MO3.L2.2
ADAPTIVE HIERARCHICAL FEATURE DIFFERENCE AUTO-ENCODER FOR ROBUST RGB-T OBJECT TRACKING
Mohamed Awad, Concordia University, Canada; Ahmed Elliethy, Military Technical College, Egypt; M. Omair Ahmad, M. N. S. Swamy, Concordia University, Canada
Session:
MO3.L2: Computational Imaging 1 Spotlight
Track:
[CI-TEC] Computational imaging methods and models
Location:
Spotlight Room 2
Presentation Time:
Mon, 15 Sep, 15:20 - 15:40 Anchorage Time (UTC -8)
Session Chair:
Touradj Ebrahimi, EPFL
Presentation
Discussion
Resources
No resources available.
Session MO3.L2
MO3.L2.1: QUANTA DIFFUSION
Prateek Chennuri, Purdue University, United States; Dongdong Fu, Dolby Laboratories, United States; Stanley H. Chan, Purdue University, United States
MO3.L2.2: ADAPTIVE HIERARCHICAL FEATURE DIFFERENCE AUTO-ENCODER FOR ROBUST RGB-T OBJECT TRACKING
Mohamed Awad, Concordia University, Canada; Ahmed Elliethy, Military Technical College, Egypt; M. Omair Ahmad, M. N. S. Swamy, Concordia University, Canada
MO3.L2.3: NAR-DIFF: A NOISE-ADAPTIVE REFLECTANCE DIFFUSION MODEL FOR LOW-LIGHT IMAGE ENHANCEMENT
Haiyan Jin, Wenfan Yang, Haonan Su, Yuanlin Zhang, Bin Wang, Xi'an University of Technology, China
Contacts