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10/08/2020
Single-Image Camera Response Function Using Prediction Consistency and Gradual Refinement
A few methods have been proposed to estimate the CRF from a single image...
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09/30/2019
Depth Estimation in Nighttime using Stereo-Consistent Cyclic Translations
Most existing methods of depth from stereo are designed for daytime scen...
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08/16/2019
3D Rigid Motion Segmentation with Mixed and Unknown Number of Models
Many real-world video sequences cannot be conveniently categorized as ge...
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07/30/2019
Degeneracy in Self-Calibration Revisited and a Deep Learning Solution for Uncalibrated SLAM
Self-calibration of camera intrinsics and radial distortion has a long h...
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04/14/2019
Automatic Target Detection for Sparse Hyperspectral Images
This chapter introduces a novel target detector for hyperspectral imager...
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04/10/2019
Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning
Most deraining works focus on rain streaks removal but they cannot deal ...
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04/03/2019
Learning for Multi-Type Subspace Clustering
Subspace clustering has been extensively studied from the hypothesis-and...
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03/10/2019
Rolling-Shutter-Aware Differential SfM and Image Rectification
In this paper, we develop a modified differential Structure from Motion ...
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03/06/2019
Robust Video Background Identification by Dominant Rigid Motion Estimation
The ability to identify the static background in videos captured by a mo...
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01/29/2019
Learning for Multi-Model and Multi-Type Fitting
Multi-model fitting has been extensively studied from the random samplin...
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01/03/2019
Baseline Desensitizing In Translation Averaging
Many existing translation averaging algorithms are either sensitive to d...
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04/06/2018
Motion Segmentation by Exploiting Complementary Geometric Models
Many real-world sequences cannot be conveniently categorized as general ...
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12/19/2017
Single Image Deraining using Scale-Aware Multi-Stage Recurrent Network
Given a single input rainy image, our goal is to visually remove rain st...
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11/24/2017
Sparse and Low-Rank Decomposition for Automatic Target Detection in Hyperspectral Imagery
Given a target prior information, our goal is to propose a method for au...
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11/22/2017
Sparsity-based Cholesky Factorization and its Application to Hyperspectral Anomaly Detection
Estimating large covariance matrices has been a longstanding important p...
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09/06/2013
Practical Matrix Completion and Corruption Recovery using Proximal Alternating Robust Subspace Minimization
Low-rank matrix completion is a problem of immense practical importance....
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10/27/2010
Selective Image Super-Resolution
In this paper we propose a vision system that performs image Super Resol...
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09/20/2010