3 citations · 3 across the 7 of their papers we have counts for
6 papers · 1 filter
TRACE: Typed Reference-Aware Conversational Editing for Humanoid Motion Diffusion
Zejian Kang, Yifu Luo, Boyang Shen +9
Language-conditioned humanoid motion generation enables users to create and refine robot movements through natural language. The central challenge is to connect an underspecified r…
One Patch Is Enough: Reinforcement-Optimized Visual Token Grounding for MLLM-Based Scene Text Spotting
Rui Tang, Wentao Yang, Peirong Zhang +4
Scene text spotting requires high-precision alignment between textual recognition and spatial localization. While visual-token grounding has emerged as a promising formulation for…
iGSP:Implicit Gradient Subspace Projection for Efficient Continual Learning of Vision-Language Models
Xuezhi Cui, Dongbo Zhou, Wang Guo +8
Vision-Language Models require efficient adaptation to continually emerging downstream tasks. While Parameter-Efficient Fine-Tuning mitigates catastrophic forgetting, assigning iso…
SuperFace: Preference-Aligned Facial Expression Estimation Beyond Pseudo Supervision
Zejian Kang, Xuanyang Xu, Wentao Yang +6
Accurate facial estimation is crucial for realistic digital human animation, and ARKit blendshape coefficients offer an interpretable representation by mapping facial motions to se…
SparseOIT: Improving Order-Independent Transparency 3DGS via Active Set Method
Wentao Yang, Fanzhen Kong, Zejian Kang +1
3D Gaussian Splatting (3DGS) has received tremendous popularity over the past few years due to its photorealistic visual appearance. However, 3DGS uses volumetric rendering that is…
SemanticFace: Semantic Facial Action Estimation via Semantic Distillation in Interpretable Space
Zejian Kang, Kai Zheng, Yuanchen Fei +3
Facial action estimation from a single image is often formulated as predicting or fitting parameters in compact expression spaces, which lack explicit semantic interpretability. Ho…