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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 |