10 citations · 35 across the 24 of their papers we have counts for
24 papers
BridgeMatch: Conditional Transport Bridges in Matching Matrix Space for 3D Deformable Registration
Qianliang Wu, Haobo Jiang, Guangwei Gao +5
Reliable matching between partially observed, deforming point clouds requires global context and fine geometric detail. Coarse candidate selection can exclude correct fine-level co…
A Cross-view Fusion Framework for Robust 6-DoF Grasp Pose Estimation
Kangjian Zhu, Haobo Jiang, Jianjun Qian +1
In this paper, we propose a cross-view fusion framework that enhances the robustness of 6-DoF grasp pose estimation in corner views. Our framework alleviates occlusion by incorpora…
VGGT-360: Geometry-Consistent Zero-Shot Panoramic Depth Estimation
Jiayi Yuan, Haobo Jiang, De Wen Soh +1
This paper presents VGGT-360, a novel training-free framework for zero-shot, geometry-consistent panoramic depth estimation. Unlike prior view-independent training-free approaches,…
Geometry-to-Image Synthesis-Driven Generative Point Cloud Registration
Haobo Jiang, Jin Xie, Jian Yang +2
In this paper, we propose a novel 3D registration paradigm, Generative Point Cloud Registration, which bridges advanced 2D generative models with 3D matching tasks to enhance regis…
FUSER: Feed-Forward MUltiview 3D Registration Transformer and SE(3) Diffusion Refinement
Haobo Jiang, Jin Xie, Jian Yang +2
Registration of multiview point clouds conventionally relies on extensive pairwise matching to build a pose graph for global synchronization, which is computationally expensive and…
MonoSE(3)-Diffusion: A Monocular SE(3) Diffusion Framework for Robust Camera-to-Robot Pose Estimation
Kangjian Zhu, Haobo Jiang, Yigong Zhang +3
We propose MonoSE(3)-Diffusion, a monocular SE(3) diffusion framework that formulates markerless, image-based robot pose estimation as a conditional denoising diffusion process. Th…
MaskHOI: Robust 3D Hand-Object Interaction Estimation via Masked Pre-training
Yuechen Xie, Haobo Jiang, Jian Yang +2
In 3D hand-object interaction (HOI) tasks, estimating precise joint poses of hands and objects from monocular RGB input remains highly challenging due to the inherent geometric amb…
Diff-Reg v2: Diffusion-Based Matching Matrix Estimation for Image Matching and 3D Registration
Qianliang Wu, Haobo Jiang, Yaqing Ding +5
Establishing reliable correspondences is crucial for all registration tasks, including 2D image registration, 3D point cloud registration, and 2D-3D image-to-point cloud registrati…
Diff-Reg v1: Diffusion Matching Model for Registration Problem
Qianliang Wu, Haobo Jiang, Lei Luo +4
Establishing reliable correspondences is essential for registration tasks such as 3D and 2D3D registration. Existing methods commonly leverage geometric or semantic point features…
SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation
Haobo Jiang, Mathieu Salzmann, Zheng Dang +2
In this paper, we introduce an SE(3) diffusion model-based point cloud registration framework for 6D object pose estimation in real-world scenarios. Our approach formulates the 3D…
SGNet: Salient Geometric Network for Point Cloud Registration
Qianliang Wu, Yaqing Ding, Lei Luo +5
Point Cloud Registration (PCR) is a critical and challenging task in computer vision. One of the primary difficulties in PCR is identifying salient and meaningful points that exhib…
Implicit Obstacle Map-driven Indoor Navigation Model for Robust Obstacle Avoidance
Wei Xie, Haobo Jiang, Shuo Gu +1
Robust obstacle avoidance is one of the critical steps for successful goal-driven indoor navigation tasks.Due to the obstacle missing in the visual image and the possible missed de…
Robust Outlier Rejection for 3D Registration with Variational Bayes
Haobo Jiang, Zheng Dang, Zhen Wei +3
Learning-based outlier (mismatched correspondence) rejection for robust 3D registration generally formulates the outlier removal as an inlier/outlier classification problem. The co…
Graph Matching Optimization Network for Point Cloud Registration
Qianliang Wu, Yaqi Shen, Haobo Jiang +5
Point Cloud Registration is a fundamental and challenging problem in 3D computer vision. Recent works often utilize the geometric structure information in point feature embedding o…
Recurrent Structure Attention Guidance for Depth Super-Resolution
Jiayi Yuan, Haobo Jiang, Xiang Li +3
Image guidance is an effective strategy for depth super-resolution. Generally, most existing methods employ hand-crafted operators to decompose the high-frequency (HF) and low-freq…
Structure Flow-Guided Network for Real Depth Super-Resolution
Jiayi Yuan, Haobo Jiang, Xiang Li +3
Real depth super-resolution (DSR), unlike synthetic settings, is a challenging task due to the structural distortion and the edge noise caused by the natural degradation in real-wo…
Point Cloud Registration-Driven Robust Feature Matching for 3D Siamese Object Tracking
Haobo Jiang, Kaihao Lan, Le Hui +3
Learning robust feature matching between the template and search area is crucial for 3D Siamese tracking. The core of Siamese feature matching is how to assign high feature similar…
Generative Subgraph Contrast for Self-Supervised Graph Representation Learning
Yuehui Han, Le Hui, Haobo Jiang +2
Contrastive learning has shown great promise in the field of graph representation learning. By manually constructing positive/negative samples, most graph contrastive learning meth…
Unsupervised Visible-light Images Guided Cross-Spectrum Depth Estimation from Dual-Modality Cameras
Yubin Guo, Haobo Jiang, Xinlei Qi +3
Cross-spectrum depth estimation aims to provide a depth map in all illumination conditions with a pair of dual-spectrum images. It is valuable for autonomous vehicle applications w…
Action Candidate Driven Clipped Double Q-learning for Discrete and Continuous Action Tasks
Haobo Jiang, Jin Xie, Jian Yang
Double Q-learning is a popular reinforcement learning algorithm in Markov decision process (MDP) problems. Clipped Double Q-learning, as an effective variant of Double Q-learning,…
Reliable Inlier Evaluation for Unsupervised Point Cloud Registration
Yaqi Shen, Le Hui, Haobo Jiang +2
Unsupervised point cloud registration algorithm usually suffers from the unsatisfied registration precision in the partially overlapping problem due to the lack of effective inlier…
Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration
Haobo Jiang, Yaqi Shen, Jin Xie +3
In this paper, by modeling the point cloud registration task as a Markov decision process, we propose an end-to-end deep model embedded with the cross-entropy method (CEM) for unsu…
Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration
Haobo Jiang, Jin Xie, Jianjun Qian +1
Point cloud registration is a fundamental problem in 3D computer vision. In this paper, we cast point cloud registration into a planning problem in reinforcement learning, which ca…
Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks
Haobo Jiang, Jin Xie, Jian Yang
Double Q-learning is a popular reinforcement learning algorithm in Markov decision process (MDP) problems. Clipped Double Q-learning, as an effective variant of Double Q-learning,…