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Deep Learning for Community Detection: Progress, Challenges and Opportunities
As communities represent similar opinions, similar functions, similar pu...
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Self-supervised Training of Graph Convolutional Networks
Graph Convolutional Networks (GCNs) have been successfully applied to an...
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RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal
Residual images and illumination estimation have been proved very helpfu...
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Deep Generative Learning via Variational Gradient Flow
We propose a general framework to learn deep generative models via Varia...
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Deep Reinforcement Learning (DRL): Another Perspective for Unsupervised Wireless Localization
Location is key to spatialize internet-of-things (IoT) data. However, it...
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S^2OMGAN: Shortcut from Remote Sensing Images to Online Maps
Traditional online maps, widely used on Internet such as Google map and ...
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Unsupervised Change Detection in Multi-temporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network
With the development of Earth observation technology, very-high-resoluti...
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Read Beyond the Lines: Understanding the Implied Textual Meaning via a Skim and Intensive Reading Model
The nonliteral interpretation of a text is hard to be understood by mach...
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Joint Hand-object 3D Reconstruction from a Single Image with Cross-branch Feature Fusion
Accurate 3D reconstruction of the hand and object shape from a hand-obje...
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Deep Learning Based Gait Recognition Using Smartphones in the Wild
Comparing with other biometrics, gait has advantages of being unobtrusiv...
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Zero-Assignment Constraint for Graph Matching with Outliers
Graph matching (GM), as a longstanding problem in computer vision and pa...
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Multi-Temporal Scene Classification and Scene Change Detection with Correlation based Fusion
Classifying multi-temporal scene land-use categories and detecting their...
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M^3VSNet: Unsupervised Multi-metric Multi-view Stereo Network
The present MVS methods with deep learning have an impressive performanc...
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advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns
Person re-identification (re-ID) is the task of matching person images a...
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LIP: Learning Instance Propagation for Video Object Segmentation
In recent years, the task of segmenting foreground objects from backgrou...
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Semantic Change Pattern Analysis
Change detection is an important problem in vision field, especially for...
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Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach
Few-shot learning is a challenging problem that has attracted more and m...
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Robust and Discriminative Labeling for Multi-label Active Learning Based on Maximum Correntropy Criterion
Multi-label learning draws great interests in many real world applicatio...
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Learning to Calibrate Straight Lines for Fisheye Image Rectification
This paper presents a new deep-learning based method to simultaneously c...
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Multiple Combined Constraints for Image Stitching
Several approaches to image stitching use different constraints to estim...
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NTIRE 2020 Challenge on Image and Video Deblurring
Motion blur is one of the most common degradation artifacts in dynamic s...
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Frequency Principle in Deep Learning Beyond Gradient-descent-based Training
Frequency perspective recently makes progress in understanding deep lear...
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Deep Siamese Multi-scale Convolutional Network for Change Detection in Multi-temporal VHR Images
Very high resolution (VHR) images provide abundant ground details and sp...
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DymSLAM:4D Dynamic Scene Reconstruction Based on Geometrical Motion Segmentation
Most SLAM algorithms are based on the assumption that the scene is stati...
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NPF-MVSNet: Normal and Pyramid Feature Aided Unsupervised MVS Network
We proposed an unsupervised learning-based network, named NPF-MVSNet, fo...
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Perceptual Generative Autoencoders
Modern generative models are usually designed to match target distributi...
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DSDANet: Deep Siamese Domain Adaptation Convolutional Neural Network for Cross-domain Change Detection
Change detection (CD) is one of the most vital applications in remote se...
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Align Deep Features for Oriented Object Detection
The past decade has witnessed significant progress on detecting objects ...
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Unsupervised Domain Adaptive Re-Identification: Theory and Practice
We study the problem of unsupervised domain adaptive re-identification (...
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The UAVid Dataset for Video Semantic Segmentation
Video semantic segmentation has been one of the research focus in comput...
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CRNet: Image Super-Resolution Using A Convolutional Sparse Coding Inspired Network
Convolutional Sparse Coding (CSC) has been attracting more and more atte...
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Holistically-Attracted Wireframe Parsing
This paper presents a fast and parsimonious parsing method to accurately...
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Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network
We propose a deep bilinear model for blind image quality assessment (BIQ...
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Enhancing Underexposed Photos using Perceptually Bidirectional Similarity
This paper addresses the problem of enhancing underexposed photos. Exist...
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ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal
In this paper we propose an attentive recurrent generative adversarial n...
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Adaptively Transforming Graph Matching
Recently, many graph matching methods that incorporate pairwise constrai...
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Dating Ancient Paintings of Mogao Grottoes Using Deeply Learnt Visual Codes
Cultural heritage is the asset of all the peoples of the world. The pres...
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IRS: A Large Synthetic Indoor Robotics Stereo Dataset for Disparity and Surface Normal Estimation
Indoor robotics localization, navigation and interaction heavily rely on...
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Deep Siamese Domain Adaptation Convolutional Neural Network for Cross-domain Change Detection in Multispectral Images
Recently, deep learning has achieved promising performance in the change...
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FPCNet: Fast Pavement Crack Detection Network Based on Encoder-Decoder Architecture
Timely, accurate and automatic detection of pavement cracks is necessary...
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Designing and Training of A Dual CNN for Image Denoising
Deep convolutional neural networks (CNNs) for image denoising have recen...
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Deformable spatial propagation network for depth completion
Depth completion has attracted extensive attention recently due to the d...
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DOTA: A Large-scale Dataset for Object Detection in Aerial Images
Object detection is an important and challenging problem in computer vis...
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A Geometric View of Optimal Transportation and Generative Model
In this work, we show the intrinsic relations between optimal transporta...
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Sparse Weighted Canonical Correlation Analysis
Given two data matrices X and Y, sparse canonical correlation analysis (...
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Deep learning in remote sensing: a review
Standing at the paradigm shift towards data-intensive science, machine l...
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Inferring Gene Regulatory Network Using An Evolutionary Multi-Objective Method
Inference of gene regulatory networks (GRNs) based on experimental data ...
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Exploiting Deep Features for Remote Sensing Image Retrieval: A Systematic Investigation
Remote sensing (RS) image retrieval based on visual content is of great ...
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Aggregating Frame-level Features for Large-Scale Video Classification
This paper introduces the system we developed for the Google Cloud & You...
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Learning to Refine Object Contours with a Top-Down Fully Convolutional Encoder-Decoder Network
We develop a novel deep contour detection algorithm with a top-down full...
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