75 citations · 213 across the 20 of their papers we have counts for
5 papers · 1 filter
Single Image Deraining using Scale-Aware Multi-Stage Recurrent Network
Ruoteng Li, Loong-Fah Cheong, Robby T. Tan
Given a single input rainy image, our goal is to visually remove rain streaks and the veiling effect caused by scattering and transmission of rain streaks and rain droplets. We are…
Sparsity-based Cholesky Factorization and its Application to Hyperspectral Anomaly Detection
Ahmad W. Bitar, Jean-Philippe Ovarlez, Loong-Fah Cheong
Estimating large covariance matrices has been a longstanding important problem in many applications and has attracted increased attention over several decades. This paper deals wit…
Sparse and Low-Rank Matrix Decomposition for Automatic Target Detection in Hyperspectral Imagery
Ahmad W. Bitar, Loong-Fah Cheong, Jean-Philippe Ovarlez
Given a target prior information, our goal is to propose a method for automatically separating targets of interests from the background in hyperspectral imagery. More precisely, we…
Two-stream Flow-guided Convolutional Attention Networks for Action Recognition
An Tran, Loong-Fah Cheong
This paper proposes a two-stream flow-guided convolutional attention networks for action recognition in videos. The central idea is that optical flows, when properly compensated fo…
Robust Optical Flow Estimation in Rainy Scenes
Ruoteng Li, Robby T. Tan, Loong-Fah Cheong
Optical flow estimation in the rainy scenes is challenging due to background degradation introduced by rain streaks and rain accumulation effects in the scene. Rain accumulation ef…