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20232026
most citedPointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer

35 citations · 51 across the 13 of their papers we have counts for

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5 papers · 1 filter

cs.CV2024

PRFusion: Toward Effective and Robust Multi-Modal Place Recognition with Image and Point Cloud Fusion

Sijie Wang, Qiyu Kang, Rui She +3

Place recognition plays a crucial role in the fields of robotics and computer vision, finding applications in areas such as autonomous driving, mapping, and localization. Place rec…

cs.CV202435 cited

PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer

Rui She, Qiyu Kang, Sijie Wang +7

Point cloud registration is a fundamental technique in 3-D computer vision with applications in graphics, autonomous driving, and robotics. However, registration tasks under challe…

cs.CV20247 cited

PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations

Rui She, Sijie Wang, Qiyu Kang +5

Point cloud registration is a crucial technique in 3D computer vision with a wide range of applications. However, this task can be challenging, particularly in large fields of view…

cs.CV2023

DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition

Sijie Wang, Rui She, Qiyu Kang +4

The utilization of multi-modal sensor data in visual place recognition (VPR) has demonstrated enhanced performance compared to single-modal counterparts. Nonetheless, integrating a…

cs.CV2023

RobustMat: Neural Diffusion for Street Landmark Patch Matching under Challenging Environments

Rui She, Qiyu Kang, Sijie Wang +4

For autonomous vehicles (AVs), visual perception techniques based on sensors like cameras play crucial roles in information acquisition and processing. In various computer percepti…