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ORCID8th PRCV 2025: Shanghai, China - Part II
- Josef Kittler, Hongkai Xiong
, Jian Yang, Xilin Chen, Jiwen Lu, Weiyao Lin, Jingyi Yu, Weishi Zheng:
Pattern Recognition and Computer Vision - 8th Chinese Conference, PRCV 2025, Shanghai, China, October 15-18, 2025, Proceedings, Part II. Lecture Notes in Computer Science 16273, Springer 2026, ISBN 978-981-95-5692-2
Neural Network and Deep Learning
- Ran Chen, Xiaoliang Hu, Zhen Cui, Luying Wu, Tong Zhang:
Diffusion Dynamic Model for Unsupervised Reinforcement Learning. 3-16 - Jiting Zhou, Yuxuan Liu:
Multi-dimensional Fusion Attention Network for Face Forgery Detection. 17-30 - Fuhu Wu, Changchao Li, Shun Zhang, Chunfeng Wang:
RMFNet: Recursive Interactive Multiscale Feature Fusion Network for Salient Object Detection. 31-46 - Yu Zhou, Dian Zheng, Xiao-Ming Wu, Weishi Zheng:
Deep Concept Forgetting in Text-to-Image Diffusion Models. 47-61 - Yanting Gao, Yepeng Liu, Junming Liu, Qi Zhang, Hongyun Zhang, Duoqian Miao, Cairong Zhao:
Boosting Adversarial Transferability via Commonality-Oriented Gradient Optimization. 62-76 - Tingwei Liu, Miao Zhang, Zhi Wang, Yongri Piao:
Hierarchical Scalable Receptive Fields for Efficient Neural Architecture Search in Salient Object Detection. 77-92 - Wenfei Li, Weiwei Zhou, Yizhang Liu, Shengjie Zhao:
TriVSS-Net: Visual, Spatial, and Semantic Fusion Transformer for Two-View Correspondence Learning. 93-107 - Zhengrong Xu, Wenkang Chen, Ganxin Ouyang, Ying Peng, Qiaoyun Liang, Ni Liao, Xuejun Zhang:
DDWFNet: A Multi-scale Tooth Segmentation Network with Dense Connection and Dynamic Wavelet Transform Fusion for CBCT Image. 108-122 - Guoqiang Wang, Yang Lu, Zhiyang Xia, Xing Wei, Lei Shi, Benhong Zhang:
Model Reconstruction Optimization and Scale Perturbation Update for ViTs Low-Bit Post-Training Quantization. 123-137 - Meng Xu, Tong Zhang, Fuyun Wang, Yi Lei, Xin Liu, Zhen Cui:
MPDS: A Movie Posters Dataset for Image Generation with Diffusion Model. 138-151 - Junjian Ren, Tian Wang, Aichun Zhu, Chuanyun Wang, Yutong Jiang, Nadia Bali, Hichem Snoussi:
Balance Orthogonal Projection for Prompt in Continual Learning. 152-166 - Lijun Zhou, Yunfei Liu, Junran Zhang:
Dynamic Activation Function of Spatial-Aware for Visual Recognition. 167-181 - Zheng Yao, Xuran Yao, Xianwei Zheng, Xutao Li:
TRHCN: A Topology-Based Region Hierarchical Convolutional Network for EEG Emotion Recognition. 182-195 - Yize Ma, Yongguo Ling, Gangzhu Lin:
VAMN: View-Invariant Adaptive Multi-granularity Network for Unsupervised Vessel Re-identification. 196-209 - Yijie Liu, Shanshan Yan, Hezhao Liu, Shihao Hou, Yang Lu:
Dual-Imbalance Mitigation in Semi-Supervised Federated Learning Through Candidate-Aware Prototype Aggregation. 210-224 - Zhifeng Xie, Shiyu Xia, Bolun Zhang, Xiaoming He, Mengtian Li:
SketchMaster: From Rough Lines to Photorealistic Scenes with Adaptive Guidance. 225-239 - Renyi Mao, Hao Wang, Peng Zheng, Ye Wang, Qingshan Xu, Rui Ma:
TaylorGrid: Towards Fast and High-Quality Implicit Field Learning via Direct Taylor-Based Grid Optimization. 240-255 - Silei Liu, Rong Yang, Yuxuan Liu, Kang Liu, Han Wang, Yuhan Sun, Shengyang Li:
SSCNet: Structure-Aware Segmentation Network for C.elegans in Scientific Experiments on China Space Station. 256-269 - Yi Gao, Shuo Chen, Yanlong Li, Zhenjie Jiang, Ruyu Liu, Jianhua Zhang, Mohammed Elmogy, Shengyong Chen:
Watermark Removal via Boundary-Aware Segmentation and Semantic-Guided Diffusion. 270-284 - Zitian Chen, Qingbing Sang:
Prompt-Guided Adaptation for Efficient Fine-Tuning of Diffusion Models in Food Image Generation. 285-298 - Hanming Wang, Yunlong Li, Zijun Wu, Huifen Wang, Yuan Zhang:
SASE: A Searching Architecture for Squeeze and Excitation Operations. 299-313 - Chengtong Zhang, Wangshu Yao, Xiaofeng Jiang, Yue Zhou, Shuxin Zhang:
Post-Training Quantization Based on Class Activation Map Calibration. 314-328 - Hao Du, Huaxiang Zhang, Bin Yin, Li Liu, Hengchang Wang:
Unsupervised Multi-level Semantic Fusion-Driven Hashing for Cross-Modal Retrieval. 329-344 - Xiaokang Shao, Tao Wu, Mengjin Liu, Zhaojun Liu, Junxian Duan, Aihua Zheng:
Text-Guided Noise Replacement Visual Prompt Learning for Vision-Language Models. 345-359 - Hongli Liu, Bin Zhao:
Dynamic Dual-Stream Feature Fusion for Semi-supervised Medical Image Segmentation. 360-374 - Zonghao Ding, Minghao Fu, Jianxin Wu:
Dual DTL: Double-Side Compact Transfer Networks for Efficient ViT Adaptation. 375-387 - Wenjie Zhang, Long Ma, Yi Li, Baolong Li, Mingliang Xu:
HM-Net: Hierarchical Attention-Weighted Multimodal Feature Fusion Network for Echo-Visual Depth Estimation. 388-402 - Junshuai Zheng, Bin Ge, Chenxing Xia, Qingling Yang, Xianjin Fang:
MFCL: Multi-feature Contrastive Learning for Deepfake Detection. 403-416 - Wenqiang Zhang, Zhou Ye, Xiaoqiang Liu, Jiaqi Wu, Zunlei Feng, Jie Lei:
Signature Feature Sequence for Model Reuse Detection. 417-430 - Rui Gao, Ping Wang, Jianping Gou, Lan Du, Weihua Ou:
Collaborative and Progressive Teacher-Assistant Knowledge Distillation. 431-444 - Nuo Chen, Shaoyu Wang, Ran Lu, Wenxuan Li, Zhongyuan Teng, Zhidong Qin:
IRQNet: Implicit Representation Querying Network for Semantic Segmentation. 445-459 - Feixiang Liu, Lin Li, Qiang Qiu, Yi Jin, Xiao Hu, Jiafeng Guo, Xueqi Cheng:
CacheNoise: Accomplishing More Denoising Steps with Less Noise. 460-474 - Hongming Zhu, Jipeng Zhang, Qin Liu, Qiulu Dai, Bowen Du:
ODCCMamba-Unet: A Mamba-Unet Based Model with Omnidirectional Divide-and-Conquer Scanning Mechanism for Remote Sensing Image Change Detection. 475-488 - Hongbing Duan, Qingbei Guo, Bo Yang:
CATFormer: Context Aggregation and Transmission Transformer. 489-503 - Luyao Jia, Yingchi Mao, Ji Lu, Zhenxiang Pan, Bingbing Nie, Zicheng Wang:
FEMINet: Real-Time RGB-D Semantic Segmentation via Feature Enhancement and Multi-level Interaction. 504-519 - Ziwei Hu, Wu He, Huicheng Zheng, Jiyuan Lin, Zihan Wu:
DIGL: Domain-Invariant Global-Local Feature Learning for Gaze Estimation. 520-534 - Xingyu Zhou, Haobo Jiang, Jian Yang:
Knowledge Distillation for 3D Registration by Locally and Globally Aligning Geometric Representations. 535-550
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