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Deforming the Loss Surface to Affect the Behaviour of the Optimizer
In deep learning, it is usually assumed that the optimization process is...
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Blind Motion Deblurring with Cycle Generative Adversarial Networks
Blind motion deblurring is one of the most basic and challenging problem...
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Topic-aware chatbot using Recurrent Neural Networks and Nonnegative Matrix Factorization
We propose a novel model for a topic-aware chatbot by combining the trad...
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Attention-based Residual Speech Portrait Model for Speech to Face Generation
Given a speaker's speech, it is interesting to see if it is possible to ...
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A Hierarchical Conditional Random Field-based Attention Mechanism Approach for Gastric Histopathology Image Classification
In the Gastric Histopathology Image Classification (GHIC) tasks, which i...
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BiCANet: Bi-directional Contextual Aggregating Network for Image Semantic Segmentation
Exploring contextual information in convolution neural networks (CNNs) h...
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Person Re-Identification via Active Hard Sample Mining
Annotating a large-scale image dataset is very tedious, yet necessary fo...
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SFANet: A Spectrum-aware Feature Augmentation Network for Visible-Infrared Person Re-Identification
Visible-Infrared person re-identification (VI-ReID) is a challenging mat...
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Boosting ship detection in SAR images with complementary pretraining techniques
Deep learning methods have made significant progress in ship detection i...
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BIT: Biologically Inspired Tracker
Visual tracking is challenging due to image variations caused by various...
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Cross-View Image Synthesis with Deformable Convolution and Attention Mechanism
Learning to generate natural scenes has always been a daunting task in c...
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AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
This paper introduces the real image Super-Resolution (SR) challenge tha...
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Efficient Use of heuristics for accelerating XCS-based Policy Learning in Markov Games
In Markov games, playing against non-stationary opponents with learning ...
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The Direction-Aware, Learnable, Additive Kernels and the Adversarial Network for Deep Floor Plan Recognition
This paper presents a new approach for the recognition of elements in fl...
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Study of Diffusion Normalized Least Mean M-estimate Algorithms
This work proposes diffusion normalized least mean M-estimate algorithm ...
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TEAM: We Need More Powerful Adversarial Examples for DNNs
Although deep neural networks (DNNs) have achieved success in many appli...
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Multi-Adapter RGBT Tracking
The task of RGBT tracking aims to take the complementary advantages from...
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Blind Inverse Gamma Correction with Maximized Differential Entropy
Unwanted nonlinear gamma distortion frequently occurs in a great diversi...
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Bi-GANs-ST for Perceptual Image Super-resolution
Image quality measurement is a critical problem for image super-resoluti...
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Joint learning of interpretation and distillation
The extra trust brought by the model interpretation has made it an indis...
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High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling
Existing image inpainting methods often produce artifacts when dealing w...
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AIM 2019 Challenge on Video Temporal Super-Resolution: Methods and Results
Videos contain various types and strengths of motions that may look unna...
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Evaluation of trackers for Pan-Tilt-Zoom Scenarios
Tracking with a Pan-Tilt-Zoom (PTZ) camera has been a research topic in ...
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Optimal Vehicle Dispatching Schemes via Dynamic Pricing
Recently, shared mobility has been proven to be an effective way to reli...
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Deep Learning-Based Food Calorie Estimation Method in Dietary Assessment
Obesity treatment requires obese patients to record all food intakes per...
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Manifold Regularized Slow Feature Analysis for Dynamic Texture Recognition
Dynamic textures exist in various forms, e.g., fire, smoke, and traffic ...
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Deep Joint Face Hallucination and Recognition
Deep models have achieved impressive performance for face hallucination ...
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Appearance Harmonization for Single Image Shadow Removal
Shadows often create unwanted artifacts in photographs, and removing the...
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Wavelet Frame Based Image Restoration Using Sparsity, Nonlocal and Support Prior of Frame Coefficients
The wavelet frame systems have been widely investigated and applied for ...
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Cryptanalysis of a Chaotic Image Encryption Algorithm Based on Information Entropy
Recently, a chaotic image encryption algorithm based on information entr...
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Prediction-Based Fast Thermoelectric Generator Reconfiguration for Energy Harvesting from Vehicle Radiators
Thermoelectric generation (TEG) has increasingly drawn attention for bei...
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Secrecy Outage Analysis of Mixed RF-FSO Downlink SWIPT Systems
We analyze a secure dual-hop mixed radio frequency-free space optical (R...
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Conformal Mesh Parameterization Using Discrete Calabi Flow
In this paper, we introduce discrete Calabi flow to the graphics researc...
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The Normal Map Based on Area-Preserving Parameterization
In this paper, we present an approach to enhance and improve the current...
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On Secure Mixed RF-FSO Systems With TAS and Imperfect CSI
In this work, we analyze the secrecy outage performance of a dual-hop re...
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Long Short-Term Attention
In order to learn effective features from temporal sequences, the long s...
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Secrecy Outage Analysis for Cooperative NOMA Systems with Relay Selection Scheme
This paper considers the secrecy outage performance of a multiple-relay ...
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Generic constructions of 5-valued spectra Boolean functions
Whereas the design and properties of bent and plateaued functions have b...
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Secure UAV Communication with Cooperative Jamming and Trajectory Control
This paper presents a new cooperative jamming approach to secure the unm...
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Representation Learning for Heterogeneous Information Networks via Embedding Events
Network representation learning (NRL) has been widely used to help analy...
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Predicting Academic Performance for College Students: A Campus Behavior Perspective
Detecting abnormal behaviors of students in time and providing personali...
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Thinkey: A Scalable Blockchain Architecture
This paper presents Thinkey, an efficient, secure, infinitely scalable a...
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Face De-occlusion using 3D Morphable Model and Generative Adversarial Network
In recent decades, 3D morphable model (3DMM) has been commonly used in i...
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A Combinatorial Algorithm for the Multi-commodity Flow Problem
This paper researches combinatorial algorithms for the multi-commodity f...
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3D Trajectory Optimization for Secure UAV Communication with CoMP Reception
This paper studies a secrecy unmanned aerial vehicle (UAV) communication...
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AI-Skin : Skin Disease Recognition based on Self-learning and Wide Data Collection through a Closed Loop Framework
There are a lot of hidden dangers in the change of human skin conditions...
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Lidar-based Object Classification with Explicit Occlusion Modeling
LIDAR is one of the most important sensors for Unmanned Ground Vehicles ...
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Optimal mechanisms with budget for user generated contents
In this paper, we design gross product maximization mechanisms which inc...
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A filtered Boris algorithm for charged-particle dynamics in a strong magnetic field
A modification of the standard Boris algorithm, called filtered Boris al...
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Heterogeneous Graph Convolutional Networks for Temporal Community Detection
The Graph Convolutional Networks (GCN) has demonstrated superior perform...
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