Technical Program

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MQ.L8: Optical Flow & Motion Estimation

Session Type: Lecture
Time: Monday, September 23, 16:30 - 18:18
Location: South Lounge (3F)
Session Chair: David Taubman, UNSW Sydney
 
 MQ.L8.1: OPTICAL FLOW ESTIMATION USING SPATIAL-CHANNEL COMBINATIONAL ATTENTION-BASED PYRAMID NETWORKS
         Xuezhi Xiang; Harbin Engineering University
         Mingliang Zhai; Harbin Engineering University
         Rongfang Zhang; Harbin Engineering University
         Ning Lv; Harbin Engineering University
         Abdulmotaleb El Saddik; University of Ottawa
 
 MQ.L8.2: DEGRAF-FLOW: EXTENDING DEGRAF FEATURES FOR ACCURATE AND EFFICIENT SPARSE-TO-DENSE OPTICAL FLOW ESTIMATION
         Felix Stephenson; Durham University
         Toby Breckon; Durham University
         Ioannis Katramados; NHL Stenden University of Applied Sciences
 
 MQ.L8.3: ITERATIVE OPTICAL FLOW REFINEMENT FOR HIGH RESOLUTION IMAGES
         Moritz Mühlhausen; Technische Universität Braunschweig
         Leslie Wöhler; Technische Universität Braunschweig
         Georgia Albuquerque; Technische Universität Braunschweig
         Marcus Magnor; Technische Universität Braunschweig
 
 MQ.L8.4: MULTIPLE MOTION FIELDS FOR MULTIPLE TYPES OF AGENTS
         Catarina Barata; IST-ID
         Mário A. T. Figueiredo; IST
         Jorge S. Marques; IST
 
 MQ.L8.5: TEXTURE-BASED REGION TRACKING USING GAUSSIAN MARKOV RANDOM FIELDS FOR CILIA MOTION ANALYSIS
         Yasseen Almakady; University of Southampton
         Sasan Mahmoodi; University of Southampton
 
 MQ.L8.6: LEARNING DENSE CORRESPONDENCES FOR VIDEO OBJECTS
         Wen-Chi Chin; National Tsing Hua University
         Zih-Jian Jhang; Industrial Technology Research Institute
         Hwann-Tzong Chen; National Tsing Hua University
         Koichi Ito; Graduate School of Information Sciences