ARS-11: Machine Learning for Image and Video Classification I |
Interactive Q&A Time: Tuesday, 27 October, 15:30 - 15:55 |
Virtual Session: View on Virtual Platform |
Session Chair: Azeddine Beghdadi, L2TI, Universite Paris 13 |
ARS-11.1: NEURAL DISCRIMINANT ANALYSIS FOR FINE-GRAINED CLASSIFICATION |
Mai Lan Ha; University of Siegen |
Volker Blanz; University of Siegen |
ARS-11.2: TOWARDS MORE EFFICIENT AND EFFECTIVE INFERENCE: THE JOINT DECISION OF MULTI-PARTICIPANTS |
Hui Zhu; Institute of Computing Technology, Chinese Academy of Sciences |
Zhulin An; Institute of Computing Technology, Chinese Academy of Sciences |
Kaiqiang Xu; Institute of Computing Technology, Chinese Academy of Sciences |
Xiaolong Hu; Institute of Computing Technology, Chinese Academy of Sciences |
Yongjun Xu; Institute of Computing Technology, Chinese Academy of Sciences |
ARS-11.3: FPB: IMPROVING MULTI-SCALE FEATURE REPRESENTATION INSIDE CONVOLUTIONAL LAYER VIA FEATURE PYRAMID BLOCK |
Zheng Cao; Tsinghua University |
Kailai Zhang; Tsinghua University |
Ji Wu; Tsinghua University |
ARS-11.4: TRANSDUCTIVE PROTOTYPICAL NETWORK FOR FEW-SHOT CLASSIFICATION |
Xinyue Liu; Dalian University of Technology |
Pengxin Liu; Dalian University of Technology |
Linlin Zong; Dalian University of Technology |
ARS-11.5: CIRCULAR SHIFT: AN EFFECTIVE DATA AUGMENTATION METHOD FOR CONVOLUTIONAL NEURAL NETWORK ON IMAGE CLASSIFICATION |
Kailai Zhang; Tsinghua University |
Zheng Cao; Tsinghua University |
Ji Wu; Tsinghua University |
ARS-11.6: ENCRYPTION INSPIRED ADVERSARIAL DEFENSE FOR VISUAL CLASSIFICATION |
MaungMaung AprilPyone; Tokyo Metropolitan University |
Hitoshi Kiya; Tokyo Metropolitan University |
ARS-11.7: FEW-SHOT LEARNING WITH ATTENTION-WEIGHTED GRAPH CONVOLUTIONAL NETWORKS FOR HYPERSPECTRAL IMAGE CLASSIFICATION |
Xinyi Tong; Beihang University |
Jihao Yin; Beihang University |
Bingnan Han; Beihang University |
Hui Qv; Beihang University |
ARS-11.8: CLASSIFYING DEGRADED IMAGES OVER VARIOUS LEVELS OF DEGRADATION |
Kazuki Endo; Tokyo Institute of Technology |
Masayuki Tanaka; Tokyo Institute of Technology |
Masatoshi Okutomi; Tokyo Institute of Technology |
ARS-11.9: DEFORMABLE QUATERNION GABOR CONVOLUTIONAL NEURAL NETWORK FOR COLOR FACIAL EXPRESSION RECOGNITION |
Lianghai Jin; HuaZhong University of Science and Technology |
Yu Zhou; HuaZhong University of Science and Technology |
Hong Liu; HuaZhong University of Science and Technology |
Enmin Song; HuaZhong University of Science and Technology |
ARS-11.10: DEEP SUBCLASS LINEAR DISCRIMINANT ANALYSIS FOR MULTIMODAL FEATURE SPACE LEARNING |
Abin Jose; RWTH Aachen |
Shen Yan; Michigan State University |
Mi Zhang; Michigan State University |
Jens-Rainer Ohm; RWTH Aachen |
ARS-11.11: ONE-TO-ONE PERSON RE-IDENTIFICATION FOR QUEUE TIME ESTIMATION |
Aske R. Lejbølle; Aalborg University / Veovo Denmark |
Benjamin Krogh; Veovo Denmark |
Kamal Nasrollahi; Aalborg University / Milestone Systems A/S |
Thomas Moeslund; Aalborg University |