Kevin J. Liang

57 papers A* 14A 6Journal 33Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. Int. J. Comput. Vis. Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zachary Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, María Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Dutt Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J. Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina González, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, Anush Kumar, Robert Kuo, Sach Lakhavani, Miao Liu, Mi Luo, Zhengyi Luo, Brighid Meredith, Austin Miller, Oluwatumininu Oguntola, Xiaqing Pan, Penny Peng, Shraman Pramanick, Merey Ramazanova, Fiona Ryan, Wei Shan, Kiran K. Somasundaram, Chenan Song, Audrey Southerland, Masatoshi Tateno, Huiyu Wang, Yuchen Wang, Takuma Yagi, Mingfei Yan, Xitong Yang, Zecheng Yu, Shengxin Cindy Zha, Chen Zhao, Ziwei Zhao, Zhifan Zhu, Jeff Zhuo, Pablo Arbeláez, Gedas Bertasius, David Crandall, Dima Damen, Jakob Julian Engel, Giovanni Maria Farinella, Antonino Furnari, Bernard Ghanem, Judy Hoffman, C. V. Jawahar, Richard A. Newcombe, Hyun Soo Park, James M. Rehg, Yoichi Sato, Manolis Savva, Jianbo Shi, Mike Zheng Shout, Michael Wray
2025	A*	`conf`	Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass. CVPR Jianing Yang, Alexander Sax, Kevin J. Liang, Mikael Henaff, Hao Tang, Ang Cao, Joyce Chai, Franziska Meier, Matt Feiszli
2025	J	`jnl`	Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass. CoRR Jianing Yang, Alexander Sax, Kevin J. Liang, Mikael Henaff, Hao Tang, Ang Cao, Joyce Chai, Franziska Meier, Matt Feiszli
2025	J	`jnl`	HOIGPT: Learning Long Sequence Hand-Object Interaction with Language Models. CoRR Mingzhen Huang, Fu-Jen Chu, Bugra Tekin, Kevin J. Liang, Haoyu Ma, Weiyao Wang, Xingyu Chen, Pierre Gleize, Hongfei Xue, Siwei Lyu, Kris Kitani, Matt Feiszli, Hao Tang
2025	A*	`conf`	HOIGPT: Learning Long-Sequence Hand-Object Interaction with Language Models. CVPR Mingzhen Huang, Fu-Jen Chu, Bugra Tekin, Kevin J. Liang, Haoyu Ma, Weiyao Wang, Xingyu Chen, Pierre Gleize, Hongfei Xue, Siwei Lyu, Kris Kitani, Matt Feiszli, Hao Tang
2025	J	`jnl`	Multi-SpatialMLLM: Multi-Frame Spatial Understanding with Multi-Modal Large Language Models. CoRR Runsen Xu, Weiyao Wang, Hao Tang, Xingyu Chen, Xiaodong Wang, Fu-Jen Chu, Dahua Lin, Matt Feiszli, Kevin J. Liang
2025	A	`conf`	OmniPose6D: Towards Short-Term Object Pose Tracking in Dynamic Scenes from Monocular RGB. IROS Yunzhi Lin, Yipu Zhao, Fu-Jen Chu, Xingyu Chen, Weiyao Wang, Hao Tang, Patricio A. Vela, Matt Feiszli, Kevin J. Liang
2025	J	`jnl`	SAM 3D: 3Dfy Anything in Images. CoRR SAM 3D Team, Xingyu Chen, Fu-Jen Chu, Pierre Gleize, Kevin J. Liang, Alexander Sax, Hao Tang, Weiyao Wang, Michelle Guo, Thibaut Hardin, Xiang Li, Aohan Lin, Jiawei Liu, Ziqi Ma, Anushka Sagar, Bowen Song, Xiaodong Wang, Jianing Yang, Bowen Zhang, Piotr Dollár, Georgia Gkioxari, Matt Feiszli, Jitendra Malik
2025	J	`jnl`	SiamMM: A Mixture Model Perspective on Deep Unsupervised Learning. CoRR Xiaodong Wang, Jing Huang, Kevin J. Liang
2024	A*	`conf`	Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. CVPR Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zachary Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, María Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Dutt Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J. Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina González, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, Anush Kumar, Robert Kuo, Sach Lakhavani, Miao Liu, Mi Luo, Zhengyi Luo, Brighid Meredith, Austin Miller, Oluwatumininu Oguntola, Xiaqing Pan, Penny Peng, Shraman Pramanick, Merey Ramazanova, Fiona Ryan, Wei Shan, Kiran K. Somasundaram, Chenan Song, Audrey Southerland, Masatoshi Tateno, Huiyu Wang, Yuchen Wang, Takuma Yagi, Mingfei Yan, Xitong Yang, Zecheng Yu, Shengxin Cindy Zha, Chen Zhao, Ziwei Zhao, Zhifan Zhu, Jeff Zhuo, Pablo Arbeláez, Gedas Bertasius, Dima Damen, Jakob J. Engel, Giovanni Maria Farinella, Antonino Furnari, Bernard Ghanem, Judy Hoffman, C. V. Jawahar, Richard A. Newcombe, Hyun Soo Park, James M. Rehg, Yoichi Sato, Manolis Savva, Jianbo Shi, Mike Zheng Shout, Michael Wray
2024	A	`conf`	HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings. WACV Nikhil Mehta, Kevin J. Liang, Jing Huang, Fu-Jen Chu, Li Yin, Tal Hassner
2024	A*	`conf`	ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization. CVPR Weiyao Wang, Pierre Gleize, Hao Tang, Xingyu Chen, Kevin J. Liang, Matt Feiszli
2024	J	`jnl`	ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization. CoRR Weiyao Wang, Pierre Gleize, Hao Tang, Xingyu Chen, Kevin J. Liang, Matt Feiszli
2024	A	`conf`	Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning. WACV Vinay Kumar Verma, Nikhil Mehta, Kevin J. Liang, Aakansha Mishra, Lawrence Carin
2024	J	`jnl`	OmniPose6D: Towards Short-Term Object Pose Tracking in Dynamic Scenes from Monocular RGB. CoRR Yunzhi Lin, Yipu Zhao, Fu-Jen Chu, Xingyu Chen, Weiyao Wang, Hao Tang, Patricio A. Vela, Matt Feiszli, Kevin J. Liang
2023	J	`jnl`	Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. CoRR Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zachary Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, María Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Dutt Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J. Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina González, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, et al.
2023	A*	`conf`	EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset. NeurIPS Hao Tang, Kevin J. Liang, Kristen Grauman, Matt Feiszli, Weiyao Wang
2023	J	`jnl`	EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset. CoRR Hao Tang, Kevin J. Liang, Kristen Grauman, Matt Feiszli, Weiyao Wang
2023	A	`conf`	GliTr: Glimpse Transformers with Spatiotemporal Consistency for Online Action Prediction. WACV Samrudhdhi B. Rangrej, Kevin J. Liang, Tal Hassner, James J. Clark
2023	J	`jnl`	HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings. CoRR Nikhil Mehta, Kevin J. Liang, Jing Huang, Fu-Jen Chu, Li Yin, Tal Hassner
2023	J	`jnl`	Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning. CoRR Vinay Kumar Verma, Nikhil Mehta, Kevin J. Liang, Aakansha Mishra, Lawrence Carin
2023	A*	`conf`	Self-Supervised Object Detection from Egocentric Videos. ICCV Peri Akiva, Jing Huang, Kevin J. Liang, Rama Kovvuri, Xingyu Chen, Matt Feiszli, Kristin J. Dana, Tal Hassner
2022	J	`jnl`	Extending One-Stage Detection with Open-World Proposals. CoRR Sachin Konan, Kevin J. Liang, Li Yin
2022	A*	`conf`	Few-shot Learning with Noisy Labels. CVPR Kevin J. Liang, Samrudhdhi B. Rangrej, Vladan Petrovic, Tal Hassner
2022	J	`jnl`	Few-shot Learning with Noisy Labels. CoRR Kevin J. Liang, Samrudhdhi B. Rangrej, Vladan Petrovic, Tal Hassner
2022	J	`jnl`	GliTr: Glimpse Transformers with Spatiotemporal Consistency for Online Action Prediction. CoRR Samrudhdhi B. Rangrej, Kevin J. Liang, Tal Hassner, James J. Clark
2022	A*	`conf`	Sylph: A Hypernetwork Framework for Incremental Few-shot Object Detection. CVPR Li Yin, Juan M. Perez-Rua, Kevin J. Liang
2022	J	`jnl`	Sylph: A Hypernetwork Framework for Incremental Few-shot Object Detection. CoRR Li Yin, Juan M. Perez-Rua, Kevin J. Liang
2022	—	`conf`	Task Grouping for Multilingual Text Recognition. ECCV Workshops (4) Jing Huang, Kevin J. Liang, Rama Kovvuri, Tal Hassner
2022	J	`jnl`	Task Grouping for Multilingual Text Recognition. CoRR Jing Huang, Kevin J. Liang, Rama Kovvuri, Tal Hassner
2022	J	`jnl`	WAFFLe: Weight Anonymized Factorization for Federated Learning. IEEE Access Weituo Hao, Nikhil Mehta, Kevin J. Liang, Pengyu Cheng, Mostafa El-Khamy, Lawrence Carin
2021	A*	`conf`	A Multiplexed Network for End-to-End, Multilingual OCR. CVPR Jing Huang, Guan Pang, Rama Kovvuri, Mandy Toh, Kevin J. Liang, Praveen Krishnan, Xi Yin, Tal Hassner
2021	J	`jnl`	A Multiplexed Network for End-to-End, Multilingual OCR. CoRR Jing Huang, Guan Pang, Rama Kovvuri, Mandy Toh, Kevin J. Liang, Praveen Krishnan, Xi Yin, Tal Hassner
2021	—	`conf`	Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap? ICCVW Nathan Inkawhich, Kevin J. Liang, Jingyang Zhang, Huanrui Yang, Hai Li, Yiran Chen
2021	J	`jnl`	Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap? CoRR Nathan Inkawhich, Kevin J. Liang, Jingyang Zhang, Huanrui Yang, Hai Li, Yiran Chen
2021	A	`conf`	Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors. AISTATS Nikhil Mehta, Kevin J. Liang, Vinay Kumar Verma, Lawrence Carin
2021	A*	`conf`	Efficient Feature Transformations for Discriminative and Generative Continual Learning. CVPR Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Piyush Rai, Lawrence Carin
2021	J	`jnl`	Efficient Feature Transformations for Discriminative and Generative Continual Learning. CoRR Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Piyush Rai, Lawrence Carin
2021	J	`jnl`	Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning. CoRR Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Lawrence Carin
2021	A*	`conf`	MixKD: Towards Efficient Distillation of Large-scale Language Models. ICLR Kevin J. Liang, Weituo Hao, Dinghan Shen, Yufan Zhou, Weizhu Chen, Changyou Chen, Lawrence Carin
2021	—	`conf`	Towards Fair Federated Learning With Zero-Shot Data Augmentation. CVPR Workshops Weituo Hao, Mostafa El-Khamy, Jungwon Lee, Jianyi Zhang, Kevin J. Liang, Changyou Chen, Lawrence Carin
2021	J	`jnl`	Towards Fair Federated Learning with Zero-Shot Data Augmentation. CoRR Weituo Hao, Mostafa El-Khamy, Jungwon Lee, Jianyi Zhang, Kevin J. Liang, Changyou Chen, Lawrence Carin
2020	J	`jnl`	Background Adaptive Faster R-CNN for Semi-Supervised Convolutional Object Detection of Threats in X-Ray Images. CoRR John B. Sigman, Gregory P. Spell, Kevin J. Liang, Lawrence Carin
2020	J	`jnl`	Bayesian Nonparametric Weight Factorization for Continual Learning. CoRR Nikhil Mehta, Kevin J. Liang, Lawrence Carin
2020	—	`—`	Deep Automatic Threat Recognition: Considerations for Airport X-Ray Baggage Screening. Kevin J. Liang
2020	J	`jnl`	MixKD: Towards Efficient Distillation of Large-scale Language Models. CoRR Kevin J. Liang, Weituo Hao, Dinghan Shen, Yufan Zhou, Weizhu Chen, Changyou Chen, Lawrence Carin
2020	A	`conf`	Object Detection as a Positive-Unlabeled Problem. BMVC Yuewei Yang, Kevin J. Liang, Lawrence Carin
2020	J	`jnl`	Object Detection as a Positive-Unlabeled Problem. CoRR Yuewei Yang, Kevin J. Liang, Lawrence Carin
2020	A*	`conf`	Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability. NeurIPS Nathan Inkawhich, Kevin J. Liang, Binghui Wang, Matthew Inkawhich, Lawrence Carin, Yiran Chen
2020	J	`jnl`	Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability. CoRR Nathan Inkawhich, Kevin J. Liang, Binghui Wang, Matthew Inkawhich, Lawrence Carin, Yiran Chen
2020	A*	`conf`	Transferable Perturbations of Deep Feature Distributions. ICLR Nathan Inkawhich, Kevin J. Liang, Lawrence Carin, Yiran Chen
2020	J	`jnl`	Transferable Perturbations of Deep Feature Distributions. CoRR Nathan Inkawhich, Kevin J. Liang, Lawrence Carin, Yiran Chen
2020	J	`jnl`	WAFFLe: Weight Anonymized Factorization for Federated Learning. CoRR Weituo Hao, Nikhil Mehta, Kevin J. Liang, Pengyu Cheng, Mostafa El-Khamy, Lawrence Carin
2019	A*	`conf`	Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods. NeurIPS Kevin J. Liang, Guoyin Wang, Yitong Li, Ricardo Henao, Lawrence Carin
2019	J	`jnl`	Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods. CoRR Kevin J. Liang, Guoyin Wang, Yitong Li, Ricardo Henao, Lawrence Carin
2019	J	`jnl`	Toward Automatic Threat Recognition for Airport X-ray Baggage Screening with Deep Convolutional Object Detection. CoRR Kevin J. Liang, John B. Sigman, Gregory P. Spell, Dan Strellis, William Chang, Felix Liu, Tejas Mehta, Lawrence Carin
2018	J	`jnl`	Generative Adversarial Network Training is a Continual Learning Problem. CoRR Kevin J. Liang, Chunyuan Li, Guoyin Wang, Lawrence Carin