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Xiang Yu 0002
Person information
- affiliation: NEC Laboratories America, Department of Media Analytics, Cupertino, CA, USA
- affiliation (former): Rutgers University, Department of Computer Science, NJ, USA
Other persons with the same name
- Xiang Yu — disambiguation page
- Xiang Yu 0001 — University of Waterloo, Department of Electrical and Computer Engineering, ON, Canada
- Xiang Yu 0003 — Concordia University, Department of Mechanical, Industrial and Aerospace Engineering, Montreal, Canada (and 1 more)
- Xiang Yu 0004 — Southwest Jiaotong University, School of Information Science and Technology, Chengdu, China
- Xiang Yu 0005 — Xidian University, Xi'an, China
- Xiang Yu 0006 — Nanchang Institute of Technology, Provincial Key Laboratory for Water Information Cooperative Sensing and Intelligent Processing, China (and 1 more)
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2020 – today
- 2024
- [j7]Salman Siddique Khan, Xiang Yu, Kaushik Mitra, Manmohan Chandraker, Francesco Pittaluga:
OpEnCam: Lensless Optical Encryption Camera. IEEE Trans. Computational Imaging 10: 1306-1316 (2024) - [j6]Ronghang Zhu, Dongliang Guo, Daiqing Qi, Zhixuan Chu, Xiang Yu, Sheng Li:
A Survey of Trustworthy Representation Learning Across Domains. ACM Trans. Knowl. Discov. Data 18(7): 173 (2024) - 2023
- [j5]Ronghang Zhu, Xiang Yu, Sheng Li:
Semi-Supervised Single Domain Generalization with Label-Free Adversarial Data Augmentation. Trans. Mach. Learn. Res. 2023 (2023) - [c37]Zaid Khan, B. G. Vijay Kumar, Samuel Schulter, Xiang Yu, Yun Fu, Manmohan Chandraker:
Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images! CVPR 2023: 15005-15015 - [c36]Mateusz Michalkiewicz, Masoud Faraki, Xiang Yu, Manmohan Chandraker, Mahsa Baktashmotlagh:
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters. ICCV 2023: 6154-6165 - [c35]Di Liu, Xiang Yu, Meng Ye, Qilong Zhangli, Zhuowei Li, Zhixing Zhang, Dimitris N. Metaxas:
DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image. ICCV 2023: 14190-14200 - [c34]Ronghang Zhu, Xiang Yu, Sheng Li:
Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer. ICLR 2023 - [c33]Weijian Deng, Yumin Suh, Xiang Yu, Masoud Faraki, Liang Zheng, Manmohan Chandraker:
Split to Learn: Gradient Split for Multi-Task Human Image Analysis. WACV 2023: 4340-4349 - [i23]Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Xiang Yu, Yun Fu, Manmohan Chandraker:
Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images! CoRR abs/2306.03932 (2023) - [i22]Ronghang Zhu, Dongliang Guo, Daiqing Qi, Zhixuan Chu, Xiang Yu, Sheng Li:
Trustworthy Representation Learning Across Domains. CoRR abs/2308.12315 (2023) - [i21]Di Liu, Xiang Yu, Meng Ye, Qilong Zhangli, Zhuowei Li, Zhixing Zhang, Dimitris N. Metaxas:
DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image. CoRR abs/2309.12594 (2023) - [i20]Mateusz Michalkiewicz, Masoud Faraki, Xiang Yu, Manmohan Chandraker, Mahsa Baktashmotlagh:
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters. CoRR abs/2310.07361 (2023) - 2022
- [c32]Chang Liu, Xiang Yu, Yi-Hsuan Tsai, Masoud Faraki, Ramin Moslemi, Manmohan Chandraker, Yun Fu:
Learning to Learn across Diverse Data Biases in Deep Face Recognition. CVPR 2022: 4062-4072 - [c31]Christian Simon, Masoud Faraki, Yi-Hsuan Tsai, Xiang Yu, Samuel Schulter, Yumin Suh, Mehrtash Harandi, Manmohan Chandraker:
On Generalizing Beyond Domains in Cross-Domain Continual Learning. CVPR 2022: 9255-9264 - [c30]Dripta S. Raychaudhuri, Yumin Suh, Samuel Schulter, Xiang Yu, Masoud Faraki, Amit K. Roy-Chowdhury, Manmohan Chandraker:
Controllable Dynamic Multi-Task Architectures. CVPR 2022: 10945-10954 - [c29]Zaid Tasneem, Giovanni Milione, Yi-Hsuan Tsai, Xiang Yu, Ashok Veeraraghavan, Manmohan Chandraker, Francesco Pittaluga:
Learning Phase Mask for Privacy-Preserving Passive Depth Estimation. ECCV (7) 2022: 504-521 - [c28]Zaid Khan, B. G. Vijay Kumar, Xiang Yu, Samuel Schulter, Manmohan Chandraker, Yun Fu:
Single-Stream Multi-level Alignment for Vision-Language Pretraining. ECCV (36) 2022: 735-751 - [i19]Christian Simon, Masoud Faraki, Yi-Hsuan Tsai, Xiang Yu, Samuel Schulter, Yumin Suh, Mehrtash Harandi, Manmohan Chandraker:
On Generalizing Beyond Domains in Cross-Domain Continual Learning. CoRR abs/2203.03970 (2022) - [i18]Zaid Khan, Vijay Kumar B. G, Xiang Yu, Samuel Schulter, Manmohan Chandraker, Yun Fu:
Single-Stream Multi-Level Alignment for Vision-Language Pretraining. CoRR abs/2203.14395 (2022) - [i17]Dripta S. Raychaudhuri, Yumin Suh, Samuel Schulter, Xiang Yu, Masoud Faraki, Amit K. Roy-Chowdhury, Manmohan Chandraker:
Controllable Dynamic Multi-Task Architectures. CoRR abs/2203.14949 (2022) - 2021
- [c27]Masoud Faraki, Xiang Yu, Yi-Hsuan Tsai, Yumin Suh, Manmohan Chandraker:
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains. CVPR 2021: 15292-15301 - [c26]Donghyun Kim, Yi-Hsuan Tsai, Bingbing Zhuang, Xiang Yu, Stan Sclaroff, Kate Saenko, Manmohan Chandraker:
Learning Cross-Modal Contrastive Features for Video Domain Adaptation. ICCV 2021: 13598-13607 - [i16]Masoud Faraki, Xiang Yu, Yi-Hsuan Tsai, Yumin Suh, Manmohan Chandraker:
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains. CoRR abs/2103.07503 (2021) - [i15]Donghyun Kim, Yi-Hsuan Tsai, Bingbing Zhuang, Xiang Yu, Stan Sclaroff, Kate Saenko, Manmohan Chandraker:
Learning Cross-modal Contrastive Features for Video Domain Adaptation. CoRR abs/2108.11974 (2021) - 2020
- [c25]Yichun Shi, Xiang Yu, Kihyuk Sohn, Manmohan Chandraker, Anil K. Jain:
Towards Universal Representation Learning for Deep Face Recognition. CVPR 2020: 6816-6825 - [c24]Yuqing Zhu, Xiang Yu, Manmohan Chandraker, Yu-Xiang Wang:
Private-kNN: Practical Differential Privacy for Computer Vision. CVPR 2020: 11851-11859 - [c23]Aruni RoyChowdhury, Xiang Yu, Kihyuk Sohn, Erik G. Learned-Miller, Manmohan Chandraker:
Improving Face Recognition by Clustering Unlabeled Faces in the Wild. ECCV (24) 2020: 119-136 - [c22]Junru Wu, Xiang Yu, Ding Liu, Manmohan Chandraker, Zhangyang Wang:
DAVID: Dual-Attentional Video Deblurring. WACV 2020: 2365-2374 - [i14]Yichun Shi, Xiang Yu, Kihyuk Sohn, Manmohan Chandraker, Anil K. Jain:
Towards Universal Representation Learning for Deep Face Recognition. CoRR abs/2002.11841 (2020) - [i13]Aruni RoyChowdhury, Xiang Yu, Kihyuk Sohn, Erik G. Learned-Miller, Manmohan Chandraker:
Improving Face Recognition by Clustering Unlabeled Faces in the Wild. CoRR abs/2007.06995 (2020) - [i12]Yuqing Zhu, Xiang Yu, Yi-Hsuan Tsai, Francesco Pittaluga, Masoud Faraki, Manmohan Chandraker, Yu-Xiang Wang:
Voting-based Approaches For Differentially Private Federated Learning. CoRR abs/2010.04851 (2020) - [i11]Junru Wu, Xiang Yu, Buyu Liu, Zhangyang Wang, Manmohan Chandraker:
Uncertainty-Aware Physically-Guided Proxy Tasks for Unseen Domain Face Anti-spoofing. CoRR abs/2011.14054 (2020)
2010 – 2019
- 2019
- [j4]Lezi Wang, Xiang Yu, Thirimachos Bourlai, Dimitris N. Metaxas:
A coupled encoder-decoder network for joint face detection and landmark localization. Image Vis. Comput. 87: 37-46 (2019) - [j3]Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager, Manmohan Chandraker:
Deep Supervision with Intermediate Concepts. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 1828-1843 (2019) - [c21]Luan Tran, Kihyuk Sohn, Xiang Yu, Xiaoming Liu, Manmohan Chandraker:
Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild. CVPR Workshops 2019: 65-74 - [c20]Luan Tran, Kihyuk Sohn, Xiang Yu, Xiaoming Liu, Manmohan Chandraker:
Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild. CVPR 2019: 2672-2681 - [c19]Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker:
Feature Transfer Learning for Face Recognition With Under-Represented Data. CVPR 2019: 5704-5713 - [c18]Kihyuk Sohn, Wenling Shang, Xiang Yu, Manmohan Chandraker:
Unsupervised Domain Adaptation for Distance Metric Learning. ICLR (Poster) 2019 - [i10]Feng-Ju Chang, Xiang Yu, Ram Nevatia, Manmohan Chandraker:
Pose-variant 3D Facial Attribute Generation. CoRR abs/1907.10202 (2019) - [i9]Junru Wu, Xiang Yu, Ding Liu, Manmohan Chandraker, Zhangyang Wang:
DAVID: Dual-Attentional Video Deblurring. CoRR abs/1912.03445 (2019) - 2018
- [i8]Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager, Manmohan Chandraker:
Deep Supervision with Intermediate Concepts. CoRR abs/1801.03399 (2018) - [i7]Luan Tran, Kihyuk Sohn, Xiang Yu, Xiaoming Liu, Manmohan Chandraker:
Joint Pixel and Feature-level Domain Adaptation in the Wild. CoRR abs/1803.00068 (2018) - [i6]Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker:
Feature Transfer Learning for Deep Face Recognition with Long-Tail Data. CoRR abs/1803.09014 (2018) - 2017
- [c17]Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager, Manmohan Chandraker:
Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing. CVPR 2017: 388-397 - [c16]Lezi Wang, Xiang Yu, Dimitris N. Metaxas:
A Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization. FG 2017: 251-257 - [c15]Xi Peng, Xiang Yu, Kihyuk Sohn, Dimitris N. Metaxas, Manmohan Chandraker:
Reconstruction-Based Disentanglement for Pose-Invariant Face Recognition. ICCV 2017: 1632-1641 - [c14]Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker:
Towards Large-Pose Face Frontalization in the Wild. ICCV 2017: 4010-4019 - [c13]Kihyuk Sohn, Sifei Liu, Guangyu Zhong, Xiang Yu, Ming-Hsuan Yang, Manmohan Chandraker:
Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos. ICCV 2017: 5917-5925 - [c12]Guobin Chen, Wongun Choi, Xiang Yu, Tony X. Han, Manmohan Chandraker:
Learning Efficient Object Detection Models with Knowledge Distillation. NIPS 2017: 742-751 - [i5]Xi Peng, Xiang Yu, Kihyuk Sohn, Dimitris N. Metaxas, Manmohan Chandraker:
Reconstruction for Feature Disentanglement in Pose-invariant Face Recognition. CoRR abs/1702.03041 (2017) - [i4]Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker:
Towards Large-Pose Face Frontalization in the Wild. CoRR abs/1704.06244 (2017) - [i3]Kihyuk Sohn, Sifei Liu, Guangyu Zhong, Xiang Yu, Ming-Hsuan Yang, Manmohan Chandraker:
Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos. CoRR abs/1708.02191 (2017) - 2016
- [j2]Xiang Yu, Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas:
Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model. IEEE Trans. Pattern Anal. Mach. Intell. 38(11): 2212-2226 (2016) - [c11]Xiang Yu, Feng Zhou, Manmohan Chandraker:
Deep Deformation Network for Object Landmark Localization. ECCV (5) 2016: 52-70 - [c10]Xiang Yu, Zhe Lin, Shaoting Zhang, Dimitris N. Metaxas:
Nonlinear Hierarchical Part-Based Regression for Unconstrained Face Alignment. IJCAI 2016: 2711-2717 - [c9]Xiang Yu, Jianchao Yang, Linjie Luo, Wilmot Li, Jonathan Brandt, Dimitris N. Metaxas:
Customized expression recognition for performance-driven cutout character animation. WACV 2016: 1-9 - [i2]Xiang Yu, Feng Zhou, Manmohan Chandraker:
Deep Deformation Network for Object Landmark Localization. CoRR abs/1605.01014 (2016) - [i1]Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager, Manmohan Chandraker:
Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing. CoRR abs/1612.02699 (2016) - 2015
- [j1]Xiang Yu, Shaoting Zhang, Zhennan Yan, Fei Yang, Junzhou Huang, Norah E. Dunbar, Matthew L. Jensen, Judee K. Burgoon, Dimitris N. Metaxas:
Is Interactional Dissynchrony a Clue to Deception? Insights From Automated Analysis of Nonverbal Visual Cues. IEEE Trans. Cybern. 45(3): 506-520 (2015) - 2014
- [c8]Xiang Yu, Zhe Lin, Jonathan Brandt, Dimitris N. Metaxas:
Consensus of Regression for Occlusion-Robust Facial Feature Localization. ECCV (4) 2014: 105-118 - [c7]Bo Liu, Jingjing Liu, Xiang Yu, Dimitris N. Metaxas, Carol Neidle:
3D Face Tracking and Multi-Scale, Spatio-temporal Analysis of Linguistically Significant Facial Expressions and Head Positions in ASL. LREC 2014: 4512-4518 - 2013
- [c6]Xiang Yu, Shaoting Zhang, Bo Liu, Lin Zhong, Dimitris N. Metaxas:
Large Scale Medical Image Search via Unsupervised PCA Hashing. CVPR Workshops 2013: 393-398 - [c5]Xiang Yu, Fei Yang, Junzhou Huang, Dimitris N. Metaxas:
Explicit occlusion detection based deformable fitting for facial landmark localization. FG 2013: 1-6 - [c4]Xiang Yu, Shaoting Zhang, Yang Yu, Norah E. Dunbar, Matthew L. Jensen, Judee K. Burgoon, Dimitris N. Metaxas:
Automated analysis of interactional synchrony using robust facial tracking and expression recognition. FG 2013: 1-6 - [c3]Xiang Yu, Junzhou Huang, Shaoting Zhang, Wang Yan, Dimitris N. Metaxas:
Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model. ICCV 2013: 1944-1951 - 2012
- [c2]Fei Yang, Junzhou Huang, Xiang Yu, Xinyi Cui, Dimitris N. Metaxas:
Robust face tracking with a consumer depth camera. ICIP 2012: 561-564 - [c1]Fei Yang, Xiang Yu, Junzhou Huang, Peng Yang, Dimitris N. Metaxas:
Robust eyelid tracking for fatigue detection. ICIP 2012: 1829-1832
Coauthor Index
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