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20212025
most citedSingle-shot fringe projection profilometry based on Deep Learning and Computer Graphics

99 citations · 112 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

Intrinsic-feature-guided 3D Object Detection

Wanjing Zhang, Chenxing Wang

LiDAR-based 3D object detection is essential for autonomous driving systems. However, LiDAR point clouds may appear to have sparsity, uneven distribution, and incomplete structures…

cs.CV2025

Detail-aware multi-view stereo network for depth estimation

Haitao Tian, Junyang Li, Chenxing Wang +1

Multi-view stereo methods have achieved great success for depth estimation based on the coarse-to-fine depth learning frameworks, however, the existing methods perform poorly in re…

eess.IV2024

Calibration of 3D Single-pixel Imaging Systems with a Calibration Field

Xinyue Ma, Chenxing Wang

3D single-pixel imaging (SPI) is a promising imaging technique that can be ffexibly applied to various wavebands. The main challenge in 3D SPI is that the calibration usually requi…

cs.CV2024

Kinematics-based 3D Human-Object Interaction Reconstruction from Single View

Yuhang Chen, Chenxing Wang

Reconstructing 3D human-object interaction (HOI) from single-view RGB images is challenging due to the absence of depth information and potential occlusions. Existing methods simpl…

eess.IV2022★ 13 cited

3D Single-pixel imaging with active sampling patterns and learning based reconstruction

Xinyue Ma, Chenxing Wang

Single-pixel imaging (SPI) is significant for applications constrained by transmission bandwidth or lighting band, where 3D SPI can be further realized through capturing signals ca…

eess.IV2021★ 99 cited

Single-shot fringe projection profilometry based on Deep Learning and Computer Graphics

Fanzhou Wang, Chenxing Wang, Qingze Guan

Multiple works have applied deep learning to fringe projection profilometry (FPP) in recent years. However, to obtain a large amount of data from actual systems for training is sti…