Trevor Darrell

ORCID

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 453

Top Venues

Publications

Xudong Wang, Trevor Darrell, Sai Saketh Rambhatla, Rohit Girdhar, Ishan Misra
InstanceDiffusion: Instance-level Control for Image Generation. CoRR (2024)
Letian Fu, Long Lian, Renhao Wang, Baifeng Shi, Xudong Wang, Adam Yala, Trevor Darrell, Alexei A. Efros, Ken Goldberg
Rethinking Patch Dependence for Masked Autoencoders. CoRR (2024)
Evonne Ng, Javier Romero, Timur M. Bagautdinov, Shaojie Bai, Trevor Darrell, Angjoo Kanazawa, Alexander Richard
From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations. CoRR (2024)
Tobias Fischer, Thomas E. Huang, Jiangmiao Pang, Linlu Qiu, Haofeng Chen, Trevor Darrell, Fisher Yu
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Yida Yin, Zhiqiu Xu, Zhiyuan Li, Trevor Darrell, Zhuang Liu
A Coefficient Makes SVRG Effective. CoRR (2023)
Grace Luo, Trevor Darrell, Oliver Wang, Dan B. Goldman, Aleksander Holynski
Readout Guidance: Learning Control from Diffusion Features. CoRR (2023)
Jiaxin Ge, Sanjay Subramanian, Trevor Darrell, Boyi Li
From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation. EMNLP (2023)
Ilija Radosavovic, Baifeng Shi, Letian Fu, Ken Goldberg, Trevor Darrell, Jitendra Malik
Robot Learning with Sensorimotor Pre-training. CoRR (2023)
Colorado J. Reed, Ritwik Gupta, Shufan Li, Sarah Brockman, Christopher Funk, Brian Clipp, Kurt Keutzer, Salvatore Candido, Matt Uyttendaele, Trevor Darrell
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning. ICCV (2023)
Jiaxin Ge, Sanjay Subramanian, Trevor Darrell, Boyi Li
From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation. CoRR (2023)
David Chan, Suzanne Petryk, Joseph Gonzalez, Trevor Darrell, John F. Canny
CLAIR: Evaluating Image Captions with Large Language Models. EMNLP (2023)
Xudong Wang, Shufan Li, Konstantinos Kallidromitis, Yusuke Kato, Kazuki Kozuka, Trevor Darrell
Hierarchical Open-vocabulary Universal Image Segmentation. CoRR (2023)
Tsung-Han Wu, Long Lian, Joseph E. Gonzalez, Boyi Li, Trevor Darrell
Self-correcting LLM-controlled Diffusion Models. CoRR (2023)
Xudong Wang, Ishan Misra, Ziyun Zeng, Rohit Girdhar, Trevor Darrell
VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation. CoRR (2023)
Yuqing Du, Olivia Watkins, Zihan Wang, Cédric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta, Jacob Andreas
Guiding Pretraining in Reinforcement Learning with Large Language Models. ICML (2023)
Baifeng Shi, Trevor Darrell, Xin Wang
Top-Down Visual Attention from Analysis by Synthesis. CVPR (2023)
Amir Bar, Florian Bordes, Assaf Shocher, Mahmoud Assran, Pascal Vincent, Nicolas Ballas, Trevor Darrell, Amir Globerson, Yann LeCun
Predicting masked tokens in stochastic locations improves masked image modeling. CoRR (2023)
David Chan, Suzanne Petryk, Joseph E. Gonzalez, Trevor Darrell, John F. Canny
CLAIR: Evaluating Image Captions with Large Language Models. CoRR (2023)
Sheng Shen, Zhewei Yao, Chunyuan Li, Trevor Darrell, Kurt Keutzer, Yuxiong He
Scaling Vision-Language Models with Sparse Mixture of Experts. EMNLP (Findings) (2023)
Lisa Dunlap, Yuhui Zhang, Xiaohan Wang, Ruiqi Zhong, Trevor Darrell, Jacob Steinhardt, Joseph E. Gonzalez, Serena Yeung-Levy
Describing Differences in Image Sets with Natural Language. CoRR (2023)
Yuqing Du, Olivia Watkins, Zihan Wang, Cédric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta, Jacob Andreas
Guiding Pretraining in Reinforcement Learning with Large Language Models. CoRR (2023)
Roei Herzig, Alon Mendelson, Leonid Karlinsky, Assaf Arbelle, Rogério Feris, Trevor Darrell, Amir Globerson
Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs. CoRR (2023)
Evonne Ng, Sanjay Subramanian, Dan Klein, Angjoo Kanazawa, Trevor Darrell, Shiry Ginosar
Can Language Models Learn to Listen? ICCV (2023)
Lisa Dunlap, Alyssa Umino, Han Zhang, Jiezhi Yang, Joseph E. Gonzalez, Trevor Darrell
Diversify Your Vision Datasets with Automatic Diffusion-based Augmentation. NeurIPS (2023)
Yutong Bai, Xinyang Geng, Karttikeya Mangalam, Amir Bar, Alan L. Yuille, Trevor Darrell, Jitendra Malik, Alexei A. Efros
Sequential Modeling Enables Scalable Learning for Large Vision Models. CoRR (2023)
Long Lian, Baifeng Shi, Adam Yala, Trevor Darrell, Boyi Li
LLM-grounded Video Diffusion Models. CoRR (2023)
Lisa Dunlap, Clara Mohri, Devin Guillory, Han Zhang, Trevor Darrell, Joseph E. Gonzalez, Aditi Raghunathan, Anna Rohrbach
Using Language to Extend to Unseen Domains. ICLR (2023)
Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu
Large Language Models are Visual Reasoning Coordinators. NeurIPS (2023)
Ilija Radosavovic, Tete Xiao, Bike Zhang, Trevor Darrell, Jitendra Malik, Koushil Sreenath
Learning Humanoid Locomotion with Transformers. CoRR (2023)
Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, Dan Klein
Modular Visual Question Answering via Code Generation. ACL (2) (2023)
Zhiqiu Xu, Yanjie Chen, Kirill Vishniakov, Yida Yin, Zhiqiang Shen, Trevor Darrell, Lingjie Liu, Zhuang Liu
Initializing Models with Larger Ones. CoRR (2023)
Roei Herzig, Alon Mendelson, Leonid Karlinsky, Assaf Arbelle, Rogério Feris, Trevor Darrell, Amir Globerson
Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs. EMNLP (2023)
Shizhan Zhu, Shunsuke Saito, Aljaz Bozic, Carlos Aliaga, Trevor Darrell, Christoph Lassner
Neural Relighting with Subsurface Scattering by Learning the Radiance Transfer Gradient. CoRR (2023)
Zhuang Liu, Zhiqiu Xu, Joseph Jin, Zhiqiang Shen, Trevor Darrell
Dropout Reduces Underfitting. CoRR (2023)
Hou-Ning Hu, Yung-Hsu Yang, Tobias Fischer, Trevor Darrell, Fisher Yu, Min Sun
Monocular Quasi-Dense 3D Object Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Shruti Agarwal, Liwen Hu, Evonne Ng, Trevor Darrell, Hao Li, Anna Rohrbach
Watch Those Words: Video Falsification Detection Using Word-Conditioned Facial Motion. WACV (2023)
Evonne Ng, Sanjay Subramanian, Dan Klein, Angjoo Kanazawa, Trevor Darrell, Shiry Ginosar
Can Language Models Learn to Listen? CoRR (2023)
Chancharik Mitra, Brandon Huang, Trevor Darrell, Roei Herzig
Compositional Chain-of-Thought Prompting for Large Multimodal Models. CoRR (2023)
Tsung-Han Wu, Giscard Biamby, David Chan, Lisa Dunlap, Ritwik Gupta, Xudong Wang, Joseph E. Gonzalez, Trevor Darrell
See, Say, and Segment: Teaching LMMs to Overcome False Premises. CoRR (2023)
Jiaxin Ge, Sanjay Subramanian, Baifeng Shi, Roei Herzig, Trevor Darrell
Recursive Visual Programming. CoRR (2023)
Zhuang Liu, Zhiqiu Xu, Joseph Jin, Zhiqiang Shen, Trevor Darrell
Dropout Reduces Underfitting. ICML (2023)
Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liang-Yan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell
Aligning Large Multimodal Models with Factually Augmented RLHF. CoRR (2023)
Dantong Niu, Amir Bar, Roei Herzig, Trevor Darrell, Anna Rohrbach
Object-based (yet Class-agnostic) Video Domain Adaptation. CoRR (2023)
Sarthak Kamat, Shruti Agarwal, Trevor Darrell, Anna Rohrbach
Revisiting Generalizability in Deepfake Detection: Improving Metrics and Stabilizing Transfer. ICCV (Workshops) (2023)
Medhini Narasimhan, Licheng Yu, Sean Bell, Ning Zhang, Trevor Darrell
Learning and Verification of Task Structure in Instructional Videos. CoRR (2023)
Zhuang Liu, Hung-Ju Wang, Tinghui Zhou, Zhiqiang Shen, Bingyi Kang, Evan Shelhamer, Trevor Darrell
Exploring Simple and Transferable Recognition-Aware Image Processing. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Dantong Niu, Xudong Wang, Xinyang Han, Long Lian, Roei Herzig, Trevor Darrell
Unsupervised Universal Image Segmentation. CoRR (2023)
Grace Luo, Lisa Dunlap, Dong Huk Park, Aleksander Holynski, Trevor Darrell
Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence. CoRR (2023)
Sheng Shen, Zhewei Yao, Chunyuan Li, Trevor Darrell, Kurt Keutzer, Yuxiong He
Scaling Vision-Language Models with Sparse Mixture of Experts. CoRR (2023)
Jiarui Xu, Yossi Gandelsman, Amir Bar, Jianwei Yang, Jianfeng Gao, Trevor Darrell, Xiaolong Wang
IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks. CoRR (2023)
Suzanne Petryk, Spencer Whitehead, Joseph E. Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach
Simple Token-Level Confidence Improves Caption Correctness. CoRR (2023)
Lisa Dunlap, Alyssa Umino, Han Zhang, Jiezhi Yang, Joseph E. Gonzalez, Trevor Darrell
Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation. CoRR (2023)
Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang
Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption. CVPR (2023)
Vidit Goel, Elia Peruzzo, Yifan Jiang, Dejia Xu, Nicu Sebe, Trevor Darrell, Zhangyang Wang, Humphrey Shi
PAIR-Diffusion: Object-Level Image Editing with Structure-and-Appearance Paired Diffusion Models. CoRR (2023)
Long Lian, Boyi Li, Adam Yala, Trevor Darrell
LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models. CoRR (2023)
Grace Luo, Lisa Dunlap, Dong Huk Park, Aleksander Holynski, Trevor Darrell
Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence. NeurIPS (2023)
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
Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game. CoRR (2023)
Ilija Radosavovic, Baifeng Shi, Letian Fu, Ken Goldberg, Trevor Darrell, Jitendra Malik
Robot Learning with Sensorimotor Pre-training. CoRL (2023)
Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, Dan Klein
Modular Visual Question Answering via Code Generation. CoRR (2023)
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 Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou
Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts. CoRR (2023)
Xihui Liu, Dong Huk Park, Samaneh Azadi, Gong Zhang, Arman Chopikyan, Yuxiao Hu, Humphrey Shi, Anna Rohrbach, Trevor Darrell
More Control for Free! Image Synthesis with Semantic Diffusion Guidance. WACV (2023)
Baifeng Shi, Trevor Darrell, Xin Wang
Top-Down Visual Attention from Analysis by Synthesis. CoRR (2023)
Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu
Large Language Models are Visual Reasoning Coordinators. CoRR (2023)
Chancharik Mitra, Abrar Anwar, Rodolfo Corona, Dan Klein, Trevor Darrell, Jesse Thomason
Comparative Multi-View Language Grounding. CoRR (2023)
Xudong Wang, Shufan Li, Konstantinos Kallidromitis, Yusuke Kato, Kazuki Kozuka, Trevor Darrell
Hierarchical Open-vocabulary Universal Image Segmentation. NeurIPS (2023)
Baifeng Shi, Siyu Gai, Trevor Darrell, Xin Wang
Refocusing Is Key to Transfer Learning. CoRR (2023)
Fangyu Wu, Dequan Wang, Minjune Hwang, Chenhui Hao, Jiawei Lu, Jiamu Zhang, Christopher Chou, Trevor Darrell, Alexandre M. Bayen
Decentralized Vehicle Coordination: The Berkeley DeepDrive Drone Dataset. CoRR (2022)
Spencer Whitehead, Suzanne Petryk, Vedaad Shakib, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach
Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly. CoRR (2022)
Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang
Back to the Source: Diffusion-Driven Test-Time Adaptation. CoRR (2022)
Evonne Ng, Hanbyul Joo, Liwen Hu, Hao Li, Trevor Darrell, Angjoo Kanazawa, Shiry Ginosar
Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motion. CoRR (2022)
Roei Herzig, Ofir Abramovich, Elad Ben-Avraham, Assaf Arbelle, Leonid Karlinsky, Ariel Shamir, Trevor Darrell, Amir Globerson
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data. CoRR (2022)
Grace Luo, Giscard Biamby, Trevor Darrell, Daniel Fried, Anna Rohrbach
G^3: Geolocation via Guidebook Grounding. CoRR (2022)
Giscard Biamby, Grace Luo, Trevor Darrell, Anna Rohrbach
Twitter-COMMs: Detecting Climate, COVID, and Military Multimodal Misinformation. NAACL-HLT (2022)
Suzanne Petryk, Lisa Dunlap, Keyan Nasseri, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach
On Guiding Visual Attention with Language Specification. CoRR (2022)
Shizhan Zhu, Sayna Ebrahimi, Angjoo Kanazawa, Trevor Darrell
Differentiable Gradient Sampling for Learning Implicit 3D Scene Reconstructions from a Single Image. ICLR (2022)
Spencer Whitehead, Suzanne Petryk, Vedaad Shakib, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach
Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly. ECCV (36) (2022)
Baifeng Shi, Yale Song, Neel Joshi, Trevor Darrell, Xin Wang
Visual Attention Emerges from Recurrent Sparse Reconstruction. CoRR (2022)
Colorado J. Reed, Ritwik Gupta, Shufan Li, Sarah Brockman, Christopher Funk, Brian Clipp, Kurt Keutzer, Salvatore Candido, Matt Uyttendaele, Trevor Darrell
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning. CoRR (2022)
Olivia Watkins, Trevor Darrell, Pieter Abbeel, Jacob Andreas, Abhishek Gupta
Teachable Reinforcement Learning via Advice Distillation. CoRR (2022)
Ilija Radosavovic, Tete Xiao, Stephen James, Pieter Abbeel, Jitendra Malik, Trevor Darrell
Real-World Robot Learning with Masked Visual Pre-training. CoRR (2022)
Elad Ben-Avraham, Roei Herzig, Karttikeya Mangalam, Amir Bar, Anna Rohrbach, Leonid Karlinsky, Trevor Darrell, Amir Globerson
Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens. CoRR (2022)
Tete Xiao, Ilija Radosavovic, Trevor Darrell, Jitendra Malik
Masked Visual Pre-training for Motor Control. CoRR (2022)
Rodolfo Corona, Shizhan Zhu, Dan Klein, Trevor Darrell
Voxel-informed Language Grounding. ACL (2) (2022)
Zhekun Luo, Shalini Ghosh, Devin Guillory, Keizo Kato, Trevor Darrell, Huijuan Xu
Disentangled Action Recognition with Knowledge Bases. NAACL-HLT (2022)
Sheng Shen, Chunyuan Li, Xiaowei Hu, Yujia Xie, Jianwei Yang, Pengchuan Zhang, Anna Rohrbach, Zhe Gan, Lijuan Wang, Lu Yuan, Ce Liu, Kurt Keutzer, Trevor Darrell, Jianfeng Gao
K-LITE: Learning Transferable Visual Models with External Knowledge. CoRR (2022)
Kevin Miao, Akash Gokul, Raghav Singh, Suzanne Petryk, Joseph Gonzalez, Kurt Keutzer, Trevor Darrell, Colorado Reed
Prior Knowledge-Guided Attention in Self-Supervised Vision Transformers. CoRR (2022)
Zhuang Liu, Zhiqiu Xu, Hung-Ju Wang, Trevor Darrell, Evan Shelhamer
Anytime Dense Prediction with Confidence Adaptivity. ICLR (2022)
Dian Chen, Dequan Wang, Trevor Darrell, Sayna Ebrahimi
Contrastive Test-Time Adaptation. CoRR (2022)
Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie
A ConvNet for the 2020s. CVPR (2022)
Rodolfo Corona, Shizhan Zhu, Dan Klein, Trevor Darrell
Voxel-informed Language Grounding. CoRR (2022)
Sheng Shen, Shijia Yang, Tianjun Zhang, Bohan Zhai, Joseph E. Gonzalez, Kurt Keutzer, Trevor Darrell
Multitask Vision-Language Prompt Tuning. CoRR (2022)
Zhekun Luo, Shalini Ghosh, Devin Guillory, Keizo Kato, Trevor Darrell, Huijuan Xu
Disentangled Action Recognition with Knowledge Bases. CoRR (2022)
Baifeng Shi, Yale Song, Neel Joshi, Trevor Darrell, Xin Wang
Visual Attention Emerges from Recurrent Sparse Reconstruction. ICML (2022)
Kuniaki Saito, Ping Hu, Trevor Darrell, Kate Saenko
Learning to Detect Every Thing in an Open World. ECCV (24) (2022)
Ilija Radosavovic, Tete Xiao, Stephen James, Pieter Abbeel, Jitendra Malik, Trevor Darrell
Real-World Robot Learning with Masked Visual Pre-training. CoRL (2022)
Vongani H. Maluleke, Neerja Thakkar, Tim Brooks, Ethan Weber, Trevor Darrell, Alexei A. Efros, Angjoo Kanazawa, Devin Guillory
Studying Bias in GANs through the Lens of Race. CoRR (2022)
Huazhe Xu, Yuping Luo, Shaoxiong Wang, Trevor Darrell, Roberto Calandra
Towards Learning to Play Piano with Dexterous Hands and Touch. IROS (2022)
Akash Gokul, Konstantinos Kallidromitis, Shufan Li, Yusuke Kato, Kazuki Kozuka, Trevor Darrell, Colorado J. Reed
Refine and Represent: Region-to-Object Representation Learning. CoRR (2022)
Amir Bar, Xin Wang, Vadim Kantorov, Colorado J. Reed, Roei Herzig, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson
DETReg: Unsupervised Pretraining with Region Priors for Object Detection. CVPR (2022)
Suzanne Petryk, Lisa Dunlap, Keyan Nasseri, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach
On Guiding Visual Attention with Language Specification. CVPR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Trevor Darrell