most citedVox-Fusion: Dense Tracking and Mapping with Voxel-based Neural Implicit Representation

231 citations · 235 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 2 cited

Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape

Jiacong Xu, Yi Zhang, Jiawei Peng +17

Accurately estimating the 3D pose and shape is an essential step towards understanding animal behavior, and can potentially benefit many downstream applications, such as wildlife c…

cs.CV2023★ 1 cited

NOVUM: Neural Object Volumes for Robust Object Classification

Artur Jesslen, Guofeng Zhang, Angtian Wang +3

Discriminative models for object classification typically learn image-based representations that do not capture the compositional and 3D nature of objects. In this work, we show th…

cs.CV2022★ 1 cited

Hierarchical and Progressive Image Matting

Yu Qiao, Yuhao Liu, Ziqi Wei +4

Most matting researches resort to advanced semantics to achieve high-quality alpha mattes, and direct low-level features combination is usually explored to complement alpha details…

cs.CV2022★ 231 cited

Vox-Fusion: Dense Tracking and Mapping with Voxel-based Neural Implicit Representation

Xingrui Yang, Hai Li, Hongjia Zhai +3

In this work, we present a dense tracking and mapping system named Vox-Fusion, which seamlessly fuses neural implicit representations with traditional volumetric fusion methods. Ou…

cs.CV2022

CGiS-Net: Aggregating Colour, Geometry and Implicit Semantic Features for Indoor Place Recognition

Yuhang Ming, Xingrui Yang, Guofeng Zhang +1

We describe a novel approach to indoor place recognition from RGB point clouds based on aggregating low-level colour and geometry features with high-level implicit semantic feature…