activity
20192026
most citedEvaluating Local Geometric Feature Representations for 3D Rigid Data Matching

40 citations · 47 across the 13 of their papers we have counts for

collaborators

14 papers

cs.RO2026

FlowHOI: Flow-based Semantics-Grounded Generation of Hand-Object Interactions for Dexterous Robot Manipulation

Huajian Zeng, Lingyun Chen, Jiaqi Yang +4

Recent vision-language-action (VLA) models can generate plausible end-effector motions, yet they often fail in long-horizon, contact-rich tasks because the underlying hand-object i…

cs.CV2025★ 1 cited

AxisPose: Model-Free Matching-Free Single-Shot 6D Object Pose Estimation via Axis Generation

Yang Zou, Zhaoshuai Qi, Yating Liu +6

Object pose estimation, which plays a vital role in robotics, augmented reality, and autonomous driving, has been of great interest in computer vision. Existing studies either requ…

cs.CV2025

HyperGCT: A Dynamic Hyper-GNN-Learned Geometric Constraint for 3D Registration

Xiyu Zhang, Jiayi Ma, Jianwei Guo +5

Geometric constraints between feature matches are critical in 3D point cloud registration problems. Existing approaches typically model unordered matches as a consistency graph and…

cs.CV2024

3D Single-object Tracking in Point Clouds with High Temporal Variation

Qiao Wu, Kun Sun, Pei An +3

The high temporal variation of the point clouds is the key challenge of 3D single-object tracking (3D SOT). Existing approaches rely on the assumption that the shape variation of t…

cs.CV2024

Indoor 3D Reconstruction with an Unknown Camera-Projector Pair

Zhaoshuai Qi, Yifeng Hao, Rui Hu +3

Structured light-based method with a camera-projector pair (CPP) plays a vital role in indoor 3D reconstruction, especially for scenes with weak textures. Previous methods usually…

cs.CV2024

Instance by Instance: An Iterative Framework for Multi-instance 3D Registration

Xinyue Cao, Xiyu Zhang, Yuxin Cheng +3

Multi-instance registration is a challenging problem in computer vision and robotics, where multiple instances of an object need to be registered in a standard coordinate system. I…

cs.CV2023

3D Registration with Maximal Cliques

Xiyu Zhang, Jiaqi Yang, Shikun Zhang +1

As a fundamental problem in computer vision, 3D point cloud registration (PCR) aims to seek the optimal pose to align a point cloud pair. In this paper, we present a 3D registratio…

physics.optics2023

PSNet: a deep learning model based digital phase shifting algorithm from a single fringe image

Zhaoshuai Qi, Xiaojun Liu, Xiaolin Liu +2

As the gold standard for phase retrieval, phase-shifting algorithm (PS) has been widely used in optical interferometry, fringe projection profilometry, etc. However, capturing mult…

cs.CV2023

MixCycle: Mixup Assisted Semi-Supervised 3D Single Object Tracking with Cycle Consistency

Qiao Wu, Jiaqi Yang, Kun Sun +3

3D single object tracking (SOT) is an indispensable part of automated driving. Existing approaches rely heavily on large, densely labeled datasets. However, annotating point clouds…

cs.CV2021★ 2 cited

Dynamic Image Restoration and Fusion Based on Dynamic Degradation

Aiqing Fang, Xinbo Zhao, Jiaqi Yang +1

The deep-learning-based image restoration and fusion methods have achieved remarkable results. However, the existing restoration and fusion methods paid little research attention t…

cs.CV2020

On Efficient and Robust Metrics for RANSAC Hypotheses and 3D Rigid Registration

Jiaqi Yang, Zhiqiang Huang, Siwen Quan +3

This paper focuses on developing efficient and robust evaluation metrics for RANSAC hypotheses to achieve accurate 3D rigid registration. Estimating six-degree-of-freedom (6-DoF) p…

cs.CV2020

AE-Netv2: Optimization of Image Fusion Efficiency and Network Architecture

Aiqing Fang, Xinbo Zhao, Jiaqi Yang +2

Existing image fusion methods pay few research attention to image fusion efficiency and network architecture. However, the efficiency and accuracy of image fusion has an important…

cs.CV2020★ 4 cited

AE-Net: Autonomous Evolution Image Fusion Method Inspired by Human Cognitive Mechanism

Aiqing Fang, Xinbo Zhao, Jiaqi Yang +2

In order to solve the robustness and generality problems of the image fusion task,inspired by the human brain cognitive mechanism, we propose a robust and general image fusion meth…

cs.CV2019★ 40 cited

Evaluating Local Geometric Feature Representations for 3D Rigid Data Matching

Jiaqi Yang, Siwen Quan, Peng Wang +1

Local geometric descriptors remain an essential component for 3D rigid data matching and fusion. The devise of a rotational invariant local geometric descriptor usually consists of…