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ORCID3rd PRCV 2020: Nanjing, China - Part III
- Yuxin Peng, Qingshan Liu, Huchuan Lu, Zhenan Sun, Chenglin Liu, Xilin Chen, Hongbin Zha, Jian Yang:
Pattern Recognition and Computer Vision - Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, Proceedings, Part III. Lecture Notes in Computer Science 12307, Springer 2020, ISBN 978-3-030-60635-0
Machine Learning
- Chenyou Fan, Ping Liu:
Federated Generative Adversarial Learning. 3-15 - Ben Xie, Xiaofu Wu, Suofei Zhang, Shiliang Zhao, Ming Li:
Learning Diverse Features with Part-Level Resolution for Person Re-identification. 16-28 - Xiaofu Wu, Lei Cheng, Suofei Zhang:
Open Set Domain Adaptation with Entropy Minimization. 29-41 - Caizhen He
, Biao Yang, Lanping Chen, Guocheng Yan:
An Adversarial Learned Trajectory Predictor with Knowledge-Rich Latent Variables. 42-53 - Mingyuan Pan, Huihui Song, Junxia Li, Kaihua Zhang, Qingshan Liu:
Top-Down Fusing Multi-level Contextual Features for Salient Object Detection. 54-65 - Shuyang Feng, Na Zhang, Cairong Zhao:
Path Aggregation and Dual Supervision Network for Scene Text Detection. 66-77 - Haodi Wang, Libin Jiao, Rongfang Bie, Hao Wu:
Semantic Inpainting with Multi-dimensional Adversarial Network and Wasserstein Distance. 78-88 - Ruixue Tang, Chao Ma:
Interpretable Neural Computation for Real-World Compositional Visual Question Answering. 89-101 - Xinnan Ding, Ying Tian, Chenhui Wang, Yilong Li, Haodong Yang, Kejun Wang:
Attention-Based Network for Semantic Image Segmentation via Adversarial Learning. 102-114 - Shengxiang Qi, Jiarong Yang:
Efficient Single Shot Object Detector Towards More Accurate and Faster Prediction. 115-124 - Jianian Li, Yanwei Yu, Yunhong Lu, Peng Song:
Student Performance Prediction Based on Multi-view Network Embedding. 125-136 - Tianyu Li, Xinxiao Wu:
Hierarchical Matching and Reasoning for Action Localization via Language Query. 137-148 - Guowan Shao, Fanmao Liu, Chunjiang Peng:
Semi-supervised Uncertain Linear Discriminant Analysis. 149-160 - Mengqing Luo, Hui Yan:
Adaptive Attributed Network Embedding for Community Detection. 161-172 - Guanglun Zhang, Lu Yang:
Single-View 3D Shape Reconstruction with Learned Gradient Descent. 173-184 - Aihong Yuan, Xiaoyu Gao, Mengbo You, Dongjian He:
Joint Self-expression with Adaptive Graph for Unsupervised Feature Selection. 185-196 - Xiaobin Hong, Tong Zhang, Zhen Cui, Chunyan Xu, Liangfang Zhang, Jian Yang:
Fast Hyper-walk Gridded Convolution on Graph. 197-208 - Liang Wang, Changshuang Zhao, Ling Shao, Yihong Wu:
UDenseNet: A Universal Dense Convolutional Network for Image Recognition. 209-221 - Wenhao Li, Nong Sang:
End-to-End Blurry Template Matching Method Based on Siamese Networks. 222-233 - Yang Li, Jiabao Wang, Zhuang Miao, Jixiao Wang, Rui Zhang:
Training Wide Residual Hashing from Scratch. 234-248 - Yan Qu, Weihong Deng, Jiani Hu:
H-AT: Hybrid Attention Transfer for Knowledge Distillation. 249-260 - Zhening Xing, Jinghuan Wen, Huimin Ma:
Cross-Domain Disentangle Network for Image Manipulation. 261-272 - Wei Wang, Zhijie Wen, Liyan Ma, Shihui Ying:
Multi-metric Joint Discrimination Network for Few-Shot Classification. 273-285 - Zhenyu Xie, Jianhuang Lai, Xiaohua Xie:
LG-VTON: Fashion Landmark Meets Image-Based Virtual Try-On. 286-297 - Xiaodong Guo, Yang Weng:
Deep Dependency Network for Multi-label Text Classification. 298-309 - Dandan Li, Yuan Zhou:
Soft-Root-Sign: A New Bounded Neural Activation Function. 310-319 - Fangyu Wang, Zhenyu Wang, Xuemei Xie, Guangming Shi:
A Multi-level Equilibrium Clustering Approach for Unsupervised Person Re-identification. 320-331 - Qiannan Wang, Zhaoyan Zhu, Xuefeng Liang, Huiwen Shi, Pu Cao:
Deep Relevance Feature Clustering for Discovering Visual Representation of Tourism Destination. 332-341 - Qi Cheng, Yingjie Wu, Fei Chen, Yilong Guo:
Balanced Loss for Accurate Object Detection. 342-354 - Haosheng Su, Zhihui Lai, Ning Liu, Jun Wan:
Nuclear-Norm-Based Jointly Sparse Regression for Two-Dimensional Image Regression. 355-368 - Abdelhafid Dakhia, Tiantian Wang, Huchuan Lu:
Dynamically-Passed Contextual Information Network for Saliency Detection. 369-381 - HuiHui Yue, Jichang Guo, Xiangjun Yin:
MS-DRDNet: Optimization-Inspired Deep Compressive Sensing Network for MRI. 382-394 - Desheng Li, Wenjing Wang, Yuwu Lu:
Canonical Correlation Cross-Domain Alignment for Unsupervised Domain Adaptation. 395-406 - Miao-Miao Lv, Si-Bao Chen, Bin Luo:
LSAM: Local Spatial Attention Module. 407-418 - Jue Wang, Fanfan Ji, Xiao-Tong Yuan:
Pruning Deep Convolutional Neural Networks via Gradient Support Pursuit. 419-432 - Chaochen Wang, Wenzhong Wang, Chenglong Li, Jin Tang:
Synthesizing Large-Scale Datasets for License Plate Detection and Recognition in the Wild. 433-445 - Shou-Jiu Xiong, Sibao Chen, Chris H. Q. Ding, Bin Luo:
Large-Scale Network Representation Learning Based on Improved Louvain Algorithm and Deep Autoencoder. 446-459 - Xin Sun, Xiaohao Xie, Yingjie Zhang, Jiaming Cui:
Clinical Pathway Optimal Scheduling Based on Hybrid Intelligent Optimization Algorithm. 460-472 - Suman Xia, Cheng Cheng, Haoyuan Wang, Xuguang Wang:
Gradient Analysis of Loss Function Based on System Balance. 473-484 - Runze Ma, Shugong Xu:
TeeRNN: A Three-Way RNN Through Both Time and Feature for Speech Separation. 485-494
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