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20242026
most citedStatic for Dynamic: Towards a Deeper Understanding of Dynamic Facial Expressions Using Static Expression Data

4 citations · 6 across the 7 of their papers we have counts for

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cs.CV2026

CETalk: Continuous Valence-Arousal Control for Audio-Driven 3D Talking Head Generation

Peng Jia, Li Dai, Zhen Xiao +2

Emotional 3D talking head generation aims to synthesize expressive facial animations with accurate lip synchronization. However, existing methods often rely on discrete emotion cat…

cs.CV2026

Traits Run Deeper: Trait-Specific Asymmetric Fusion for Personality Assessment

Jia Li, Qian Chen, Wei Wang +5

Personality assessment aims to infer stable traits from dynamic behaviors across modalities like language, voice, and facial expressions. Existing approaches often adopt a uniform…

cs.CV2026

SDTalk: Structured Facial Priors and Dual-Branch Motion Fields for Generalizable Gaussian Talking Head Synthesis

Peng Jia, Zhen Xiao, Jia Li +3

High-quality, real-time talking head synthesis remains a fundamental challenge in computer vision. Existing reconstruction- and rendering-based methods typically rely on identity-s…

cs.CV2026

Bidirectional Learning of Facial Action Units and Expressions via Structured Semantic Mapping across Heterogeneous Datasets

Jia Li, Yu Zhang, Yin Chen +5

Facial action unit (AU) detection and facial expression (FE) recognition can be jointly viewed as affective facial behavior tasks, representing fine-grained muscular activations an…

cs.CV20251 cited

Agent Journey Beyond RGB: Hierarchical Semantic-Spatial Representation Enrichment for Vision-and-Language Navigation

Xuesong Zhang, Yunbo Xu, Jia Li +2

Navigating unseen environments from natural language instructions remains challenging for egocentric agents in Vision-and-Language Navigation (VLN). Humans naturally ground concret…

cs.CV20254 cited

Static for Dynamic: Towards a Deeper Understanding of Dynamic Facial Expressions Using Static Expression Data

Yin Chen, Jia Li, Yu Zhang +4

Dynamic facial expression recognition (DFER) infers emotions from the temporal evolution of expressions, unlike static facial expression recognition (SFER), which relies solely on…