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6th PRCV 2023: Xiamen, China - Part V
- Qingshan Liu
, Hanzi Wang
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part V. Lecture Notes in Computer Science 14429, Springer 2024, ISBN 978-981-99-8468-8
Biometric Recognition
- Bin Zhang, Xiangyu Zhu, Xiaoyu Zhang, Shukai Chen, Peng Li, Zhen Lei:
Spoof-Guided Image Decomposition for Face Anti-spoofing. 3-15 - Yanfeng Xiao, Feng Liu, Xu Tan:
TransFCN: A Novel One-Stage High-Resolution Fingerprint Representation Method. 16-28 - Hui Zhang, Jiewen Yang, Xingbo Dong, Xingguo Lv, Wei Jia, Zhe Jin, Xuejun Li:
A Video Face Recognition Leveraging Temporal Information Based on Vision Transformer. 29-43 - Jinghui Sun, Yuhe Ding, Jie Cao, Junxian Duan, Aihua Zheng:
Where to Focus: Central Attention-Based Face Forgery Detection. 44-56 - Dezhi Li, Hojin Park, Xingbo Dong, Yen-Lung Lai, Hui Zhang, Andrew Beng Jin Teoh, Zhe Jin:
Minimum Assumption Reconstruction Attacks: Rise of Security and Privacy Threats Against Face Recognition. 57-73 - Jiachen Lu, Zhihao Wang, Zhongguang Zhang, Yawen Du, Yulin Zhou, Zhao Wang:
Emotion Recognition via 3D Skeleton Based Gait Analysis Using Multi-thread Attention Graph Convolutional Networks. 74-85 - Xiufeng Shi, Lu Yang, Jie Guo, Yuling Ma:
Cross-Area Finger Vein Recognition via Hierarchical Sparse Representation. 86-96 - Pengyu Peng, Zongyong Deng, Feiyu Zhu, Qijun Zhao:
Non-local Temporal Modeling for Practical Skeleton-Based Gait Recognition. 97-109 - Xinxin Liu, Huabin Wang
PalmKeyNet: Palm Template Protection Based on Multi-modal Shared Key. 110-121 - Hangyu Li, Zuowei Zhang, Zhuhong Shao, Bin Chen, Yuanyuan Shang:
Full Quaternion Matrix-Based Multiscale Principal Component Analysis Network for Facial Expression Recognition. 122-133 - Yuanling Lv, Yan Yan, Hanzi Wang:
Joint Relation Modeling and Feature Learning for Class-Incremental Facial Expression Recognition. 134-146 - Zijie Mei, Zhanyong Mei, Tong He, Sijia Yi, Hui Zeng, Yingyi Li:
RepGCN: A Novel Graph Convolution-Based Model for Gait Recognition with Accompanying Behaviors. 147-158 - Jun Zhang
KDFAS: Multi-stage Knowledge Distillation Vision Transformer for Face Anti-spoofing. 159-171 - Chengcheng Lu, Yiben Jiang, Keren Fu, Qijun Zhao, Hongyu Yang:
Long Short-Term Perception Network for Dynamic Facial Expression Recognition. 172-184
Face Recognition and Pose Recognition
- Li Jing, Guangchao Yang, Yunfei Yin:
Pyr-HGCN: Pyramid Hybrid Graph Convolutional Network for Gait Emotion Recognition. 187-198 - Long Rao, Xinghao Huang, Shipeng Cai, Bowen Tian, Wei Xu, Wenqing Cheng:
A Dual-Path Approach for Gaze Following in Fisheye Meeting Scenes. 199-210 - Xinyu Nan
Mobile-LRPose: Low-Resolution Representation Learning for Human Pose Estimation in Mobile Devices. 211-224 - Liuwei An
Attention and Relative Distance Alignment for Low-Resolution Facial Expression Recognition. 225-237 - Neng Fang, Bo Xiao, Bo Wang, Chong Li, Lanxiang Zhou:
Exploring Frequency Attention Learning and Contrastive Learning for Face Forgery Detection. 238-251 - Yutong Li, Juan Wang, Zhenyu Liu, Li Zhou, Haibo Zhang, Cheng Tang, Xiping Hu, Bin Hu:
An Automatic Depression Detection Method with Cross-Modal Fusion Network and Multi-head Attention Mechanism. 252-264 - Zehao Lin, Jiahui She, Qiu Shen:
AU-Oriented Expression Decomposition Learning for Facial Expression Recognition. 265-277 - Yuyang Sha, Weiyu Meng, Xiaobing Zhai, Can Xie, Kefeng Li:
Accurate Facial Landmark Detector via Multi-scale Transformer. 278-290 - Ziyang Zhang
ASM: Adaptive Sample Mining for In-The-Wild Facial Expression Recognition. 291-302 - Chen Zheng
Deep Face Recognition with Cosine Boundary Softmax Loss. 303-314 - Chang Shu, Feng Xue:
A Mix Fusion Spatial-Temporal Network for Facial Expression Recognition. 315-326 - Danya Chen, Lijun Wu, Zhicong Chen, Xufeng Lin:
CTHPose: An Efficient and Effective CNN-Transformer Hybrid Network for Human Pose Estimation. 327-339
Structural Pattern Recognition
- Feilong Tang, Zhongxing Xu, Qiming Huang, Jinfeng Wang
DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation. 343-356 - Mingkun Zhang, Zhijun Xu, Qiuxia Yang, Dongyu Zhang:
MS UX-Net: A Multi-scale Depth-Wise Convolution Network for Medical Image Segmentation. 357-368 - Jie Zhong, Xiaotong Tu, Yue Huang, Xinghao Ding:
AnoCSR-A Convolutional Sparse Reconstructive Noise-Robust Framework for Industrial Anomaly Detection. 369-380 - Zhaonian Jia, Yi Hong, Tiantian Ma, Zihang Ren, Shuang Shi, Alin Hou:
Brain Tumor Image Segmentation Based on Global-Local Dual-Branch Feature Fusion. 381-393 - Jilong Chen, Junlong Cheng, Lei Jiang, Pengyu Yin, Guoan Wang, Min Zhu:
PRFNet: Progressive Region Focusing Network for Polyp Segmentation. 394-406 - Na Zhang, Juan Liu, Meng Wu:
Pyramid Shape-Aware Semi-supervised Learning for Thyroid Nodules Segmentation in Ultrasound Images. 407-418 - Jiaming Liang
AgileNet: A Rapid and Efficient Breast Lesion Segmentation Method for Medical Image Analysis. 419-430 - Shiting He, Yuzhu Ji, Yiqun Zhang, An Zeng, Dan Pan, Jing Lin, Xiaobo Zhang:
CFNet: A Coarse-to-Fine Framework for Coronary Artery Segmentation. 431-442 - Yaowei Feng, Shijie Zhou, Yaoxing Wang, Zhendong Li, Hao Liu:
Edge-Prior Contrastive Transformer for Optic Cup and Optic Disc Segmentation. 443-455 - Ying Wang, Kanqi Wang, Xiaowei Lu, Yang Zhao, Gang Liu:
BGBF-Net: Boundary-Guided Buffer Feedback Network for Liver Tumor Segmentation. 456-467 - Zhiyuan Liu, Mingxian Yang, Hao Qi, Ming Wu, Kaiyun Zhang, Song Zheng, Jianhui Chen, Yinran Chen, Xiongbiao Luo:
MixU-Net: Hybrid CNN-MLP Networks for Urinary Collecting System Segmentation. 468-479 - Wenjing Jiang, Wenkang Fan, Jianhua Chen, Hong Shi, Xiongbiao Luo:
Self-supervised Cascade Training for Monocular Endoscopic Dense Depth Recovery. 480-491 - Wei Zhou, Jianhang Ji, Wei Cui, Yugen Yi
Pseudo-Label Clustering-Driven Dual-Level Contrast Learning Based Source-Free Domain Adaptation for Fundus Image Segmentation. 492-503 - Chenyu Cai, Jianjun He, Manlin Zhang, Yanxu Hu, Qiong Li, Andy J. Ma:
Patch Shuffle and Pixel Contrast: Dual Consistency Learning for Semi-supervised Lung Tumor Segmentation. 504-516 - Rongquan Wang, Huiwei Wang, Yan Hu, Lin Wei, Huimin Ma:
Multi-source Information Fusion for Depression Detection. 517-528
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