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MLR-APPL-IVSMR-3: Machine learning for image and video sensing, modeling and representation 3

Session Type: Poster
Time: Wednesday, September 22, 14:30 - 16:00
Location: Area D
Session Chair: Junyeong Kim, KAIST
 
   MLR-APPL-IVSMR-3.1: IMAGE ENHANCED ROTATION PREDICTION FOR SELF-SUPERVISED LEARNING
         Shin'ya Yamaguchi; NTT
         Sekitoshi Kanai; NTT
         Tetsuya Shioda; NTT
         Shoichiro Takeda; NTT
 
   MLR-APPL-IVSMR-3.2: ENHANCING ADVERSARIAL ROBUSTNESS FOR IMAGE CLASSIFICATION BY REGULARIZING CLASS LEVEL FEATURE DISTRIBUTION
         Cheng Yu; Tsinghua University
         Youze Xue; Tsinghua University
         Jiansheng Chen; Tsinghua University
         Yu Wang; Tsinghua University
         Huimin Ma; University of Science and Technology Beijing
 
   MLR-APPL-IVSMR-3.3: SEMI-SUPERVISED LEARNING FOR MARS IMAGERY CLASSIFICATION
         Wenjing Wang; Peking University
         Lilang Lin; Peking University
         Zejia Fan; Peking University
         Jiaying Liu; Peking University
 
   MLR-APPL-IVSMR-3.4: CLASS INCREMENTAL LEARNING FOR VIDEO ACTION CLASSIFICATION
         Jiawei Ma; Xi'an Jiaotong University
         Xiaoyu Tao; Xi'an Jiaotong University
         Jianxing Ma; Xi'an Jiaotong University
         Xiaopeng Hong; Xi'an Jiaotong University
         Yihong Gong; Xi'an Jiaotong University
 
   MLR-APPL-IVSMR-3.5: FINE-GRAINED MULTI-CLASS OBJECT COUNTING
         Hyojun Go; Korea Advanced Institute of Science and Technology
         Junyoung Byun; Korea Advanced Institute of Science and Technology
         Byeongjun Park; Korea Advanced Institute of Science and Technology
         Myung-Ae Choi; Korea Advanced Institute of Science and Technology
         Seunghwa Yoo; National Institute of Ecology
         Changick Kim; Korea Advanced Institute of Science and Technology
 
   MLR-APPL-IVSMR-3.6: ITERATIVE SUBNETWORK WITH LINEAR HIERARCHICAL ORDERING FOR HUMAN POSE ESTIMATION
         Shek Wai Chu; University of Sydney
         Chaoyi Zhang; University of Sydney
         Yang Song; University of New South Wales
         Weidong Cai; University of Sydney
 
   MLR-APPL-IVSMR-3.7: UNSUPERVISED FAST VISUAL LOCALIZATION AND MAPPING WITH SLOW FEATURES
         Muhammad Haris; Frankfurt University of Applied Sciences
         Mathias Franzius; Honda Research Institute Europe GmbH
         Ute Bauer-Wersing; Frankfurt University of Applied Sciences
 
   MLR-APPL-IVSMR-3.8: MULTI-TASK OCCLUSION LEARNING FOR REAL-TIME VISUAL OBJECT TRACKING
         Gozde Sahin; University of Southern California
         Laurent Itti; University of Southern California
 
   MLR-APPL-IVSMR-3.9: CRACK DETECTION AND REFINEMENT VIA DEEP REINFORCEMENT LEARNING
         Jinhyung Park; Carnegie Mellon University
         Yi-Chun Chen; Carnegie Mellon University
         Yu-Jhe Li; Carnegie Mellon University
         Kris Kitani; Carnegie Mellon University
 
   MLR-APPL-IVSMR-3.10: WEAKLY-SUPERVISED MOMENT RETRIEVAL NETWORK FOR VIDEO CORPUS MOMENT RETRIEVAL
         Sunjae Yoon; Korea Advanced Institute of Science and Technology
         Dahyun Kim; Korea Advanced Institute of Science and Technology
         Ji Woo Hong; Korea Advanced Institute of Science and Technology
         Junyeong Kim; Korea Advanced Institute of Science and Technology
         Kookhoi Kim; Korea Advanced Institute of Science and Technology
         Chang D. Yoo; Korea Advanced Institute of Science and Technology
 
   MLR-APPL-IVSMR-3.11: PROGRESSIVE NEURAL IMAGE COMPRESSION WITH NESTED QUANTIZATION AND LATENT ORDERING
         Yadong Lu; Department of Statistics, University of California Irvine
         Yinhao Zhu; Qualcomm AI Research, Qualcomm Technologies, Inc.
         Yang Yang; Qualcomm AI Research, Qualcomm Technologies, Inc.
         Amir Said; Qualcomm AI Research, Qualcomm Technologies, Inc.
         Taco Cohen; Qualcomm AI Research, Qualcomm Technologies Netherlands B.V.
 
   MLR-APPL-IVSMR-3.12: EDGE-LABELING BASED DIRECTED GATED GRAPH NETWORK FOR FEW-SHOT LEARNING
         Peixiao Zheng; Zhengzhou University
         Xin Guo; Zhengzhou University
         Lin Qi; Zhengzhou University
 
   MLR-APPL-IVSMR-3.13: MICRO-EXPRESSION RECOGNITION BASED ON VIDEO MOTION MAGNIFICATION AND PRE-TRAINED NEURAL NETWORK
         Mengjiong Bai; University of Canberra
         Roland Goecke; University of Canberra
         Damith Herath; University of Canberra