Trevor Darrell

UnSAMv2: Self-Supervised Learning Enables Segment Anything at Any Granularity

Junwei Yu, Trevor Darrell, XuDong Wang

机构 * UC Berkeley（加州大学伯克利分校） 纠错

REOrdering Patches Improves Vision Models

Declan Kutscher, David M. Chan, Yutong Bai, Trevor Darrell, Ritwik Gupta

机构 * University of Pittsburgh（匹兹堡大学） ； University of California, Berkeley（加州大学伯克利分校） 纠错

Comments Accepted to the 39th Conference on Neural Information Processing Systems (NeurIPS 2025)

Generate, but Verify: Reducing Hallucination in Vision-Language Models with Retrospective Resampling

Tsung-Han Wu, Heekyung Lee, Jiaxin Ge, Joseph E. Gonzalez, Trevor Darrell, David M. Chan

机构 * UC Berkeley（加州大学伯克利分校） ； POSTECH 纠错

Comments Accepted to NeurIPS 2025; Project Page: https://reverse-vlm.github.io

Constantly Improving Image Models Need Constantly Improving Benchmarks

Jiaxin Ge, Grace Luo, Heekyung Lee, Nishant Malpani, Long Lian, XuDong Wang, Aleksander Holynski, Trevor Darrell, Sewon Min, David M. Chan

机构 * UC Berkeley（伯克利大学） 纠错

Visualizing Thought: Conceptual Diagrams Enable Robust Planning in LMMs

Nasim Borazjanizadeh, Roei Herzig, Eduard Oks, Trevor Darrell, Rogerio Feris, Leonid Karlinsky

机构 * Xero Inc.（Xero公司） ； Berkeley AI Research, UC Berkeley（伯克利人工智能研究实验室，伯克利大学） ； MIT–IBM Watson AI Lab（麻省理工–IBM沃森人工智能实验室） 纠错

LeVERB: Humanoid Whole-Body Control with Latent Vision-Language Instruction

Haoru Xue, Xiaoyu Huang, Dantong Niu, Qiayuan Liao, Thomas Kragerud, Jan Tommy Gravdahl, Xue Bin Peng, Guanya Shi, Trevor Darrell, Koushil Sreenath, Shankar Sastry

机构 * University of California Berkeley（加州大学伯克利分校） ； Norwegian University of Science and Technology（挪威科学与技术大学） ； Simon Fraser University（西蒙弗雷泽大学） ； Carnegie Mellon University（卡内基梅隆大学） 纠错

Comments https://ember-lab-berkeley.github.io/LeVERB-Website/

The Sound of Simulation: Learning Multimodal Sim-to-Real Robot Policies with Generative Audio

Renhao Wang, Haoran Geng, Tingle Li, Feishi Wang, Gopala Anumanchipalli, Trevor Darrell, Boyi Li, Pieter Abbeel, Jitendra Malik, Alexei A. Efros

机构 * University of California, Berkeley（加州大学伯克利分校） 纠错

Comments Conference on Robot Learning 2025

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

机构 * POSTECH ； University of California, Berkeley（加州大学伯克利分校） 纠错

Comments EMNLP 2025 Main Conference

Navigating the Labyrinth: Evaluating LLMs' Ability to Reason About Search Problems

Nasim Borazjanizadeh, Roei Herzig, Trevor Darrell, Rogerio Feris, Leonid Karlinsky

Discovering Divergent Representations between Text-to-Image Models

Lisa Dunlap, Joseph E. Gonzalez, Trevor Darrell, Fabian Caba Heilbron, Josef Sivic, Bryan Russell

Comments Accepted to ICCV 2025. Code available at https://github.com/adobe-research/CompCon

Visual Imitation Enables Contextual Humanoid Control

Arthur Allshire, Hongsuk Choi, Junyi Zhang, David McAllister, Anthony Zhang, Chung Min Kim, Trevor Darrell, Pieter Abbeel, Jitendra Malik, Angjoo Kanazawa

机构 * UC Berkeley（伯克利大学） 纠错

Comments Project website: https://www.videomimic.net/

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

机构 * University of California, Berkeley（加州大学伯克利分校） 纠错

Comments 9 pages, 2 figures, 1 table

Learning Adaptive Parallel Reasoning with Language Models

Jiayi Pan, Xiuyu Li, Long Lian, Charlie Snell, Yifei Zhou, Adam Yala, Trevor Darrell, Kurt Keutzer, Alane Suhr

机构 * UC Berkeley（加州大学伯克利分校） ； UCSF（旧金山大学） 纠错

Comments Accepted at COLM 2025. Code, model, and data are available at https://github.com/Parallel-Reasoning/APR. The first three authors contributed equally to this work

CLAIR-A: Leveraging Large Language Models to Judge Audio Captions

Tsung-Han Wu, Joseph E. Gonzalez, Trevor Darrell, David M. Chan

机构 * Department of Electrical Engineering and Computer Science (EECS)（电气工程与计算机科学系） 纠错

Comments Accepted to ASRU 2025; Code is publicly available at https://github.com/DavidMChan/clair-a

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

机构 * UC Berkeley（加州大学伯克利分校） ； NVIDIA（英伟达） 纠错

Comments CVPR 2025. Project Page: https://nvlabs.github.io/PS3

Activation Reward Models for Few-Shot Model Alignment

Tianning Chai, Chancharik Mitra, Brandon Huang, Gautam Rajendrakumar Gare, Zhiqiu Lin, Assaf Arbelle, Leonid Karlinsky, Rogerio Feris, Trevor Darrell, Deva Ramanan, Roei Herzig

机构 * University of California, Berkeley（加州大学伯克利分校） ； Carnegie Mellon University（卡内基梅隆大学） ； IBM Research（IBM研究院） ； MIT-IBM Watson AI Lab（MIT-IBM沃森人工智能实验室） 纠错

Enough Coin Flips Can Make LLMs Act Bayesian

Ritwik Gupta, Rodolfo Corona, Jiaxin Ge, Eric Wang, Dan Klein, Trevor Darrell, David M. Chan

机构 * University of California, Berkeley（加州大学伯克利分校） 纠错

Comments ACL 2025 Main

Whole-Body Conditioned Egocentric Video Prediction

Yutong Bai, Danny Tran, Amir Bar, Yann LeCun, Trevor Darrell, Jitendra Malik

机构 * UC Berkeley (BAIR)（伯克利大学（BAIR）） ； FAIR, Meta（Meta 公司 FAIR 实验室） ； New York University（纽约大学） 纠错

Comments Project Page: https://dannytran123.github.io/PEVA

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

机构 * University of California, Berkeley（加州大学伯克利分校） ； Carnegie Mellon University（卡内基梅隆大学） 纠错

Hidden in plain sight: VLMs overlook their visual representations

Stephanie Fu, Tyler Bonnen, Devin Guillory, Trevor Darrell

机构 * UC Berkeley（伯克利大学） 纠错

Comments Project page: https://hidden-plain-sight.github.io/

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features

Chancharik Mitra, Brandon Huang, Tianning Chai, Zhiqiu Lin, Assaf Arbelle, Rogerio Feris, Leonid Karlinsky, Trevor Darrell, Deva Ramanan, Roei Herzig

机构 * Carnegie Mellon University（卡内基梅隆大学） ； University of California, Berkeley（加州大学伯克利分校） ； IBM Research（IBM研究院） ； MIT-IBM Watson AI Lab（麻省理工-IBM沃森人工智能实验室） 纠错

Dual-Process Image Generation

Grace Luo, Jonathan Granskog, Aleksander Holynski, Trevor Darrell

机构 * UC Berkeley（伯克利大学） ； Runway 纠错

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

Pose Priors from Language Models

Sanjay Subramanian, Evonne Ng, Lea Müller, Dan Klein, Shiry Ginosar, Trevor Darrell

机构 * University of California, Berkeley（加州大学伯克利分校） ； Google DeepMind（谷歌DeepMind） ； Toyota Technological Institute at Chicago（丰田技术研究所（芝加哥）） 纠错

Comments CVPR 2025

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Embodiment Collaboration, Abby O'Neill, Abdul Rehman, Abhinav Gupta, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alex Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Andrey Kolobov, 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 Schölkopf, 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 Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Felipe Vieira Frujeri, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guangwen Yang, Guanzhi Wang, Hao Su, Hao-Shu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I Christensen, Hiroki Furuta, Homanga Bharadhwaj, 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, Jay Vakil, Jeannette Bohg, Jeffrey 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, João Silvério, 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, Muhammad Zubair Irshad, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J Joshi, Niko Suenderhauf, 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 Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham Sonawani, Shubham Tulsiani, 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, Vikash Kumar, Vincent Vanhoucke, Vitor Guizilini, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiangyu Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Xu Liangwei, Xuanlin Li, Yansong Pang, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yongqiang Dou, 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 Fu, Zipeng Lin

Comments Project website: https://robotics-transformer-x.github.io

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

机构 * UC Berkeley（加州大学伯克利分校） ； Google DeepMind（谷歌DeepMind） ； Stability AI ； UC Merced（加州大学默塞德分校） 纠错

Comments Accepted by ICLR 25, Project page: https://monst3r-project.github.io/

Vision-Language Models Create Cross-Modal Task Representations

Grace Luo, Trevor Darrell, Amir Bar

机构 * University of California, Berkeley, USA（加州大学伯克利分校） 纠错

Comments ICML 2025

LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery

Jerome Quenum, Wen-Han Hsieh, Tsung-Han Wu, Ritwik Gupta, Trevor Darrell, David M. Chan

机构 * Department of Electrical Engineering and Computer Sciences, University of California-Berkeley, Berkeley, CA, USA（电气工程与计算机科学系，加州大学伯克利分校） 纠错

Comments 28 pages, 10 figures, 19 tables

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

Comments Project page: https://describe-anything.github.io/

VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models

Lisa Dunlap, Krishna Mandal, Trevor Darrell, Jacob Steinhardt, Joseph E Gonzalez

机构 * UC Berkeley（加州大学伯克利分校） 纠错

Comments unironic use of the word 'vibe', added more analysis and cooler graphs. added website link