Darrell, Trevor

332 publications

ICLR 2025 A Coefficient Makes SVRG Effective Yida Yin, Zhiqiu Xu, Zhiyuan Li, Trevor Darrell, Zhuang Liu

CVPR 2025 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

ICCV 2025 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

ICCV 2025 Discovering Divergent Representations Between Text-to-Image Models Lisa Dunlap, Joseph E. Gonzalez, Trevor Darrell, Fabian Caba Heilbron, Josef Sivic, Bryan Russell

ICCV 2025 Dual-Process Image Generation Grace Luo, Jonathan Granskog, Aleksander Holynski, Trevor Darrell

ICCV 2025 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

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

NeurIPS 2025 LISAt: Language-Instructed Segmentation Assistant for Satellite Imagery Jerome Quenum, Wen-Han Hsieh, Tsung-Han Wu, Ritwik Gupta, Trevor Darrell, David M. Chan

ICLR 2025 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

CVPR 2025 Navigation World Models Amir Bar, Gaoyue Zhou, Danny Tran, Trevor Darrell, Yann LeCun

CVPR 2025 Pose Priors from Language Models Sanjay Subramanian, Evonne Ng, Lea Müller, Dan Klein, Shiry Ginosar, Trevor Darrell

ICML 2025 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

NeurIPS 2025 REOrdering Patches Improves Vision Models Declan Kutscher, David M. Chan, Yutong Bai, Trevor Darrell, Ritwik Gupta

TMLR 2025 Rethinking Patch Dependence for Masked Autoencoders Letian Fu, Long Lian, Renhao Wang, Baifeng Shi, XuDong Wang, Adam Yala, Trevor Darrell, Alexei A Efros, Ken Goldberg

ICLR 2025 Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs) Leander Girrbach, Stephan Alaniz, Yiran Huang, Trevor Darrell, Zeynep Akata

CVPR 2025 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

ICLR 2025 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

ICCV 2025 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

CoRL 2025 The Sound of Simulation: Learning Multimodal Sim-to-Real Robot Policies with Generative Audio Renhao Wang, Haoran Geng, Tingle Li, Philipp Wu, Feishi Wang, Gopala Anumanchipalli, Trevor Darrell, Boyi Li, Pieter Abbeel, Jitendra Malik, Alexei A Efros

ICLR 2025 VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models Lisa Dunlap, Krishna Mandal, Trevor Darrell, Jacob Steinhardt, Joseph E. Gonzalez

ICLR 2025 Video Action Differencing James Burgess, Xiaohan Wang, Yuhui Zhang, Anita Rau, Alejandro Lozano, Lisa Dunlap, Trevor Darrell, Serena Yeung-Levy

ICML 2025 Vision-Language Models Create Cross-Modal Task Representations Grace Luo, Trevor Darrell, Amir Bar

CVPR 2025 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

ICLR 2025 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 Chan

CoRL 2025 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

CVPR 2025 Visual Lexicon: Rich Image Features in Language Space XuDong Wang, Xingyi Zhou, Alireza Fathi, Trevor Darrell, Cordelia Schmid

NeurIPS 2025 Whole-Body Conditioned Egocentric Video Prediction Yutong Bai, Danny Tran, Amir Bar, Yann LeCun, Trevor Darrell, Jitendra Malik

TMLR 2025 Wolf: Dense Video Captioning with a World Summarization Framework Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Linxi Fan, Yuke Zhu, Jan Kautz, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone

CVPR 2024 Compositional Chain-of-Thought Prompting for Large Multimodal Models Chancharik Mitra, Brandon Huang, Trevor Darrell, Roei Herzig

NeurIPS 2024 ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs Irene Huang, Wei Lin, M. Jehanzeb Mirza, Jacob A. Hansen, Sivan Doveh, Victor Ion Butoi, Roei Herzig, Assaf Arbelle, Hilde Kuehne, Trevor Darrell, Chuang Gan, Aude Oliva, Rogerio Feris, Leonid Karlinsky

CVPR 2024 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

ECCV 2024 EgoPet: Egomotion and Interaction Data from an Animal's Perspective Amir Bar, Arya Bakhtiar, Danny L Tran, Antonio Loquercio, Jathushan Rajasegaran, Yann Lecun, Amir Globerson, Trevor Darrell

ECCV 2024 Finding Visual Task Vectors Alberto Hojel, Yutong Bai, Trevor Darrell, Amir Globerson, Amir Bar

ICMLW 2024 Finding Visual Task Vectors Alberto Hojel, Yutong Bai, Trevor Darrell, Amir Globerson, Amir Bar

CVPR 2024 From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations Evonne Ng, Javier Romero, Timur Bagautdinov, Shaojie Bai, Trevor Darrell, Angjoo Kanazawa, Alexander Richard

NeurIPS 2024 Humanoid Locomotion as Next Token Prediction Ilija Radosavovic, Bike Zhang, Baifeng Shi, Jathushan Rajasegaran, Sarthak Kamat, Trevor Darrell, Koushil Sreenath, Jitendra Malik

ICML 2024 Hyperbolic Active Learning for Semantic Segmentation Under Domain Shift Luca Franco, Paolo Mandica, Konstantinos Kallidromitis, Devin Guillory, Yu-Teng Li, Trevor Darrell, Fabio Galasso

TMLR 2024 IMProv: Inpainting-Based Multimodal Prompting for Computer Vision Tasks Jiarui Xu, Yossi Gandelsman, Amir Bar, Jianwei Yang, Jianfeng Gao, Trevor Darrell, Xiaolong Wang

ICLR 2024 Initializing Models with Larger Ones Zhiqiu Xu, Yanjie Chen, Kirill Vishniakov, Yida Yin, Zhiqiang Shen, Trevor Darrell, Lingjie Liu, Zhuang Liu

CVPR 2024 InstanceDiffusion: Instance-Level Control for Image Generation Xudong Wang, Trevor Darrell, Sai Saketh Rambhatla, Rohit Girdhar, Ishan Misra

CoRL 2024 LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning Dantong Niu, Yuvan Sharma, Giscard Biamby, Jerome Quenum, Yutong Bai, Baifeng Shi, Trevor Darrell, Roei Herzig

TMLR 2024 LLM-Grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models Long Lian, Boyi Li, Adam Yala, Trevor Darrell

ICLR 2024 LLM-Grounded Video Diffusion Models Long Lian, Baifeng Shi, Adam Yala, Trevor Darrell, Boyi Li

ICLR 2024 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

NeurIPS 2024 Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning Brandon Huang, Chancharik Mitra, Assaf Arbelle, Leonid Karlinsky, Trevor Darrell, Roei Herzig

WACV 2024 Multitask Vision-Language Prompt Tuning Sheng Shen, Shijia Yang, Tianjun Zhang, Bohan Zhai, Joseph E. Gonzalez, Kurt Keutzer, Trevor Darrell

CVPR 2024 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

ICML 2024 Position: Near to Mid-Term Risks and Opportunities of Open-Source Generative AI Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schroeder 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 Rottger, Philip Torr, Trevor Darrell, Yong Suk Lee, Jakob Nicolaus Foerster

WACV 2024 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

CVPR 2024 Readout Guidance: Learning Control from Diffusion Features Grace Luo, Trevor Darrell, Oliver Wang, Dan B Goldman, Aleksander Holynski

ECCV 2024 Recursive Visual Programming Jiaxin Ge, Sanjay Subramanian, Baifeng Shi, Roei Herzig, Trevor Darrell

NeurIPSW 2024 Rethinking Patch Dependence for Masked Autoencoders Letian Fu, Long Lian, Renhao Wang, Baifeng Shi, XuDong Wang, Adam Yala, Trevor Darrell, Alexei A Efros, Ken Goldberg

CVPR 2024 See Say and Segment: Teaching LMMs to Overcome False Premises Tsung-Han Wu, Giscard Biamby, David Chan, Lisa Dunlap, Ritwik Gupta, Xudong Wang, Joseph E. Gonzalez, Trevor Darrell

NeurIPS 2024 Segment Anything Without Supervision XuDong Wang, Jingfeng Yang, Trevor Darrell

CVPR 2024 Self-Correcting LLM-Controlled Diffusion Models Tsung-Han Wu, Long Lian, Joseph E. Gonzalez, Boyi Li, Trevor Darrell

CVPR 2024 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

WACV 2024 Shape-Guided Diffusion with Inside-Outside Attention Dong Huk Park, Grace Luo, Clayton Toste, Samaneh Azadi, Xihui Liu, Maka Karalashvili, Anna Rohrbach, Trevor Darrell

WACV 2024 Simple Token-Level Confidence Improves Caption Correctness Suzanne Petryk, Spencer Whitehead, Joseph E. Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach

ICML 2024 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

ICLR 2024 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

CVPR 2024 Unsupervised Universal Image Segmentation Dantong Niu, Xudong Wang, Xinyang Han, Long Lian, Roei Herzig, Trevor Darrell

CVPR 2024 VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation Xudong Wang, Ishan Misra, Ziyun Zeng, Rohit Girdhar, Trevor Darrell

ECCV 2024 When Do We Not Need Larger Vision Models? Baifeng Shi, Ziyang Wu, Maolin Mao, Xin Wang, Trevor Darrell

NeurIPSW 2024 When Do We Not Need Larger Vision Models? Baifeng Shi, Ziyang Wu, Maolin Mao, Xin Wang, Trevor Darrell

NeurIPS 2024 When Does Perceptual Alignment Benefit Vision Representations? Shobhita Sundaram, Stephanie Fu, Lukas Muttenthaler, Netanel Tamir, Lucy Chai, Simon Kornblith, Trevor Darrell, Phillip Isola

NeurIPSW 2024 Wolf: Captioning Everything with a World Summarization Framework Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone

ICML 2024 xT: Nested Tokenization for Larger Context in Large Images Ritwik Gupta, Shufan Li, Tyler Zhu, Jitendra Malik, Trevor Darrell, Karttikeya Mangalam

CVPR 2023 Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang

ICCV 2023 Can Language Models Learn to Listen? Evonne Ng, Sanjay Subramanian, Dan Klein, Angjoo Kanazawa, Trevor Darrell, Shiry Ginosar

NeurIPS 2023 Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence Grace Luo, Lisa Dunlap, Dong Huk Park, Aleksander Holynski, Trevor Darrell

NeurIPS 2023 Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation Lisa Dunlap, Alyssa Umino, Han Zhang, Jiezhi Yang, Joseph E Gonzalez, Trevor Darrell

ICML 2023 Dropout Reduces Underfitting Zhuang Liu, Zhiqiu Xu, Joseph Jin, Zhiqiang Shen, Trevor Darrell

ICML 2023 Guiding Pretraining in Reinforcement Learning with Large Language Models Yuqing Du, Olivia Watkins, Zihan Wang, Cédric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta, Jacob Andreas

NeurIPS 2023 Hierarchical Open-Vocabulary Universal Image Segmentation Xudong Wang, Shufan Li, Konstantinos Kallidromitis, Yusuke Kato, Kazuki Kozuka, Trevor Darrell

ICLRW 2023 Language Models Are Visual Reasoning Coordinators Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu

NeurIPS 2023 Large Language Models Are Visual Reasoning Coordinators Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu

WACV 2023 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

ICCVW 2023 Revisiting Generalizability in Deepfake Detection: Improving Metrics and Stabilizing Transfer Sarthak Kamat, Shruti Agarwal, Trevor Darrell, Anna Rohrbach

CoRL 2023 Robot Learning with Sensorimotor Pre-Training Ilija Radosavovic, Baifeng Shi, Letian Fu, Ken Goldberg, Trevor Darrell, Jitendra Malik

ICCV 2023 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

NeurIPSW 2023 Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game Sam Toyer, Olivia Watkins, Ethan Mendes, Justin Svegliato, Luke Bailey, Tiffany Wang, Isaac Ong, Karim Elmaaroufi, Pieter Abbeel, Trevor Darrell, Alan Ritter, Stuart Russell

NeurIPSW 2023 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

CVPR 2023 Top-Down Visual Attention from Analysis by Synthesis Baifeng Shi, Trevor Darrell, Xin Wang

ICLR 2023 Using Language to Extend to Unseen Domains Lisa Dunlap, Clara Mohri, Devin Guillory, Han Zhang, Trevor Darrell, Joseph E. Gonzalez, Aditi Raghunathan, Anna Rohrbach

WACV 2023 Watch Those Words: Video Falsification Detection Using Word-Conditioned Facial Motion Shruti Agarwal, Liwen Hu, Evonne Ng, Trevor Darrell, Hao Li, Anna Rohrbach

CVPR 2022 A ConvNet for the 2020s Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie

ICLR 2022 Anytime Dense Prediction with Confidence Adaptivity Zhuang Liu, Zhiqiu Xu, Hung-Ju Wang, Trevor Darrell, Evan Shelhamer

NeurIPS 2022 Bringing Image Scene Structure to Video via Frame-CLIP Consistency of Object Tokens Elad Ben Avraham, Roei Herzig, Karttikeya Mangalam, Amir Bar, Anna Rohrbach, Leonid Karlinsky, Trevor Darrell, Amir Globerson

CVPR 2022 Contrastive Test-Time Adaptation Dian Chen, Dequan Wang, Trevor Darrell, Sayna Ebrahimi

CVPR 2022 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

ICLR 2022 Differentiable Gradient Sampling for Learning Implicit 3D Scene Reconstructions from a Single Image Shizhan Zhu, Sayna Ebrahimi, Angjoo Kanazawa, Trevor Darrell

NeurIPS 2022 K-LITE: Learning Transferable Visual Models with External Knowledge Sheng Shen, Chunyuan Li, Xiaowei Hu, Yujia Xie, Jianwei Yang, Pengchuan Zhang, Zhe Gan, Lijuan Wang, Lu Yuan, Ce Liu, Kurt Keutzer, Trevor Darrell, Anna Rohrbach, Jianfeng Gao

ECCV 2022 Learning to Detect Every Thing in an Open World Kuniaki Saito, Ping Hu, Trevor Darrell, Kate Saenko

CVPR 2022 Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motion Evonne Ng, Hanbyul Joo, Liwen Hu, Hao Li, Trevor Darrell, Angjoo Kanazawa, Shiry Ginosar

CVPR 2022 Object-Region Video Transformers Roei Herzig, Elad Ben-Avraham, Karttikeya Mangalam, Amir Bar, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson

CVPR 2022 On Guiding Visual Attention with Language Specification Suzanne Petryk, Lisa Dunlap, Keyan Nasseri, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach

CoRL 2022 Real-World Robot Learning with Masked Visual Pre-Training Ilija Radosavovic, Tete Xiao, Stephen James, Pieter Abbeel, Jitendra Malik, Trevor Darrell

ECCV 2022 Reliable Visual Question Answering: Abstain Rather than Answer Incorrectly Spencer Whitehead, Suzanne Petryk, Vedaad Shakib, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach

WACV 2022 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

WACV 2022 Strumming to the Beat: Audio-Conditioned Contrastive Video Textures Medhini Narasimhan, Shiry Ginosar, Andrew Owens, Alexei A. Efros, Trevor Darrell

ECCV 2022 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

ECCV 2022 TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency Medhini Narasimhan, Arsha Nagrani, Chen Sun, Michael Rubinstein, Trevor Darrell, Anna Rohrbach, Cordelia Schmid

AAAI 2022 Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell, Eric Poe Xing

ICML 2022 Visual Attention Emerges from Recurrent Sparse Reconstruction Baifeng Shi, Yale Song, Neel Joshi, Trevor Darrell, Xin Wang

NeurIPS 2022 Visual Prompting via Image Inpainting Amir Bar, Yossi Gandelsman, Trevor Darrell, Amir Globerson, Alexei Efros

ICML 2022 Zero-Shot Reward Specification via Grounded Natural Language Parsa Mahmoudieh, Deepak Pathak, Trevor Darrell

ICLRW 2022 Zero-Shot Reward Specification via Grounded Natural Language Parsa Mahmoudieh, Deepak Pathak, Trevor Darrell

CVPR 2021 Body2Hands: Learning to Infer 3D Hands from Conversational Gesture Body Dynamics Evonne Ng, Shiry Ginosar, Trevor Darrell, Hanbyul Joo

NeurIPS 2021 CLIP-It! Language-Guided Video Summarization Medhini Narasimhan, Anna Rohrbach, Trevor Darrell

ICML 2021 Compositional Video Synthesis with Action Graphs Amir Bar, Roei Herzig, Xiaolong Wang, Anna Rohrbach, Gal Chechik, Trevor Darrell, Amir Globerson

ICLR 2021 Discovering Non-Monotonic Autoregressive Orderings with Variational Inference Xuanlin Li, Brandon Trabucco, Dong Huk Park, Michael Luo, Sheng Shen, Trevor Darrell, Yang Gao

NeurIPS 2021 Early Convolutions Help Transformers See Better Tete Xiao, Mannat Singh, Eric Mintun, Trevor Darrell, Piotr Dollar, Ross B. Girshick

CVPR 2021 Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Kurt Keutzer, Trevor Darrell, Han Zhao

ICCV 2021 Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning Yinbo Chen, Zhuang Liu, Huijuan Xu, Trevor Darrell, Xiaolong Wang

ICCV 2021 Predicting with Confidence on Unseen Distributions Devin Guillory, Vaishaal Shankar, Sayna Ebrahimi, Trevor Darrell, Ludwig Schmidt

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

CVPR 2021 Quasi-Dense Similarity Learning for Multiple Object Tracking Jiangmiao Pang, Linlu Qiu, Xia Li, Haofeng Chen, Qi Li, Trevor Darrell, Fisher Yu

ICCV 2021 Region Similarity Representation Learning Tete Xiao, Colorado J Reed, Xiaolong Wang, Kurt Keutzer, Trevor Darrell

ICLR 2021 Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control Zhuang Liu, Xuanlin Li, Bingyi Kang, Trevor Darrell

ICLR 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

ICCV 2021 Rethinking Preventing Class-Collapsing in Metric Learning with Margin-Based Losses Elad Levi, Tete Xiao, Xiaolong Wang, Trevor Darrell

ICCV 2021 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

CVPR 2021 SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning Colorado J Reed, Sean Metzger, Aravind Srinivas, Trevor Darrell, Kurt Keutzer

NeurIPS 2021 Teachable Reinforcement Learning via Advice Distillation Olivia Watkins, Abhishek Gupta, Trevor Darrell, Pieter Abbeel, Jacob Andreas

ICCV 2021 Temporal Action Detection with Multi-Level Supervision Baifeng Shi, Qi Dai, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu

ICLR 2021 Tent: Fully Test-Time Adaptation by Entropy Minimization Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno Olshausen, Trevor Darrell

ICCV 2021 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

ICLR 2021 What Should Not Be Contrastive in Contrastive Learning Tete Xiao, Xiaolong Wang, Alexei A Efros, Trevor Darrell

AAAI 2021 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

ECCV 2020 Adversarial Continual Learning Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach

NeurIPS 2020 Auxiliary Task Reweighting for Minimum-Data Learning Baifeng Shi, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu

NeurIPS 2020 Fighting Copycat Agents in Behavioral Cloning from Observation Histories Chuan Wen, Jierui Lin, Trevor Darrell, Dinesh Jayaraman, Yang Gao

ICML 2020 Frustratingly Simple Few-Shot Object Detection Xin Wang, Thomas Huang, Joseph Gonzalez, Trevor Darrell, Fisher Yu

ECCV 2020 Hierarchical Style-Based Networks for Motion Synthesis Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Xiaolong Wang, Trevor Darrell

ECCV 2020 Identity-Aware Multi-Sentence Video Description Jae Sung Park, Trevor Darrell, Anna Rohrbach

ECCV 2020 Learning Canonical Representations for Scene Graph to Image Generation Roei Herzig, Amir Bar, Huijuan Xu, Gal Chechik, Trevor Darrell, Amir Globerson

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

ICLR 2020 Uncertainty-Guided Continual Learning with Bayesian Neural Networks Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach

ICML 2020 Video Prediction via Example Guidance Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Trevor Darrell

ECCV 2020 Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning Zhekun Luo, Devin Guillory, Baifeng Shi, Wei Ke, Fang Wan, Trevor Darrell, Huijuan Xu

CVPRW 2019 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

CVPRW 2019 Adversarial Inference for Multi-Sentence Video Description Jae Sung Park, Marcus Rohrbach, Trevor Darrell, Anna Rohrbach

ICLR 2019 Algorithmic Framework for Model-Based Deep Reinforcement Learning with Theoretical Guarantees Yuping Luo, Huazhe Xu, Yuanzhi Li, Yuandong Tian, Trevor Darrell, Tengyu Ma

ICLRW 2019 Compositional GAN (Extended Abstract): Learning Image-Conditional Binary Composition Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell

NeurIPS 2019 Compositional Plan Vectors Coline Devin, Daniel Geng, Pieter Abbeel, Trevor Darrell, Sergey Levine

ICLRW 2019 Cross-Linked Variational Autoencoders for Generalized Zero-Shot Learning Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata

UAI 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

ICLR 2019 Discriminator Rejection Sampling Samaneh Azadi, Catherine Olsson, Trevor Darrell, Ian Goodfellow, Augustus Odena

ICLRW 2019 Efficient Receptive Field Learning by Dynamic Gaussian Structure Evan Shelhamer, Dequan Wang, Trevor Darrell

CVPRW 2019 Generalized Zero-Shot Learning via Aligned Variational Autoencoders Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata

ICLR 2019 Large-Scale Study of Curiosity-Driven Learning Yuri Burda, Harri Edwards, Deepak Pathak, Amos Storkey, Trevor Darrell, Alexei A. Efros

NeurIPS 2019 Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity Deepak Pathak, Christopher Lu, Trevor Darrell, Phillip Isola, Alexei A Efros

ICLR 2019 Rethinking the Value of Network Pruning Zhuang Liu, Mingjie Sun, Tinghui Zhou, Gao Huang, Trevor Darrell

ICCVW 2019 Spatio-Temporal Action Graph Networks Roei Herzig, Elad Levi, Huijuan Xu, Hang Gao, Eli Brosh, Xiaolong Wang, Amir Globerson, Trevor Darrell

CVPRW 2019 Uncertainty-Guided Continual Learning in Bayesian Neural Networks - Extended Abstract Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach

ICML 2018 CyCADA: Cycle-Consistent Adversarial Domain Adaptation Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei Efros, Trevor Darrell

ECCV 2018 Explainable Neural Computation via Stack Neural Module Networks Ronghang Hu, Jacob Andreas, Trevor Darrell, Kate Saenko

ECCV 2018 Grounding Visual Explanations Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell, Zeynep Akata

CVPRW 2018 Learning Instance Segmentation by Interaction Deepak Pathak, Yide Shentu, Dian Chen, Pulkit Agrawal, Trevor Darrell, Sergey Levine, Jitendra Malik

ICLR 2018 Recasting Gradient-Based Meta-Learning as Hierarchical Bayes Erin Grant, Chelsea Finn, Sergey Levine, Trevor Darrell, Thomas Griffiths

ECCV 2018 SkipNet: Learning Dynamic Routing in Convolutional Networks Xin Wang, Fisher Yu, Zi-Yi Dou, Trevor Darrell, Joseph E. Gonzalez

NeurIPS 2018 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

ECCV 2018 Textual Explanations for Self-Driving Vehicles Jinkyu Kim, Anna Rohrbach, Trevor Darrell, John Canny, Zeynep Akata

ECCV 2018 Women Also Snowboard: Overcoming Bias in Captioning Models Lisa Anne Hendricks, Kaylee Burns, Kate Saenko, Trevor Darrell, Anna Rohrbach

ICLR 2018 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

CVPRW 2018 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

CVPR 2017 Adversarial Discriminative Domain Adaptation Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell

ICLR 2017 Adversarial Discriminative Domain Adaptation (workshop Extended Abstract) Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell

ICLR 2017 Adversarial Feature Learning Jeff Donahue, Philipp Krähenbühl, Trevor Darrell

CVPR 2017 Captioning Images with Diverse Objects Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond Mooney, Trevor Darrell, Kate Saenko

ICML 2017 Curiosity-Driven Exploration by Self-Supervised Prediction Deepak Pathak, Pulkit Agrawal, Alexei A. Efros, Trevor Darrell

CVPRW 2017 Curiosity-Driven Exploration by Self-Supervised Prediction Deepak Pathak, Pulkit Agrawal, Alexei A. Efros, Trevor Darrell

CVPR 2017 End-to-End Learning of Driving Models from Large-Scale Video Datasets Huazhe Xu, Yang Gao, Fisher Yu, Trevor Darrell

ICCV 2017 Generalized Orderless Pooling Performs Implicit Salient Matching Marcel Simon, Yang Gao, Trevor Darrell, Joachim Denzler, Erik Rodner

CoRL 2017 Gradient-Free Policy Architecture Search and Adaptation Sayna Ebrahimi, Anna Rohrbach, Trevor Darrell

CVPR 2017 Learning Detection with Diverse Proposals Samaneh Azadi, Jiashi Feng, Trevor Darrell

CVPR 2017 Learning Features by Watching Objects Move Deepak Pathak, Ross Girshick, Piotr Dollar, Trevor Darrell, Bharath Hariharan

ICCV 2017 Learning to Reason: End-to-End Module Networks for Visual Question Answering Ronghang Hu, Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Kate Saenko

ICCV 2017 Localizing Moments in Video with Natural Language Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, Bryan Russell

ICLR 2017 Loss Is Its Own Reward: Self-Supervision for Reinforcement Learning Evan Shelhamer, Parsa Mahmoudieh, Max Argus, Trevor Darrell

CVPR 2017 Modeling Relationships in Referential Expressions with Compositional Modular Networks Ronghang Hu, Marcus Rohrbach, Jacob Andreas, Trevor Darrell, Kate Saenko

NeurIPS 2017 Toward Multimodal Image-to-Image Translation Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A Efros, Oliver Wang, Eli Shechtman

ICLR 2016 Auxiliary Image Regularization for Deep CNNs with Noisy Labels Samaneh Azadi, Jiashi Feng, Stefanie Jegelka, Trevor Darrell

ECCV 2016 Best Practices for Fine-Tuning Visual Classifiers to New Domains Brian Chu, Vashisht Madhavan, Oscar Beijbom, Judy Hoffman, Trevor Darrell

ECCVW 2016 Best Practices for Fine-Tuning Visual Classifiers to New Domains Brian Chu, Vashisht Madhavan, Oscar Beijbom, Judy Hoffman, Trevor Darrell

ECCV 2016 Clockwork Convnets for Video Semantic Segmentation Evan Shelhamer, Kate Rakelly, Judy Hoffman, Trevor Darrell

ECCVW 2016 Clockwork Convnets for Video Semantic Segmentation Evan Shelhamer, Kate Rakelly, Judy Hoffman, Trevor Darrell

CVPR 2016 Compact Bilinear Pooling Yang Gao, Oscar Beijbom, Ning Zhang, Trevor Darrell

CVPR 2016 Context Encoders: Feature Learning by Inpainting Deepak Pathak, Philipp Krahenbuhl, Jeff Donahue, Trevor Darrell, Alexei A. Efros

ICLR 2016 Data-Dependent Initializations of Convolutional Neural Networks Philipp Krähenbühl, Carl Doersch, Jeff Donahue, Trevor Darrell

CVPR 2016 Deep Compositional Captioning: Describing Novel Object Categories Without Paired Training Data Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond Mooney, Kate Saenko, Trevor Darrell

JMLR 2016 End-to-End Training of Deep Visuomotor Policies Sergey Levine, Chelsea Finn, Trevor Darrell, Pieter Abbeel

ECCV 2016 Generating Visual Explanations Lisa Anne Hendricks, Zeynep Akata, Marcus Rohrbach, Jeff Donahue, Bernt Schiele, Trevor Darrell

ECCV 2016 Grounding of Textual Phrases in Images by Reconstruction Anna Rohrbach, Marcus Rohrbach, Ronghang Hu, Trevor Darrell, Bernt Schiele

JMLR 2016 Large Scale Visual Recognition Through Adaptation Using Joint Representation and Multiple Instance Learning Judy Hoffman, Deepak Pathak, Eric Tzeng, Jonathan Long, Sergio Guadarrama, Trevor Darrell, Kate Saenko

CVPR 2016 Learning with Side Information Through Modality Hallucination Judy Hoffman, Saurabh Gupta, Trevor Darrell

CVPR 2016 Natural Language Object Retrieval Ronghang Hu, Huazhe Xu, Marcus Rohrbach, Jiashi Feng, Kate Saenko, Trevor Darrell

CVPR 2016 Neural Module Networks Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein

ECCV 2016 Segmentation from Natural Language Expressions Ronghang Hu, Marcus Rohrbach, Trevor Darrell

ICCV 2015 Constrained Convolutional Neural Networks for Weakly Supervised Segmentation Deepak Pathak, Philipp Krahenbuhl, Trevor Darrell

CVPR 2015 Deformable Part Models Are Convolutional Neural Networks Ross Girshick, Forrest Iandola, Trevor Darrell, Jitendra Malik

CVPR 2015 Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning Judy Hoffman, Deepak Pathak, Trevor Darrell, Kate Saenko

ICLR 2015 Fully Convolutional Multi-Class Multiple Instance Learning Deepak Pathak, Evan Shelhamer, Jonathan Long, Trevor Darrell

CVPR 2015 Fully Convolutional Networks for Semantic Segmentation Jonathan Long, Evan Shelhamer, Trevor Darrell

ICLR 2015 Learning Compact Convolutional Neural Networks with Nested Dropout Chelsea Finn, Lisa Anne Hendricks, Trevor Darrell

ICCV 2015 Learning the Structure of Deep Convolutional Networks Jiashi Feng, Trevor Darrell

CVPR 2015 Long-Term Recurrent Convolutional Networks for Visual Recognition and Description Jeffrey Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Kate Saenko, Trevor Darrell

ICCVW 2015 Scene Intrinsics and Depth from a Single Image Evan Shelhamer, Jonathan T. Barron, Trevor Darrell

ICCV 2015 Sequence to Sequence - Video to Text Subhashini Venugopalan, Marcus Rohrbach, Jeffrey Donahue, Raymond Mooney, Trevor Darrell, Kate Saenko

ICCV 2015 Simultaneous Deep Transfer Across Domains and Tasks Eric Tzeng, Judy Hoffman, Trevor Darrell, Kate Saenko

ICCV 2015 Spatial Semantic Regularisation for Large Scale Object Detection Damian Mrowca, Marcus Rohrbach, Judy Hoffman, Ronghang Hu, Kate Saenko, Trevor Darrell

CVPR 2014 Anytime Recognition of Objects and Scenes Sergey Karayev, Mario Fritz, Trevor Darrell

CVPR 2014 Continuous Manifold Based Adaptation for Evolving Visual Domains Judy Hoffman, Trevor Darrell, Kate Saenko

ICML 2014 DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell

NeurIPS 2014 Do Convnets Learn Correspondence? Jonathan L Long, Ning Zhang, Trevor Darrell

NeurIPS 2014 LSDA: Large Scale Detection Through Adaptation Judy Hoffman, Sergio Guadarrama, Eric S Tzeng, Ronghang Hu, Jeff Donahue, Ross Girshick, Trevor Darrell, Kate Saenko

CVPR 2014 Learning Scalable Discriminative Dictionary with Sample Relatedness Jiashi Feng, Stefanie Jegelka, Shuicheng Yan, Trevor Darrell

ICML 2014 On Learning to Localize Objects with Minimal Supervision Hyun Oh Song, Ross Girshick, Stefanie Jegelka, Julien Mairal, Zaid Harchaoui, Trevor Darrell

ICLR 2014 One-Shot Adaptation of Supervised Deep Convolutional Models Judy Hoffman, Eric Tzeng, Jeff Donahue, Yangqing Jia, Kate Saenko, Trevor Darrell

CVPR 2014 PANDA: Pose Aligned Networks for Deep Attribute Modeling Ning Zhang, Manohar Paluri, Marc'Aurelio Ranzato, Trevor Darrell, Lubomir Bourdev

ECCV 2014 Part-Based R-CNNs for Fine-Grained Category Detection Ning Zhang, Jeff Donahue, Ross B. Girshick, Trevor Darrell

CVPR 2014 Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation Ross Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik

NeurIPS 2014 Weakly-Supervised Discovery of Visual Pattern Configurations Hyun Oh Song, Yong Jae Lee, Stefanie Jegelka, Trevor Darrell

ICCV 2013 Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction Ning Zhang, Ryan Farrell, Forrest Iandola, Trevor Darrell

ICML 2013 Discriminatively Activated Sparselets Ross Girshick, Hyun Oh Song, Trevor Darrell

ICLR 2013 Efficient Learning of Domain-Invariant Image Representations Judy Hoffman, Erik Rodner, Jeff Donahue, Kate Saenko, Trevor Darrell

ICCV 2013 Latent Task Adaptation with Large-Scale Hierarchies Yangqing Jia, Trevor Darrell

ICML 2013 On Compact Codes for Spatially Pooled Features Yangqing Jia, Oriol Vinyals, Trevor Darrell

CVPR 2013 Semi-Supervised Domain Adaptation with Instance Constraints Jeff Donahue, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell

NeurIPS 2013 Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies Yangqing Jia, Joshua T. Abbott, Joseph L Austerweil, Tom Griffiths, Trevor Darrell

ICLR 2013 Why Size Matters: Feature Coding as Nystrom Sampling Oriol Vinyals, Yangqing Jia, Trevor Darrell

ICCV 2013 YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition Sergio Guadarrama, Niveda Krishnamoorthy, Girish Malkarnenkar, Subhashini Venugopalan, Raymond Mooney, Trevor Darrell, Kate Saenko

CVPR 2012 Beyond Spatial Pyramids: Receptive Field Learning for Pooled Image Features Yangqing Jia, Chang Huang, Trevor Darrell

ECCV 2012 Discovering Latent Domains for Multisource Domain Adaptation Judy Hoffman, Brian Kulis, Trevor Darrell, Kate Saenko

UAI 2012 Factorized Multi-Modal Topic Model Seppo Virtanen, Yangqing Jia, Arto Klami, Trevor Darrell

CVPR 2012 From Pixels to Physics: Probabilistic Color De-Rendering Ying Xiong, Kate Saenko, Trevor Darrell, Todd E. Zickler

NeurIPS 2012 Learning with Recursive Perceptual Representations Oriol Vinyals, Yangqing Jia, Li Deng, Trevor Darrell

CVPR 2012 Pose Pooling Kernels for Sub-Category Recognition Ning Zhang, Ryan Farrell, Trevor Darrell

ECCV 2012 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

NeurIPS 2012 Timely Object Recognition Sergey Karayev, Tobias Baumgartner, Mario Fritz, Trevor Darrell

CVPR 2011 A Probabilistic Model for Recursive Factorized Image Features Sergey Karayev, Mario Fritz, Sanja Fidler, Trevor Darrell

ICCV 2011 Birdlets: Subordinate Categorization Using Volumetric Primitives and Pose-Normalized Appearance Ryan Farrell, Om Oza, Ning Zhang, Vlad I. Morariu, Trevor Darrell, Larry S. Davis

NeurIPS 2011 Heavy-Tailed Distances for Gradient Based Image Descriptors Yangqing Jia, Trevor Darrell

ICCV 2011 Learning Cross-Modality Similarity for Multinomial Data Yangqing Jia, Mathieu Salzmann, Trevor Darrell

CVPR 2011 Learning Object Color Models from Multi-View Constraints Trevor Owens, Kate Saenko, Ayan Chakrabarti, Ying Xiong, Todd E. Zickler, Trevor Darrell

CVPR 2011 Supervised Hierarchical Pitman-Yor Process for Natural Scene Segmentation Alex Shyr, Trevor Darrell, Michael I. Jordan, Raquel Urtasun

ICCV 2011 The NBNN Kernel Tinne Tuytelaars, Mario Fritz, Kate Saenko, Trevor Darrell

CVPR 2011 What You Saw Is Not What You Get: Domain Adaptation Using Asymmetric Kernel Transforms Brian Kulis, Kate Saenko, Trevor Darrell

ECCV 2010 Adapting Visual Category Models to New Domains Kate Saenko, Brian Kulis, Mario Fritz, Trevor Darrell

NeurIPS 2010 Factorized Latent Spaces with Structured Sparsity Yangqing Jia, Mathieu Salzmann, Trevor Darrell

AISTATS 2010 Factorized Orthogonal Latent Spaces Mathieu Salzmann, Carl Henrik Ek, Raquel Urtasun, Trevor Darrell

ECCV 2010 Learning to Recognize Objects from Unseen Modalities C. Mario Christoudias, Raquel Urtasun, Mathieu Salzmann, Trevor Darrell

NeurIPS 2010 Size Matters: Metric Visual Search Constraints from Monocular Metadata Mario Fritz, Kate Saenko, Trevor Darrell

NeurIPS 2009 An Additive Latent Feature Model for Transparent Object Recognition Mario Fritz, Gary Bradski, Sergey Karayev, Trevor Darrell, Michael J. Black

ICML 2009 An Efficient Projection for L1,infinity Regularization Ariadna Quattoni, Xavier Carreras, Michael Collins, Trevor Darrell

CVPR 2009 Co-Training with Noisy Perceptual Observations C. Mario Christoudias, Raquel Urtasun, Ashish Kapoor, Trevor Darrell

CVPR 2009 Fast Concurrent Object Localization and Recognition Tom Yeh, John J. Lee, Trevor Darrell

NeurIPS 2009 Filtering Abstract Senses from Image Search Results Kate Saenko, Trevor Darrell

NeurIPS 2009 Learning to Hash with Binary Reconstructive Embeddings Brian Kulis, Trevor Darrell

CVPR 2009 Rank Priors for Continuous Non-Linear Dimensionality Reduction Andreas Geiger, Raquel Urtasun, Trevor Darrell

CVPRW 2008 Autotagging Facebook: Social Network Context Improves Photo Annotation Zak Stone, Todd E. Zickler, Trevor Darrell

CVPR 2008 Dynamic Visual Category Learning Tom Yeh, Trevor Darrell

CVPRW 2008 Scalable Classifiers for Internet Vision Tasks Tom Yeh, John J. Lee, Trevor Darrell

CVPR 2008 Sparse Probabilistic Regression for Activity-Independent Human Pose Inference Raquel Urtasun, Trevor Darrell

ICML 2008 Topologically-Constrained Latent Variable Models Raquel Urtasun, David J. Fleet, Andreas Geiger, Jovan Popovic, Trevor Darrell, Neil D. Lawrence

CVPR 2008 Transfer Learning for Image Classification with Sparse Prototype Representations Ariadna Quattoni, Michael Collins, Trevor Darrell

CVPR 2008 Unsupervised Feature Selection via Distributed Coding for Multi-View Object Recognition C. Mario Christoudias, Raquel Urtasun, Trevor Darrell

NeurIPS 2008 Unsupervised Learning of Visual Sense Models for Polysemous Words Kate Saenko, Trevor Darrell

ICCV 2007 Active Learning with Gaussian Processes for Object Categorization Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Trevor Darrell

ICCV 2007 Adaptive Vocabulary Forests Br Dynamic Indexing and Category Learning Tom Yeh, John J. Lee, Trevor Darrell

ICML 2007 Discriminative Gaussian Process Latent Variable Model for Classification Raquel Urtasun, Trevor Darrell

CVPR 2007 Latent-Dynamic Discriminative Models for Continuous Gesture Recognition Louis-Philippe Morency, Ariadna Quattoni, Trevor Darrell

CVPR 2007 Learning Visual Representations Using Images with Captions Ariadna Quattoni, Michael Collins, Trevor Darrell

CVPR 2007 Pyramid Match Hashing: Sub-Linear Time Indexing over Partial Correspondences Kristen Grauman, Trevor Darrell

JMLR 2007 The Pyramid Match Kernel: Efficient Learning with Sets of Features Kristen Grauman, Trevor Darrell

NeurIPS 2006 Approximate Correspondences in High Dimensions Kristen Grauman, Trevor Darrell

CVPR 2006 Conditional Random People: Tracking Humans with CRFs and Grid Filters Leonid Taycher, David Demirdjian, Trevor Darrell, Gregory Shakhnarovich

CVPR 2006 Hidden Conditional Random Fields for Gesture Recognition Sy Bor Wang, Ariadna Quattoni, Louis-Philippe Morency, David Demirdjian, Trevor Darrell

AAAI 2006 The Role of Context in Head Gesture Recognition Louis-Philippe Morency, Candace L. Sidner, Christopher Lee, Trevor Darrell

CVPR 2006 Unsupervised Learning of Categories from Sets of Partially Matching Image Features Kristen Grauman, Trevor Darrell

ICCV 2005 Avoiding the "Streetlight Effect": Tracking by Exploring Likelihood Modes David Demirdjian, Leonid Taycher, Gregory Shakhnarovich, Kristen Grauman, Trevor Darrell

CVPR 2005 Combining Object and Feature Dynamics in Probabilistic Tracking Leonid Taycher, John W. Fisher Iii, Trevor Darrell

CVPR 2005 Efficient Image Matching with Distributions of Local Invariant Features Kristen Grauman, Trevor Darrell

CVPR 2005 Face Recognition with Image Sets Using Manifold Density Divergence Ognjen Arandjelovic, Gregory Shakhnarovich, John Fisher, Roberto Cipolla, Trevor Darrell

CVPR 2005 Learning Appearance Manifolds from Video Ali Rahimi, Ben Recht, Trevor Darrell

CVPR 2005 On Modelling Nonlinear Shape-and-Texture Appearance Manifolds C. Mario Christoudias, Trevor Darrell

ICCV 2005 The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features Kristen Grauman, Trevor Darrell

ICCV 2005 Visual Speech Recognition with Loosely Synchronized Feature Streams Kate Saenko, Karen Livescu, Michael Siracusa, Kevin W. Wilson, James R. Glass, Trevor Darrell

ECCV 2004 Combining Simple Models to Approximate Complex Dynamics Leonid Taycher, John W. Fisher Iii, Trevor Darrell

NeurIPS 2004 Conditional Random Fields for Object Recognition Ariadna Quattoni, Michael Collins, Trevor Darrell

CVPR 2004 Fast Contour Matching Using Approximate Earth Mover's Distance Kristen Grauman, Trevor Darrell

ECCV 2004 Light Field Appearance Manifolds Chris Mario Christoudias, Louis-Philippe Morency, Trevor Darrell

CVPR 2004 Searching the Web with Mobile Images for Location Recognition Tom Yeh, Konrad Tollmar, Trevor Darrell

CVPR 2004 Simultaneous Calibration and Tracking with a Network of Non-Overlapping Sensors Ali Rahimi, Brian Dunagan, Trevor Darrell

ECCV 2004 Tracking People with a Sparse Network of Bearing Sensors Ali Rahimi, Brian Dunagan, Trevor Darrell

ECCV 2004 Virtual Visual Hulls: Example-Based 3D Shape Inference from Silhouettes Kristen Grauman, Gregory Shakhnarovich, Trevor Darrell

CVPR 2003 A Bayesian Approach to Image-Based Visual Hull Reconstruction Kristen Grauman, Gregory Shakhnarovich, Trevor Darrell

CVPRW 2003 A Probabilistic Framework for Multi-Modal Multi-Person Tracking Neal Checka, Kevin W. Wilson, Vibhav Rangarajan, Trevor Darrell

CVPR 2003 Adaptive View-Based Appearance Models Louis-Philippe Morency, Ali Rahimi, Trevor Darrell

ICCV 2003 Constraining Human Body Tracking David Demirdjian, Teresa Ko, Trevor Darrell

ICCV 2003 Fast Pose Estimation with Parameter-Sensitive Hashing Gregory Shakhnarovich, Paul A. Viola, Trevor Darrell

CVPRW 2003 Gesture + Play Exploring Full-Body Navigation for Virtual Environments Konrad Tollmar, David Demirdjian, Trevor Darrell

ICCV 2003 Inferring 3D Structure with a Statistical Image-Based Shape Model Kristen Grauman, Gregory Shakhnarovich, Trevor Darrell

ECCV 2002 Face Recognition from Long-Term Observations Gregory Shakhnarovich, John W. Fisher Iii, Trevor Darrell

NeurIPS 2002 Location Estimation with a Differential Update Network Ali Rahimi, Trevor Darrell

ECCV 2002 Probabalistic Models and Informative Subspaces for Audiovisual Correspondence John W. Fisher Iii, Trevor Darrell

NeurIPS 2002 Recovering Articulated Model Topology from Observed Rigid Motion Leonid Taycher, John Iii, Trevor Darrell

CVPR 2001 Integrated Face and Gait Recognition from Multiple Views Gregory Shakhnarovich, Lily Lee, Trevor Darrell

ICCV 2001 Motion Estimation from Disparity Images David Demirdjian, Trevor Darrell

ICCV 2001 Plan-View Trajectory Estimation with Dense Stereo Background Models Trevor Darrell, David Demirdjian, Neal Checka, Pedro F. Felzenszwalb

ICCV 2001 Reducing Drift in Parametric Motion Tracking Ali Rahimi, Louis-Philippe Morency, Trevor Darrell

CVPR 2000 Articulated-Pose Estimation Using Brightness and Depth-Constancy Constraints Michele Covell, Ali Rahimi, Michael Harville, Trevor Darrell

NeurIPS 2000 Learning Joint Statistical Models for Audio-Visual Fusion and Segregation John W. Fisher Iii, Trevor Darrell, William T. Freeman, Paul A. Viola

ICCV 1999 3D Pose Tracking with Linear Depth and Brightness Constraints Michael Harville, Ali Rahimi, Trevor Darrell, Gaile G. Gordon, John Woodfill

CVPR 1999 Background Estimation and Removal Based on Range and Color Gaile G. Gordon, Trevor Darrell, Michael Harville, John Woodfill

CVPR 1999 Dynamic Occluding Contours: A New External-Energy Term for Snakes Michele Covell, Trevor Darrell

CVPR 1998 A Radial Cumulative Similarity Transform for Robust Image Correspondence Trevor Darrell

NeurIPS 1998 Example-Based Image Synthesis of Articulated Figures Trevor Darrell

CVPR 1998 Integrated Person Tracking Using Stereo, Color, and Pattern Detection Trevor Darrell, Gaile G. Gordon, Michael Harville, John Woodfill

CVPR 1998 Magic Morphin' Mirror: Person Detection and Tracking Trevor Darrell, Gaile G. Gordon, Michael Harville, John Woodfill

CVPR 1996 Active Face Tracking and Pose Estimation in an Interactive Room Trevor Darrell, Baback Moghaddam, Alex Pentland

NeurIPS 1995 Active Gesture Recognition Using Learned Visual Attention Trevor Darrell, Alex Pentland

IJCAI 1995 Modeling Interactive Agents in ALIVE Pattie Maes, Bruce Blumberg, Trevor Darrell, Alex Pentland, Alan Wexelblat

AAAI 1994 ALIVE: Artificial Life Interactive Video Environment Pattie Maes, Trevor Darrell, Bruce Blumberg, Alex Pentland

NeurIPS 1994 Correlation and Interpolation Networks for Real-Time Expression Analysis/Synthesis Trevor Darrell, Irfan A. Essa, Alex Pentland

CVPR 1993 'Nulling' Filters and the Separation of Transparent Motions Trevor Darrell, Eero Peter Simonecelli

CVPR 1993 Space-Time Gestures Trevor Darrell, Alex Pentland

NeurIPS 1991 Against Edges: Function Approximation with Multiple Support Maps Trevor Darrell, Alex Pentland

CVPR 1991 On the Representation of Occluded Shapes Trevor Darrell, Alex Pentland

ICCV 1990 Segmentation by Minimal Description Trevor Darrell, Stan Sclaroff, Alex Pentland

CVPR 1989 A Simple, Real-Time Range Camera Alex Pentland, Trevor Darrell, Matthew Turk, W. Huang

CVPR 1988 Pyramid Based Depth from Focus Trevor Darrell, Kwangyoen Wohn