activity
20172022
most citedIterative Poisson Surface Reconstruction (iPSR) for Unoriented Points

83 citations · 120 across the 10 of their papers we have counts for

collaborators

15 papers

cs.GR202283 cited

Iterative Poisson Surface Reconstruction (iPSR) for Unoriented Points

Fei Hou, Chiyu Wang, Wencheng Wang +3

Poisson surface reconstruction (PSR) remains a popular technique for reconstructing watertight surfaces from 3D point samples thanks to its efficiency, simplicity, and robustness.…

cs.CV2020

Rethinking of the Image Salient Object Detection: Object-level Semantic Saliency Re-ranking First, Pixel-wise Saliency Refinement Latter

Zhenyu Wu, Shuai Li, Chenglizhao Chen +2

The real human attention is an interactive activity between our visual system and our brain, using both low-level visual stimulus and high-level semantic information. Previous imag…

cs.CV2020

Data-Level Recombination and Lightweight Fusion Scheme for RGB-D Salient Object Detection

Xuehao Wang, Shuai Li, Chenglizhao Chen +3

Existing RGB-D salient object detection methods treat depth information as an independent component to complement its RGB part, and widely follow the bi-stream parallel network arc…

cs.CV20203 cited

Full Reference Screen Content Image Quality Assessment by Fusing Multi-level Structure Similarity

Chenglizhao Chen, Hongmeng Zhao, Huan Yang +2

The screen content images (SCIs) usually comprise various content types with sharp edges, in which the artifacts or distortions can be well sensed by the vanilla structure similari…

cs.CV2020

Depth Quality Aware Salient Object Detection

Chenglizhao Chen, Jipeng Wei, Chong Peng +1

The existing fusion based RGB-D salient object detection methods usually adopt the bi-stream structure to strike the fusion trade-off between RGB and depth (D). The D quality usual…

cs.CV2020

Recursive Multi-model Complementary Deep Fusion forRobust Salient Object Detection via Parallel Sub Networks

Zhenyu Wu, Shuai Li, Chenglizhao Chen +2

Fully convolutional networks have shown outstanding performance in the salient object detection (SOD) field. The state-of-the-art (SOTA) methods have a tendency to become deeper an…