40 citations · 53 across the 10 of their papers we have counts for
11 papers
ATOM: Geometry-Aware Microgesture towards Object-Agnostic Tangible Interaction
Yinqiao Wang, Hao Xu, Qixuan Liu +3
This paper presents ATOM, an integrated framework towards agnostic and tangible object interactions with microgestures. Our goal is to support microgesture interactions across diff…
LaS-Comp: Zero-shot 3D Completion with Latent-Spatial Consistency
Weilong Yan, Haipeng Li, Hao Xu +4
This paper introduces LaS-Comp, a zero-shot and category-agnostic approach that leverages the rich geometric priors of 3D foundation models to enable 3D shape completion across div…
Hierarchical Neural Semantic Representation for 3D Semantic Correspondence
Keyu Du, Jingyu Hu, Haipeng Li +4
This paper presents a new approach to estimate accurate and robust 3D semantic correspondence with the hierarchical neural semantic representation. Our work has three key contribut…
UniHOPE: A Unified Approach for Hand-Only and Hand-Object Pose Estimation
Yinqiao Wang, Hao Xu, Pheng-Ann Heng +1
Estimating the 3D pose of hand and potential hand-held object from monocular images is a longstanding challenge. Yet, existing methods are specialized, focusing on either bare-hand…
HybridReg: Robust 3D Point Cloud Registration with Hybrid Motions
Keyu Du, Hao Xu, Haipeng Li +3
Scene-level point cloud registration is very challenging when considering dynamic foregrounds. Existing indoor datasets mostly assume rigid motions, so the trained models cannot ro…
PointRegGPT: Boosting 3D Point Cloud Registration using Generative Point-Cloud Pairs for Training
Suyi Chen, Hao Xu, Haipeng Li +5
Data plays a crucial role in training learning-based methods for 3D point cloud registration. However, the real-world dataset is expensive to build, while rendering-based synthetic…
HandBooster: Boosting 3D Hand-Mesh Reconstruction by Conditional Synthesis and Sampling of Hand-Object Interactions
Hao Xu, Haipeng Li, Yinqiao Wang +2
Reconstructing 3D hand mesh robustly from a single image is very challenging, due to the lack of diversity in existing real-world datasets. While data synthesis helps relieve the i…
3D Face Reconstruction Using A Spectral-Based Graph Convolution Encoder
Haoxin Xu, Zezheng Zhao, Yuxin Cao +3
Monocular 3D face reconstruction plays a crucial role in avatar generation, with significant demand in web-related applications such as generating virtual financial advisors in Fin…
SiMA-Hand: Boosting 3D Hand-Mesh Reconstruction by Single-to-Multi-View Adaptation
Yinqiao Wang, Hao Xu, Pheng-Ann Heng +1
Estimating 3D hand mesh from RGB images is a longstanding track, in which occlusion is one of the most challenging problems. Existing attempts towards this task often fail when the…
TilinGNN: Learning to Tile with Self-Supervised Graph Neural Network
Hao Xu, Ka Hei Hui, Chi-Wing Fu +1
We introduce the first neural optimization framework to solve a classical instance of the tiling problem. Namely, we seek a non-periodic tiling of an arbitrary 2D shape using one o…
Computational LEGO Technic Design
Hao Xu, Ka-Hei Hui, Chi-Wing Fu +1
We introduce a method to automatically compute LEGO Technic models from user input sketches, optionally with motion annotations. The generated models resemble the input sketches wi…