
Domain Knowledge Based Brain Tumor Segmentation and Overall Survival Prediction
Automatically segmenting subregions of gliomas (necrosis, edema and enh...
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Single Image Deraining: From ModelBased to DataDriven and Beyond
Rain removal or deraining methods attempt to restore the clean backgroun...
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A Comprehensive Study and Comparison of Core Technologies for MPEG 3D Point Cloud Compression
Point cloud based 3D visual representation is becoming popular due to it...
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An Underwater Image Enhancement Benchmark Dataset and Beyond
Underwater image enhancement has been attracting much attention due to i...
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Controllable Listwise Ranking for Universal Noreference Image Quality Assessment
Noreference image quality assessment (NRIQA) has received increasing a...
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OpenLORISObject: A Dataset and Benchmark towards Lifelong Object Recognition
The recent breakthroughs in computer vision have benefited from the avai...
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HaarPooling: Graph Pooling with Compressive Haar Basis
Deep Graph Neural Networks (GNNs) are instrumental in graph classificati...
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Spatial and Temporal ConsistencyAware Dynamic Adaptive Streaming for 360Degree Videos
The 360degree video allows users to enjoy the whole scene by interactiv...
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Towards Understanding the Spectral Bias of Deep Learning
An intriguing phenomenon observed during training neural networks is the...
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Dynamic Spectral Residual Superpixels
We consider the problem of segmenting an image into superpixels in the c...
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SketchDesc: Learning Local Sketch Descriptors for Multiview Correspondence
In this paper, we study the problem of multiview sketch correspondence,...
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Learning Shared Semantic Space with Correlation Alignment for Crossmodal Event Retrieval
In this paper, we propose to learn shared semantic space with correlatio...
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Nested Network with TwoStream Pyramid for Salient Object Detection in Optical Remote Sensing Images
Arising from the various object types and scales, diverse imaging orient...
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Safe Navigation with Human Instructions in Complex Scenes
In this paper, we present a robotic navigation algorithm with natural la...
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Fixedtime consensus of multiple doubleintegrator systems under directed topologies: A motionplanning approach
This paper investigates the fixedtime consensus problem under directed ...
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Towards Optimally Decentralized MultiRobot Collision Avoidance via Deep Reinforcement Learning
Developing a safe and efficient collision avoidance policy for multiple ...
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A Simple Yet Efficient Rank One Update for Covariance Matrix Adaptation
In this paper, we propose an efficient approximated rank one update for ...
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EBGLS: An Improved Guided Local Search Based on the Big Valley Structure
Local search is a basic building block in memetic algorithms. Guided Loc...
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Egocentric Hand Detection Via Dynamic Region Growing
Egocentric videos, which mainly record the activities carried out by the...
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Ranking and Selection with Covariates for Personalized Decision Making
We consider a ranking and selection problem in the context of personaliz...
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Sparse Regularization in Marketing and Economics
Sparse alphanorm regularization has many datarich applications in mark...
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Recurrent Filter Learning for Visual Tracking
Recently using convolutional neural networks (CNNs) has gained popularit...
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Accurate Light Field Depth Estimation with Superpixel Regularization over Partially Occluded Regions
Depth estimation is a fundamental problem for light field photography ap...
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Towards Cognitive Exploration through Deep Reinforcement Learning for Mobile Robots
Exploration in an unknown environment is the core functionality for mobi...
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DeepLearned Collision Avoidance Policy for Distributed MultiAgent Navigation
Highspeed, lowlatency obstacle avoidance that is insensitive to sensor...
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ChosenPlaintext Cryptanalysis of a ClippedNeuralNetworkBased Chaotic Cipher
In ISNN'04, a novel symmetric cipher was proposed, by combining a chaoti...
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Extrinsic Calibration of 3D Range Finder and Camera without Auxiliary Object or Human Intervention
Fusion of heterogeneous extroceptive sensors is the most effient and eff...
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Distributed learning with regularized least squares
We study distributed learning with the least squares regularization sche...
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A Tabu Search Algorithm for the Multiperiod Inspector Scheduling Problem
This paper introduces a multiperiod inspector scheduling problem (MPISP...
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TCONV: A Convolutional Neural Network For Multiscale Taxi Trajectory Prediction
Precise destination prediction of taxi trajectories can benefit many int...
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Crowd Counting by Adapting Convolutional Neural Networks with Side Information
Computer vision tasks often have side information available that is help...
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Least Squares Generative Adversarial Networks
Unsupervised learning with generative adversarial networks (GANs) has pr...
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3D Hand Pose Tracking and Estimation Using Stereo Matching
3D hand pose tracking/estimation will be very important in the next gene...
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Light Field Compression with Disparity Guided Sparse Coding based on Structural Key Views
Recent imaging technologies are rapidly evolving for sampling richer and...
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An Enhanced Branchandbound Algorithm for the Talent Scheduling Problem
The talent scheduling problem is a simplified version of the realworld ...
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Boost KMeans
Due to its simplicity and versatility, kmeans remains popular since it ...
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PCAaided Fully Convolutional Networks for Semantic Segmentation of Multichannel fMRI
Semantic segmentation of functional magnetic resonance imaging (fMRI) ma...
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A Short Survey on Data Clustering Algorithms
With rapidly increasing data, clustering algorithms are important tools ...
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Unsupervised Learning in Genome Informatics
With different genomes available, unsupervised learning algorithms are e...
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RGBD Salient Object Detection via Deep Fusion
Numerous efforts have been made to design different low level saliency c...
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Consistency Analysis of an Empirical Minimum Error Entropy Algorithm
In this paper we study the consistency of an empirical minimum error ent...
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Tech Report A Variational HEM Algorithm for Clustering Hidden Markov Models
The hidden Markov model (HMM) is a generative model that treats sequenti...
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On Approximate Inference for Generalized Gaussian Process Models
A generalized Gaussian process model (GGPM) is a unifying framework that...
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Multimodal Multipart Learning for Action Recognition in Depth Videos
The articulated and complex nature of human actions makes the task of ac...
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Multiclass Total Variation Clustering
Ideas from the image processing literature have recently motivated a new...
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Clustering hidden Markov models with variational HEM
The hidden Markov model (HMM) is a widelyused generative model that cop...
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Learning Theory Approach to Minimum Error Entropy Criterion
We consider the minimum error entropy (MEE) criterion and an empirical r...
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Towards a Mathematical Foundation of Immunology and Amino Acid Chains
We attempt to set a mathematical foundation of immunology and amino acid...
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Robust PiecewiseConstant Smoothing: MSmoother Revisited
A robust estimator, namely Msmoother, for piecewiseconstant smoothing ...
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Rapid Feature Extraction for Optical Character Recognition
Feature extraction is one of the fundamental problems of character recog...
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City University of Hong Kong
City University of Hong Kong aspires to become a leading global university, excelling in research and professional education. Ranked as one of top universities in Asia, its mission is to nurture and develop the talents of students and to create applicable knowledge in order to support social and economic advancement.