activity
20102020
most citedSparse and Low-Rank Matrix Decomposition for Automatic Target Detection in Hyperspectral Imagery

75 citations · 213 across the 20 of their papers we have counts for

collaborators

21 papers

cs.CV2020

Estimation of Camera Response Function using Prediction Consistency and Gradual Refinement with an Extension to Deep Learning

Aashish Sharma, Robby T. Tan, Loong-Fah Cheong

Most existing methods for CRF estimation from a single image fail to handle general real images. For instance, EdgeCRF based on colour patches extracted from edges works effectivel…

cs.CV2019

Nighttime Stereo Depth Estimation using Joint Translation-Stereo Learning: Light Effects and Uninformative Regions

Aashish Sharma, Lionel Heng, Loong-Fah Cheong +1

Nighttime stereo depth estimation is still challenging, as assumptions associated with daytime lighting conditions do not hold any longer. Nighttime is not only about low-light and…

cs.CV2019★ 45 cited

3D Rigid Motion Segmentation with Mixed and Unknown Number of Models

Xun Xu, Loong-Fah Cheong, Zhuwen Li

Many real-world video sequences cannot be conveniently categorized as general or degenerate; in such cases, imposing a false dichotomy in using the fundamental matrix or homography…

cs.CV2019★ 4 cited

Degeneracy in Self-Calibration Revisited and a Deep Learning Solution for Uncalibrated SLAM

Bingbing Zhuang, Quoc-Huy Tran, Pan Ji +3

Self-calibration of camera intrinsics and radial distortion has a long history of research in the computer vision community. However, it remains rare to see real applications of su…

cs.CV2019★ 3 cited

Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning

Ruotent Li, Loong Fah Cheong, Robby T. Tan

Most deraining works focus on rain streaks removal but they cannot deal adequately with heavy rain images. In heavy rain, streaks are strongly visible, dense rain accumulation or r…

cs.CV2019

Learning for Multi-Type Subspace Clustering

Xun Xu, Loong-Fah Cheong, Zhuwen Li

Subspace clustering has been extensively studied from the hypothesis-and-test, algebraic, and spectral clustering based perspectives. Most assume that only a single type/class of s…