ARS-12: Machine Learning for Image and Video Classification II |
| Interactive Q&A Time: Tuesday, 27 October, 16:00 - 16:25 |
| Virtual Session: View on Virtual Platform |
| Session Chair: Jingjing Meng, The State University of New York at Buffalo |
| ARS-12.1: DEEP ADVERSARIAL ACTIVE LEARNING WITH MODEL UNCERTAINTY FOR IMAGE CLASSIFICATION |
| Zheng Zhu; ChongQing University |
| Hongxing Wang; ChongQing University |
| ARS-12.2: COLLABORATIVE LEARNING OF SEMI-SUPERVISED CLUSTERING AND CLASSIFICATION FOR LABELING UNCURATED DATA |
| Sara Mousavi; University of Tennessee, Knoxville |
| Dylan Lee; University of Tennessee, Knoxville |
| Tatianna Griffin; University of Tennessee, Knoxville |
| Dawnie Steadman; University of Tennessee, Knoxville |
| Audris Mockus; University of Tennessee, Knoxville |
| ARS-12.3: M-SOSANET : AN EFFICIENT CONVOLUTION NETWORK BACKBONE FOR EMBEDDING DEVICES |
| Tangkun Zhang; Beijing University of Posts and Telecommunications |
| Jichao Jiao; Beijing University of Posts and Telecommunications |
| Chengkai Zhang; Beijing University of Posts and Telecommunications |
| Yaxin Zhao; Beijing University of Posts and Telecommunications |
| Chenxu Wang; Beijing University of Posts and Telecommunications |
| Wei Cui; Beijing University of Posts and Telecommunications |
| Xinping Chen; Beijing University of Posts and Telecommunications |
| ARS-12.4: EMOTION TRANSFORMATION FEATURE: NOVEL FEATURE FOR DECEPTION DETECTION IN VIDEOS |
| Jun-Teng Yang; National Tsing Hua University |
| Guei-Ming Liu; National Tsing Hua University |
| Scott C.-H Huang; National Tsing Hua University |
| ARS-12.5: UNKNOWN CLASS LABEL CLEANING FOR LEARNING WITH OPEN-SET NOISY LABELS |
| Qing Yu; University of Tokyo |
| Kiyoharu Aizawa; University of Tokyo |
| ARS-12.6: CONTINUAL LOCAL TRAINING FOR BETTER INITIALIZATION OF FEDERATED MODELS |
| Xin Yao; Tsinghua University |
| Lifeng Sun; Tsinghua University |
| ARS-12.7: CASCADED CONTEXT DEPENDENCY: AN EXTREMELY LIGHTWEIGHT MODULE FOR DEEP CONVOLUTIONAL NEURAL NETWORKS |
| Xu Ma; University of North Texas |
| Zhinan Qiao; University of North Texas |
| Jingda Guo; University of North Texas |
| Sihai Tang; University of North Texas |
| Qi Chen; University of North Texas |
| Qing Yang; University of North Texas |
| Song Fu; University of North Texas |
| ARS-12.8: SCW-SGD: STOCHASTICALLY CONFIDENCE-WEIGHTED SGD |
| Takumi Kobayashi; National Institute of Advanced Industrial Science and Technology (AIST) |
| ARS-12.9: CHANNEL PRUNING VIA GRADIENT OF MUTUAL INFORMATION FOR LIGHT-WEIGHT CONVOLUTIONAL NEURAL NETWORKS |
| Min Kyu Lee; Inha University |
| Seung Hyeon Lee; Inha University |
| Sang Hyuk Lee; Inha University |
| Byung Cheol Song; Inha University |
| ARS-12.10: GOING DEEPER WITH NEURAL NETWORKS WITHOUT SKIP CONNECTIONS |
| Oyebade Oyedotun; University of Luxembourg |
| Abdelrahman Shabayek; University of Luxembourg |
| Djamila Aouada; University of Luxembourg |
| Bjorn Ottersten; University of Luxembourg |
| ARS-12.11: ATTENTION BOOSTED DEEP NETWORKS FOR VIDEO CLASSIFICATION |
| Junyong You; Norwegian Research Centre (NORCE) |
| Jari Korhonen; Shenzhen University |
| ARS-12.12: SKETCHED SPARSE SUBSPACE CLUSTERING FOR LARGE-SCALE HYPERSPECTRAL IMAGES |
| Shaoguang Huang; Ghent University |
| Hongyan Zhang; Wuhan University |
| Aleksandra Pizurica; Ghent University |
| ARS-12.13: INCREMENTAL FAST SUBCLASS DISCRIMINANT ANALYSIS |
| Kateryna Chumachenko; Tampere University |
| Jenni Raitoharju; Tampere University |
| Moncef Gabbouj; Tampere University |
| Alexandros Iosifidis; Aarhus University |
| ARS-12.14: FEATURE COMPARISON BASED CHANNEL ATTENTION FOR FINE-GRAINED VISUAL CLASSIFICATION |
| Shukun Jia; CRISE, Institute of Automation, Chinese Academy of Sciences |
| Yan Bai; CRISE, Institute of Automation, Chinese Academy of Sciences |
| Jing Zhang; CRISE, Institute of Automation, Chinese Academy of Sciences |