7 papers
Robust Audio-Visual Segmentation via Audio-Guided Visual Convergent Alignment
Chen Liu, Peike Li, Liying Yang +3
Accurately localizing audible objects based on audio-visual cues is the core objective of audio-visual segmentation. Most previous methods emphasize spatial or temporal multi-modal…
Dynamic Derivation and Elimination: Audio Visual Segmentation with Enhanced Audio Semantics
Chen Liu, Liying Yang, Peike Li +3
Sound-guided object segmentation has drawn considerable attention for its potential to enhance multimodal perception. Previous methods primarily focus on developing advanced archit…
Affective Behaviour Analysis via Progressive Learning
Chen Liu, Wei Zhang, Feng Qiu +2
Affective Behavior Analysis aims to develop emotionally intelligent technology that can recognize and respond to human emotions. To advance this field, the 7th Affective Behavior A…
7ABAW-Compound Expression Recognition via Curriculum Learning
Chen Liu, Feng Qiu, Wei Zhang +3
With the advent of deep learning, expression recognition has made significant advancements. However, due to the limited availability of annotated compound expression datasets and t…
EasyCraft: A Robust and Efficient Framework for Automatic Avatar Crafting
Suzhen Wang, Weijie Chen, Wei Zhang +5
Character customization, or 'face crafting,' is a vital feature in role-playing games (RPGs), enhancing player engagement by enabling the creation of personalized avatars. Existing…
FreeAvatar: Robust 3D Facial Animation Transfer by Learning an Expression Foundation Model
Feng Qiu, Wei Zhang, Chen Liu +6
Video-driven 3D facial animation transfer aims to drive avatars to reproduce the expressions of actors. Existing methods have achieved remarkable results by constraining both geome…