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ORCIDTrevor Darrell
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- affiliation: University of California, Berkeley
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2020 – today
- 2023
[j47]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): 1992-2008 (2023)- [j46]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): 3032-3046 (2023) - [c373]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: 289-299 - [c372]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: 4699-4708 - [i220]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 abs/2302.06692 (2023) - [i219]Zhuang Liu, Zhiqiu Xu, Joseph Jin, Zhiqiang Shen, Trevor Darrell:
Dropout Reduces Underfitting. CoRR abs/2303.01500 (2023) - [i218]Ilija Radosavovic, Tete Xiao, Bike Zhang, Trevor Darrell, Jitendra Malik, Koushil Sreenath:
Learning Humanoid Locomotion with Transformers. CoRR abs/2303.03381 (2023) - [i217]Sheng Shen, Zhewei Yao, Chunyuan Li, Trevor Darrell, Kurt Keutzer, Yuxiong He:
Scaling Vision-Language Models with Sparse Mixture of Experts. CoRR abs/2303.07226 (2023) - 2022
- [c371]Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell, Eric Po Xing:
Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning. AAAI 2022: 2216-2224 - [c370]Rodolfo Corona, Shizhan Zhu, Dan Klein, Trevor Darrell:
Voxel-informed Language Grounding. ACL (2) 2022: 54-60 - [c369]Sanjay Subramanian, William Merrill, Trevor Darrell, Matt Gardner, Sameer Singh, Anna Rohrbach:
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension. ACL (1) 2022: 5198-5215 - [c368]Ilija Radosavovic, Tete Xiao, Stephen James, Pieter Abbeel, Jitendra Malik, Trevor Darrell:
Real-World Robot Learning with Masked Visual Pre-training. CoRL 2022: 416-426 - [c367]Dian Chen, Dequan Wang, Trevor Darrell, Sayna Ebrahimi:
Contrastive Test-Time Adaptation. CVPR 2022: 295-305 - [c366]Roei Herzig, Elad Ben-Avraham, Karttikeya Mangalam, Amir Bar, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson:
Object-Region Video Transformers. CVPR 2022: 3138-3149 - [c365]Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie:
A ConvNet for the 2020s. CVPR 2022: 11966-11976 - [c364]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: 14585-14595 - [c363]Suzanne Petryk, Lisa Dunlap, Keyan Nasseri, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach:
On Guiding Visual Attention with Language Specification. CVPR 2022: 18071-18081 - [c362]Evonne Ng, Hanbyul Joo, Liwen Hu, Hao Li, Trevor Darrell, Angjoo Kanazawa, Shiry Ginosar:
Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motion. CVPR 2022: 20363-20373 - [c361]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: 148-166 - [c360]Kuniaki Saito, Ping Hu, Trevor Darrell, Kate Saenko:
Learning to Detect Every Thing in an Open World. ECCV (24) 2022: 268-284 - [c359]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. ECCV (13) 2022: 344-360 - [c358]Medhini Narasimhan, Arsha Nagrani, Chen Sun, Michael Rubinstein, Trevor Darrell, Anna Rohrbach, Cordelia Schmid:
TL;DW? Summarizing Instructional Videos with Task Relevance and Cross-Modal Saliency. ECCV (34) 2022: 540-557 - [c357]Grace Luo, Giscard Biamby, Trevor Darrell, Daniel Fried, Anna Rohrbach:
G3: Geolocation via Guidebook Grounding. EMNLP (Findings) 2022: 5841-5853 - [c356]Zhuang Liu, Zhiqiu Xu, Hung-Ju Wang, Trevor Darrell, Evan Shelhamer:
Anytime Dense Prediction with Confidence Adaptivity. ICLR 2022 - [c355]Shizhan Zhu, Sayna Ebrahimi, Angjoo Kanazawa, Trevor Darrell:
Differentiable Gradient Sampling for Learning Implicit 3D Scene Reconstructions from a Single Image. ICLR 2022 - [c354]Parsa Mahmoudieh, Deepak Pathak, Trevor Darrell:
Zero-Shot Reward Specification via Grounded Natural Language. ICML 2022: 14743-14752 - [c353]Baifeng Shi, Yale Song, Neel Joshi, Trevor Darrell, Xin Wang:
Visual Attention Emerges from Recurrent Sparse Reconstruction. ICML 2022: 20041-20056 - [c352]Huazhe Xu, Yuping Luo, Shaoxiong Wang, Trevor Darrell, Roberto Calandra:
Towards Learning to Play Piano with Dexterous Hands and Touch. IROS 2022: 10410-10416 - [c351]Zhekun Luo, Shalini Ghosh, Devin Guillory, Keizo Kato, Trevor Darrell, Huijuan Xu:
Disentangled Action Recognition with Knowledge Bases. NAACL-HLT 2022: 559-572 - [c350]Giscard Biamby, Grace Luo, Trevor Darrell, Anna Rohrbach:
Twitter-COMMs: Detecting Climate, COVID, and Military Multimodal Misinformation. NAACL-HLT 2022: 1530-1549 - [c349]Jae Sung Park, Sheng Shen, Ali Farhadi, Trevor Darrell, Yejin Choi, Anna Rohrbach:
Exposing the Limits of Video-Text Models through Contrast Sets. NAACL-HLT 2022: 3574-3586 - [c348]Medhini Narasimhan, Shiry Ginosar, Andrew Owens, Alexei A. Efros, Trevor Darrell:
Strumming to the Beat: Audio-Conditioned Contrastive Video Textures. WACV 2022: 507-516 - [c347]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:
Self-Supervised Pretraining Improves Self-Supervised Pretraining. WACV 2022: 1050-1060 - [i216]Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie:
A ConvNet for the 2020s. CoRR abs/2201.03545 (2022) - [i215]Julius Frost, Olivia Watkins, Eric Weiner, Pieter Abbeel, Trevor Darrell, Bryan A. Plummer, Kate Saenko:
Explaining Reinforcement Learning Policies through Counterfactual Trajectories. CoRR abs/2201.12462 (2022) - [i214]Suzanne Petryk, Lisa Dunlap, Keyan Nasseri, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach:
On Guiding Visual Attention with Language Specification. CoRR abs/2202.08926 (2022) - [i213]Tete Xiao, Ilija Radosavovic, Trevor Darrell, Jitendra Malik:
Masked Visual Pre-training for Motor Control. CoRR abs/2203.06173 (2022) - [i212]Olivia Watkins, Trevor Darrell, Pieter Abbeel, Jacob Andreas, Abhishek Gupta:
Teachable Reinforcement Learning via Advice Distillation. CoRR abs/2203.11197 (2022) - [i211]Sanjay Subramanian, William Merrill, Trevor Darrell, Matt Gardner, Sameer Singh, Anna Rohrbach:
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension. CoRR abs/2204.05991 (2022) - [i210]Evonne Ng, Hanbyul Joo, Liwen Hu, Hao Li, Trevor Darrell, Angjoo Kanazawa, Shiry Ginosar:
Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motion. CoRR abs/2204.08451 (2022) - [i209]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 abs/2204.09222 (2022) - [i208]Dian Chen, Dequan Wang, Trevor Darrell, Sayna Ebrahimi:
Contrastive Test-Time Adaptation. CoRR abs/2204.10377 (2022) - [i207]Baifeng Shi, Yale Song, Neel Joshi, Trevor Darrell, Xin Wang:
Visual Attention Emerges from Recurrent Sparse Reconstruction. CoRR abs/2204.10962 (2022) - [i206]Spencer Whitehead, Suzanne Petryk, Vedaad Shakib, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach:
Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly. CoRR abs/2204.13631 (2022) - [i205]Rodolfo Corona, Shizhan Zhu, Dan Klein, Trevor Darrell:
Voxel-informed Language Grounding. CoRR abs/2205.09710 (2022) - [i204]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 abs/2206.06346 (2022) - [i203]Elad Ben-Avraham, Roei Herzig, Karttikeya Mangalam, Amir Bar, Anna Rohrbach, Leonid Karlinsky, Trevor Darrell, Amir Globerson:
Structured Video Tokens @ Ego4D PNR Temporal Localization Challenge 2022. CoRR abs/2206.07689 (2022) - [i202]Zhekun Luo, Shalini Ghosh, Devin Guillory, Keizo Kato, Trevor Darrell, Huijuan Xu:
Disentangled Action Recognition with Knowledge Bases. CoRR abs/2207.01708 (2022) - [i201]Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang:
Back to the Source: Diffusion-Driven Test-Time Adaptation. CoRR abs/2207.03442 (2022) - [i200]Medhini Narasimhan, Arsha Nagrani, Chen Sun, Michael Rubinstein, Trevor Darrell, Anna Rohrbach, Cordelia Schmid:
TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency. CoRR abs/2208.06773 (2022) - [i199]Akash Gokul, Konstantinos Kallidromitis, Shufan Li, Yusuke Kato, Kazuki Kozuka, Trevor Darrell, Colorado J. Reed:
Refine and Represent: Region-to-Object Representation Learning. CoRR abs/2208.11821 (2022) - [i198]Amir Bar, Yossi Gandelsman, Trevor Darrell, Amir Globerson, Alexei A. Efros:
Visual Prompting via Image Inpainting. CoRR abs/2209.00647 (2022) - [i197]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 abs/2209.02836 (2022) - [i196]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 abs/2209.03745 (2022) - [i195]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 abs/2209.08763 (2022) - [i194]Ilija Radosavovic, Tete Xiao, Stephen James, Pieter Abbeel, Jitendra Malik, Trevor Darrell:
Real-World Robot Learning with Masked Visual Pre-training. CoRR abs/2210.03109 (2022) - [i193]Tobias Fischer, Jiangmiao Pang, Thomas E. Huang, Linlu Qiu, Haofeng Chen, Trevor Darrell, Fisher Yu:
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking. CoRR abs/2210.06984 (2022) - [i192]Lisa Dunlap, Clara Mohri, Devin Guillory, Han Zhang, Trevor Darrell, Joseph E. Gonzalez, Aditi Raghunathan, Anna Rohrbach:
Using Language to Extend to Unseen Domains. CoRR abs/2210.09520 (2022) - [i191]Sheng Shen, Shijia Yang, Tianjun Zhang, Bohan Zhai, Joseph E. Gonzalez, Kurt Keutzer, Trevor Darrell:
Multitask Vision-Language Prompt Tuning. CoRR abs/2211.11720 (2022) - [i190]Grace Luo, Giscard Biamby, Trevor Darrell, Daniel Fried, Anna Rohrbach:
G^3: Geolocation via Guidebook Grounding. CoRR abs/2211.15521 (2022) - [i189]Dong Huk Park, Grace Luo, Clayton Toste, Samaneh Azadi, Xihui Liu, Maka Karalashvili, Anna Rohrbach, Trevor Darrell:
Shape-Guided Diffusion with Inside-Outside Attention. CoRR abs/2212.00210 (2022) - [i188]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 abs/2212.04821 (2022) - [i187]Boyi Li, Rodolfo Corona, Karttikeya Mangalam, Catherine Chen, Daniel Flaherty, Serge J. Belongie, Kilian Q. Weinberger, Jitendra Malik, Trevor Darrell, Dan Klein:
Does unsupervised grammar induction need pixels? CoRR abs/2212.10564 (2022) - [i186]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 abs/2212.14532 (2022) - 2021
- [c346]Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer:
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation. AAAI 2021: 3500-3509 - [c345]Jiangmiao Pang, Linlu Qiu, Xia Li, Haofeng Chen, Qi Li, Trevor Darrell, Fisher Yu:
Quasi-Dense Similarity Learning for Multiple Object Tracking. CVPR 2021: 164-173 - [c344]Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Kurt Keutzer, Trevor Darrell, Han Zhao:
Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation. CVPR 2021: 1104-1113 - [c343]Colorado J. Reed, Sean Metzger, Aravind Srinivas, Trevor Darrell, Kurt Keutzer:
SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning. CVPR 2021: 2674-2683 - [c342]Evonne Ng, Shiry Ginosar, Trevor Darrell, Hanbyul Joo:
Body2Hands: Learning To Infer 3D Hands From Conversational Gesture Body Dynamics. CVPR 2021: 11865-11874 - [c341]Xiangyu Yue, Zangwei Zheng, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
Prototypical Cross-Domain Self-Supervised Learning for Few-Shot Unsupervised Domain Adaptation. CVPR 2021: 13834-13844 - [c340]Grace Luo, Trevor Darrell, Anna Rohrbach:
NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media. EMNLP (1) 2021: 6801-6817 - [c339]Devin Guillory, Vaishaal Shankar, Sayna Ebrahimi, Trevor Darrell, Ludwig Schmidt:
Predicting with Confidence on Unseen Distributions. ICCV 2021: 1114-1124 - [c338]Baifeng Shi, Qi Dai, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu:
Temporal Action Detection with Multi-level Supervision. ICCV 2021: 8002-8012 - [c337]Yinbo Chen, Zhuang Liu, Huijuan Xu, Trevor Darrell, Xiaolong Wang:
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning. ICCV 2021: 9042-9051 - [c336]Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell:
Robust Object Detection via Instance-Level Temporal Cycle Confusion. ICCV 2021: 9123-9132 - [c335]Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko:
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density. ICCV 2021: 9164-9173 - [c334]Elad Levi, Tete Xiao, Xiaolong Wang, Trevor Darrell:
Rethinking preventing class-collapsing in metric learning with margin-based losses. ICCV 2021: 10296-10305 - [c333]Tete Xiao, Colorado J. Reed, Xiaolong Wang, Kurt Keutzer, Trevor Darrell:
Region Similarity Representation Learning. ICCV 2021: 10519-10528 - [c332]Zhuang Liu, Xuanlin Li, Bingyi Kang, Trevor Darrell:
Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control. ICLR 2021 - [c331]Sayna Ebrahimi, Suzanne Petryk, Akash Gokul, William Gan, Joseph E. Gonzalez, Marcus Rohrbach, Trevor Darrell:
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting. ICLR 2021 - [c330]Xuanlin Li, Brandon Trabucco, Dong Huk Park, Michael Luo, Sheng Shen, Trevor Darrell, Yang Gao:
Discovering Non-monotonic Autoregressive Orderings with Variational Inference. ICLR 2021 - [c329]Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno A. Olshausen, Trevor Darrell:
Tent: Fully Test-Time Adaptation by Entropy Minimization. ICLR 2021 - [c328]Tete Xiao, Xiaolong Wang, Alexei A. Efros, Trevor Darrell:
What Should Not Be Contrastive in Contrastive Learning. ICLR 2021 - [c327]Amir Bar, Roei Herzig, Xiaolong Wang, Anna Rohrbach, Gal Chechik, Trevor Darrell, Amir Globerson:
Compositional Video Synthesis with Action Graphs. ICML 2021: 662-673 - [c326]Yuqing Du, Olivia Watkins, Trevor Darrell, Pieter Abbeel, Deepak Pathak:
Auto-Tuned Sim-to-Real Transfer. ICRA 2021: 1290-1296 - [c325]Jinkun Cao, Xin Wang, Trevor Darrell, Fisher Yu:
Instance-Aware Predictive Navigation in Multi-Agent Environments. ICRA 2021: 5096-5102 - [c324]Huazhe Xu, Boyuan Chen, Yang Gao, Trevor Darrell:
Zero-shot Policy Learning with Spatial Temporal Reward Decomposition on Contingency-aware Observation. ICRA 2021: 10786-10792 - [c323]Mike Lambeta, Huazhe Xu, Jingwei Xu, Po-Wei Chou, Shaoxiong Wang, Trevor Darrell, Roberto Calandra:
PyTouch: A Machine Learning Library for Touch Processing. ICRA 2021: 13208-13214 - [c322]Guanhua Wang, Zhuang Liu, Brandon Hsieh, Siyuan Zhuang, Joseph Gonzalez, Trevor Darrell, Ion Stoica:
sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data. MLSys 2021 - [c321]Rodolfo Corona, Daniel Fried, Coline Devin, Dan Klein, Trevor Darrell:
Modular Networks for Compositional Instruction Following. NAACL-HLT 2021: 1033-1040 - [c320]Olivia Watkins, Abhishek Gupta, Trevor Darrell, Pieter Abbeel, Jacob Andreas:
Teachable Reinforcement Learning via Advice Distillation. NeurIPS 2021: 6920-6933 - [c319]Medhini Narasimhan, Anna Rohrbach, Trevor Darrell:
CLIP-It! Language-Guided Video Summarization. NeurIPS 2021: 13988-14000 - [c318]Dong Huk Park, Samaneh Azadi, Xihui Liu, Trevor Darrell, Anna Rohrbach:
Benchmark for Compositional Text-to-Image Synthesis. NeurIPS Datasets and Benchmarks 2021 - [c317]Tete Xiao, Mannat Singh, Eric Mintun, Trevor Darrell, Piotr Dollár, Ross B. Girshick:
Early Convolutions Help Transformers See Better. NeurIPS 2021: 30392-30400 - [i185]Jinkun Cao, Xin Wang, Trevor Darrell, Fisher Yu:
Instance-Aware Predictive Navigation in Multi-Agent Environments. CoRR abs/2101.05893 (2021) - [i184]Hou-Ning Hu, Yung-Hsu Yang, Tobias Fischer, Trevor Darrell, Fisher Yu, Min Sun:
Monocular Quasi-Dense 3D Object Tracking. CoRR abs/2103.07351 (2021) - [i183]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:
Self-Supervised Pretraining Improves Self-Supervised Pretraining. CoRR abs/2103.12718 (2021) - [i182]Tete Xiao, Colorado J. Reed, Xiaolong Wang, Kurt Keutzer, Trevor Darrell:
Region Similarity Representation Learning. CoRR abs/2103.12902 (2021) - [i181]Xiangyu Yue, Zangwei Zheng, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation. CoRR abs/2103.16765 (2021) - [i180]Zhuang Liu, Trevor Darrell, Evan Shelhamer:
Confidence Adaptive Anytime Pixel-Level Recognition. CoRR abs/2104.00749 (2021) - [i179]Medhini Narasimhan, Shiry Ginosar, Andrew Owens, Alexei A. Efros, Trevor Darrell:
Strumming to the Beat: Audio-Conditioned Contrastive Video Textures. CoRR abs/2104.02687 (2021) - [i178]Grace Luo, Trevor Darrell, Anna Rohrbach:
NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media. CoRR abs/2104.05893 (2021) - [i177]Yuqing Du, Olivia Watkins, Trevor Darrell, Pieter Abbeel, Deepak Pathak:
Auto-Tuned Sim-to-Real Transfer. CoRR abs/2104.07662 (2021) - [i176]Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell:
Robust Object Detection via Instance-Level Temporal Cycle Confusion. CoRR abs/2104.08381 (2021) - [i175]Dequan Wang, An Ju, Evan Shelhamer, David A. Wagner, Trevor Darrell:
Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks. CoRR abs/2105.08714 (2021) - [i174]Mike Lambeta, Huazhe Xu, Jingwei Xu, Po-Wei Chou, Shaoxiong Wang, Trevor Darrell, Roberto Calandra:
PyTouch: A Machine Learning Library for Touch Processing. CoRR abs/2105.12791 (2021) - [i173]Huazhe Xu, Yuping Luo, Shaoxiong Wang, Trevor Darrell, Roberto Calandra:
Towards Learning to Play Piano with Dexterous Hands and Touch. CoRR abs/2106.02040 (2021) - [i172]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. CoRR abs/2106.04550 (2021) - [i171]Tete Xiao, Mannat Singh, Eric Mintun, Trevor Darrell, Piotr Dollár, Ross B. Girshick:
Early Convolutions Help Transformers See Better. CoRR abs/2106.14881 (2021) - [i170]Medhini Narasimhan, Anna Rohrbach, Trevor Darrell:
CLIP-It! Language-Guided Video Summarization. CoRR abs/2107.00650 (2021) - [i169]Devin Guillory, Vaishaal Shankar, Sayna Ebrahimi, Trevor Darrell, Ludwig Schmidt:
Predicting with Confidence on Unseen Distributions. CoRR abs/2107.03315 (2021) - [i168]Michael Laielli, Giscard Biamby, Dian Chen, Adam Loeffler, Phat Dat Nguyen, Ross Luo, Trevor Darrell, Sayna Ebrahimi:
Region-level Active Learning for Cluttered Scenes. CoRR abs/2108.09186 (2021) - [i167]Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko:
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density. CoRR abs/2108.10860 (2021) - [i166]Dequan Wang, Shaoteng Liu, Sayna Ebrahimi, Evan Shelhamer, Trevor Darrell:
On-target Adaptation. CoRR abs/2109.01087 (2021) - [i165]