WP1.L303.1
DOG ACCURACY VIA EQUIVARIANCE: GET THE INTERPOLATION RIGHT
Václav Vávra, Dmytro Mishkin, Jiří Matas, Visual Recognition Group, Faculty of Electrical Engineering, Czech Technical University in Prague, Czechia
Session:
WP1.L303: Image Interpolation Lecture
Track:
Image and Video Processing
Location:
Room 303
Presentation Time:
Wed, 11 Oct, 14:30 - 14:48 Malaysia Time (UTC +8)
Session Chair:
Reji Mathew, University of South Wales
Session WP1.L303
WP1.L303.1: DOG ACCURACY VIA EQUIVARIANCE: GET THE INTERPOLATION RIGHT
Václav Vávra, Dmytro Mishkin, Jiří Matas, Visual Recognition Group, Faculty of Electrical Engineering, Czech Technical University in Prague, Czechia
WP1.L303.2: ST-MFNET MINI: KNOWLEDGE DISTILLATION-DRIVEN FRAME INTERPOLATION
Crispian Morris, Duolikun Danier, Fan Zhang, Nantheera Anantrasirichai, David Bull, University of Bristol, United Kingdom of Great Britain and Northern Ireland
WP1.L303.3: EFFICIENT CONVOLUTION AND TRANSFORMER-BASED NETWORK FOR VIDEO FRAME INTERPOLATION
Issa Khalifeh, Queen Mary University of London, United Kingdom of Great Britain and Northern Ireland; Luka Murn, British Broadcasting Corporation, United Kingdom of Great Britain and Northern Ireland; Marta Mrak, Ebroul Izquierdo, Queen Mary University of London, United Kingdom of Great Britain and Northern Ireland
WP1.L303.4: ASVFI: Audio-driven Speaker Video Frame Interpolation
Qianrui Wang, Dengshi Li, School of Artificial Intelligence, Jianghan University, China; Liang Liao, School of Computer Science and Engineering, Nanyang Technological University, China; Hao Song, Wei Li, School of Artificial Intelligence, Jianghan University, China; Jing Xiao, National Engineering Research Center for Multimedia Software, School of Computer, Wuhan University, China
Contacts