collaborators

6 papers

cs.CV2026

Proxy Avatar Meets Low-Rank Caching: Real-Time One-Shot Emotion-Controllable Portrait Animation

Haijie Yang, Jindi Bao, Yixuan Dong +6

Audio-driven portrait animation has advanced rapidly with diffusion-based generative models, yet real-time one-shot generation with expressive emotion control remains challenging.…

cs.CV2026

GaussianEmoTalker: Real-Time Emotional Talking Head Synthesis with Audio-Driven and Blendshape-Based 3D Gaussian Splatting

Haijie Yang, Zhenyu Zhang, Yixuan Dong +2

Audio-driven talking head synthesis has achieved impressive progress in lip synchronization and visual quality, yet generating expressive emotional avatars with controllable intens…

cs.CV2026

Progressive Representation Learning for Multimodal Sentiment Analysis with Incomplete Modalities

Jindi Bao, Jianjun Qian, Mengkai Yan +1

Multimodal Sentiment Analysis (MSA) seeks to infer human emotions by integrating textual, acoustic, and visual cues. However, existing approaches often rely on all modalities are c…

eess.AS2025

Warm Chat: Diffuse Emotion-aware Interactive Talking Head Avatar with Tree-Structured Guidance

Haijie Yang, Zhenyu Zhang, Hao Tang +2

Generative models have advanced rapidly, enabling impressive talking head generation that brings AI to life. However, most existing methods focus solely on one-way portrait animati…

cs.CV2025

MonoSE(3)-Diffusion: A Monocular SE(3) Diffusion Framework for Robust Camera-to-Robot Pose Estimation

Kangjian Zhu, Haobo Jiang, Yigong Zhang +3

We propose MonoSE(3)-Diffusion, a monocular SE(3) diffusion framework that formulates markerless, image-based robot pose estimation as a conditional denoising diffusion process. Th…

cs.CV2025

Follow Your Motion: A Generic Temporal Consistency Portrait Editing Framework with Trajectory Guidance

Haijie Yang, Zhenyu Zhang, Hao Tang +2

Pre-trained conditional diffusion models have demonstrated remarkable potential in image editing. However, they often face challenges with temporal consistency, particularly in the…