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Rui Huang 0001
Person information
- affiliation: The Chinese University of Hong Kong, School of Science and Engineering, Shenzhen, China
- affiliation (former): Huazhong University of Science and Technology, School of Automation, Wuhan, China
- affiliation (former): NEC Laboratories China, Beijing, China
- affiliation (PhD 2008): Rutgers University, New Brunswick, NJ, USA
Other persons with the same name
- Rui Huang — disambiguation page
- Rui Huang 0002 — China University of Petroleum, College of Petroleum Engineering, Beijing, China
- Rui Huang 0003 — Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, China
- Rui Huang 0004 — Shanghai University, School of Communication and Information Engineering, China (and 1 more)
- Rui Huang 0005 — University of York, UK
- Rui Huang 0006 — Civil Aviation University of China, College of Computer Science and Technology, Tianjin, China (and 1 more)
- Rui Huang 0007 — South China University of Technology, School of Automation Science and Engineering, Guangzhou, China
- Rui Huang 0008 — University of Electronic Science and Technology of China, School of Automation Engineering, Center for Robotics, Chengdu, China (and 1 more)
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Journal Articles
- 2024
- [j34]Yongquan Chen, Weiming Fan, Wenli Zheng, Rui Huang, Jiahui Yu:
Predicting Bird's-Eye-View Semantic Representations Using Correlated Context Learning. IEEE Robotics Autom. Lett. 9(5): 4718-4725 (2024) - [j33]Qi Song, Qingyong Hu, Chi Zhang, Yongquan Chen, Rui Huang:
Divide and Conquer: Improving Multi-Camera 3D Perception With 2D Semantic-Depth Priors and Input-Dependent Queries. IEEE Trans. Image Process. 33: 897-909 (2024) - [j32]Yong Zhang, Yingwei Pan, Ting Yao, Rui Huang, Tao Mei, Chang Wen Chen:
End-to-End Video Scene Graph Generation With Temporal Propagation Transformer. IEEE Trans. Multim. 26: 1613-1625 (2024) - [j31]Qi Song, Jie Li, Hao Guo, Rui Huang:
Denoised Non-Local Neural Network for Semantic Segmentation. IEEE Trans. Neural Networks Learn. Syst. 35(5): 7162-7174 (2024) - 2023
- [j30]Haitao Gan, Zhi Yang, Ran Zhou, Li Guo, Zhiwei Ye, Rui Huang:
Safe semi-supervised clustering based on Dempster-Shafer evidence theory. Eng. Appl. Artif. Intell. 123(Part B): 106334 (2023) - [j29]Jie Li, Qi Song, Xiaohu Yan, Yongquan Chen, Rui Huang:
From Front to Rear: 3D Semantic Scene Completion Through Planar Convolution and Attention-Based Network. IEEE Trans. Multim. 25: 8294-8307 (2023) - [j28]Yong Zhang, Yingwei Pan, Ting Yao, Rui Huang, Tao Mei, Chang Wen Chen:
Boosting Scene Graph Generation with Visual Relation Saliency. ACM Trans. Multim. Comput. Commun. Appl. 19(1): 8:1-8:17 (2023) - 2022
- [j27]Shutao Bai, Bingpeng Ma, Hong Chang, Rui Huang, Shiguang Shan, Xilin Chen:
SANet: Statistic Attention Network for Video-Based Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3866-3879 (2022) - 2021
- [j26]Yunhe Gao, Rui Huang, Yiwei Yang, Jie Zhang, Kainan Shao, Changjuan Tao, Yuanyuan Chen, Dimitris N. Metaxas, Hongsheng Li, Ming Chen:
FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images. Medical Image Anal. 67: 101831 (2021) - [j25]Hualie Jiang, Zhe Sheng, Siyu Zhu, Zilong Dong, Rui Huang:
UniFuse: Unidirectional Fusion for 360° Panorama Depth Estimation. IEEE Robotics Autom. Lett. 6(2): 1519-1526 (2021) - [j24]Yucheng Chen, Rui Huang, Hong Chang, Chuanqi Tan, Tao Xue, Bingpeng Ma:
Cross-Modal Knowledge Adaptation for Language-Based Person Search. IEEE Trans. Image Process. 30: 4057-4069 (2021) - 2019
- [j23]Haitao Gan, Yingle Fan, Zhizeng Luo, Rui Huang, Zhi Yang:
Confidence-weighted safe semi-supervised clustering. Eng. Appl. Artif. Intell. 81: 107-116 (2019) - [j22]Shan Zeng, Zhiyong Wang, Rui Huang, Ling Chen, David Feng:
A study on multi-kernel intuitionistic fuzzy C-means clustering with multiple attributes. Neurocomputing 335: 59-71 (2019) - 2018
- [j21]Haitao Gan, Zhenhua Li, Wei Wu, Zhizeng Luo, Rui Huang:
Safety-aware Graph-based Semi-Supervised Learning. Expert Syst. Appl. 107: 243-254 (2018) - [j20]Haitao Gan, Rui Huang, Zhizeng Luo, Xugang Xi, Yunyuan Gao:
On using supervised clustering analysis to improve classification performance. Inf. Sci. 454-455: 216-228 (2018) - 2017
- [j19]Changxin Gao, Feifei Chen, Jin-Gang Yu, Rui Huang, Nong Sang:
Robust Visual Tracking Using Exemplar-Based Detectors. IEEE Trans. Circuits Syst. Video Technol. 27(2): 300-312 (2017) - [j18]Jin Wang, Zheng Wang, Changxin Gao, Nong Sang, Rui Huang:
DeepList: Learning Deep Features With Adaptive Listwise Constraint for Person Reidentification. IEEE Trans. Circuits Syst. Video Technol. 27(3): 513-524 (2017) - [j17]Wei Zhang, Bingpeng Ma, Kan Liu, Rui Huang:
Video-Based Pedestrian Re-Identification by Adaptive Spatio-Temporal Appearance Model. IEEE Trans. Image Process. 26(4): 2042-2054 (2017) - 2016
- [j16]Haitao Gan, Zhizeng Luo, Yao Sun, Xugang Xi, Nong Sang, Rui Huang:
Towards designing risk-based safe Laplacian Regularized Least Squares. Expert Syst. Appl. 45: 1-7 (2016) - [j15]Haitao Gan, Rui Huang, Zhizeng Luo, Yingle Fan, Farong Gao:
Towards a probabilistic semi-supervised Kernel Minimum Squared Error algorithm. Neurocomputing 171: 149-155 (2016) - [j14]Shan Zeng, Rui Huang, Haibing Wang, Zhen Kang:
Image retrieval using spatiograms of colors quantized by Gaussian Mixture Models. Neurocomputing 171: 673-684 (2016) - [j13]Changxin Gao, Nong Sang, Rui Huang:
Spatial multi-scale gradient orientation consistency for place instance and Scene category recognition. Inf. Sci. 372: 84-97 (2016) - [j12]Wei Zhang, Chenfei Qu, Lin Ma, Jingwei Guan, Rui Huang:
Learning structure of stereoscopic image for no-reference quality assessment with convolutional neural network. Pattern Recognit. 59: 176-187 (2016) - [j11]Jun Xiang, Nong Sang, Jianhua Hou, Rui Huang, Changxin Gao:
Hough Forest-based Association Framework with Occlusion Handling for Multi-Target Tracking. IEEE Signal Process. Lett. 23(2): 257-261 (2016) - [j10]Jun Xiang, Nong Sang, Jianhua Hou, Rui Huang, Changxin Gao:
Multitarget Tracking Using Hough Forest Random Field. IEEE Trans. Circuits Syst. Video Technol. 26(11): 2028-2042 (2016) - [j9]Xiaodan Liang, Liang Lin, Qingxing Cao, Rui Huang, Yongtian Wang:
Recognizing Focal Liver Lesions in CEUS With Dynamically Trained Latent Structured Models. IEEE Trans. Medical Imaging 35(3): 713-727 (2016) - 2015
- [j8]Bingpeng Ma, Rui Huang, Lei Qin:
VoD: A novel image representation for head yaw estimation. Neurocomputing 148: 455-466 (2015) - [j7]Yan Ouyang, Nong Sang, Rui Huang:
Accurate and robust facial expressions recognition by fusing multiple sparse representation based classifiers. Neurocomputing 149: 71-78 (2015) - 2014
- [j6]Shan Zeng, Rui Huang, Zhen Kang, Nong Sang:
Image segmentation using spectral clustering of Gaussian mixture models. Neurocomputing 144: 346-356 (2014) - 2013
- [j5]Haitao Gan, Nong Sang, Rui Huang, Xiaojun Tong, Zhiping Dan:
Using clustering analysis to improve semi-supervised classification. Neurocomputing 101: 290-298 (2013) - [j4]Shan Zeng, Xiaojun Tong, Nong Sang, Rui Huang:
A study on semi-supervised FCM algorithm. Knowl. Inf. Syst. 35(3): 585-612 (2013) - 2011
- [j3]Rui Huang, Nong Sang, Dapeng Luo, Qiling Tang:
Image segmentation via coherent clustering in L*a*b* color space. Pattern Recognit. Lett. 32(7): 891-902 (2011) - [j2]Leyuan Liu, Nong Sang, Saiyong Yang, Rui Huang:
Real-time skin color detection under rapidly changing illumination conditions. IEEE Trans. Consumer Electron. 57(3): 1295-1302 (2011) - [j1]Chunming Li, Rui Huang, Zhaohua Ding, Chris Gatenby, Dimitris N. Metaxas, John C. Gore:
A Level Set Method for Image Segmentation in the Presence of Intensity Inhomogeneities With Application to MRI. IEEE Trans. Image Process. 20(7): 2007-2016 (2011)
Conference and Workshop Papers
- 2023
- [c51]Yong Zhang, Yingwei Pan, Ting Yao, Rui Huang, Tao Mei, Chang Wen Chen:
Learning to Generate Language-Supervised and Open-Vocabulary Scene Graph Using Pre-Trained Visual-Semantic Space. CVPR 2023: 2915-2924 - [c50]Shenglong Ye, Feifei Li, Rui Huang:
Synthesizing a Large Scene with Multiple NeRFs. ICIG (5) 2023: 198-209 - [c49]Panwen Hu, Nan Xiao, Feifei Li, Yongquan Chen, Rui Huang:
A Reinforcement Learning-Based Automatic Video Editing Method Using Pre-trained Vision-Language Model. ACM Multimedia 2023: 6441-6450 - [c48]Laiyan Ding, Panwen Hu, Jie Li, Rui Huang:
Towards Balanced RGB-TSDF Fusion for Consistent Semantic Scene Completion by 3D RGB Feature Completion and a Classwise Entropy Loss Function. PRCV (2) 2023: 128-141 - 2022
- [c47]Shutao Bai, Bingpeng Ma, Hong Chang, Rui Huang, Xilin Chen:
Salient-to-Broad Transition for Video Person Re-identification. CVPR 2022: 7329-7338 - [c46]Yong Zhang, Yingwei Pan, Ting Yao, Rui Huang, Tao Mei, Chang Wen Chen:
Exploring Structure-aware Transformer over Interaction Proposals for Human-Object Interaction Detection. CVPR 2022: 19526-19535 - [c45]Kangfu Mei, Vishal M. Patel, Rui Huang:
Deep Semantic Statistics Matching (D2SM) Denoising Network. ECCV (7) 2022: 384-400 - 2021
- [c44]Hualie Jiang, Laiyan Ding, Junjie Hu, Rui Huang:
PLNet: Plane and Line Priors for Unsupervised Indoor Depth Estimation. 3DV 2021: 741-750 - [c43]Qi Song, Kangfu Mei, Rui Huang:
AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing. AAAI 2021: 2567-2575 - [c42]Panwen Hu, Xinyu Zhou, Rui Huang:
Discriminative Clue Alignment Network for Both Image- and Video-Based Person Re-Identification. BMVC 2021: 395 - [c41]Shitao Tang, Chengzhou Tang, Rui Huang, Siyu Zhu, Ping Tan:
Learning Camera Localization via Dense Scene Matching. CVPR 2021: 1831-1841 - [c40]Ruibing Hou, Hong Chang, Bingpeng Ma, Rui Huang, Shiguang Shan:
BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification. CVPR 2021: 2014-2023 - [c39]Panwen Hu, Jiazhen Liu, Tianyu Cao, Rui Huang:
Reinforcement Learning Based Automatic Personal Mashup Generation. ICME 2021: 1-6 - [c38]Kangfu Mei, Shenglong Ye, Rui Huang:
SDAN: Squared Deformable Alignment Network for Learning Misaligned Optical Zoom. ICME 2021: 1-6 - [c37]Jie Li, Laiyan Ding, Rui Huang:
IMENet: Joint 3D Semantic Scene Completion and 2D Semantic Segmentation through Iterative Mutual Enhancement. IJCAI 2021: 793-799 - 2020
- [c36]Jiwei Chen, Yubao Sun, Qingshan Liu, Rui Huang:
Learning Memory Augmented Cascading Network for Compressed Sensing of Images. ECCV (22) 2020: 513-529 - [c35]Hualie Jiang, Laiyan Ding, Zhenglong Sun, Rui Huang:
DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular Videos. IROS 2020: 10061-10067 - 2019
- [c34]Kangfu Mei, Juncheng Li, Jiajie Zhang, Haoyu Wu, Jie Li, Rui Huang:
HighEr-Resolution Network for Image Demosaicing and Enhancing. ICCV Workshops 2019: 3441-3448 - [c33]Andrey Ignatov, Juncheng Li, Jiajie Zhang, Haoyu Wu, Jie Li, Rui Huang, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Yuzhi Zhao, Lai-Man Po, Radu Timofte, Tiantian Zhang, Zongbang Liao, Xiang Shi, Yujia Zhang, Weifeng Ou, Pengfei Xian, Jingjing Xiong, Chang Zhou, Wing Yin Yu, Yubin Yubin, Sung-Jea Ko, Bingxin Hou, Bumjun Park, Songhyun Yu, Sangmin Kim, Jechang Jeong, Seung-Wook Kim, Kwang-Hyun Uhm, Seo-Won Ji, Sung-Jin Cho, Jun-Pyo Hong, Kangfu Mei:
AIM 2019 Challenge on RAW to RGB Mapping: Methods and Results. ICCV Workshops 2019: 3584-3590 - [c32]Hualie Jiang, Rui Huang:
High Quality Monocular Depth Estimation Via A Multi-Scale Network And A Detail-Preserving Objective. ICIP 2019: 1920-1924 - [c31]Panwen Hu, Zizheng Yan, Rui Huang, Feng Yin:
How Effectively can Indoor Wireless Positioning Relieve Visual Tracking Pains: A Cramer-Rao Bound Viewpoi. ICIP 2019: 3083-3087 - [c30]Hualie Jiang, Rui Huang:
Hierarchical Binary Classification for Monocular Depth Estimation. ROBIO 2019: 1975-1980 - 2018
- [c29]Jun Xiang, Guoshuai Zhang, Nong Sang, Rui Huang, Jianhua Hou:
Multiple Object Tracking by Learning Feature Representation and Distance Metric Jointly. BMVC 2018: 139 - 2016
- [c28]Jin Wang, Junkang Zhu, Zheng Wang, Changxin Gao, Nong Sang, Rui Huang:
Contextual Similarity Regularized Metric Learning for person re-identification. ICPR 2016: 2048-2053 - 2015
- [c27]Kan Liu, Bingpeng Ma, Wei Zhang, Rui Huang:
A Spatio-Temporal Appearance Representation for Viceo-Based Pedestrian Re-Identification. ICCV 2015: 3810-3818 - 2014
- [c26]Changxin Gao, Feifei Chen, Jin-Gang Yu, Rui Huang, Nong Sang:
Exemplar-based linear discriminant analysis for robust object tracking. ICIP 2014: 388-392 - [c25]Zhujin Liang, Xiaolong Wang, Rui Huang, Liang Lin:
An expressive deep model for human action parsing from a single image. ICME 2014: 1-6 - [c24]Shan Zeng, Jun Bai, Rui Huang:
Image retrieval based on color-spatial histograms. ICSAI 2014: 780-784 - [c23]Xiaodan Liang, Qingxing Cao, Rui Huang, Liang Lin:
Recognizing focal liver lesions in contrast-enhanced ultrasound with discriminatively trained spatio-temporal model. ISBI 2014: 1184-1187 - [c22]Yuanlu Xu, Bingpeng Ma, Rui Huang, Liang Lin:
Person Search in a Scene by Jointly Modeling People Commonness and Person Uniqueness. ACM Multimedia 2014: 937-940 - 2013
- [c21]Haitao Gan, Nong Sang, Rui Huang, Xi Chen:
Manifold Regularized Gaussian Mixture Model for Semi-supervised Clustering. ACPR 2013: 361-365 - 2012
- [c20]Changxin Gao, Nong Sang, Rui Huang:
Online Transfer Boosting for object tracking. ICPR 2012: 906-909 - 2011
- [c19]Rui Huang, Nong Sang, Vladimir Pavlovic, Dimitris N. Metaxas:
A Belief Propagation algorithm for bias field estimation and image segmentation. ICIP 2011: 37-40 - [c18]Yonggang He, Nong Sang, Rui Huang:
Local Binary Pattern histogram based Texton learning for texture classification. ICIP 2011: 841-844 - 2010
- [c17]Rui Huang, Nong Sang, Leyuan Liu, Qiling Tang:
Saliency Based on Multi-scale Ratio of Dissimilarity. ICPR 2010: 13-16 - [c16]Rui Huang, Nong Sang, Dapeng Luo, Xiaojun Tong:
Enhancing low-contrast image by separately processing illuminance and reflectance. Visual Information Processing 2010: 77010 - [c15]Dapeng Luo, Nong Sang, Rui Huang, Xiaojun Tong:
A novel online learning method for head detection in video sequences. Visual Information Processing 2010: 77010 - [c14]Dapeng Luo, Nong Sang, Rui Huang, Xiaojun Tong:
Improve online boosting algorithm from self-learning cascade classifier. Visual Information Processing 2010: 77010 - 2009
- [c13]Rui Huang, Nong Sang, Qiling Tang:
Segmentation via Incremental Transductive Learning. ICIG 2009: 213-216 - 2008
- [c12]Rui Huang, Nong Sang, Qiling Tang:
Approximation of salient contours in cluttered scenes. ICPR 2008: 1-4 - [c11]Chunming Li, Rui Huang, Zhaohua Ding, Chris Gatenby, Dimitris N. Metaxas, John C. Gore:
A Variational Level Set Approach to Segmentation and Bias Correction of Images with Intensity Inhomogeneity. MICCAI (2) 2008: 1083-1091 - 2007
- [c10]Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas:
Embedded Profile Hidden Markov Models for Shape Analysis. ICCV 2007: 1-8 - [c9]Zhen Qian, Rui Huang, Dimitris N. Metaxas, Leon Axel:
A Novel Tag Removal Technique for Tagged Cardiac Mri and Its Applications. ISBI 2007: 364-367 - [c8]Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas:
Shape Analysis Using Curvature-Based Descriptors and Profile Hidden Markov Models. ISBI 2007: 1220-1223 - 2006
- [c7]Dimitris N. Metaxas, Zhen Qian, Xiaolei Huang, Rui Huang, Ting Chen, Leon Axel:
Hybrid Deformable Models for Medical Segmentation and Registration. ICARCV 2006: 1-6 - [c6]Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas:
A Profile Hidden Markov Model Framework for Modeling and Analysis of Shape. ICIP 2006: 2121-2124 - [c5]Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas:
A tightly coupled region-shape framework for 3D medical image segmentation. ISBI 2006: 426-429 - 2005
- [c4]Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas:
A Hybrid Framework for Image Segmentation Using Probabilistic Integration of Heterogeneous Constraints. CVBIA 2005: 82-92 - [c3]Xiaolei Huang, Zhen Qian, Rui Huang, Dimitris N. Metaxas:
Deformable-Model Based Textured Object Segmentation. EMMCVPR 2005: 119-135 - 2004
- [c2]Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas:
A Graphical Model Framework for Coupling MRFs and Deformable Models. CVPR (2) 2004: 739-746 - [c1]Rui Huang, Dimitris N. Metaxas, Vladimir Pavlovic:
A Hybrid Face Recognition Method using Markov Random Fields. ICPR (3) 2004: 157-160
Parts in Books or Collections
- 2007
- [p1]Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas:
A Graphical Model Framework for Image Segmentation. Applied Graph Theory in Computer Vision and Pattern Recognition 2007: 43-63
Informal and Other Publications
- 2022
- [i21]Yong Zhang, Yingwei Pan, Ting Yao, Rui Huang, Tao Mei, Chang Wen Chen:
Exploring Structure-aware Transformer over Interaction Proposals for Human-Object Interaction Detection. CoRR abs/2206.06291 (2022) - [i20]Kangfu Mei, Vishal M. Patel, Rui Huang:
Deep Semantic Statistics Matching (D2SM) Denoising Network. CoRR abs/2207.09302 (2022) - 2021
- [i19]Hualie Jiang, Zhe Sheng, Siyu Zhu, Zilong Dong, Rui Huang:
UniFuse: Unidirectional Fusion for 360° Panorama Depth Estimation. CoRR abs/2102.03550 (2021) - [i18]Qi Song, Kangfu Mei, Rui Huang:
AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing. CoRR abs/2103.05930 (2021) - [i17]Kejie Qiu, Shenzhou Chen, Jiahui Zhang, Rui Huang, Le Cui, Siyu Zhu, Ping Tan:
Compact 3D Map-Based Monocular Localization Using Semantic Edge Alignment. CoRR abs/2103.14826 (2021) - [i16]Shitao Tang, Chengzhou Tang, Rui Huang, Siyu Zhu, Ping Tan:
Learning Camera Localization via Dense Scene Matching. CoRR abs/2103.16792 (2021) - [i15]Kangfu Mei, Shenglong Ye, Rui Huang:
SDAN: Squared Deformable Alignment Network for Learning Misaligned Optical Zoom. CoRR abs/2104.00848 (2021) - [i14]Yunhe Gao, Rui Huang, Yiwei Yang, Jie Zhang, Kainan Shao, Changjuan Tao, Yuanyuan Chen, Dimitris N. Metaxas, Hongsheng Li, Ming Chen:
FocusNetv2: Imbalanced Large and Small Organ Segmentation with Adversarial Shape Constraint for Head and Neck CT Images. CoRR abs/2104.01771 (2021) - [i13]Ruibing Hou, Hong Chang, Bingpeng Ma, Rui Huang, Shiguang Shan:
BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification. CoRR abs/2104.14783 (2021) - [i12]Jie Li, Laiyan Ding, Rui Huang:
IMENet: Joint 3D Semantic Scene Completion and 2D Semantic Segmentation through Iterative Mutual Enhancement. CoRR abs/2106.15413 (2021) - [i11]Hualie Jiang, Laiyan Ding, Zhenglong Sun, Rui Huang:
Unsupervised Monocular Depth Perception: Focusing on Moving Objects. CoRR abs/2108.13062 (2021) - [i10]Hualie Jiang, Laiyan Ding, Junjie Hu, Rui Huang:
PLNet: Plane and Line Priors for Unsupervised Indoor Depth Estimation. CoRR abs/2110.05839 (2021) - 2020
- [i9]Hualie Jiang, Laiyan Ding, Rui Huang:
DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular Videos. CoRR abs/2003.01360 (2020) - [i8]Kangfu Mei, Yao Lu, Qiaosi Yi, Haoyu Wu, Juncheng Li, Rui Huang:
Disentangle Perceptual Learning through Online Contrastive Learning. CoRR abs/2006.13511 (2020) - [i7]Panwen Hu, Jiazhen Liu, Rui Huang:
Concentrated Multi-Grained Multi-Attention Network for Video Based Person Re-Identification. CoRR abs/2009.13019 (2020) - 2019
- [i6]Panwen Hu, Zizheng Yan, Rui Huang, Feng Yin:
How Effectively Can Indoor Wireless Positioning Relieve Visual Tracking Pains: A Camera-Rao Bound Viewpoint. CoRR abs/1903.03736 (2019) - [i5]Kangfu Mei, Juncheng Li, Jiajie Zhang, Haoyu Wu, Jie Li, Rui Huang:
HighEr-Resolution Network for Image Demosaicing and Enhancing. CoRR abs/1911.08098 (2019) - 2018
- [i4]Jun Xiang, Guoshuai Zhang, Jianhua Hou, Nong Sang, Rui Huang:
Multiple Target Tracking by Learning Feature Representation and Distance Metric Jointly. CoRR abs/1802.03252 (2018) - 2015
- [i3]Zhujin Liang, Xiaolong Wang, Rui Huang, Liang Lin:
An Expressive Deep Model for Human Action Parsing from A Single Image. CoRR abs/1502.00501 (2015) - [i2]Xiaodan Liang, Qingxing Cao, Rui Huang, Liang Lin:
Recognizing Focal Liver Lesions in Contrast-Enhanced Ultrasound with Discriminatively Trained Spatio-Temporal Model. CoRR abs/1502.00750 (2015) - 2014
- [i1]Changxin Gao, Feifei Chen, Jin-Gang Yu, Rui Huang, Nong Sang:
Exemplar-based Linear Discriminant Analysis for Robust Object Tracking. CoRR abs/1402.5697 (2014)
Coauthor Index
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