Search Results for author: Shang Xu

Found 6 papers, 3 papers with code

HCPM: Hierarchical Candidates Pruning for Efficient Detector-Free Matching

no code implementations19 Mar 2024 Ying Chen, Yong liu, Kai Wu, Qiang Nie, Shang Xu, Huifang Ma, Bing Wang, Chengjie Wang

Deep learning-based image matching methods play a crucial role in computer vision, yet they often suffer from substantial computational demands.

FusionDepth: Complement Self-Supervised Monocular Depth Estimation with Cost Volume

no code implementations10 May 2023 Zhuofei Huang, Jianlin Liu, Shang Xu, Ying Chen, Yong liu

Multi-view stereo depth estimation based on cost volume usually works better than self-supervised monocular depth estimation except for moving objects and low-textured surfaces.

Monocular Depth Estimation Stereo Depth Estimation

Adaptive Assignment for Geometry Aware Local Feature Matching

1 code implementation CVPR 2023 Dihe Huang, Ying Chen, Shang Xu, Yong liu, Wenlong Wu, Yikang Ding, Chengjie Wang, Fan Tang

The detector-free feature matching approaches are currently attracting great attention thanks to their excellent performance.

Feature Correlation

UniInst: Unique Representation for End-to-End Instance Segmentation

1 code implementation25 May 2022 Yimin Ou, Rui Yang, Lufan Ma, Yong liu, Jiangpeng Yan, Shang Xu, Chengjie Wang, Xiu Li

Existing instance segmentation methods have achieved impressive performance but still suffer from a common dilemma: redundant representations (e. g., multiple boxes, grids, and anchor points) are inferred for one instance, which leads to multiple duplicated predictions.

Instance Segmentation Re-Ranking +2

Guide Local Feature Matching by Overlap Estimation

1 code implementation18 Feb 2022 Ying Chen, Dihe Huang, Shang Xu, Jianlin Liu, Yong liu

Local image feature matching under large appearance, viewpoint, and distance changes is challenging yet important.

Feature Correlation

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