TA.PA.9
FAST OPTIMAL TRANSPORT FOR LATENT DOMAIN ADAPTATION
Siddharth Roheda, Samsung Research Institute, India; Ashkan Panahi, Chalmers University, Sweden; Hamid Krim, North Carolina State University, United States of America
Session:
TA.PA: Image and Video Representation II Poster
Track:
Image and Video Sensing, Modeling, and Representation
Location:
Poster Area A
Presentation Time:
Tue, 10 Oct, 11:00 - 12:30 Malaysia Time (UTC +8)
Session Chair:
Adam Novozámský, UTIA - Czech Academy of Sciences
Session TA.PA
TA.PA.1: Context-Aware Inpainter-Refiner for Skeleton-Based Human Motion Completion
Rong He, Yansong Tang, Xiu Li, Jiwen Lu, Tsinghua University, China
TA.PA.2: COVARIANCE-AWARE FEATURE ALIGNMENT WITH PRE-COMPUTED SOURCE STATISTICS FOR TEST-TIME ADAPTATION TO MULTIPLE IMAGE CORRUPTIONS
Kazuki Adachi, Shin'ya Yamaguchi, Atsutoshi Kumagai, Nippon Telegraph and Telephone Corporation, Japan
TA.PA.3: DOMAIN GENERALIZATION METHOD FOR PERSON RE-ID USING METABIN AND MIXSTYLE
Sungyeon Park, Hyunhak Shin, Sangbin Yun, Seongyeop Yang, Jeongeun Lim, Seungin Noh, Artificial Intelligence Laboratory, Hanwha Vision, Korea, Republic of
TA.PA.4: ATTEN-ADAPTER: A UNIFIED ATTENTION-BASED ADAPTER FOR EFFICIENT TUNING
Kaiwen Li, Wenzhe Gu, Maixuan Xue, Jiahua Xiao, Xi’an Jiaotong University, China; Dahu Shi, Zhejiang University, China; Xing Wei, Xi’an Jiaotong University, China
TA.PA.5: ADDING DISTANCE INFORMATION TO SELF-SUPERVISED LEARNING FOR RICH REPRESENTATIONS
Yeji Kim, Bai-Sun Kong, Sungkyunkwan University, Korea, Republic of
TA.PA.6: VIVA: A Variational Image Vectorization Algorithm on Dual-Primal Graph Pairs
Yuchen He, Shanghai Jiao Tong University, China; Sung Ha Kang, Georgia Institute of Technology, United States of America; Jean-Michel Morel, City University of Hong Kong, Hong Kong
TA.PA.7: The Oil and Water Separation Phenomenon Inspired Loss for Feature Learning
Zijia Wang, Wenbin Yang, Dell Technologies, China; Zhi-Song Liu, CVPR Lab, Lappeenranta-Lahti University of Technology LUT, China; Jiacheng Ni, Qiang Chen, Zhen Jia, Dell Technologies, China
TA.PA.8: Domain Invariant Regularization By Disentangling content and style features for Visual Domain Generalization
Behnam Gholami, Mostafa El-Khamy, Kee-Bong Song, Samsung Semiconductor Inc., United States of America
TA.PA.9: FAST OPTIMAL TRANSPORT FOR LATENT DOMAIN ADAPTATION
Siddharth Roheda, Samsung Research Institute, India; Ashkan Panahi, Chalmers University, Sweden; Hamid Krim, North Carolina State University, United States of America
TA.PA.10: GMML is All you Need
Sara Atito, Muhammed Awais, Srinivasa Nandam, Josef Kittler, University of Surrey, United Kingdom of Great Britain and Northern Ireland
TA.PA.11: MEGL: MULTI-EXPERTS GUIDED LEARNING NETWORK FOR SINGLE CAMERA TRAINING PERSON RE-IDENTIFICATION
He Li, Yuxuan Shi, Hefei Ling, Zongyi Li, Runsheng Wang, Chengxin Zhao, Ping Li, Huazhong University of Science and Technology, China
TA.PA.12: ENABLING HIGH-RESOLUTION POSE ESTIMATION IN REAL TIME USING ACTIVE PERCEPTION
Theodoros Manousis, Nikolaos Passalis, Anastasios Tefas, Aristotle University of Thessaloniki, Greece
Contacts