Search Results for author: Loong-Fah Cheong

Found 22 papers, 4 papers with code

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

no code implementations8 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.

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

no code implementations16 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.

Model Selection Motion Segmentation

Automatic Target Detection for Sparse Hyperspectral Images

no code implementations14 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.

Learning for Multi-Type Subspace Clustering

1 code implementation3 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.

Rolling-Shutter-Aware Differential SfM and Image Rectification

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.

3D Reconstruction Optical Flow Estimation +1

Learning for Multi-Model and Multi-Type Fitting

no code implementations29 Jan 2019 Xun Xu, Loong-Fah Cheong, Zhuwen Li

Multi-model fitting has been extensively studied from the random sampling and clustering perspectives.

Model Selection

Baseline Desensitizing In Translation Averaging

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.

Translation

Into the Twilight Zone: Depth Estimation using Joint Structure-Stereo Optimization

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.

Denoising Depth Estimation +3

Robust Optical Flow in Rainy Scenes

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.

Optical Flow Estimation

Target And Background Separation in Hyperspectral Imagery for Automatic Target Detection

no code implementations16 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

Motion Segmentation by Exploiting Complementary Geometric Models

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.

Motion Segmentation

Single Image Deraining using Scale-Aware Multi-Stage Recurrent Network

no code implementations19 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.

Single Image Deraining

Sparse and Low-Rank Matrix Decomposition for Automatic Target Detection in Hyperspectral Imagery

no code implementations24 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.

Two-stream Flow-guided Convolutional Attention Networks for Action Recognition

1 code implementation30 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 Action Recognition In Videos +1

Robust Optical Flow Estimation in Rainy Scenes

no code implementations18 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.

Optical Flow Estimation

Actionness-Assisted Recognition of Actions

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.

Action Detection Action Recognition

SCAMS: Simultaneous Clustering and Model Selection

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.

Model Selection

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