Xiaolong Wang, Trevor Darrell |
| 2020 | ICLR | Uncertainty-guided Continual Learning with Bayesian Neural Networks. | Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach |
| 2020 | ICML | Frustratingly Simple Few-Shot Object Detection. | Xin Wang, Thomas E. Huang, Joseph Gonzalez, Trevor Darrell, Fisher Yu |
| 2020 | ICML | Video Prediction via Example Guidance. | Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Trevor Darrell |
| 2020 | ICRA | Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning. | Richard Li, Allan Jabri, Trevor Darrell, Pulkit Agrawal |
| 2019 | ACL | Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation. | Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko |
| 2019 | CVPR | 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 |
| 2019 | CVPR | 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 |
| 2019 | CVPR | Uncertainty-Guided Continual Learning in Bayesian Neural Networks - Extended Abstract. | Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach |
| 2019 | CVPR | Adversarial Inference for Multi-Sentence Video Description. | Jae Sung Park, Marcus Rohrbach, Trevor Darrell, Anna Rohrbach |
| 2019 | CVPR | Adversarial Inference for Multi-Sentence Video Description. | Jae Sung Park, Marcus Rohrbach, Trevor Darrell, Anna Rohrbach |
| 2019 | CVPR | Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders. | Edgar Schnfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata |
| 2019 | CVPR | Generalized Zero-Shot Learning via Aligned Variational Autoencoders. | Edgar Schnfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata |
| 2019 | CVPR | TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning. | Xin Wang, Fisher Yu, Ruth Wang, Trevor Darrell, Joseph E. Gonzalez |
| 2019 | CVPR | Hierarchical Discrete Distribution Decomposition for Match Density Estimation. | Zhichao Yin, Trevor Darrell, Fisher Yu |
| 2019 | ICCV | Disentangling Propagation and Generation for Video Prediction. | Hang Gao, Huazhe Xu, Qi-Zhi Cai, Ruth Wang, Fisher Yu, Trevor Darrell |
| 2019 | ICCV | Joint Monocular 3D Vehicle Detection and Tracking. | Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krhenbhl, Trevor Darrell, Fisher Yu |
| 2019 | ICCV | Language-Conditioned Graph Networks for Relational Reasoning. | Ronghang Hu, Anna Rohrbach, Trevor Darrell, Kate Saenko |
| 2019 | ICCV | Few-Shot Object Detection via Feature Reweighting. | Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell |
| 2019 | ICCV | Robust Change Captioning. | Dong Huk Park, Trevor Darrell, Anna Rohrbach |
| 2019 | ICCV | Semi-Supervised Domain Adaptation via Minimax Entropy. | Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Trevor Darrell, Kate Saenko |
| 2019 | ICCV | Variational Adversarial Active Learning. | Samarth Sinha, Sayna Ebrahimi, Trevor Darrell |
| 2019 | ICLR | Discriminator Rejection Sampling. | Samaneh Azadi, Catherine Olsson, Trevor Darrell, Ian J. Goodfellow, Augustus Odena |
| 2019 | ICLR | Compositional GAN (Extended Abstract): Learning Image-Conditional Binary Composition. | Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell |
| 2019 | ICLR | Large-Scale Study of Curiosity-Driven Learning. | Yuri Burda, Harri Edwards, Deepak Pathak, Amos J. Storkey, Trevor Darrell, Alexei A. Efros |
| 2019 | ICLR | Rethinking the Value of Network Pruning. | Zhuang Liu, Mingjie Sun, Tinghui Zhou, Gao Huang, Trevor Darrell |
| 2019 | ICLR | Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees. | Yuping Luo, Huazhe Xu, Yuanzhi Li, Yuandong Tian, Trevor Darrell, Tengyu Ma |
| 2019 | IROS | Monocular Plan View Networks for Autonomous Driving. | Dequan Wang, Coline Devin, Qi-Zhi Cai, Philipp Krhenbhl, Trevor Darrell |
| 2019 | ICRA | Deep Object-Centric Policies for Autonomous Driving. | Dequan Wang, Coline Devin, Qi-Zhi Cai, Fisher Yu, Trevor Darrell |
| 2019 | UAI | 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 |
| 2019 | UIST | LabelAR: A Spatial Guidance Interface for Fast Computer Vision Image Collection. | Michael Laielli, James Smith, Giscard Biamby, Trevor Darrell, Bjoern Hartmann |
| 2018 | CVPR | Multi-Content GAN for Few-Shot Font Style Transfer. | Samaneh Azadi, Matthew Fisher, Vladimir G. Kim, Zhaowen Wang, Eli Shechtman, Trevor Darrell |
| 2018 | CVPR | Learning to Segment Every Thing. | Ronghang Hu, Piotr Dollr, Kaiming He, Trevor Darrell, Ross B. Girshick |
| 2018 | CVPR | Multimodal Explanations: Justifying Decisions and Pointing to the Evidence. | Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Anna Rohrbach, Bernt Schiele, Trevor Darrell, Marcus Rohrbach |
| 2018 | CVPR | Zero-Shot Visual Imitation. | Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell |
| 2018 | CVPR | Learning Instance Segmentation by Interaction. | Deepak Pathak, Yide Shentu, Dian Chen, Pulkit Agrawal, Trevor Darrell, Sergey Levine, Jitendra Malik |
| 2018 | CVPR | Fooling Vision and Language Models Despite Localization and Attention Mechanism. | Xiaojun Xu, Xinyun Chen, Chang Liu, Anna Rohrbach, Trevor Darrell, Dawn Song |
| 2018 | CVPR | Deep Layer Aggregation. | Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell |
| 2018 | ECCV | Women Also Snowboard: Overcoming Bias in Captioning Models. | Lisa Anne Hendricks, Kaylee Burns, Kate Saenko, Trevor Darrell, Anna Rohrbach |
| 2018 | ECCV | Grounding Visual Explanations. | Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell, Zeynep Akata |
| 2018 | ECCV | Explainable Neural Computation via Stack Neural Module Networks. | Ronghang Hu, Jacob Andreas, Trevor Darrell, Kate Saenko |
| 2018 | ECCV | Textual Explanations for Self-Driving Vehicles. | Jinkyu Kim, Anna Rohrbach, Trevor Darrell, John F. Canny, Zeynep Akata |
| 2018 | ECCV | SkipNet: Learning Dynamic Routing in Convolutional Networks. | Xin Wang, Fisher Yu, Zi-Yi Dou, Trevor Darrell, Joseph E. Gonzalez |
| 2018 | EMNLP | Localizing Moments in Video with Temporal Language. | Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, Bryan C. Russell |
| 2018 | EMNLP | Object Hallucination in Image Captioning. | Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, Trevor Darrell, Kate Saenko |
| 2018 | ICLR | Adapting to Continuously Shifting Domains. | Andreea Bobu, Eric Tzeng, Judy Hoffman, Trevor Darrell |
| 2018 | ICLR | Reinforcement Learning from Imperfect Demonstrations. | Yang Gao, Huazhe Xu, Ji Lin, Fisher Yu, Sergey Levine, Trevor Darrell |
| 2018 | ICLR | Recasting Gradient-Based Meta-Learning as Hierarchical Bayes. | Erin Grant, Chelsea Finn, Sergey Levine, Trevor Darrell, Thomas L. Griffiths |
| 2018 | ICLR | Zero-Shot Visual Imitation. | Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell |
| 2018 | ICLR | Conditional Networks for Few-Shot Semantic Segmentation. | Kate Rakelly, Evan Shelhamer, Trevor Darrell, Alyosha A. Efros, Sergey Levine |
| 2018 | ICLR | Learning Rich Image Representation with Deep Layer Aggregation. | Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell |
| 2018 | ICML | CyCADA: Cycle-Consistent Adversarial Domain Adaptation. | Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell |
| 2018 | ICRA | Deep Object-Centric Representations for Generalizable Robot Learning. | Coline Devin, Pieter Abbeel, Trevor Darrell, Sergey Levine |
| 2017 | CoRL | Gradient-free Policy Architecture Search and Adaptation. | Sayna Ebrahimi, Anna Rohrbach, Trevor Darrell |
| 2017 | CVPR | Learning Detection with Diverse Proposals. | Samaneh Azadi, Jiashi Feng, Trevor Darrell |
| 2017 | CVPR | Modeling Relationships in Referential Expressions with Compositional Modular Networks. | Ronghang Hu, Marcus Rohrbach, Jacob Andreas, Trevor Darrell, Kate Saenko |
| 2017 | CVPR | Curiosity-Driven Exploration by Self-Supervised Prediction. | Deepak Pathak, Pulkit Agrawal, Alexei A. Efros, Trevor Darrell |
| 2017 | CVPR | Learning Features by Watching Objects Move. | Deepak Pathak, Ross B. Girshick, Piotr Dollr, Trevor Darrell, Bharath Hariharan |
| 2017 | CVPR | Adversarial Discriminative Domain Adaptation. | Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell |
| 2017 | CVPR | Captioning Images with Diverse Objects. | Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond J. Mooney, Trevor Darrell, Kate Saenko |
| 2017 | CVPR | End-to-End Learning of Driving Models from Large-Scale Video Datasets. | Huazhe Xu, Yang Gao, Fisher Yu, Trevor Darrell |
| 2017 | ICCV | Localizing Moments in Video with Natural Language. | Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, Bryan C. Russell |
| 2017 | ICCV | Learning to Reason: End-to-End Module Networks for Visual Question Answering. | Ronghang Hu, Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Kate Saenko |
| 2017 | ICCV | Generalized Orderless Pooling Performs Implicit Salient Matching. | Marcel Simon, Yang Gao, Trevor Darrell, Joachim Denzler, Erik Rodner |
| 2017 | ICLR | Adversarial Feature Learning. | Jeff Donahue, Philipp Krhenbhl, Trevor Darrell |
| 2017 | ICLR | Loss is its own Reward: Self-Supervision for Reinforcement Learning. | Evan Shelhamer, Parsa Mahmoudieh, Max Argus, Trevor Darrell |
| 2017 | ICLR | Adversarial Discriminative Domain Adaptation (workshop extended abstract). | Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell |
| 2017 | ICML | Curiosity-driven Exploration by Self-supervised Prediction. | Deepak Pathak, Pulkit Agrawal, Alexei A. Efros, Trevor Darrell |
| 2017 | ICRA | Learning modular neural network policies for multi-task and multi-robot transfer. | Coline Devin, Abhishek Gupta, Trevor Darrell, Pieter Abbeel, Sergey Levine |
| 2017 | WWW | Visual Discovery at Pinterest. | Andrew Zhai, Dmitry Kislyuk, Yushi Jing, Michael Feng, Eric Tzeng, Jeff Donahue, Yue Li Du, Trevor Darrell |
| 2016 | CVPR | Neural Module Networks. | Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein |
| 2016 | CVPR | Compact Bilinear Pooling. | Yang Gao, Oscar Beijbom, Ning Zhang, Trevor Darrell |
| 2016 | CVPR | Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data. | Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko, Trevor Darrell |
| 2016 | CVPR | Learning with Side Information through Modality Hallucination. | Judy Hoffman, Saurabh Gupta, Trevor Darrell |
| 2016 | CVPR | Natural Language Object Retrieval. | Ronghang Hu, Huazhe Xu, Marcus Rohrbach, Jiashi Feng, Kate Saenko, Trevor Darrell |
| 2016 | CVPR | Context Encoders: Feature Learning by Inpainting. | Deepak Pathak, Philipp Krhenbhl, Jeff Donahue, Trevor Darrell, Alexei A. Efros |
| 2016 | ECCV | Best Practices for Fine-Tuning Visual Classifiers to New Domains. | Brian Chu, Vashisht Madhavan, Oscar Beijbom, Judy Hoffman, Trevor Darrell |
| 2016 | ECCV | Generating Visual Explanations. | Lisa Anne Hendricks, Zeynep Akata, Marcus Rohrbach, Jeff Donahue, Bernt Schiele, Trevor Darrell |
| 2016 | ECCV | Segmentation from Natural Language Expressions. | Ronghang Hu, Marcus Rohrbach, Trevor Darrell |
| 2016 | ECCV | Grounding of Textual Phrases in Images by Reconstruction. | Anna Rohrbach, Marcus Rohrbach, Ronghang Hu, Trevor Darrell, Bernt Schiele |
| 2016 | ECCV | Clockwork Convnets for Video Semantic Segmentation. | Evan Shelhamer, Kate Rakelly, Judy Hoffman, Trevor Darrell |
| 2016 | EMNLP | Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding. | Akira Fukui, Dong Huk Park, Daylen Yang, Anna Rohrbach, Trevor Darrell, Marcus Rohrbach |
| 2016 | ICRA | Deep spatial autoencoders for visuomotor learning. | Chelsea Finn, Xin Yu Tan, Yan Duan, Trevor Darrell, Sergey Levine, Pieter Abbeel |
| 2016 | ICRA | Deep learning for tactile understanding from visual and haptic data. | Yang Gao, Lisa Anne Hendricks, Katherine J. Kuchenbecker, Trevor Darrell |
| 2016 | ICRA | Cross-modal adaptation for RGB-D detection. | Judy Hoffman, Saurabh Gupta, Jian Leong, Sergio Guadarrama, Trevor Darrell |
| 2016 | ICRA | TSC-DL: Unsupervised trajectory segmentation of multi-modal surgical demonstrations with Deep Learning. | Adithyavairavan Murali, Animesh Garg, Sanjay Krishnan, Florian T. Pokorny, Pieter Abbeel, Trevor Darrell, Ken Goldberg |
| 2016 | NAACL | Learning to Compose Neural Networks for Question Answering. | Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein |
| 2016 | WAFR | Adapting Deep Visuomotor Representations with Weak Pairwise Constraints. | Eric Tzeng, Coline Devin, Judy Hoffman, Chelsea Finn, Pieter Abbeel, Sergey Levine, Kate Saenko, Trevor Darrell |
| 2015 | CVPR | Long-term recurrent convolutional networks for visual recognition and description. | Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Trevor Darrell, Kate Saenko |
| 2015 | CVPR | Deformable part models are convolutional neural networks. | Ross B. Girshick, Forrest N. Iandola, Trevor Darrell, Jitendra Malik |
| 2015 | CVPR | Detector discovery in the wild: Joint multiple instance and representation learning. | Judy Hoffman, Deepak Pathak, Trevor Darrell, Kate Saenko |
| 2015 | CVPR | Fully convolutional networks for semantic segmentation. | Jonathan Long, Evan Shelhamer, Trevor Darrell |
| 2015 | ICCV | Learning the Structure of Deep Convolutional Networks. | Jiashi Feng, Trevor Darrell |
| 2015 | ICCV | Spatial Semantic Regularisation for Large Scale Object Detection. | Damian Mrowca, Marcus Rohrbach, Judy Hoffman, Ronghang Hu, Kate Saenko, Trevor Darrell |
| 2015 | ICCV | Constrained Convolutional Neural Networks for Weakly Supervised Segmentation. | Deepak Pathak, Philipp Krhenbhl, Trevor Darrell |
| 2015 | ICCV | Simultaneous Deep Transfer Across Domains and Tasks. | Eric Tzeng, Judy Hoffman, Trevor Darrell, Kate Saenko |
| 2015 | ICCV | Sequence to Sequence - Video to Text. | Subhashini Venugopalan, Marcus Rohrbach, Jeffrey Donahue, Raymond J. Mooney, Trevor Darrell, Kate Saenko |
| 2014 | BMVC | Recognizing Image Style. | Sergey Karayev, Matthew Trentacoste, Helen Han, Aseem Agarwala, Trevor Darrell, Aaron Hertzmann, Holger Winnemoeller |
| 2014 | CVPR | Learning Scalable Discriminative Dictionary with Sample Relatedness. | Jiashi Feng, Stefanie Jegelka, Shuicheng Yan, Trevor Darrell |
| 2014 | CVPR | Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation. | Ross B. Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik |
| 2014 | CVPR | Continuous Manifold Based Adaptation for Evolving Visual Domains. | Judy Hoffman, Trevor Darrell, Kate Saenko |
| 2014 | CVPR | Anytime Recognition of Objects and Scenes. | Sergey Karayev, Mario Fritz, Trevor Darrell |
| 2014 | CVPR | PANDA: Pose Aligned Networks for Deep Attribute Modeling. | Ning Zhang, Manohar Paluri, Marc'Aurelio Ranzato, Trevor Darrell, Lubomir D. Bourdev |
| 2014 | ECCV | Part-Based R-CNNs for Fine-Grained Category Detection. | Ning Zhang, Jeff Donahue, Ross B. Girshick, Trevor Darrell |
| 2014 | ICML | DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition. | Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell |
| 2014 | ICML | On learning to localize objects with minimal supervision. | Hyun Oh Song, Ross B. Girshick, Stefanie Jegelka, Julien Mairal, Zad Harchaoui, Trevor Darrell |
| 2014 | ICRA | Interactive adaptation of real-time object detectors. | Daniel Goehring, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell |
| 2013 | CVPR | Semi-supervised Domain Adaptation with Instance Constraints. | Jeff Donahue, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell |
| 2013 | ICCV | YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition. | Sergio Guadarrama, Niveda Krishnamoorthy, Girish Malkarnenkar, Subhashini Venugopalan, Raymond J. Mooney, Trevor Darrell, Kate Saenko |
| 2013 | ICCV | Latent Task Adaptation with Large-Scale Hierarchies. | Yangqing Jia, Trevor Darrell |
| 2013 | ICCV | Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction. | Ning Zhang, Ryan Farrell, Forrest N. Iandola, Trevor Darrell |
| 2013 | ICML | Discriminatively Activated Sparselets. | Ross B. Girshick, Hyun Oh Song, Trevor Darrell |
| 2013 | ICML | On Compact Codes for Spatially Pooled Features. | Yangqing Jia, Oriol Vinyals, Trevor Darrell |
| 2013 | ICRA | Using robotic exploratory procedures to learn the meaning of haptic adjectives. | Vivian Chu, Ian McMahon, Lorenzo Riano, Craig G. McDonald, Qin He, Jorge Martinez Perez-Tejada, Michael Arrigo, Naomi T. Fitter, John C. Nappo, Trevor Darrell, Katherine J. Kuchenbecker |
| 2013 | IROS | Grounding spatial relations for human-robot interaction. | Sergio Guadarrama, Lorenzo Riano, Dave Golland, Daniel Ghring, Yangqing Jia, Dan Klein, Pieter Abbeel, Trevor Darrell |
| 2012 | CVPR | Beyond spatial pyramids: Receptive field learning for pooled image features. | Yangqing Jia, Chang Huang, Trevor Darrell |
| 2012 | CVPR | From pixels to physics: Probabilistic color de-rendering. | Ying Xiong, Kate Saenko, Trevor Darrell, Todd E. Zickler |
| 2012 | CVPR | Pose pooling kernels for sub-category recognition. | Ning Zhang, Ryan Farrell, Trevor Darrell |
| 2012 | ECCV | Discovering Latent Domains for Multisource Domain Adaptation. | Judy Hoffman, Brian Kulis, Trevor Darrell, Kate Saenko |
| 2012 | ECCV | Sparselet Models for Efficient Multiclass Object Detection. | Hyun Oh Song, Stefan Zickler, Tim Althoff, Ross B. Girshick, Mario Fritz, Christopher Geyer, Pedro F. Felzenszwalb, Trevor Darrell |
| 2012 | UAI | Factorized Multi-Modal Topic Model. | Seppo Virtanen, Yangqing Jia, Arto Klami, Trevor Darrell |
| 2011 | CVPR | A probabilistic model for recursive factorized image features. | Sergey Karayev, Mario Fritz, Sanja Fidler, Trevor Darrell |
| 2011 | CVPR | What you saw is not what you get: Domain adaptation using asymmetric kernel transforms. | Brian Kulis, Kate Saenko, Trevor Darrell |
| 2011 | CVPR | Learning object color models from multi-view constraints. | Trevor Owens, Kate Saenko, Ayan Chakrabarti, Ying Xiong, Todd E. Zickler, Trevor Darrell |
| 2011 | CVPR | Supervised hierarchical Pitman-Yor process for natural scene segmentation. | Alex Shyr, Trevor Darrell, Michael I. Jordan, Raquel Urtasun |
| 2011 | ICCV | Birdlets: Subordinate categorization using volumetric primitives and pose-normalized appearance. | Ryan Farrell, Om Oza, Ning Zhang, Vlad I. Morariu, Trevor Darrell, Larry S. Davis |
| 2011 | ICCV | Learning cross-modality similarity for multinomial data. | Yangqing Jia, Mathieu Salzmann, Trevor Darrell |
| 2011 | ICCV | The NBNN kernel. | Tinne Tuytelaars, Mario Fritz, Kate Saenko, Trevor Darrell |
| 2011 | ICRA | Parametrized shape models for clothing. | Stephen Miller, Mario Fritz, Trevor Darrell, Pieter Abbeel |
| 2011 | IROS | Practical 3-D object detection using category and instance-level appearance models. | Kate Saenko, Sergey Karayev, Yangqing Jia, Alex Shyr, Allison Janoch, Jonathan Long, Mario Fritz, Trevor Darrell |
| 2011 | IROS | Perception for the manipulation of socks. | Ping Chuan Wang, Stephen Miller, Mario Fritz, Trevor Darrell, Pieter Abbeel |
| 2010 | ECCV | Learning to Recognize Objects from Unseen Modalities. | C. Mario Christoudias, Raquel Urtasun, Mathieu Salzmann, Trevor Darrell |
| 2010 | ECCV | Adapting Visual Category Models to New Domains. | Kate Saenko, Brian Kulis, Mario Fritz, Trevor Darrell |
| 2009 | CVPR | Co-training with noisy perceptual observations. | C. Mario Christoudias, Raquel Urtasun, Ashish Kapoor, Trevor Darrell |
| 2009 | CVPR | Rank priors for continuous non-linear dimensionality reduction. | Andreas Geiger, Raquel Urtasun, Trevor Darrell |
| 2009 | CVPR | Fast concurrent object localization and recognition. | Tom Yeh, John J. Lee, Trevor Darrell |
| 2009 | EACL | Who is "You"? Combining Linguistic and Gaze Features to Resolve Second-Person References in Dialogue. | Matthew Frampton, Raquel Fernndez, Patrick Ehlen, C. Mario Christoudias, Trevor Darrell, Stanley Peters |
| 2009 | ICML | An efficient projection for | Ariadna Quattoni, Xavier Carreras, Michael Collins, Trevor Darrell |
| 2009 | IUI | Invited talk: image recognition for intelligent interfaces. | Trevor Darrell |
| 2008 | CVPR | Unsupervised feature selection via distributed coding for multi-view object recognition. | C. Mario Christoudias, Raquel Urtasun, Trevor Darrell |
| 2008 | CVPR | Transfer learning for image classification with sparse prototype representations. | Ariadna Quattoni, Michael Collins, Trevor Darrell |
| 2008 | CVPR | Autotagging Facebook: Social network context improves photo annotation. | Zak Stone, Todd E. Zickler, Trevor Darrell |
| 2008 | CVPR | Sparse probabilistic regression for activity-independent human pose inference. | Raquel Urtasun, Trevor Darrell |
| 2008 | CVPR | Dynamic visual category learning. | Tom Yeh, Trevor Darrell |
| 2008 | CVPR | Scalable classifiers for Internet vision tasks. | Tom Yeh, John J. Lee, Trevor Darrell |
| 2008 | ICML | Topologically-constrained latent variable models. | Raquel Urtasun, David J. Fleet, Andreas Geiger, Jovan Popovic, Trevor Darrell, Neil D. Lawrence |
| 2008 | IUI | Multimodal question answering for mobile devices. | Tom Yeh, Trevor Darrell |
| 2007 | CVPR | Pyramid Match Hashing: Sub-Linear Time Indexing Over Partial Correspondences. | Kristen Grauman, Trevor Darrell |
| 2007 | CVPR | Latent-Dynamic Discriminative Models for Continuous Gesture Recognition. | Louis-Philippe Morency, Ariadna Quattoni, Trevor Darrell |
| 2007 | CVPR | Learning Visual Representations using Images with Captions. | Ariadna Quattoni, Michael Collins, Trevor Darrell |
| 2007 | ICCV | Active Learning with Gaussian Processes for Object Categorization. | Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Trevor Darrell |
| 2007 | ICCV | Adaptive Vocabulary Forests br Dynamic Indexing and Category Learning. | Tom Yeh, John J. Lee, Trevor Darrell |
| 2007 | ICINCO | Multimodal communication error detection for driver-car interaction. | Sy Bor Wang, David Demirdjian, Trevor Darrell, Hedvig Kjellstrm |
| 2007 | ICMI | Detecting communication errors from visual cues during the system's conversational turn. | Sy Bor Wang, David Demirdjian, Trevor Darrell |
| 2007 | ICML | Discriminative Gaussian process latent variable model for classification. | Raquel Urtasun, Trevor Darrell |
| 2006 | AAAI | The Role of Context in Head Gesture Recognition. | Louis-Philippe Morency, Candace L. Sidner, Christopher Lee, Trevor Darrell |
| 2006 | CVPR | Unsupervised Learning of Categories from Sets of Partially Matching Image Features. | Kristen Grauman, Trevor Darrell |
| 2006 | CVPR | Conditional Random People: Tracking Humans with CRFs and Grid Filters. | Leonid Taycher, David Demirdjian, Trevor Darrell, Gregory Shakhnarovich |
| 2006 | CVPR | Hidden Conditional Random Fields for Gesture Recognition. | Sy Bor Wang, Ariadna Quattoni, Louis-Philippe Morency, David Demirdjian, Trevor Darrell |
| 2006 | ICMI | Co-Adaptation of audio-visual speech and gesture classifiers. | C. Mario Christoudias, Kate Saenko, Louis-Philippe Morency, Trevor Darrell |
| 2006 | ICMI | Recognizing gaze aversion gestures in embodied conversational discourse. | Louis-Philippe Morency, C. Mario Christoudias, Trevor Darrell |
| 2006 | IUI | Head gesture recognition in intelligent interfaces: the role of context in improving recognition. | Louis-Philippe Morency, Trevor Darrell |