activity
20202026
most citedGeoConv: Geodesic Guided Convolution for Facial Action Unit Recognition

30 citations · 35 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Feedforward Novel View Synthesis for Heterogeneous Cameras

Meng Wei, Cheng Zhang, Boying Li +4

Feed-forward novel view synthesis has recently shown promising results from sparse posed images, but most existing methods assume that context and target views share a fixed camera…

cs.CV2025

ASAP-Textured Gaussians: Enhancing Textured Gaussians with Adaptive Sampling and Anisotropic Parameterization

Meng Wei, Cheng Zhang, Jianmin Zheng +2

Recent advances have equipped 3D Gaussian Splatting with texture parameterizations to capture spatially varying attributes, improving the performance of both appearance modeling an…

cs.CV2024★ 3 cited

Normal-GS: 3D Gaussian Splatting with Normal-Involved Rendering

Meng Wei, Qianyi Wu, Jianmin Zheng +2

Rendering and reconstruction are long-standing topics in computer vision and graphics. Achieving both high rendering quality and accurate geometry is a challenge. Recent advancemen…

cs.CV2024★ 2 cited

McGrids: Monte Carlo-Driven Adaptive Grids for Iso-Surface Extraction

Daxuan Ren, Hezi Shi, Jianmin Zheng +1

Iso-surface extraction from an implicit field is a fundamental process in various applications of computer vision and graphics. When dealing with geometric shapes with complicated…

cs.GR2024

Differentiable Convex Polyhedra Optimization from Multi-view Images

Daxuan Ren, Haiyi Mei, Hezi Shi +3

This paper presents a novel approach for the differentiable rendering of convex polyhedra, addressing the limitations of recent methods that rely on implicit field supervision. Our…

cs.CV2020★ 30 cited

GeoConv: Geodesic Guided Convolution for Facial Action Unit Recognition

Yuedong Chen, Guoxian Song, Zhiwen Shao +3

Automatic facial action unit (AU) recognition has attracted great attention but still remains a challenging task, as subtle changes of local facial muscles are difficult to thoroug…