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ORCID7th PRCV 2024: Urumqi, China - Part II
- 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 II. Lecture Notes in Computer Science 15032, Springer 2025, ISBN 978-981-97-8489-9
Neural Network and Deep Learning I
- Tingwei Liu, Runyu Wang, Miao Zhang, Yongri Piao, Huchuan Lu:
Auto-USOD: Searching Topology for Underwater Salient Object Detection. 3-16 - Shuxiang Hou
, Yurong Qian, Jiaying Chen, Jigui Zhao, Hongyong Leng:
MBA-NER: Multi-Granularity Entity Boundary-Aware Contrastive Enhanced for Two-Stage Few-Shot Named Entity Recognition. 17-30 - Hao Guan, Jun Liu, Simiao Wang, Yunan Liu, Mingyu Lu:
Meta-Learning Based Knowledge Distillation for Domain Adaptive Nighttime Segmentation. 31-45 - Yanning Hou, Ke Xu, Junfa Li, Yanran Ruan, Jianfeng Qiu:
Enhancing Zero-Shot Anomaly Detection: CLIP-SAM Collaboration with Cascaded Prompts. 46-60 - Yeliang You, Bin Chen, Jia-Li Yin, Ximeng Liu, Wei Lin:
Towards Adversarial-Robust Class-Incremental Learning via Progressively Volume-Up Perturbation Generation. 61-75 - Shuhao Shi, Yan Li, Zihao Liu, Chen Chen, Jian Chen, Bin Yan:
Neighborhood Difference-Enhanced Graph Neural Network Based on Hypergraph for Social Bot Detection. 76-90 - Zhiming Wang, Lin Gu, Feng Lu:
SRMAE: Masked Image Modeling for Scale-Invariant Deep Representations. 91-104 - Qinghan Chen, Zhiyang Lu, Ming Cheng:
An Entropy-Based Pseudo-Label Mixup Method for Source-Free Domain Adaptation. 105-117 - Kaijiang Li, Yi Qin, Peisen Wang, Chunyi Guo, Junqi Wang, Ruiyang Jia, Wenfeng Jiang:
DAMS: Document Image Steganography with Dual Attention Multi-scale Encoder-Decoder Architecture. 118-131 - Chunpeng Wang, Chaoyi Shi, Yunan Liu, Zhiqiu Xia, Jian Li, Yongjin Xian, Bin Ma:
Dual-Task Cascaded for Proactive Deepfake Detection Using QPCET Watermarking. 132-147 - Rui Xu, Jie Chen, Yingsong Li:
XrGroup: Graph Convolutional Networks for Group-Aware Pedestrian Trajectory Prediction with Speed Information. 148-159 - Ke Cheng, Bingbing Song, Ping Wei, Wei Zhou, Chao Yi, Yunyun Dong:
Generative Steganography Based on Dual-Branch Flow. 160-173 - Wenmin Chen, Xiaowei Xu, Xiaodong Wang, Zewen Li, Yangming Chen:
Invisible Backdoor Attack Through Singular Value Decomposition. 174-188 - Zhengle Wang, Ruifeng Wang, Minjuan Wang, Tianyun Lai, Man Zhang:
Self-supervised Transformer-Based Pre-training Method with General Plant Infection Dataset. 189-202 - Jing Hu, Peng Zheng, Honghu Zhang, Xi Wu:
Spatio-temporal Perceiving Network Based Vision Transformer for 6-Hour Precipitation Prediction Using Multi-meteorological Factors. 203-217 - Yunfei Liu, Lijun Zhou, Junran Zhang:
Learning Local Spatial and Global Context Activation for Visual Recognition. 218-232 - Palidan Tuerxun, Jian Gu, Jiaying Chen, Xinhui Li, Yue Hu, Jin Liu, Yurong Qian:
A Novel Method for Autism Identification Based on Multi-atlas Features Fusion and Graph Neural Network. 233-246 - Chengyun Ma, Shengwei Tian, Long Yu:
CRFNet: A Medical Image Segmentation Method Using the Cross Attention Mechanism and Refined Feature Fusion Strategy. 247-260 - Panpan Jiao, Zhiqiang Tian, Zhang Chen, Xuejian Guo, Zhi Chen, Liang Dou, Shaoyi Du:
SCC-CAM: Weakly Supervised Segmentation on Brain Tumor MRI with Similarity Constraint and Causality. 261-275 - Zengbiao Yang, Yihua Tan:
Global Structural Consistency Set Transformer. 276-289 - Boyong Liu, Yunfei Yin:
IMO-Net: Integrated Memory Optimization Network for Video Instance Lane Detection. 290-303 - Haitao Zhang, Xufei Zhuang, Xudong Gao, Rui Mao, Qing-Dao-Er-Ji Ren:
Lightweight Facial Expression Recognition Based on Hybrid Multiscale and Multi-Head Collaborative Attention. 304-316 - Zhiqiang Dong, Yun Xiao, Jiashun Duan, Xuanhong Wang, Pengfei Xu, Xia Zheng:
Single Model Learns Multiple Styles of Chinese Calligraphy via Style Collection Mechanism. 317-331 - Enyi Wu, Qingxuan Shi, Kanglin Wang:
FusionNet for Interactive Image Segmentation. 332-346 - Jingsi Cao, Weibin Liu, Weiwei Xing:
Dynamic Spatial-Temporal Perception Graph Convolutional Networks for Traffic Flow Forecasting. 347-360 - Siyu Chen, Mingtao Pei:
Foreign Object Classification for Coal Conveyor Belts Based on Deep Learning. 361-375 - Yiming Dong, Zhouchen Lin:
Reducing Memory Footprint in Deep Network Training by Gradient Space Reutilization. 376-390 - Zhen Zhou, Qing Zhu, Yaonan Wang, Yang Mo, Lin Chen, Jianan Huang, Tianjian Jiang:
Interpretable Unsupervised Homography Estimation. 391-405 - Xiaojuan Ning, Qishuai Shi, Yuexuan Liu, Haiyan Jin, Yinghui Wang, Xiaopeng Zhang, Jianwei Guo:
DRC-NET: Density Reweighted Convolution Network for Edge Curve Extraction. 406-420 - Wei Song, Chengbing Liu, Mario Di Mauro, Antonio Liotta:
Unsupervised Underwater Image Enhancement Combining Imaging Restoration and Prompt Learning. 421-434 - Yongfeng Fu, Quan Liu, Xiongzhen Zhang, Huazhang Li, Lan Wu:
Generatice Adversarial Imitation Learning Algorithm Based on Improved Curiosity Module. 435-447 - Haowei Li, Dongyu Zhang:
Zero-Shot Blind Face Restoration Via Conditional Diffusion Sampling. 448-461 - Zheng Gu, Wenbin Li, Tianyu Ding, Zhengli Wang, Jing Huo, Kuihua Huang, Yang Gao:
Task-Aware Few-Shot Image Generation via Dynamic Local Distribution Estimation and Sampling. 462-476 - Tao He, Xuejun Liu, Zhuoya Xing, Xiaoyang Huang, Zhouyin Xu, Yitian Wang:
Adversarial Training and Contrastive Learning with Bidirectional Transformers for Sequence Recommendation. 477-489 - Jiahao Zhu, Zijian Jiang, Boyu Zhou, Jionglong Su, Jiaming Zhang, Zhihao Li:
Empathizing Before Generation: A Double-Layered Framework for Emotional Support LLM. 490-503
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