activity
20182020
most cited3D Point Cloud Denoising using Graph Laplacian Regularization of a Low Dimensional Manifold Model

17 citations · 26 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2020★ 1 cited

Towards Geometry Guided Neural Relighting with Flash Photography

Di Qiu, Jin Zeng, Zhanghan Ke +2

Previous image based relighting methods require capturing multiple images to acquire high frequency lighting effect under different lighting conditions, which needs nontrivial effo…

cs.CV2019★ 4 cited

Deep Surface Normal Estimation with Hierarchical RGB-D Fusion

Jin Zeng, Yanfeng Tong, Yunmu Huang +4

The growing availability of commodity RGB-D cameras has boosted the applications in the field of scene understanding. However, as a fundamental scene understanding task, surface no…

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★ 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…