Requirements for reading papers: The reading time for each paper is 10 minutes (including questioning sessions)
Oral Session 1:3D Computer Vision & Pose Estimation
时间 |
报告人 |
报告题目 |
14:10-14:20 |
Wang, Rong*; Zha, Wenzhong; Meng, Xiangrui; Meng, Fanle; Wu, Yuhang; Ge, Jianjun; Gu, Dongbing |
Semantic Ground Plane Constraint in Visual SLAM for Indoor Scenes |
14:20-14:30 |
Liu, Qing*; Cheng, keyang; wu, bin |
Person Search via Anchor-free Detection and Part-based Group Feature Similarity Estimation |
14:30-14:40 |
Zhao, yifan*; Xie, Jin; Qian, Jianjun; Yang, Jian Yang |
PUI-Net: A Point Cloud Upsampling and Inpainting Network |
14:40-14:50 |
Du, Shuncheng*; Wang, Yigang; Wu, Zizhao |
Multi-Human Parsing with Pose and Boundary Guidance |
14:50-15:00 |
Lin, Shuoyan; Tang, Jianxiong; Feng, Zhanxiang; Lai, Jian-Huang* |
Deep Face Recognition Based on Penalty Cosface |
Oral Session 2:Pattern Recognition and Application
时间 |
报告人 |
报告题目 |
14:10-14:20 |
Li, Tianyu; Wu, Xinxiao* |
Hierarchical Matching and Reasoning for Action Localization via Language Query |
14:20-14:30 |
Shao, Guowan*; Liu, Fanmao; Peng, Chunjiang |
Semi-supervised Uncertain Linear Discriminant Analysis |
14:30-14:40 |
Li, Keyu*; Wang, Nannan; Gao, Xinbo |
Feature Space based Loss for Face Photo-Sketch Synthesis |
14:40-14:50 |
Yan, Kangming; Zhou, Yuan* |
Underwater Image Processing by an Adversarial Network with Feedback Control |
14:50-15:00 |
Bu, Yuanyang*; zhao, yongqiang; Chan, Jonathan Cheung-Wai |
Hyperspectral Image Super-resolution via Self-projected Smooth Prior |
Oral Session 3:Low-level Vision and Image Processing
时间 |
报告人 |
报告题目 |
14:10-14:20 |
Yang, Yang; Guo, Xiaojie* |
Generative Landmark Guided Face Inpainting |
14:20-14:30 |
Yang, Yunchu; Wang, Xiumei*; Gao, Xinbo; Hui, Zheng |
Lightweight Image Super-Resolution with Local Attention Enhancement |
14:30-14:40 |
Xin, Jingwei; Jiang, Xinrui; Wang, Nannan*; Li, Jie; Gao, Xinbo |
Image Super-Resolution via Deep Feature Recalibration Network |
14:40-14:50 |
Zhao, Liling*; Sun, Quansen |
Image Super-Resolution Based on Non-Local Convolutional Neural Network |
14:50-15:00 |
He, Renjie*; Yang , Jia Qi; Guo, Xintao; Shi, Zhongke |
Variational Regularized Single Image Dehazing |
Oral Session 4:Motion and Tracking
时间 |
报告人 |
报告题目 |
14:10-14:20 |
Yang, Biao; He, CaiZhen* |
An Adversarial Learned Trajectory Predictor with Knowledge-rich Latent Variables |
14:20-14:30 |
Zhou, Zongwei *; Li, Yangxi; Gao, Jin; Xing, Junliang; Li , Liang; Hu, Weiming |
Anchor-Free One-Stage Online Multi-Object Tracking |
14:30-14:40 |
Bai, Yan*; Huang, Weiquan; Wang, Yin |
Intra-Camera Supervised Person Re-ID By Tracklet Level Classifier |
14:40-14:50 |
Chen, Kunfeng; Pan, Zhisong*; Wang, Jiabao; Jiao, Shanshan; Zeng, Zhicheng; Miao, Zhuang |
Joint Feature Learning Network for Visible-Infrared Person Re-Identification |
14:50-15:00 |
Sun, mingjun; Yang, Hua*; Zhai, Guangtao |
WEAKLY SUPERVISED PEDESTRIAN ATTRIBUTE RECOGNITION WITH ATTENTION IN LATENT SPACE |
Oral Session 5:Object Detection and Recognition
时间 |
报告人 |
报告题目 |
14:10-14:20 |
Tan, Zhenxiong*; Hui, Tianrui; Chen , Jinyu; liu, si |
Multi-Granularity Multimodal Feature Interaction for Referring Image Segmentation |
14:20-14:30 |
Zheng, Shaofei; Tang, Bangjie; Pan, Huadong*; Zhang, Xingming; Yin, Jun |
Grouping and Recurrent Feature Encoding Based Multi-task Learning for Pedestrian Attribute Recognition |
14:30-14:40 |
Tao, Yu; HU, Jian-Fang*; ZHENG, WEI-SHI |
Aggregating Spatio-temporal Context for Video Object Segmentation |
14:40-14:50 |
Jia, Qifei; Wei, Shikui*; Yufeng, Zhao |
R-PFN: Towards Precise Object Detection by Recurrent Pyramidal Feature Fusion |
14:50-15:00 |
Zhang, Mingyue*; Huan, Zhaoxin; Shang, Lin |
Micro-Expression Recognition Using Micro-Variation Boosted Heat Areas |
Oral Session 6:Neural Network and Deep Learning
时间 |
报告人 |
报告题目 |
14:10-14:20 |
Luo, Mengqing; Yan, Hui* |
Adaptive Attributed Network Embedding for Community Detection |
14:20-14:30 |
Liu, Xiaona; Zhao, Yang*; Chen, Yuan; Jia, Wei; Wang, Ronggang; Liu, Xiaoping |
Estimated Exposure Guided Reconstruction Model for Low-Light Image Enhancement |
14:30-14:40 |
Xing, Zhening; Wen, Jinghuan; Ma, Huimin* |
Cross-Domain Disentangle Network |
14:40-14:50 |
Xiong, Shou-Jiu; Chen, Si-Bao*; Ding, Chris; Luo, Bin |
Large-scale Network Representation Learning Based on Improved Louvain Algorithm and Deep Autoencoder |
14:50-15:00 |
Le, Geng*; Li, Panming; Zhu, Weifang; Chen, Xinjian |
M2E-Net: Multiscale Morphological Enhancement Network for Retinal Vessel Segmentation |