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Dong Huang 0007
Person information
- affiliation: Carnegie Mellon University, Robotics Institute, Pittsburgh, PA, USA
- affiliation (PhD 2009): University of Electronic Science and Technology of China, Chengdu, China
Other persons with the same name
- Dong Huang — disambiguation page
- Dong Huang 0001
— South China Agricultural University, College of Mathematics and Informatics, Guangzhou, China (and 2 more)
- Dong Huang 0002
- Dong Huang 0003
- Dong Huang 0004
- Dong Huang 0005
- Dong Huang 0006
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2020 – today
- 2023
- [c20]Jinqi Luo, Zhaoning Wang, Chen Henry Wu, Dong Huang, Fernando De la Torre:
Zero-Shot Model Diagnosis. CVPR 2023: 11631-11640 - [i7]Jiaqi Geng, Dong Huang, Fernando De la Torre:
DensePose From WiFi. CoRR abs/2301.00250 (2023) - [i6]Jinqi Luo, Zhaoning Wang, Chen Henry Wu, Dong Huang, Fernando De la Torre:
Semantic Image Attack for Visual Model Diagnosis. CoRR abs/2303.13010 (2023) - [i5]Jinqi Luo, Zhaoning Wang, Chen Henry Wu, Dong Huang, Fernando De la Torre:
Zero-shot Model Diagnosis. CoRR abs/2303.15441 (2023) - 2022
- [c19]Zechun Liu, Kwang-Ting Cheng, Dong Huang, Eric P. Xing, Zhiqiang Shen:
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. CVPR 2022: 4932-4942 - [c18]Zeyi Huang, Haohan Wang, Dong Huang, Yong Jae Lee, Eric P. Xing:
The Two Dimensions of Worst-case Training and Their Integrated Effect for Out-of-domain Generalization. CVPR 2022: 9621-9631 - [i4]Zeyi Huang, Haohan Wang, Dong Huang, Yong Jae Lee, Eric P. Xing:
The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization. CoRR abs/2204.04384 (2022) - 2021
- [j2]Junwei Han
Weakly-Supervised Learning of Category-Specific 3D Object Shapes. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1423-1437 (2021) - [c17]Zechun Liu, Zhiqiang Shen, Shichao Li, Koen Helwegen, Dong Huang, Kwang-Ting Cheng:
How Do Adam and Training Strategies Help BNNs Optimization. ICML 2021: 6936-6946 - [i3]Zechun Liu, Zhiqiang Shen, Shichao Li, Koen Helwegen, Dong Huang, Kwang-Ting Cheng:
How Do Adam and Training Strategies Help BNNs Optimization? CoRR abs/2106.11309 (2021) - [i2]Zechun Liu, Kwang-Ting Cheng, Dong Huang, Eric P. Xing, Zhiqiang Shen:
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. CoRR abs/2111.14826 (2021) - 2020
- [c16]Zeyi Huang, Haohan Wang, Eric P. Xing, Dong Huang:
Self-challenging Improves Cross-Domain Generalization. ECCV (2) 2020: 124-140 - [i1]Zeyi Huang, Haohan Wang, Eric P. Xing, Dong Huang:
Self-Challenging Improves Cross-Domain Generalization. CoRR abs/2007.02454 (2020)
2010 – 2019
- 2019
- [c15]Jia Chen, Jiang Liu, Junwei Liang
Minding the Gaps in a Video Action Analysis Pipeline. WACV Workshops 2019: 41-46 - 2018
- [c14]Dingwen Zhang, Guangyu Guo, Dong Huang, Junwei Han:
PoseFlow: A Deep Motion Representation for Understanding Human Behaviors in Videos. CVPR 2018: 6762-6770 - [c13]Jia Chen, Shizhe Chen, Qin Jin, Alexander G. Hauptmann, Po-Yao Huang, Junwei Liang, Vaibhav, Xiaojun Chang, Jiang Liu, Ting-Yao Hu, Wenhe Liu, Wei Ke, Wayner Barrios, Haroon Idrees, Donghyun Yoo, Yaser Sheikh, Ruslan Salakhutdinov, Kris Kitani, Dong Huang:
Informedia @ TRECVID 2018: Ad-hoc Video Search, Video to Text Description, Activities in Extended video. TRECVID 2018 - 2017
- [c12]Dingwen Zhang, Junwei Han, Yang Yang, Dong Huang:
Learning Category-Specific 3D Shape Models from Weakly Labeled 2D Images. CVPR 2017: 3587-3595 - [c11]Dong Huang, Longfei Han
Soft-Margin Mixture of Regressions. CVPR 2017: 4058-4066 - [c10]Longfei Han
Self-paced Mixture of Regressions. IJCAI 2017: 1816-1822 - 2016
- [j1]Dong Huang, Ricardo Silveira Cabral, Fernando De la Torre:
Robust Regression. IEEE Trans. Pattern Anal. Mach. Intell. 38(2): 363-375 (2016) - 2015
- [c9]Wei Xi, Dong Huang, Kun Zhao, Yubo Yan, Yuanhang Cai, Rong Ma, Deng Chen:
Device-free Human Activity Recognition using CSI. CSAR@SenSys 2015: 31-36 - 2014
- [c8]Yingying Zhu, Dong Huang, Fernando De la Torre, Simon Lucey
Complex Non-rigid Motion 3D Reconstruction by Union of Subspaces. CVPR 2014: 1542-1549 - [c7]Dong Huang, Shitong Yao, Yi Wang, Fernando De la Torre:
Sequential Max-Margin Event Detectors. ECCV (3) 2014: 410-424 - 2012
- [c6]Dong Huang, Fernando De la Torre:
Facial Action Transfer with Personalized Bilinear Regression. ECCV (2) 2012: 144-158 - [c5]Dong Huang, Ricardo Silveira Cabral, Fernando De la Torre:
Robust Regression. ECCV (4) 2012: 616-630 - 2011
- [c4]Dong Huang, Kelly Meyers, Séverine Henry, Fernando De la Torre, Charles Christopher Horn:
Non-rigid tracking of musk shrews in video for detection of emetic episodes. CVPR Workshops 2011: 17-23 - [c3]Dong Huang, Yuandong Tian, Fernando De la Torre:
Local isomorphism to solve the pre-image problem in kernel methods. CVPR 2011: 2761-2768 - [c2]Dong Huang, Markus Storer, Fernando De la Torre, Horst Bischof:
Supervised local subspace learning for continuous head pose estimation. CVPR 2011: 2921-2928 - 2010
- [c1]Dong Huang, Fernando De la Torre:
Bilinear Kernel Reduced Rank Regression for Facial Expression Synthesis. ECCV (2) 2010: 364-377
Coauthor Index
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