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Xiuzhuang Zhou
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2020 – today
- 2024
- [j26]Zeqiang Wei, Kai Jin, Zheng Zhang, Xiuzhuang Zhou:
Multi-label contrastive hashing. Pattern Recognit. 149: 110239 (2024) - [j25]Mingyue Niu, Ya Li, Jianhua Tao, Xiuzhuang Zhou, Björn W. Schuller:
DepressionMLP: A Multi-Layer Perceptron Architecture for Automatic Depression Level Prediction via Facial Keypoints and Action Units. IEEE Trans. Circuits Syst. Video Technol. 34(9): 8924-8938 (2024) - [j24]Min Xu, Ximiao Zhang, Xiuzhuang Zhou:
Confidence-Calibrated Face and Kinship Verification. IEEE Trans. Inf. Forensics Secur. 19: 372-384 (2024) - [c33]Yingqian Wang, Zhengyu Liang, Qianyu Chen, Longguang Wang, Jungang Yang, Radu Timofte, Yulan Guo, Wentao Chao, Yiming Kan, Xuechun Wang, Fuqing Duan, Guanghui Wang, Wang Xia, Ziqi Wang, Yue Yan, Peiqi Xia, Shunzhou Wang, Yao Lu, Angulia Yang, Kai Jin, Zeqiang Wei, Sha Guo, Mingzhi Gao, Xiuzhuang Zhou, Zhongxin Yu, Shaofei Luo, Cheng Zhong, Shaorui Chen, Long Peng, Yuhong He, Gaosheng Liu, Huanjing Yue, Jingyu Yang, Zhengjian Yao, Jiakui Hu, Lujia Jin, Zhi-Song Liu, Chenhang He, Jun Xiao, Xiuyuan Wang, Zonglin Tian, Yifan Mao, Deyang Liu, Shizheng Li, Ping An:
NTIRE 2024 Challenge on Light Field Image Super-Resolution: Methods and Results. CVPR Workshops 2024: 6218-6234 - [c32]Ximiao Zhang, Min Xu, Xiuzhuang Zhou:
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection. CVPR 2024: 16699-16708 - [c31]Yu Bai, Bo Zhang, Zheng Zhang, Shuo Yan, Zibo Ma, Wu Liu, Xiuzhuang Zhou, Xiangyang Gong, Wendong Wang:
Norma: A Noise Robust Memory-Augmented Framework for Whole Slide Image Classification. ECCV (51) 2024: 420-437 - [c30]Zeyi Hou, Ruixin Yan, Ziye Yan, Ning Lang, Xiuzhuang Zhou:
Energy-Based Controllable Radiology Report Generation with Medical Knowledge. MICCAI (5) 2024: 240-250 - [c29]Ximiao Zhang, Min Xu, Dehui Qiu, Ruixin Yan, Ning Lang, Xiuzhuang Zhou:
MediCLIP: Adapting CLIP for Few-Shot Medical Image Anomaly Detection. MICCAI (11) 2024: 458-468 - [i7]Ximiao Zhang, Min Xu, Xiuzhuang Zhou:
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection. CoRR abs/2403.05897 (2024) - [i6]Mengwei Wang, Ruixin Yan, Zeyi Hou, Ning Lang, Xiuzhuang Zhou:
A Disease Labeler for Chinese Chest X-Ray Report Generation. CoRR abs/2404.16852 (2024) - [i5]Ximiao Zhang, Min Xu, Dehui Qiu, Ruixin Yan, Ning Lang, Xiuzhuang Zhou:
MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection. CoRR abs/2405.11315 (2024) - [i4]Yonghong Li, Shan Qu, Xiuzhuang Zhou:
Conformal Depression Prediction. CoRR abs/2405.18723 (2024) - 2023
- [c28]Yingqian Wang, Longguang Wang, Zhengyu Liang, Jungang Yang, Radu Timofte, Yulan Guo, Kai Jin, Zeqiang Wei, Angulia Yang, Sha Guo, Mingzhi Gao, Xiuzhuang Zhou, Vinh Van Duong, Thuc Nguyen Huu, Jonghoon Yim, Byeungwoo Jeon, Yutong Liu, Zhen Cheng, Zeyu Xiao, Ruikang Xu, Zhiwei Xiong, Gaosheng Liu, Manchang Jin, Huanjing Yue, Jingyu Yang, Chen Gao, Shuo Zhang, Song Chang, Youfang Lin, Wentao Chao, Xuechun Wang, Guanghui Wang, Fuqing Duan, Wang Xia, Yan Wang, Peiqi Xia, Shunzhou Wang, Yao Lu, Ruixuan Cong, Hao Sheng, Da Yang, Rongshan Chen, Sizhe Wang, Zhenglong Cui, Yilei Chen, Yongjie Lu, Dongjun Cai, Ping An, Ahmed Salem, Hatem Ibrahem, Bilel Yagoub, Hyun Soo Kang, Zekai Zeng, Heng Wu:
NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results. CVPR Workshops 2023: 1320-1335 - [c27]Kai Jin, Angulia Yang, Zeqiang Wei, Sha Guo, Mingzhi Gao, Xiuzhuang Zhou:
DistgEPIT: Enhanced Disparity Learning for Light Field Image Super-Resolution. CVPR Workshops 2023: 1373-1383 - [c26]Zeyi Hou, Ruixin Yan, Qizheng Wang, Ning Lang, Xiuzhuang Zhou:
Diversity-Preserving Chest Radiographs Generation from Reports in One Stage. MICCAI (5) 2023: 482-492 - [i3]Haoqi Ni, Ximiao Zhang, Min Xu, Ning Lang, Xiuzhuang Zhou:
Weakly Supervised Anomaly Detection for Chest X-Ray Image. CoRR abs/2311.09642 (2023) - [i2]Zeqiang Wei, Kai Jin, Xiuzhuang Zhou:
Masked Contrastive Reconstruction for Cross-modal Medical Image-Report Retrieval. CoRR abs/2312.15840 (2023) - 2022
- [j23]Bo Zhang, Yunpeng Tan, Hui Wang, Zheng Zhang, Xiuzhuang Zhou, Jingyun Wu, Yue Mi, Haiwen Huang, Wendong Wang:
LSRML: A latent space regularization based meta-learning framework for MR image segmentation. Pattern Recognit. 130: 108821 (2022) - [j22]Zeyi Hou, Xiuzhuang Zhou:
Joint Adaptation of ICP Proposal and Target Distribution for Probabilistic Surface Registration. IEEE Signal Process. Lett. 29: 259-263 (2022) - [j21]Xiuzhuang Zhou, Zeqiang Wei, Min Xu, Shan Qu, Guodong Guo:
Facial Depression Recognition by Deep Joint Label Distribution and Metric Learning. IEEE Trans. Affect. Comput. 13(3): 1605-1618 (2022) - [c25]Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Liangyu Chen, Xiaojie Chu, Wenqing Yu, Kai Jin, Zeqiang Wei, Sha Guo, Angulia Yang, Xiuzhuang Zhou, Guodong Guo, Bin Dai, Feiyue Peng, Huaxin Xiao, Shen Yan, Yuxiang Liu, Hanxiao Cai, Pu Cao, Yang Nie, Lu Yang, Qing Song, Xiaotao Hu, Jun Xu, Mai Xu, Junpeng Jing, Xin Deng, Qunliang Xing, Minglang Qiao, Zhenyu Guan, Wenlong Guo, Chenxu Peng, Zan Chen, Junyang Chen, Hao Li, Junbin Chen, Weijie Li, Zhijing Yang, Gen Li, Aijin Li, Lei Sun, Dafeng Zhang, Shizhuo Liu, Jiangtao Zhang, Yanyun Qu, Hao-Hsiang Yang, Zhi-Kai Huang, Wei-Ting Chen, Hua-En Chang, Sy-Yen Kuo, Qiaohui Liang, Jianxin Lin, Yijun Wang, Lianying Yin, Rongju Zhang, Wei Zhao, Peng Xiao, Rongjian Xu, Zhilu Zhang, Wangmeng Zuo, Hansheng Guo, Guangwei Gao, Tieyong Zeng, Huicheng Pi, Shunli Zhang, Joohyeok Kim, HyeonA Kim, Eunpil Park, Jae-Young Sim, Jucai Zhai, Pengcheng Zeng, Yang Liu, Chihao Ma, Yulin Huang, Junying Chen:
NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results. CVPR Workshops 2022: 905-918 - [c24]Kai Jin, Zeqiang Wei, Angulia Yang, Sha Guo, Mingzhi Gao, Xiuzhuang Zhou, Guodong Guo:
SwiniPASSR: Swin Transformer based Parallax Attention Network for Stereo Image Super-Resolution. CVPR Workshops 2022: 919-928 - [i1]Min Xu, Ximiao Zhang, Xiuzhuang Zhou:
Confidence-Calibrated Face and Kinship Verification. CoRR abs/2210.13905 (2022) - 2021
- [c23]Ximiao Zhang, Min Xu, Xiuzhuang Zhou, Guodong Guo:
Supervised Contrastive Learning for Facial Kinship Recognition. FG 2021: 1-5 - [c22]Peng Huang, Xiuzhuang Zhou, Zeqiang Wei, Guodong Guo:
Energy-Based Supervised Hashing for Multimorbidity Image Retrieval. MICCAI (5) 2021: 205-214 - 2020
- [j20]Xiuzhuang Zhou, Kai Jin, Yuanyuan Shang, Guodong Guo:
Visually Interpretable Representation Learning for Depression Recognition from Facial Images. IEEE Trans. Affect. Comput. 11(3): 542-552 (2020)
2010 – 2019
- 2019
- [j19]Xiuzhuang Zhou, Kai Jin, Min Xu, Guodong Guo:
Learning deep compact similarity metric for kinship verification from face images. Inf. Fusion 48: 84-94 (2019) - [c21]Lin Geng, Min Xu, Zeqiang Wei, Xiuzhuang Zhou:
Learning Deep Spatiotemporal Feature for Engagement Recognition of Online Courses. SSCI 2019: 442-447 - 2018
- [j18]Xiuzhuang Zhou, Min Xu:
Model-Based Proposal Learning for Monte Carlo Optimization of Redundancy Allocation Problem. IEEE Access 6: 47953-47958 (2018) - [j17]Xiuzhuang Zhou, Kai Jin, Qian Chen, Min Xu, Yuanyuan Shang:
Multiple face tracking and recognition with identity-specific localized metric learning. Pattern Recognit. 75: 41-50 (2018) - [c20]Xiuzhuang Zhou, Zheng Zhang, Zeqiang Wei, Kai Jin, Min Xu:
Consistency-Exclusivity Regularized Deep Metric Learning for General Kinship Verification. ICME 2018: 1-6 - 2017
- [j16]Zhong Luan, Yuanyuan Shang, Xiuzhuang Zhou, Zhuhong Shao, Guodong Guo, Xiaoming Liu:
Fast single image dehazing based on a regression model. Neurocomputing 245: 10-22 (2017) - [j15]Xiuzhuang Zhou, Qirun Huo, Yuanyuan Shang, Min Xu, Hui Ding:
Learning spatially regularized similarity for robust visual tracking. Image Vis. Comput. 60: 134-141 (2017) - [c19]Yajun Kang, Xiao Jiang, Ye Yin, Yuanyuan Shang, Xiuzhuang Zhou:
Deep Transformation Learning for Depression Diagnosis from Facial Images. CCBR 2017: 13-22 - [c18]Tan Zhao, Hui Ding, Yuanyuan Shang, Xiuzhuang Zhou:
Low-Light Image Enhancement Based on Constrained Norm Estimation. CCCV (1) 2017: 368-379 - 2016
- [j14]Min Xu, Xiuzhuang Zhou, Qirun Huo, Haomin Liu:
Efficient Stochastic Approximation Monte Carlo Sampling for Heterogeneous Redundancy Allocation Problem. IEEE Access 4: 7383-7390 (2016) - [j13]Xiuzhuang Zhou, Haibin Yan, Yuanyuan Shang:
Kinship verification from facial images by scalable similarity fusion. Neurocomputing 197: 136-142 (2016) - [j12]Xiuzhuang Zhou, Lin Ma, Yuanyuan Shang, Min Xu, Xiaoyan Fu, Hui Ding:
Hybrid generative-discriminative learning for online tracking of sperm cell. Neurocomputing 208: 218-224 (2016) - [j11]Yuanyuan Shang, Ge Li, Zhong Luan, Xiuzhuang Zhou, Guodong Guo:
Sky detection by effective context inference. Neurocomputing 208: 238-248 (2016) - [j10]Xiuzhuang Zhou, Yuanyuan Shang, Haibin Yan, Guodong Guo:
Ensemble similarity learning for kinship verification from facial images in the wild. Inf. Fusion 32: 40-48 (2016) - [c17]Yida Wang, Can Cui, Xiuzhuang Zhou, Weihong Deng:
ZigzagNet: Efficient Deep Learning for Real Object Recognition Based on 3D Models. ACCV (4) 2016: 456-471 - 2015
- [j9]Jiwen Lu, Venice Erin Liong, Xiuzhuang Zhou, Jie Zhou:
Learning Compact Binary Face Descriptor for Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 37(10): 2041-2056 (2015) - [j8]Haibin Yan, Jiwen Lu, Xiuzhuang Zhou:
Prototype-Based Discriminative Feature Learning for Kinship Verification. IEEE Trans. Cybern. 45(11): 2535-2545 (2015) - [c16]Jiwen Lu, Junlin Hu, Venice Erin Liong, Xiuzhuang Zhou, Andrea Bottino, Ihtesham Ul Islam, Tiago Figueiredo Vieira, Xiaoqian Qin, Xiaoyang Tan, Songcan Chen, Shahar Mahpod, Yosi Keller, Lilei Zheng, Khalid Idrissi, Christophe Garcia, Stefan Duffner, Atilla Baskurt, Modesto Castrillón Santana, Javier Lorenzo-Navarro:
The FG 2015 Kinship Verification in the Wild Evaluation. FG 2015: 1-7 - [c15]Junlin Hu, Jiwen Lu, Xiuzhuang Zhou, Yap-Peng Tan:
Discriminative transfer learning for single-sample face recognition. ICB 2015: 272-277 - [c14]Haibin Yan, Xiuzhuang Zhou, Yongxin Ge:
Neighborhood repulsed correlation metric learning for kinship verification. VCIP 2015: 1-4 - 2014
- [j7]Haibin Yan, Jiwen Lu, Xiuzhuang Zhou, Yuanyuan Shang:
Multi-feature multi-manifold learning for single-sample face recognition. Neurocomputing 143: 134-143 (2014) - [j6]Jiwen Lu, Xiuzhuang Zhou, Yap-Peng Tan, Yuanyuan Shang, Jie Zhou:
Neighborhood Repulsed Metric Learning for Kinship Verification. IEEE Trans. Pattern Anal. Mach. Intell. 36(2): 331-345 (2014) - [j5]Weihong Deng, Jiani Hu, Xiuzhuang Zhou, Jun Guo:
Equidistant prototypes embedding for single sample based face recognition with generic learning and incremental learning. Pattern Recognit. 47(12): 3738-3749 (2014) - [j4]Haibin Yan, Jiwen Lu, Weihong Deng, Xiuzhuang Zhou:
Discriminative Multimetric Learning for Kinship Verification. IEEE Trans. Inf. Forensics Secur. 9(7): 1169-1178 (2014) - [c13]Xiaoyan Fu, Yuanyuan Shang, Hui Ding, Xiuzhuang Zhou:
Diagonal Interacting Multiple Model H ∞ Filtering for Simultaneuos Sensor Localization and Target Tracking with NLOS Mitigation. ECC (1) 2014: 57-66 - [c12]Haibin Yan, Jiwen Lu, Xiuzhuang Zhou:
Activity-Based Person Identification Using Discriminative Sparse Projections and Orthogonal Ensemble Metric Learning. ECCV Workshops (2) 2014: 809-824 - [c11]Jiwen Lu, Junlin Hu, Xiuzhuang Zhou, Jie Zhou, Modesto Castrillón Santana, Javier Lorenzo-Navarro, Lu Kou, Yuanyuan Shang, Andrea Bottino, Tiago Figueiredo Vieira:
Kinship verification in the wild: The first kinship verification competition. IJCB 2014: 1-6 - [c10]Xiuzhuang Zhou, Lu Kou, Hui Ding, Xiaoyan Fu, Yuanyuan Shang:
Similarity learning for template-based visual tracking. ICME Workshops 2014: 1-6 - 2013
- [j3]Xiuzhuang Zhou, Yuanyuan Shang, Jiwen Lu:
Polygonal Approximation of Digital Planar Curves via Hybrid Monte Carlo Optimization. IEEE Signal Process. Lett. 20(2): 125-128 (2013) - 2012
- [j2]Jiwen Lu, Xiuzhuang Zhou, Yap-Peng Tan, Yuanyuan Shang, Jie Zhou:
Cost-Sensitive Semi-Supervised Discriminant Analysis for Face Recognition. IEEE Trans. Inf. Forensics Secur. 7(3): 944-953 (2012) - [j1]Xiuzhuang Zhou, Yao Lu, Jiwen Lu, Jie Zhou:
Abrupt Motion Tracking Via Intensively Adaptive Markov-Chain Monte Carlo Sampling. IEEE Trans. Image Process. 21(2): 789-801 (2012) - [c9]Jiwen Lu, Junlin Hu, Xiuzhuang Zhou, Yuanyuan Shang, Yap-Peng Tan, Gang Wang:
Neighborhood repulsed metric learning for kinship verification. CVPR 2012: 2594-2601 - [c8]Xiuzhuang Zhou, Jiwen Lu, Junlin Hu, Yuanyuan Shang:
Gabor-based gradient orientation pyramid for kinship verification under uncontrolled environments. ACM Multimedia 2012: 725-728 - [c7]Jiwen Lu, Junlin Hu, Xiuzhuang Zhou, Yuanyuan Shang:
Activity-based person identification using sparse coding and discriminative metric learning. ACM Multimedia 2012: 1061-1064 - 2011
- [c6]Xiuzhuang Zhou, Junlin Hu, Jiwen Lu, Yuanyuan Shang, Yong Guan:
Kinship verification from facial images under uncontrolled conditions. ACM Multimedia 2011: 953-956 - 2010
- [c5]Xiuzhuang Zhou, Yao Lu:
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling. CVPR 2010: 1847-1854 - [c4]Xiuzhuang Zhou, Yao Lu:
Polygonal approximation of digital curves using adaptive MCMC sampling. ICIP 2010: 2753-2756 - [c3]Xiuzhuang Zhou, Yao Lu:
Efficient Polygonal Approximation of Digital Curves via Monte Carlo Optimization. ICPR 2010: 3513-3516
2000 – 2009
- 2009
- [c2]Xiuzhuang Zhou, Yao Lu:
Efficient Mean Shift Particle Filter for Sperm Cells Tracking. CIS (1) 2009: 335-339 - 2008
- [c1]Xiuzhuang Zhou, Yao Lu, Ziye Yan:
Image Completion for Overlapping Chromosomes. PACIIA (1) 2008: 413-417
Coauthor Index
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last updated on 2025-01-10 18:34 CET by the dblp team
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