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ORCID5th PRCV 2022: Shenzhen, China - Part II
- Shiqi Yu
, Zhaoxiang Zhang, Pong C. Yuen, Junwei Han, Tieniu Tan, Yike Guo, Jianhuang Lai, Jianguo Zhang:
Pattern Recognition and Computer Vision - 5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4-7, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13535, Springer 2022, ISBN 978-3-031-18909-8
Biomedical Image Processing and Analysis
- Yajing Li, Junhua Li, Hailan Shen, Zailiang Chen:
ED-AnoNet: Elastic Distortion-Based Unsupervised Network for OCT Image Anomaly Detection. 3-15 - Shu Tang, Junlin Qiu, Xianzhong Xie, Haiheng Ran, Guoli Zhang:
BiDFNet: Bi-decoder and Feedback Network for Automatic Polyp Segmentation with Vision Transformers. 16-27 - Chao Cai, Xue Xia, Yuming Fang:
FundusGAN: A One-Stage Single Input GAN for Fundus Synthesis. 28-40 - Bo Li, Xinge You, Qinmu Peng, Jing Wang, Chuanwu Yang:
DIT-NET: Joint Deformable Network and Intra-class Transfer GAN for Cross-domain 3D Neonatal Brain MRI Segmentation. 41-53 - Ying Xing, Yu Guan, Bin Yang, Jingze Liu:
Classification of sMRI Images for Alzheimer's Disease by Using Neural Networks. 54-66 - Yuanyuan Tan, Jun Lyu:
Semi-supervised Distillation Learning Based on Swin Transformer for MRI Reconstruction. 67-76 - Zhen Qiu, Yifan Zhang, Fei Li, Xiulan Zhang, Yanwu Xu, Mingkui Tan:
Multi-scale Multi-target Domain Adaptation for Angle Closure Classification. 77-88 - Xiangyu Huang, Junjie Deng, Xi Wang, Peiyun Zhuang, Lianfen Huang, Caidan Zhao:
Automatic Glottis Segmentation Method Based on Lightweight U-net. 89-100 - Zining Chen, Huifang Yang, Mengqi Gao, Xiao Hu, Yunpeng Li, Lin Wang:
Decouple U-Net: A Method for the Segmentation and Counting of Macrophages in Whole Slide Imaging. 101-112 - Xujin Li, Shuang Qiu, Wei Wei, Huiguang He:
A Zero-Training Method for RSVP-Based Brain Computer Interface. 113-125 - Yongxian Fan, Hao Gong:
An Improved Tensor Network for Image Classification in Histopathology. 126-137 - Jiaming Li, Chaowei Fang, Guanbin Li:
Gradient-Rebalanced Uncertainty Minimization for Cross-Site Adaptation of Medical Image Segmentation. 138-151 - Xiaolin Wang, Ziyang Li, Zi Li, Yun Peng, Di Hu, Huanyu Luo, Huanjie Li, Zhongxuan Luo, Xin Fan:
DeepEnReg: Joint Enhancement and Affine Registration for Low-contrast Medical Images. 152-163 - Yuanhao Guo, Yaoru Luo, Wenjing Li, Ge Yang:
Fluorescence Microscopy Images Segmentation Based on Prototypical Networks with a Few Annotations. 164-177 - Yan Hu, Zhongxi Qiu, Dan Zeng, Li Jiang, Chen Lin, Jiang Liu:
SuperVessel: Segmenting High-Resolution Vessel from Low-Resolution Retinal Image. 178-190 - Shengcheng Ye, Xinyu Xie, Dongping Xiong, Lijun Ouyang, Xiaozhi Zhang:
Cascade Multiscale Swin-Conv Network for Fast MRI Reconstruction. 191-203 - Renao Yan, Qiming He, Yiqing Liu, Jizhou Gou, Qiehe Sun, Guangde Zhou, Yonghong He, Tian Guan:
DEST: Deep Enhanced Swin Transformer Toward Better Scoring for NAFLD. 204-214 - Jing Wang, Bicao Li, Xuwei Guo, Jie Huang, Mengxing Song, Miaomiao Wei:
CTCNet: A Bi-directional Cascaded Segmentation Network Combining Transformers with CNNs for Skin Lesions. 215-226 - Chenxi Li, Yitong Luo, Jing Yang, Hong Fan:
MR Image Denoising Based on Improved Multipath Matching Pursuit Algorithm. 227-239 - Yuejie Lin, En-tao Liu, Tian Mou:
Statistical Characteristics of 3-D PET Imaging: A Comparison Between Conventional and Total-Body PET Scanners. 240-250 - Yuying Ge, Xiao Ma, Qiang Chen, Zexuan Ji:
Unsupervised Medical Image Registration Based on Multi-scale Cascade Network. 251-261 - Zunjie Xiao, Xiaoqing Zhang, Qingyang Sun, Zhuofei Wei, Gelei Xu, Jin Yuan, Risa Higashita, Jiang Liu:
A Novel Local-Global Spatial Attention Network for Cortical Cataract Classification in AS-OCT. 262-273 - Ao Chen, Xiao Ma, Qiang Chen, Zexuan Ji:
PRGAN: A Progressive Refined GAN for Lesion Localization and Segmentation on High-Resolution Retinal Fundus Photography. 274-285 - Yongcheng Zong, Changhong Jing, Qiankun Zuo:
Multiscale Autoencoder with Structural-Functional Attention Network for Alzheimer's Disease Prediction. 286-297 - Yifan Yang, Xibin Jia, Luo Wang:
Robust Liver Segmentation Using Boundary Preserving Dual Attention Network. 298-310 - Jiaxin Tan, Chuangbo Jiang, Laquan Li, Haoyuan Li, Weisheng Li, Shenhai Zheng:
msFormer: Adaptive Multi-Modality 3D Transformer for Medical Image Segmentation. 311-322 - Linhu Liu, Jiang Tian, Zhongchao Shi, Jianping Fan:
Semi-supervised Medical Image Segmentation with Semantic Distance Distribution Consistency Learning. 323-335 - Bing Pan, Zexuan Ji, Qiang Chen:
MultiGAN: Multi-domain Image Translation from OCT to OCTA. 336-347 - Rui Wang, Yangsong Zhang, Jiangtao Yang:
TransPND: A Transformer Based Pulmonary Nodule Diagnosis Method on CT Image. 348-360 - Heng Kong, Junren Pan, Yanyan Shen, Shuqiang Wang:
Adversarial Learning Based Structural Brain-Network Generative Model for Analyzing Mild Cognitive Impairment. 361-375 - Xiaohan Yuan, Yinsu Zhu:
A 2.5D Coarse-to-Fine Framework for 3D Cardiac CT View Planning. 376-387 - Erna Chen, Zemin Cai, Jian-Huang Lai:
Weakly Supervised Semantic Segmentation of Echocardiography Videos via Multi-level Features Selection. 388-400 - Xiaoqiang Jin, Hongwei Li, Ruirui Li:
Dformer: Dual-Path Transformers for Geometric and Appearance Features Reasoning in Diabetic Retinopathy Grading. 401-416 - Kaichen Nie, Yuru Pei, Diya Sun, Tianmin Xu:
Deep Supervoxel Mapping Learning for Dense Correspondence of Cone-Beam Computed Tomography. 417-427 - Tianjun Huang, Jianguo Zhang:
Manifold-Driven and Feature Replay Lifelong Representation Learning on Person ReID. 428-440 - Ming Gong, Wei Zhong, Jiayu Hu, Long Ye, Qin Zhang:
Multi-source Information-Shared Domain Adaptation for EEG Emotion Recognition. 441-453 - Bixiao Ling, Pengfei Zhang, Jianjun Qian, Jian Yang:
Spatial-Channel Mixed Attention Based Network for Remote Heart Rate Estimation. 454-466 - Ziyun Ye, Zihao Zhao, Mengna Wen, Jinfeng Yang:
Weighted Graph Based Feature Representation for Finger-Vein Recognition. 467-478 - Jiajiong Cao, Yufan Liu, Jingting Ding, Liang Li:
Self-supervised Face Anti-spoofing via Anti-contrastive Learning. 479-491 - Bo Peng, Siwei Lyu, Wei Wang, Jing Dong:
Counterfactual Image Enhancement for Explanation of Face Swap Deepfakes. 492-508 - Yanzuo Lu, Manlin Zhang, Yiqi Lin, Andy J. Ma, Xiaohua Xie, Jianhuang Lai:
Improving Pre-trained Masked Autoencoder via Locality Enhancement for Person Re-identification. 509-521 - Chuhao Zhou, Yuanrong Xu, Fanglin Chen, Guangming Lu:
Multi-modal Finger Feature Fusion Algorithms on Large-Scale Dataset. 522-536 - Lingyi Meng, Jinhui Zhang, Xikang Jiang, Wenyao Mu, Yili Wang, Lei Li, Lin Zhang:
MINIPI: A MultI-scale Neural Network Based Impulse Radio Ultra-Wideband Radar Indoor Personnel Identification Method. 537-548 - Kaijun Zhou, Wenjing Qi, Ziqiang Gui, Qi Zeng:
PSU-Net: Paired Spatial U-Net for Hand Segmentation with Complex Backgrounds. 549-563
Pattern Classification and Clustering
- Yeqi Wang, Cheng Li, Yusong Lin:
Human Knowledge-Guided and Task-Augmented Deep Learning for Glioma Grading. 567-575 - Zhiwei Pan, Zhihua Guo, Huiting Yang, Congquan Yan, Pengju Yang:
Learning to Cluster Faces with Mixed Face Quality. 576-587 - Zhehao Zhong, Shen Zhao, Ruixuan Wang:
Capturing Prior Knowledge in Soft Labels for Classification with Limited or Imbalanced Data. 588-600 - Man-Sheng Chen, Chang-Dong Wang, Dong Huang, Jian-Huang Lai:
Coupled Learning for Kernel Representation and Graph Tensor in Multi-view Subspace Clustering. 601-613 - Yipeng Chen, Xiaojuan Ban, Ke Xu:
Combating Noisy Labels via Contrastive Learning with Challenging Pairs. 614-625 - Yongxin Zhou, Jiale Chen, Xiong Zhang, Wenxiong Kang, Zeng Ming:
Semantic Center Guided Windows Attention Fusion Framework for Food Recognition. 626-638 - Guowei Yin, Yijie Wang, Yi Zhang, Sheng Huang:
Adversarial Bidirectional Feature Generation for Generalized Zero-Shot Learning Under Unreliable Semantics. 639-654 - Jiawei Lian, Da-Han Wang, Xia Du, Yun Wu, Shunzhi Zhu:
Exploiting Robust Memory Features for Unsupervised Reidentification. 655-667 - Yunqi Feng, Yang Liu, Xianlin Zhang, Xueming Li:
TIR: A Two-Stage Insect Recognition Method for Convolutional Neural Network. 668-680 - Qiliang Wei, Peng Fu, Peng Zhang, Tao Wang:
Discerning Coteaching: A Deep Framework for Automatic Identification of Noise Labels. 681-692 - Yi Yang, Yong Su, Simin An:
VDSSA: Ventral & Dorsal Sequential Self-attention AutoEncoder for Cognitive-Consistency Disentanglement. 693-705 - Shengda Luo, Jing Luo, Yue Chen, Sangin Kim, David Hui, Jianguo Zhang, Alex Leung, Roberto Bugiolacchi:
Bayesian Neural Networks with Covariate Shift Correction For Classification in γ-ray Astrophysics. 706-719
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