Requirements for oral papers: The total time for each paper is 12 mins (10mins presentation + 2mins Q&A)
Note: Please choose the right template according to the venue (The screen sizes of different venue are not the same)
Oral Session 1:Image Processing and Feature Extraction
Time |
Authors |
Title |
14:10-14:22 |
Fu, Xin; Wang, Wenzhong*; Tang, Jin |
Deep Double Center Hashing for Face Image Retrieval |
14:22-14:34 |
Lu, Haowei*; Lu, Yao; Li, Gongping; Sun, Yanbei; Wang, Shunzhou; Li, Yugang; Wang, Zijian |
Scale-aware Distillation Network for Lightweight Image Super-Resolution |
14:34-14:46 |
Xulin, Chen*; Dong, Li |
Interactive Attention Sampling Network for Clinical Skin Disease Image Classification |
14:46-14:58 |
Duan, Yutai*; Wang, Jianming |
Learning Key Actors and Their Interactions for Group Activity Recognition |
14:58-15:10 |
Wang, Yuanyuan; Ma, Ling*; Jian, Lihua ; Jiang, Huiqin |
Efficient and real-time particle detection via encoder-decoder network |
Oral Session 2:Vision Analysis and Pattern Classification
Time |
Authors |
Title |
14:10-14:22 |
Zhu, Ye*; Qi, Na; Guo, Yingchun; Li, Bin |
SEINet: Semantic-Edge Interaction Network for Image Manipulation Localization |
14:22-14:34 |
Lin, Huibin ; Wang, Shiping; Zhanghui, Liu; Xiao, Shunxin; Du, Shide; Guo, Wenzhong* |
FMixAugment for Semi-Supervised Learning with Consistency Regularization |
14:34-14:46 |
Zhang, Yukun; Piao, Yongri; Ji, Xinxin; Zhang, Miao* |
Dynamic Fusion Network For Light Field Depth Estimation |
14:46-14:58 |
jia, zhiwei*; Xu, Shugong; mu, shiyi; Tao, Yue; Cao, Shan; Chen, Zhiyong |
IFR: Iterative Fusion Based Recognizer For Low Quality Scene Text Recognition |
14:58-15:10 |
Xinhui, Zhao; Ma, Huimin*; wang, rongquan |
STA-GCN: Spatio-Temporal AU Graph Convolution Network for Facial Micro-Expression Recognition |
Oral Session 3:Object Detection and Biometrics Recognition
Time |
Authors |
Title |
14:10-14:22 |
Wang, Haoyu; Chang, Dongliang; Liu, Weidong; Xiao, Bo*; Ma, Zhanyu; Guo, Jun; Chang, Yaning |
Exploring Category-shared and Category-specific Features for Fine-Grained Image Classification |
14:22-14:34 |
Chu, Hongyu; Liao, KuiSheng; Shao, Yanhua*; Zhang, Xiaoqiang; Mei, Yanying; Wu, Yadong |
AO-AutoTrack: Anti-Occlusion Real-Time UAV Tracking Based on Spatio-temporal Context |
14:34-14:46 |
Song, Chen*; Cheng, Xu; Liu, Lihua; qiu, Li da |
ACFIM: Adaptively Cyclic Feature Information- interaction model for Object Detection |
14:46-14:58 |
Zhu, Jiajun*; Ma, Chao; Jia, Shuai; Xu, Shugong |
Contrastive Cycle Consistency Learning for Unsupervised Visual Tracking |
14:58-15:10 |
Wang, Lingpeng*; Hui, Le; Xie, Jin |
IFP: Facilitating 3D Object Tracking in Point Clouds with Image Semantics and Geometry |
Oral Session 4:Multimedia Analysis and Vision Applications
Time |
Authors |
Title |
14:10-14:22 |
He, Mu*; Xie, Jin; Yang, Jian |
Improving Unsupervised Learning of Monocular Depth and Ego-motion via Stereo Network |
14:22-14:34 |
Ding, Xinpeng; Wang, Nannan*; Li, Jie; Gao, Xinbo |
Weakly Supervised Temporal Action Localization with Segment-Level Labels |
14:34-14:46 |
Song, Lifei*; Shi, Yiwen; Xiao, Xinyu; Zhang, Chunxia; XIANG, SHIMING |
Relational Attention with Textual Enhanced Transformer For Image Captioning |
14:46-14:58 |
Zhang, Donglin*; Wu, Xiao-Jun; Yu, Jun |
Discrete Bidirectional Matrix Factorization Hashing for Zero-Shot Cross-Media Retrieval |
14:58-15:10 |
Yang, Ran; Jian, Meng; shi, ge*; Wu, Lifang; Xiang, Ye |
Attribute-level Interest Matching Network for Personalized Recommendation |
Oral Session 5:Machine Learning and Deep Learning
Time |
Authors |
Title |
14:10-14:22 |
li, panle*; He, Xiaohui; Song, Dingjun; Qiao, Mengjia; Cheng, Xijie; Li, Runchuan |
Improved Categorical Cross-Entropy Loss for Training Deep Neural Networks with Noisy Labels |
14:22-14:34 |
LEI, Fangyuan*; Huang, Jiahao |
Hypergraph Convolutional Network with Hybrid Higher-order Neighbors |
14:34-14:46 |
Zhang, Wu*; Zou, Junhua; Duan, Yexin; Zhou, Xingyu; Pan, Zhisong |
Learning Indistinguishable and Transferable Adversarial Examples |
14:46-14:58 |
Huang, Sheng; Zhang, Yunhe; Fu, Lele; Wang, Shiping* |
Enhanced Multi-view Matrix Factorization with Shared Representation |
Oral Session 6:New Advances in Visual Perception and Understanding
Time |
Authors |
Title |
14:10-14:22 |
Luo, Hanxiao; Li, Hui; Wu, Qingbo*; Li, Hongliang; Ngan, King Ngi; Meng, Fanman; Xu, LinFeng |
Few-shot Segmentation via Complementary Prototype Learning and Cascaded Refinement |
14:22-14:34 |
Sun, Bingfeng*; Zhang, Jian |
Invertible Image Compressive Sensing |
14:34-14:46 |
Wu, Tongtong; zhang, xu; Duan, Fuqing*; Chang, Liang |
Multi-Branch Graph Network for Learning Human-Object Interaction |
14:46-14:58 |
Chu, Huazhen; Ma, Huimin*; Liu, Haizhuang; wang, rongquan |
LiDAR-based symmetrical guidance for 3D Object Detection |
14:58-15:10 |
Guo, Zhenyu*; Zheng, Shuai; Liu, Zhizhe; yan, kun; Zhu, Zhenfeng |
CETransformer: Casual Effect Estimation via Transformer Based Representation Learning |