activity
20222026
most citedDivide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization

4 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Xemo-Talker: Unlock Emotions Explicitly for Audio-Driven Talking Portrait Synthesis

Chaolong Yang, Yinuo Guo, Kai Yao +6

Precise emotion control in audio-driven talking heads remains a challenge due to the reliance on implicit emotion regulation in existing systems, which often leads to indirect and…

cs.CV2025

Unlock Pose Diversity: Accurate and Efficient Implicit Keypoint-based Spatiotemporal Diffusion for Audio-driven Talking Portrait

Chaolong Yang, Kai Yao, Yuyao Yan +7

Audio-driven single-image talking portrait generation plays a crucial role in virtual reality, digital human creation, and filmmaking. Existing approaches are generally categorized…

cs.CV2023

Open-Pose 3D Zero-Shot Learning: Benchmark and Challenges

Weiguang Zhao, Guanyu Yang, Rui Zhang +5

With the explosive 3D data growth, the urgency of utilizing zero-shot learning to facilitate data labeling becomes evident. Recently, methods transferring language or language-imag…

cs.CV2022

Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation

Chaolong Yang, Yuyao Yan, Weiguang Zhao +4

3D point clouds are rich in geometric structure information, while 2D images contain important and continuous texture information. Combining 2D information to achieve better 3D sem…

cs.CV2022★ 4 cited

Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization

Weiguang Zhao, Yuyao Yan, Chaolong Yang +3

Instance segmentation on point clouds is crucially important for 3D scene understanding. Most SOTAs adopt distance clustering, which is typically effective but does not perform wel…