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05/12/2023
A Lightweight Authentication Protocol against Modeling Attacks based on a Novel LFSR-APUF
Simple authentication protocols based on conventional physical unclonabl...
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03/26/2023
Lightweight Estimation of Hand Mesh and Biomechanically Feasible Kinematic Parameters
3D hand pose estimation is a long-standing challenge in both robotics an...
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03/15/2023
Progressive Frame Patching for FoV-based Point Cloud Video Streaming
Immersive multimedia applications, such as Virtual, Augmented and Mixed ...
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02/21/2023
Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes
In recent years, large amounts of electronic health records (EHRs) conce...
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02/12/2023
Efficient Fraud Detection using Deep Boosting Decision Trees
Fraud detection is to identify, monitor, and prevent potentially fraudul...
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12/11/2022
Learning Neural Volumetric Field for Point Cloud Geometry Compression
Due to the diverse sparsity, high dimensionality, and large temporal var...
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10/12/2022
Deterioration Prediction using Time-Series of Three Vital Signs and Current Clinical Features Amongst COVID-19 Patients
Unrecognized patient deterioration can lead to high morbidity and mortal...
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09/17/2022
Understanding the Impact of Image Quality and Distance of Objects to Object Detection Performance
Deep learning has made great strides for object detection in images. The...
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09/06/2022
Learning to Predict on Octree for Scalable Point Cloud Geometry Coding
Octree-based point cloud representation and compression have been adopte...
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08/19/2022
Improved Image Classification with Token Fusion
In this paper, we propose a method using the fusion of CNN and transform...
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08/17/2022
Detect and Approach: Close-Range Navigation Support for People with Blindness and Low Vision
People with blindness and low vision (pBLV) experience significant chall...
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04/23/2022
Gabor is Enough: Interpretable Deep Denoising with a Gabor Synthesis Dictionary Prior
Image processing neural networks, natural and artificial, have a long hi...
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04/15/2022
Feature Compression for Rate Constrained Object Detection on the Edge
Recent advances in computer vision has led to a growth of interest in de...
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03/23/2022
Chat-Capsule: A Hierarchical Capsule for Dialog-level Emotion Analysis
Many studies on dialog emotion analysis focus on utterance-level emotion...
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01/29/2022
Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices
It is known that the decomposition in low-rank and sparse matrices (L+S ...
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12/30/2021
VisQA: Quantifying Information Visualisation Recallability via Question Answering
Despite its importance for assessing the effectiveness of communicating ...
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12/25/2021
Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to "See” More, Farther and Faster
Advanced wearable devices are increasingly incorporating high-resolution...
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12/18/2021
DegreEmbed: incorporating entity embedding into logic rule learning for knowledge graph reasoning
Knowledge graphs (KGs), as structured representations of real world fact...
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12/12/2021
MPLR: a novel model for multi-target learning of logical rules for knowledge graph reasoning
Large-scale knowledge graphs (KGs) provide structured representations of...
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12/04/2021
Scanpath Prediction on Information Visualisations
We propose Unified Model of Saliency and Scanpaths (UMSS) – a model that...
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12/02/2021
CDLNet: Noise-Adaptive Convolutional Dictionary Learning Network for Blind Denoising and Demosaicing
Deep learning based methods hold state-of-the-art results in low-level i...
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11/29/2021
Domain Adaptation of Networks for Camera Pose Estimation: Learning Camera Pose Estimation Without Pose Labels
One of the key criticisms of deep learning is that large amounts of expe...
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11/28/2021
Generalization Performance of Empirical Risk Minimization on Over-parameterized Deep ReLU Nets
In this paper, we study the generalization performance of global minima ...
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11/13/2021
Nyström Regularization for Time Series Forecasting
This paper focuses on learning rate analysis of Nyström regularization w...
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09/24/2021
An Improved Frequent Directions Algorithm for Low-Rank Approximation via Block Krylov Iteration
Frequent Directions, as a deterministic matrix sketching technique, has ...
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09/13/2021
Effective Tensor Completion via Element-wise Weighted Low-rank Tensor Train with Overlapping Ket Augmentation
In recent years, there have been an increasing number of applications of...
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08/23/2021
Effective Streaming Low-tubal-rank Tensor Approximation via Frequent Directions
Low-tubal-rank tensor approximation has been proposed to analyze large-s...
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08/05/2021
End-to-end Neural Video Coding Using a Compound Spatiotemporal Representation
Recent years have witnessed rapid advances in learnt video coding. Most ...
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08/03/2021
Double-Dot Network for Antipodal Grasp Detection
This paper proposes a new deep learning approach to antipodal grasp dete...
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06/23/2021
Universal Consistency of Deep Convolutional Neural Networks
Compared with avid research activities of deep convolutional neural netw...
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06/01/2021
A method using deep learning to discover new predictors of CRT response from mechanical dyssynchrony on gated SPECT MPI
Background. Studies have shown that the conventional left ventricular me...
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04/29/2021
Tuna: A Static Analysis Approach to Optimizing Deep Neural Networks
We introduce Tuna, a static analysis approach to optimizing deep neural ...
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04/04/2021
PDWN: Pyramid Deformable Warping Network for Video Interpolation
Video interpolation aims to generate a non-existent intermediate frame g...
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03/05/2021
CDLNet: Robust and Interpretable Denoising Through Deep Convolutional Dictionary Learning
Deep learning based methods hold state-of-the-art results in image denoi...
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01/31/2021
The distance between the weights of the neural network is meaningful
In the application of neural networks, we need to select a suitable mode...
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09/16/2020
Kernel-based L_2-Boosting with Structure Constraints
Developing efficient kernel methods for regression is very popular in th...
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07/21/2020
Authentication against Man-in-the-Middle Attack with a Time-variant Reconfigurable Dual-LFSR-based Arbiter PUF
With the expansion of the Internet of Things industry, the information s...
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07/09/2020
Neural Video Coding using Multiscale Motion Compensation and Spatiotemporal Context Model
Over the past two decades, traditional block-based video coding has made...
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02/27/2020
Gamma-Reward: A Novel Multi-Agent Reinforcement Learning Method for Traffic Signal Control
The intelligent control of traffic signal is critical to the optimizatio...
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02/27/2020
Learning Scalable Multi-Agent Coordination by Spatial Differential for Traffic Signal Control
The intelligent control of the traffic signal is critical to the optimiz...
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10/20/2019
Deep Mouse: An End-to-end Auto-context Refinement Framework for Brain Ventricle and Body Segmentation in Embryonic Mice Ultrasound Volumes
High-frequency ultrasound (HFU) is well suited for imaging embryonic mic...
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10/12/2019
A preference learning framework for multiple criteria sorting with diverse additive value models and valued assignment examples
We present a preference learning framework for multiple criteria sorting...
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09/23/2019
Automatic Mouse Embryo Brain Ventricle & Body Segmentation and Mutant Classification From Ultrasound Data Using Deep Learning
High-frequency ultrasound (HFU) is well suited for imaging embryonic mic...
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09/17/2019
Masked-RPCA: Sparse and Low-rank Decomposition Under Overlaying Model and Application to Moving Object Detection
Foreground detection in a given video sequence is a pivotal step in many...
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09/02/2019
PrTransH: Embedding Probabilistic Medical Knowledge from Real World EMR Data
This paper proposes an algorithm named as PrTransH to learn embedding ve...
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08/10/2019
Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method
Mild Traumatic Brain Injury (mTBI) is a significant public health proble...
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07/03/2019
A Unified Optimization Approach for CNN Model Inference on Integrated GPUs
Modern deep learning applications urge to push the model inference takin...
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06/05/2019
RIP-based performance guarantee for low-tubal-rank tensor recovery
The essential task of multi-dimensional data analysis focuses on the ten...
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05/11/2019
Deep Plug-and-play Prior for Low-rank Tensor Completion
Tensor image data sets such as color images and multispectral images are...
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04/22/2019