Titlebook: Computer Vision – ACCV 2022; 16th Asian Conferenc Lei Wang,Juergen Gall,Rama Chellappa Conference proceedings 2023 The Editor(s) (if applic

疾馳

craven

繼而發(fā)生

刺耳

Occluded Facial Expression Recognition Using Self-supervised Learning consuming and expensive to collect a large number of facial images with various occlusions and expression annotations. To address this problem, we propose an occluded facial expression recognition method through self-supervised learning, which leverages the profusion of available unlabeled facial i

護(hù)航艦

Heterogeneous Avatar Synthesis Based on?Disentanglement of?Topology and?Renderingavatar synthesis (HAS) task considering topology and rendering transfer. HAS transfers the topology as well as rendering styles of the referenced face to the source face, to produce high-fidelity heterogeneous avatars. Specifically, first, we utilize a Rendering Transfer Network (RT-Net) to render t

火海

obsolete

Spatial-Temporal Adaptive Graph Convolutional Network for?Skeleton-Based Action Recognition graphs to extract discriminative features. However, due to the fixed topology shared among different poses and the lack of direct long-range temporal dependencies, it is not trivial to learn the robust spatial-temporal feature. Therefore, we present a spatial-temporal adaptive graph convolutional n

商業(yè)上

addict

Arroyo