collaborators

7 papers

cs.CV2026

UniRED: Unified RGB-D Video Frame Interpolation with Event Guidance

Yinuo Zhang, Guangshun Wei, Yuanfeng Zhou +1

High frame-rate RGB-D videos are crucial for a variety of downstream tasks, including motion analysis, dynamic scene understanding, and 3D reconstruction. However, due to hardware…

cs.CV2026

TSegAgent: Zero-Shot Tooth Segmentation via Geometry-Aware Vision-Language Agents

Shaojie Zhuang, Lu Yin, Guangshun Wei +3

Automatic tooth segmentation and identification from intra-oral scanned 3D models are fundamental problems in digital dentistry, yet most existing approaches rely on task-specific…

cs.CV2026

Detecting Dental Landmarks from Intraoral 3D Scans: the 3DTeethLand challenge

Achraf Ben-Hamadou, Nour Neifar, Ahmed Rekik +23

Teeth landmark detection is a key task in modern orthodontics, supporting advanced diagnosis, personalized treatment planning, and effective monitoring of treatment progress. Howev…

cs.GR2026

SAND: Spatially Adaptive Network Depth for Fast Sampling of Neural Implicit Surfaces

Chuanxiang Yang, Junhui Hou, Yuan Liu +5

Implicit neural representations are powerful for geometric modeling, but their practical use is often limited by the high computational cost of network evaluations. We observe that…

cs.LG2025

T-MLP: Tailed Multi-Layer Perceptron for Level-of-Detail Signal Representation

Chuanxiang Yang, Yuanfeng Zhou, Guangshun Wei +4

Level-of-detail (LoD) representation is critical for efficiently modeling and transmitting various types of signals, such as images and 3D shapes. In this work, we propose a novel…

cs.CV2025

Monge-Ampere Regularization for Learning Arbitrary Shapes from Point Clouds

Chuanxiang Yang, Yuanfeng Zhou, Guangshun Wei +4

As commonly used implicit geometry representations, the signed distance function (SDF) is limited to modeling watertight shapes, while the unsigned distance function (UDF) is capab…