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06/14/2023
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation
Meta-learning methods typically follow a two-loop framework, where each ...
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03/04/2023
Fine-Grained Classification with Noisy Labels
Learning with noisy labels (LNL) aims to ensure model generalization giv...
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08/24/2022
Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization
Sample selection is an effective strategy to mitigate the effect of labe...
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01/14/2022
Imputing Missing Observations with Time Sliced Synthetic Minority Oversampling Technique
We present a simple yet novel time series imputation technique with the ...
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11/08/2021
Learning to Rectify for Robust Learning with Noisy Labels
Label noise significantly degrades the generalization ability of deep mo...
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12/01/2020
RaP-Net: A Region-wise and Point-wise Weighting Network to Extract Robust Keypoints for Indoor Localization
Image keypoint extraction is an important step for visual localization. ...
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08/12/2020
DXSLAM: A Robust and Efficient Visual SLAM System with Deep Features
A robust and efficient Simultaneous Localization and Mapping (SLAM) syst...
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06/24/2019
LMVP: Video Predictor with Leaked Motion Information
We propose a Leaked Motion Video Predictor (LMVP) to predict future fram...
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09/22/2018
DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments
Simultaneous Localization and Mapping (SLAM) is considered to be a funda...
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05/14/2018
Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks
Recently, Deep Learning (DL), especially Convolutional Neural Network (C...
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12/01/2017
InverseNet: Solving Inverse Problems with Splitting Networks
We propose a new method that uses deep learning techniques to solve the ...
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09/18/2017
A Fast Algorithm Based on a Sylvester-like Equation for LS Regression with GMRF Prior
This paper presents a fast approach for penalized least squares (LS) reg...
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09/06/2017
An inner-loop free solution to inverse problems using deep neural networks
We propose a new method that uses deep learning techniques to accelerate...
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09/20/2016
Robust Fusion of Multi-Band Images with Different Spatial and Spectral Resolutions for Change Detection
Archetypal scenarios for change detection generally consider two images ...
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09/20/2016
Detecting Changes Between Optical Images of Different Spatial and Spectral Resolutions: a Fusion-Based Approach
Change detection is one of the most challenging issues when analyzing re...
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04/14/2016
Unsupervised Nonlinear Spectral Unmixing based on a Multilinear Mixing Model
In the community of remote sensing, nonlinear mixing models have recentl...
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04/06/2016
R-FUSE: Robust Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation
This paper proposes a robust fast multi-band image fusion method to merg...
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03/29/2016
Multi-Band Image Fusion Based on Spectral Unmixing
This paper presents a multi-band image fusion algorithm based on unsuper...
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03/07/2016
A Real-Time and Energy-Efficient Implementation of Difference-of-Gaussian with Flexible Thin-Film Transistors
With many advantageous features, softness and better biocompatibility, f...
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05/07/2015
Fast Spectral Unmixing based on Dykstra's Alternating Projection
This paper presents a fast spectral unmixing algorithm based on Dykstra'...
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04/17/2015
Hyperspectral pansharpening: a review
Pansharpening aims at fusing a panchromatic image with a multispectral o...
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02/10/2015
Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation
This paper proposes a fast multi-band image fusion algorithm, which comb...
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09/19/2014
Hyperspectral and Multispectral Image Fusion based on a Sparse Representation
This paper presents a variational based approach to fusing hyperspectral...
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08/11/2014
Physical Computing With No Clock to Implement the Gaussian Pyramid of SIFT Algorithm
Physical computing is a technology utilizing the nature of electronic de...
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07/23/2013
Bayesian Fusion of Multi-Band Images
In this paper, a Bayesian fusion technique for remotely sensed multi-ban...
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05/21/2012
