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20162023
most citedGraph Laplacian Regularization for Image Denoising: Analysis in the Continuous Domain

271 citations · 499 across the 17 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.CV2018★ 1 cited

DSR: Direct Self-rectification for Uncalibrated Dual-lens Cameras

Ruichao Xiao, Wenxiu Sun, Jiahao Pang +2

With the developments of dual-lens camera modules,depth information representing the third dimension of thecaptured scenes becomes available for smartphones. It isestimated by ster…

cs.CV2018

Deep Graph Laplacian Regularization for Robust Denoising of Real Images

Jin Zeng, Jiahao Pang, Wenxiu Sun +1

Recent developments in deep learning have revolutionized the paradigm of image restoration. However, its applications on real image denoising are still limited, due to its sensitiv…

cs.CV2018★ 4 cited

Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains

Jiahao Pang, Wenxiu Sun, Chengxi Yang +4

Despite the recent success of stereo matching with convolutional neural networks (CNNs), it remains arduous to generalize a pre-trained deep stereo model to a novel domain. A major…

cs.CV2018★ 15 cited

Single View Stereo Matching

Yue Luo, Jimmy Ren, Mude Lin +4

Previous monocular depth estimation methods take a single view and directly regress the expected results. Though recent advances are made by applying geometrically inspired loss fu…

cs.CV2018★ 17 cited

3D Point Cloud Denoising using Graph Laplacian Regularization of a Low Dimensional Manifold Model

Jin Zeng, Gene Cheung, Michael Ng +2

3D point cloud - a new signal representation of volumetric objects - is a discrete collection of triples marking exterior object surface locations in 3D space. Conventional imperfe…