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 |