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ORCID7th PRCV 2024: Urumqi, China - Part XV
- Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XV. Lecture Notes in Computer Science 15045, Springer 2025, ISBN 978-981-97-8498-1
Medical lmage Processing and Analysis II
- Zhaoying Li, Zhaohu Xing, Hongying Liu, Lei Zhu, Liang Wan:
Anchored Supervised Contrastive Learning for Long-Tailed Medical Image Regression. 3-18 - Qiye Lin, Jiaqi Zhao, Ruiwen Fan, Xuezhong Zhou, Jianan Xia:
Dynamic Feature Fusion Based on Consistency and Complementarity of Brain Atlases. 19-33 - Haiyu Ma, Maihemuti Maimaiti:
FUF-TransUNet: A Transformer-Based U-Net with Fully Utilize of Features for Liver and Liver-Tumor Segmentation in CT Images. 34-47 - Jiarui Liang, Rui Wang, Songhui Rao, Feng Xu, Jie Xiang, Bin Wang, Tianyi Yan:
Dual-View Dual-Boundary Dual U-Nets for Multiscale Segmentation of Oral CBCT Images. 48-62 - Xiang Dong, Hai Xie, Li Li, Bao Yang, Tianfu Wang, Baiying Lei:
A Novel Diffusion Model with Wavelet Transform for Optic Disc and Cup Segmentation in Fundus Images. 63-76 - Yuzi Yan, Keyi Shan, Wan Li:
STCTb: A Spatio-Temporal Collaborative Transformer Block for Brain Diseases Classification Using fMRI Time Series. 77-90 - Qian Tang, Qikui Zhu, Yongchao Xu, Bo Du:
A Generalized Contrast-Adjustment Guided Growth Method for Medical Image Segmentation. 91-106 - Jiajia Chen, Xuejun Zhang, Jie Gui, Xiuquan Du, Wen Sha:
MDNet: Morphology-Driven Weakly Supervised Polyp Detection. 107-120 - Deqin Zheng, Haiqi Zhu, Ruichen Gao, Chenyue Song, Wei Zhang, Feng Jiang:
MMR-Sleep: A Multi-Channel and Multi-Receptive Field Sleep Stage Recognition Model. 121-134 - Zeyun Zhao, Jianzhe Gao, Zhiming Luo, Shaozi Li:
CPNet: Cross Prototype Network for Few-Shot Medical Image Segmentation. 135-149 - Yiyi Wang, Jia Su, Guoxi Gan, Shenmeng Zhang:
SBC-UNet: A Network Based on Improved Hourglass Attention Mechanism and U-Net for Medical Image Segmentation. 150-164 - Yu Chen, Jiahua Wu, Da-Han Wang, Xinxin Zhang, Shunzhi Zhu:
Bridge the Gap of Semantic Context: A Boundary-Guided Context Fusion UNet for Medical Image Segmentation. 165-179 - Chenzhong Wang, Xun Gong, Weiji Kong, Hong Zhou, Jiao Li:
Bilinear Fine-grained Classification of Ultrasound Images Integrated with Interpretable Radiomics. 180-194 - Xuejun Zhang, Jiajia Chen, Jie Gui, Xiuquan Du, Wen Sha:
GCNet: Global Context-Guided Uncertainty Boundary for Polyp Segmentation. 195-209 - Jiaming Liang
, Mingdu Zhang, Caiyan Tan, Teng Huang, Xi Zhang, Zheng Zhang, Shegan Gao, Qian Sheng, Yan Pang:
Comprehensive Transformer Integration Network (CTIN): Advancing Endoscopic Disease Segmentation with Hybrid Transformer Architecture. 210-224 - Yunhao Li, Caiyan Tan, Mingdu Zhang, Xi Zhang, Teng Huang, Xiaoqing Pei, Yan Pang:
IPM: An Intelligent Component for 3D Brain Tumor Segmentation Integrating Semantic Extractor and Pixel Refiner. 225-240 - Miao Wang, Zechen Zheng, Chao Fan, Congqian Wang, Xuelei He, Xiaowei He:
Edge-Net: A Self-supervised Medical Image Segmentation Model Based on Edge Attention. 241-254 - Kanwei Wang, Hao Liu, Yuexin Luo, Jiuzhen Liang:
Fundus Image Disease Diagnosis and Quality Assessment Based on Dual-Task Collaborative Optimization. 255-269 - Feifei Jin, Cheng Zhao, Zhuo Xiang, Xunyi Chen, Yu Zhang, Shumin Fan, Luyao Zhou, Weiling Chen, Tianfu Wang, Baiying Lei:
Multi-modality Correlation Learning Network for Pediatric Ventricular Septal Defects Identification. 270-286 - Jie Gui, Wen Sha, Xiuquan Du:
MFIS-Net: A Deep Learning Framework for Left Atrial Segmentation. 287-300 - Huadeng Wang, Lingqi Zeng, Jiejiang Yu, Bingbing Li, Xipeng Pan, Rushi Lan, Xiaonan Luo:
Semi-supervised Gland Segmentation via Label Purification and Reliable Pixel Learning. 301-315
Biometric Recognition
- Yuye Dong, Libo Zhao, Xiongfei Li, Xiaoli Zhang:
DFANet: A Dual-Stream Deep Feature Aware Network for Multi-focus Image Fusion. 319-333 - Yuzhuo Shen, Fei Yan, Lan Liu, Siyu Li, Yunqing Liu:
MST-Gait: Application of Multi-scale Temporal Modeling to Gait Recognition. 334-348 - Zongming Peng, Tie Liu, Yangqianqian Chen, Yue Yang, Keren Fu, Fan Pan, Qijun Zhao:
Identity-Preserving Animal Image Generation for Animal Individual Identification. 349-362 - Chengsheng Yuan, Wenqian Qiu, Zhili Zhou, Xinting Li, Xianyi Chen:
FIL-FLD: Few-Shot Incremental Learning with EMD Metric for High Generalization Fingerprint Liveness Detection. 363-376 - Guoqing Zhang, Tong Jin, Tianqi Liu:
Text Based Unsupervised Domain Generalization Person Re-identification. 377-391 - Yuanhao Yue, Yunhe Wang, Laixiang Shi, Zhongyuan Wang, Qin Zou:
SF-Gait: Two-Stage Temporal Compression Network for Learning Gait Micro-Motions and Cycle Patterns. 392-405 - Shuang Ran, Wei Zhong, Fei Hu, Long Ye, Qin Zhang:
Coarse-to-Fine Domain Adaptation for Cross-Subject EEG Emotion Recognition with Contrastive Learning. 406-419 - Yu Zheng, Jiahui Wang, Jiuyao Jing, Chunlei Peng:
Face Anti-spoofing Based on Multi-view Anomaly Detection. 420-434 - Xirali Ablat, Qixiang Li, Nurbiya Yadikar, Kurban Ubul:
Online Signature Verification Based on Recurrent Attentional Time-Delay Neural Networks. 435-450 - Xinbo Lai, Yimin Xue, Tayir Tursun, Nurbiya Yadikar, Kurban Ubul:
Multimodal Finger Recognition Based on Feature Fusion Attention for Fingerprints, Finger-Veins, and Finger-Knuckle-Prints. 451-463 - Pengcheng Jia, Guannan Dong, Jiahao Wang, Yue Zhang, Aichun Zhu:
Hierarchical Discrepancy-Aware Interaction Network for Face Forgery Detection. 464-478 - Qiaoqiao Jin, Rui Shi, Yishun Dou, Bingbing Ni:
AU-vMAE: Knowledge-Guide Action Units Detection via Video Masked Autoencoder. 479-493 - Jikai Zhang, Mengyu Jia, Yihao He, Dongliang Guo:
Transformer-Based Multimodal Spatial-Temporal Fusion for Gait Recognition. 494-507 - Lingyu Qiu, Ke Jiang, Sinan Liu, Xiaoyang Tan:
Multi-level Distributional Discrepancy Enhancement for Cross Domain Face Forgery Detection. 508-522 - Yue Liu, Guizhen Chen, Yushan Chen, Guixia Fu, Guofeng Zou:
Unsupervised Person Re-ID Based on Nonlinear Asymmetric Metric Learning. 523-536 - Runan Yin, Yutong Liu, Shenglan Xie, Shuchang Liu:
FR-Watermarking: A Fusion Framework for Face-Based Digital Watermarking. 537-550
Structural Pattern Recognition
- Hongchang Min, Yihong Tang, Qiankun Li, Zengfu Wang:
Enhancing Semi-Dense Feature Matching Through Probabilistic Modeling of Cascaded Supervision and Consistency. 553-566 - Zhe Cao, Shuo Yang, Yumeng Liu, Xiaofeng Xu, Hongbin Pei, Yan Huang, Yushu Yu, Ruiheng Zhang:
Concentrating Estimation Attention: Human Prior Constrained Methods for Robust Classification. 567-580
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