no code implementations • 8 Oct 2020 • Aashish Sharma, Robby T. Tan, Loong-Fah Cheong
Second, we employ a gradual refinement scheme in which we start from a simple CRF model to generate a result which is more robust to noise but less accurate, and then we gradually increase the model's complexity to improve the result.
2 code implementations • 30 Sep 2019 • Aashish Sharma, Lionel Heng, Loong-Fah Cheong, Robby T. Tan
To address the problem, we introduce a network joining day/night translation and stereo.
no code implementations • 16 Aug 2019 • 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 model for motion segmentation on video sequences would lead to difficulty.
no code implementations • 14 Apr 2019 • Ahmad W. Bitar, Jean-Philippe Ovarlez, Loong-Fah Cheong, Ali Chehab
The sparse component is directly used for the detection, that is, the targets are simply detected at the non-zero entries of the sparse target HSI.
1 code implementation • 3 Apr 2019 • Xun Xu, Loong-Fah Cheong, Zhuwen Li
Subspace clustering has been extensively studied from the hypothesis-and-test, algebraic, and spectral clustering based perspectives.
no code implementations • ICCV 2017 • Bingbing Zhuang, Loong-Fah Cheong, Gim Hee Lee
We demonstrate that the dense depth maps recovered from the relative pose of the RS camera can be used in a RS-aware warping for image rectification to recover high-quality Global Shutter (GS) images.
no code implementations • 29 Jan 2019 • Xun Xu, Loong-Fah Cheong, Zhuwen Li
Multi-model fitting has been extensively studied from the random sampling and clustering perspectives.
no code implementations • CVPR 2018 • Bingbing Zhuang, Loong-Fah Cheong, Gim Hee Lee
Many existing translation averaging algorithms are either sensitive to disparate camera baselines and have to rely on extensive preprocessing to improve the observed Epipolar Geometry graph, or if they are robust against disparate camera baselines, require complicated optimization to minimize the highly nonlinear angular error objective.
no code implementations • ECCV 2018 • Ruoteng Li, Robby T. Tan, Loong-Fah Cheong
Optical flow estimation in rainy scenes is challenging due to degradation caused by rain streaks and rain accumulation, where the latter refers to the poor visibility of remote scenes due to intense rainfall.
no code implementations • ECCV 2018 • Aashish Sharma, Loong-Fah Cheong
We present a joint Structure-Stereo optimization model that is robust for disparity estimation under low-light conditions.
no code implementations • 16 Aug 2018 • Ahmad W. Bitar, Loong-Fah Cheong, Jean-Philippe Ovarlez
In this paper, we propose a method for separating known targets of interests from the background in hyperspectral imagery.
Image and Video Processing Signal Processing
1 code implementation • CVPR 2018 • Xun Xu, Loong-Fah Cheong, Zhuwen Li
Many real-world sequences cannot be conveniently categorized as general or degenerate; in such cases, imposing a false dichotomy in using the fundamental matrix or homography model for motion segmentation would lead to difficulty.
Ranked #1 on Motion Segmentation on KT3DMoSeg
no code implementations • 19 Dec 2017 • 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.
no code implementations • 24 Nov 2017 • 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.
1 code implementation • 30 Aug 2017 • An Tran, Loong-Fah Cheong
This paper proposes a two-stream flow-guided convolutional attention networks for action recognition in videos.
Action Recognition In Videos Temporal Action Localization +1
no code implementations • CVPR 2017 • Kaimo Lin, Nianjuan Jiang, Shuaicheng Liu, Loong-Fah Cheong, Minh Do, Jiangbo Lu
The choice of motion models is vital in applications like image/video stitching and video stabilization.
no code implementations • 18 Apr 2017 • Ruoteng Li, Robby T. Tan, Loong-Fah Cheong
To handle rain accumulation, our method decomposes the image into a piecewise-smooth background layer and a high-frequency detail layer.
no code implementations • CVPR 2016 • Zhuwen Li, Shuoguang Yang, Loong-Fah Cheong, Kim-Chuan Toh
Estimating the number of clusters remains a difficult model selection problem.
no code implementations • ICCV 2015 • Ye Luo, Loong-Fah Cheong, An Tran
We elicit from a fundamental definition of action low-level attributes that can reveal agency and intentionality.
no code implementations • CVPR 2015 • Zhuwen Li, Ping Tan, Robby T. Tan, Danping Zou, Steven Zhiying Zhou, Loong-Fah Cheong
We present a method to jointly estimate scene depth and recover the clear latent image from a foggy video sequence.
no code implementations • CVPR 2014 • Zhuwen Li, Loong-Fah Cheong, Steven Zhiying Zhou
While clustering has been well studied in the past decade, model selection has drawn less attention.
no code implementations • 6 Sep 2013 • Yu-Xiang Wang, Choon Meng Lee, Loong-Fah Cheong, Kim-Chuan Toh
Low-rank matrix completion is a problem of immense practical importance.