Technical Program

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MLR-APPL-IVSMR-2: Machine learning for image and video sensing, modeling and representation 2

Interactive Q&A Time: Tuesday, September 21, 15:30 - 17:00
Session Chair: Ghassan AlRegib, Georgia Institute of Technology
 
 MLR-APPL-IVSMR-2.1: HARD SAMPLES RECTIFICATION FOR UNSUPERVISED CROSS-DOMAIN PERSON RE-IDENTIFICATION
         Chih-Ting Liu; National Taiwan University
         Man-Yu Lee; National Taiwan University
         Tsai-Shien Chen; National Taiwan University
         Shao-Yi Chien; National Taiwan University
 
 MLR-APPL-IVSMR-2.2: FEW-SHOT CLASSIFICATION IN UNSEEN DOMAINS BY EPISODIC META-LEARNING ACROSS VISUAL DOMAINS
         Yuan-Chia Cheng; National Taiwan University
         Ci-Siang Lin; National Taiwan University
         Fu-En Yang; National Taiwan University
         Yu-Chiang Frank Wang; National Taiwan University
 
 MLR-APPL-IVSMR-2.3: SYNTACTICALLY GUIDED GENERATIVE EMBEDDINGS FOR ZERO-SHOT SKELETON ACTION RECOGNITION
         Pranay Gupta; International Institute of Information Technology, Hyderabad
         Divyanshu Sharma; International Institute of Information Technology, Hyderabad
         Ravi Kiran Sarvadevabhatla; International Institute of Information Technology, Hyderabad
 
 MLR-APPL-IVSMR-2.4: ZERO-SHOT OBJECT DETECTION WITH TRANSFORMERS
         Ye Zheng; Institute of Computing Technology, Chinese Academy of Sciences;University of Chinese Academy of Sciences
         Li Cui; Institute of Computing Technology, Chinese Academy of Sciences
 
 MLR-APPL-IVSMR-2.5: DEEP ACTIVE LEARNING FROM MULTISPECTRAL DATA THROUGH CROSS-MODALITY PREDICTION INCONSISTENCY
         Heng Zhang; Univ Rennes
         Elisa Fromont; Univ Rennes
         Sebastien Lefevre; Univ Bretagne Sud
         Bruno Avignon; ATERMES
 
 MLR-APPL-IVSMR-2.6: HARDMIX: A REGULARIZATION METHOD TO MITIGATE THE LARGE SHIFT IN FEW-SHOT DOMAIN ADAPTATION
         Ziyun Liang; Shanghai Jiao Tong University
         Yun Gu; Shanghai Jiao Tong University
         Jie Yang; Shanghai Jiao Tong University
 
 MLR-APPL-IVSMR-2.7: OPEN-SET DOMAIN GENERALIZATION VIA METRIC LEARNING
         Kai Katsumata; University of Tokyo
         Ikki Kishida; University of Tokyo
         Ayako Amma; Woven Planet Holdings, Inc.
         Hideki Nakayama; University of Tokyo
 
 MLR-APPL-IVSMR-2.8: RETHINKING TRAINING SCHEDULES FOR VERIFIABLY ROBUST NETWORKS
         Hyojun Go; Korea Advanced Institute of Science and Technology
         Junyoung Byun; Korea Advanced Institute of Science and Technology
         Changick Kim; Korea Advanced Institute of Science and Technology
 
 MLR-APPL-IVSMR-2.9: OPEN-SET RECOGNITION WITH GRADIENT-BASED REPRESENTATIONS
         Jinsol Lee; Georgia Institute of Technology
         Ghassan AlRegib; Georgia Institute of Technology
 
 MLR-APPL-IVSMR-2.10: HIERARCHICAL DOMAIN-CONSISTENT NETWORK FOR CROSS-DOMAIN OBJECT DETECTION
         Yuanyuan Liu; China University of Geosciences, Wuhan
         Ziyang Liu; China University of Geosciences, Wuhan
         Fang Fang; China University of Geosciences, Wuhan
         Zhanghua Fu; The Chinese University of Hong Kong
         Zhanlong Chen; China University of Geosciences, Wuhan
 
 MLR-APPL-IVSMR-2.11: DOMAIN ADAPTING ABILITY OF SELF-SUPERVISED LEARNING FOR FACE RECOGNITION
         Chun-Hsien Lin; National Chiao Tung University
         Bing-Fei Wu; National Chiao Tung University
 
 MLR-APPL-IVSMR-2.12: SENSOR ADVERSARIAL TRAITS: ANALYZING ROBUSTNESS OF 3D OBJECT DETECTION SENSOR FUSION MODELS
         Won Park; University of Michigan
         Nan Liu; University of Michigan
         Qi Alfred Chen; University of California, Irvine
         Z. Morley Mao; University of Michigan