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Kevin J. Liang
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2020 – today
- 2024
- [c20]Weiyao Wang, Pierre Gleize, Hao Tang, Xingyu Chen, Kevin J. Liang, Matt Feiszli:
ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization. CVPR 2024: 5406-5417 - [c19]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 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 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:
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. CVPR 2024: 19383-19400 - [c18]Nikhil Mehta, Kevin J. Liang, Jing Huang, Fu-Jen Chu, Li Yin, Tal Hassner:
HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings. WACV 2024: 2399-2409 - [c17]Vinay Kumar Verma, Nikhil Mehta, Kevin J. Liang, Aakansha Mishra, Lawrence Carin:
Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning. WACV 2024: 2709-2719 - [i25]Weiyao Wang, Pierre Gleize, Hao Tang, Xingyu Chen, Kevin J. Liang, Matt Feiszli:
ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization. CoRR abs/2401.08937 (2024) - 2023
- [c16]Peri Akiva, Jing Huang, Kevin J. Liang, Rama Kovvuri, Xingyu Chen, Matt Feiszli, Kristin J. Dana, Tal Hassner:
Self-Supervised Object Detection from Egocentric Videos. ICCV 2023: 5202-5214 - [c15]Hao Tang, Kevin J. Liang, Kristen Grauman, Matt Feiszli, Weiyao Wang:
EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset. NeurIPS 2023 - [c14]Samrudhdhi B. Rangrej, Kevin J. Liang, Tal Hassner, James J. Clark:
GliTr: Glimpse Transformers with Spatiotemporal Consistency for Online Action Prediction. WACV 2023: 3402-3412 - [i24]Hao Tang, Kevin J. Liang, Kristen Grauman, Matt Feiszli, Weiyao Wang:
EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset. CoRR abs/2301.03213 (2023) - [i23]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.:
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. CoRR abs/2311.18259 (2023) - [i22]Vinay Kumar Verma, Nikhil Mehta, Kevin J. Liang, Aakansha Mishra, Lawrence Carin:
Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning. CoRR abs/2312.01167 (2023) - [i21]Nikhil Mehta, Kevin J. Liang, Jing Huang, Fu-Jen Chu, Li Yin, Tal Hassner:
HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings. CoRR abs/2312.15086 (2023) - 2022
- [j1]Weituo Hao
, Nikhil Mehta, Kevin J. Liang
WAFFLe: Weight Anonymized Factorization for Federated Learning. IEEE Access 10: 49207-49218 (2022) - [c13]Li Yin, Juan M. Perez-Rua, Kevin J. Liang:
Sylph: A Hypernetwork Framework for Incremental Few-shot Object Detection. CVPR 2022: 9025-9035 - [c12]Kevin J. Liang, Samrudhdhi B. Rangrej, Vladan Petrovic, Tal Hassner:
Few-shot Learning with Noisy Labels. CVPR 2022: 9079-9088 - [c11]Jing Huang
Task Grouping for Multilingual Text Recognition. ECCV Workshops (4) 2022: 297-313 - [i20]Sachin Konan, Kevin J. Liang, Li Yin:
Extending One-Stage Detection with Open-World Proposals. CoRR abs/2201.02302 (2022) - [i19]Li Yin, Juan M. Perez-Rua, Kevin J. Liang:
Sylph: A Hypernetwork Framework for Incremental Few-shot Object Detection. CoRR abs/2203.13903 (2022) - [i18]Kevin J. Liang, Samrudhdhi B. Rangrej, Vladan Petrovic, Tal Hassner:
Few-shot Learning with Noisy Labels. CoRR abs/2204.05494 (2022) - [i17]Jing Huang, Kevin J. Liang, Rama Kovvuri, Tal Hassner:
Task Grouping for Multilingual Text Recognition. CoRR abs/2210.07423 (2022) - [i16]Samrudhdhi B. Rangrej, Kevin J. Liang, Tal Hassner, James J. Clark:
GliTr: Glimpse Transformers with Spatiotemporal Consistency for Online Action Prediction. CoRR abs/2210.13605 (2022) - 2021
- [c10]Nikhil Mehta, Kevin J. Liang, Vinay Kumar Verma, Lawrence Carin:
Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors. AISTATS 2021: 100-108 - [c9]Weituo Hao, Mostafa El-Khamy
Towards Fair Federated Learning With Zero-Shot Data Augmentation. CVPR Workshops 2021: 3310-3319 - [c8]Jing Huang
A Multiplexed Network for End-to-End, Multilingual OCR. CVPR 2021: 4547-4557 - [c7]Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Piyush Rai, Lawrence Carin:
Efficient Feature Transformations for Discriminative and Generative Continual Learning. CVPR 2021: 13865-13875 - [c6]Nathan Inkawhich, Kevin J. Liang, Jingyang Zhang, Huanrui Yang, Hai Li, Yiran Chen:
Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap? ICCVW 2021: 41-50 - [c5]Kevin J. Liang, Weituo Hao, Dinghan Shen, Yufan Zhou, Weizhu Chen, Changyou Chen, Lawrence Carin:
MixKD: Towards Efficient Distillation of Large-scale Language Models. ICLR 2021 - [i15]Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Lawrence Carin:
Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning. CoRR abs/2102.11856 (2021) - [i14]Nathan Inkawhich, Kevin J. Liang, Jingyang Zhang, Huanrui Yang, Hai Li, Yiran Chen:
Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap? CoRR abs/2103.09916 (2021) - [i13]Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Piyush Rai, Lawrence Carin:
Efficient Feature Transformations for Discriminative and Generative Continual Learning. CoRR abs/2103.13558 (2021) - [i12]Jing Huang, Guan Pang, Rama Kovvuri, Mandy Toh, Kevin J. Liang, Praveen Krishnan, Xi Yin, Tal Hassner:
A Multiplexed Network for End-to-End, Multilingual OCR. CoRR abs/2103.15992 (2021) - [i11]Weituo Hao, Mostafa El-Khamy, Jungwon Lee, Jianyi Zhang, Kevin J. Liang, Changyou Chen, Lawrence Carin:
Towards Fair Federated Learning with Zero-Shot Data Augmentation. CoRR abs/2104.13417 (2021) - 2020
- [b1]Kevin J. Liang:
Deep Automatic Threat Recognition: Considerations for Airport X-Ray Baggage Screening. Duke University, Durham, NC, USA, 2020 - [c4]Yuewei Yang, Kevin J. Liang, Lawrence Carin:
Object Detection as a Positive-Unlabeled Problem. BMVC 2020 - [c3]Nathan Inkawhich, Kevin J. Liang, Lawrence Carin, Yiran Chen:
Transferable Perturbations of Deep Feature Distributions. ICLR 2020 - [c2]Nathan Inkawhich, Kevin J. Liang, Binghui Wang, Matthew Inkawhich, Lawrence Carin, Yiran Chen:
Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability. NeurIPS 2020 - [i10]Yuewei Yang, Kevin J. Liang
Object Detection as a Positive-Unlabeled Problem. CoRR abs/2002.04672 (2020) - [i9]Nikhil Mehta, Kevin J. Liang
Bayesian Nonparametric Weight Factorization for Continual Learning. CoRR abs/2004.10098 (2020) - [i8]Nathan Inkawhich, Kevin J. Liang
Transferable Perturbations of Deep Feature Distributions. CoRR abs/2004.12519 (2020) - [i7]Nathan Inkawhich, Kevin J. Liang
Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability. CoRR abs/2004.14861 (2020) - [i6]Weituo Hao, Nikhil Mehta, Kevin J. Liang, Pengyu Cheng, Mostafa El-Khamy, Lawrence Carin:
WAFFLe: Weight Anonymized Factorization for Federated Learning. CoRR abs/2008.05687 (2020) - [i5]John B. Sigman, Gregory P. Spell, Kevin J. Liang, Lawrence Carin:
Background Adaptive Faster R-CNN for Semi-Supervised Convolutional Object Detection of Threats in X-Ray Images. CoRR abs/2010.01202 (2020) - [i4]Kevin J. Liang, Weituo Hao, Dinghan Shen, Yufan Zhou, Weizhu Chen, Changyou Chen, Lawrence Carin:
MixKD: Towards Efficient Distillation of Large-scale Language Models. CoRR abs/2011.00593 (2020)
2010 – 2019
- 2019
- [c1]Kevin J. Liang, Guoyin Wang, Yitong Li, Ricardo Henao, Lawrence Carin:
Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods. NeurIPS 2019: 3387-3398 - [i3]Kevin J. Liang
Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods. CoRR abs/1910.04233 (2019) - [i2]Kevin J. Liang
Toward Automatic Threat Recognition for Airport X-ray Baggage Screening with Deep Convolutional Object Detection. CoRR abs/1912.06329 (2019) - 2018
- [i1]Kevin J. Liang
Generative Adversarial Network Training is a Continual Learning Problem. CoRR abs/1811.11083 (2018)
Coauthor Index
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last updated on 2024-10-30 20:34 CET by the dblp team
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