TP2.L303.5
VARIATIONAL FEATURE DISENTANGLEMENT FOR FEW-SHOT DOMAIN ADAPTATION
Weiduo Wang, Yun Gu, Jie Yang, Shanghai Jiao Tong University, China
Session:
TP2.L303: Machine Learning for Image and Video Analysis and Representation Lecture
Track:
Applications of Machine Learning
Location:
Room 303
Presentation Time:
Tue, 10 Oct, 17:42 - 18:00 Malaysia Time (UTC +8)
Session Chair:
Deepak Ranjan Nayak, Malaviya National Institute of Technology Jaipur
Session TP2.L303
TP2.L303.1: MUTUAL RELATIVE POSITION LEARNING TRANSFORMER FOR CROSS-VIEW GEO-LOCALIZATION
Bo Gu, Hefei Ling, Yuxuan Shi, Zongyi Li, Chuang Zhao, Ping Li, Qiang Cao, Huazhong University of Science and Technology, China
TP2.L303.2: Cross-Domain Few-Shot Classification via Inter-Source Stylization
Huali Xu, University of Oulu, Finland; Shuaifeng Zhi, National University of Defense Technology, China; Li Liu, University of Oulu, Finland
TP2.L303.3: OBJECT-CENTRIC VIDEO PREDICTION VIA DECOUPLING OF OBJECT DYNAMICS AND INTERACTIONS
Angel Villar-Corrales, Ismail Wahdan, Sven Behnke, University of Bonn, Germany
TP2.L303.4: NEV-NCD: NEGATIVE LEARNING, ENTROPY, AND VARIANCE REGULARIZATION BASED NOVEL ACTION CATEGORIES DISCOVERY
Zahid Hasan, Masud Ahmed, University of Maryland, Baltimore County, United States of America; Abu Zaher Md Faridee, Amazon Inc., United States of America; Sanjay Purushotham, University of Maryland, Baltimore County, United States of America; Heesung Kwon, Hyungtae Lee, DEVCOM Army Research Laboratory (ARL), United States of America; Nirmalya Roy, University of Maryland, Baltimore County, United States of America
TP2.L303.5: VARIATIONAL FEATURE DISENTANGLEMENT FOR FEW-SHOT DOMAIN ADAPTATION
Weiduo Wang, Yun Gu, Jie Yang, Shanghai Jiao Tong University, China
Contacts