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
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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. |
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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 |
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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 |
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