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09/10/2023
Transformers in Small Object Detection: A Benchmark and Survey of State-of-the-Art
Transformers have rapidly gained popularity in computer vision, especial...
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09/01/2023
Multitask Deep Learning for Accurate Risk Stratification and Prediction of Next Steps for Coronary CT Angiography Patients
Diagnostic investigation has an important role in risk stratification an...
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08/06/2023
MCTformer+: Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation
This paper proposes a novel transformer-based framework that aims to enh...
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07/25/2023
Spectrum-guided Multi-granularity Referring Video Object Segmentation
Current referring video object segmentation (R-VOS) techniques extract c...
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04/14/2023
A Bibliometric Review of Neuromorphic Computing and Spiking Neural Networks
Neuromorphic computing and spiking neural networks aim to leverage biolo...
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03/09/2023
Analysis and Evaluation of Explainable Artificial Intelligence on Suicide Risk Assessment
This study investigates the effectiveness of Explainable Artificial Inte...
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11/24/2022
Utilising physics-guided deep learning to overcome data scarcity
Deep learning (DL) relies heavily on data, and the quality of data influ...
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10/12/2022
3D Brain and Heart Volume Generative Models: A Survey
Generative models such as generative adversarial networks and autoencode...
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09/17/2022
Active-Passive SimStereo – Benchmarking the Cross-Generalization Capabilities of Deep Learning-based Stereo Methods
In stereo vision, self-similar or bland regions can make it difficult to...
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09/12/2022
Bayesian Learning for Disparity Map Refinement for Semi-Dense Active Stereo Vision
A major focus of recent developments in stereo vision has been on how to...
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08/08/2022
Inflating 2D Convolution Weights for Efficient Generation of 3D Medical Images
The generation of three-dimensional (3D) medical images can have great a...
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07/21/2022
Region Aware Video Object Segmentation with Deep Motion Modeling
Current semi-supervised video object segmentation (VOS) methods usually ...
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07/09/2022
Improved and Interpretable Defense to Transferred Adversarial Examples by Jacobian Norm with Selective Input Gradient Regularization
Deep neural networks (DNNs) are known to be vulnerable to adversarial ex...
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06/13/2022
Spiking Neural Networks for Frame-based and Event-based Single Object Localization
Spiking neural networks have shown much promise as an energy-efficient a...
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03/24/2022
CrossFormer: Cross Spatio-Temporal Transformer for 3D Human Pose Estimation
3D human pose estimation can be handled by encoding the geometric depend...
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03/06/2022
Multi-class Token Transformer for Weakly Supervised Semantic Segmentation
This paper proposes a new transformer-based framework to learn class-spe...
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01/07/2022
A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items
Screening cluttered and occluded contraband items from baggage X-ray sca...
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01/07/2022
Spatio-Temporal Graph Representation Learning for Fraudster Group Detection
Motivated by potential financial gain, companies may hire fraudster grou...
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12/29/2021
COTReg:Coupled Optimal Transport based Point Cloud Registration
Generating a set of high-quality correspondences or matches is one of th...
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12/25/2021
Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes?
Explainable Artificial Intelligence (XAI) has been identified as a viabl...
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12/02/2021
Generalized Closed-form Formulae for Feature-based Subpixel Alignment in Patch-based Matching
Cost-based image patch matching is at the core of various techniques in ...
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11/10/2021
Social Fraud Detection Review: Methods, Challenges and Analysis
Social reviews have dominated the web and become a plausible source of p...
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10/09/2021
A Novel Quantum Calculus-based Complex Least Mean Square Algorithm (q-CLMS)
In this research, a novel adaptive filtering algorithm is proposed for c...
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09/27/2021
Training Spiking Neural Networks Using Lessons From Deep Learning
The brain is the perfect place to look for inspiration to develop more e...
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08/22/2021
Tensor Pooling Driven Instance Segmentation Framework for Baggage Threat Recognition
Automated systems designed for screening contraband items from the X-ray...
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07/27/2021
Self-Supervised Video Object Segmentation by Motion-Aware Mask Propagation
We propose a self-supervised spatio-temporal matching method coined Moti...
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07/15/2021
Unsupervised Anomaly Instance Segmentation for Baggage Threat Recognition
Identifying potential threats concealed within the baggage is of prime c...
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06/24/2021
A Systematic Collection of Medical Image Datasets for Deep Learning
The astounding success made by artificial intelligence (AI) in healthcar...
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06/20/2021
CAMERAS: Enhanced Resolution And Sanity preserving Class Activation Mapping for image saliency
Backpropagation image saliency aims at explaining model predictions by e...
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06/20/2021
Attack to Fool and Explain Deep Networks
Deep visual models are susceptible to adversarial perturbations to input...
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06/02/2021
q-RBFNN:A Quantum Calculus-based RBF Neural Network
In this research a novel stochastic gradient descent based learning appr...
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05/25/2021
HIN-RNN: A Graph Representation Learning Neural Network for Fraudster Group Detection With No Handcrafted Features
Social reviews are indispensable resources for modern consumers' decisio...
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01/23/2021
4D Atlas: Statistical Analysis of the Spatiotemporal Variability in Longitudinal 3D Shape Data
We propose a novel framework to learn the spatiotemporal variability in ...
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12/24/2020
Dynamic Facial Expression Recognition under Partial Occlusion with Optical Flow Reconstruction
Video facial expression recognition is useful for many applications and ...
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12/24/2020
WEmbSim: A Simple yet Effective Metric for Image Captioning
The area of automatic image caption evaluation is still undergoing inten...
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12/24/2020
LCEval: Learned Composite Metric for Caption Evaluation
Automatic evaluation metrics hold a fundamental importance in the develo...
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12/24/2020
SubICap: Towards Subword-informed Image Captioning
Existing Image Captioning (IC) systems model words as atomic units in ca...
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10/11/2020
A Practical Guide to Graph Neural Networks
Graph neural networks (GNNs) have recently grown in popularity in the fi...
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09/28/2020
Trainable Structure Tensors for Autonomous Baggage Threat Detection Under Extreme Occlusion
Detecting baggage threats is one of the most difficult tasks, even for e...
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07/14/2020
Hands-on Bayesian Neural Networks – a Tutorial for Deep Learning Users
Modern deep learning methods have equipped researchers and engineers wit...
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07/06/2020
Multi-Kernel Fusion for RBF Neural Networks
A simple yet effective architectural design of radial basis function neu...
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06/26/2020
Orthogonal Deep Models As Defense Against Black-Box Attacks
Deep learning has demonstrated state-of-the-art performance for a variet...
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06/11/2020
GANgster: A Fraud Review Detector based on Regulated GAN with Data Augmentation
Financial implications of written reviews provide great incentives for b...
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06/10/2020
DFraud3- Multi-Component Fraud Detection freeof Cold-start
Fraud review detection is a hot research topic inrecent years. The Cold-...
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06/01/2020
A Survey on Deep Learning Techniques for Stereo-based Depth Estimation
Estimating depth from RGB images is a long-standing ill-posed problem, w...
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04/14/2020
Cascaded Structure Tensor Framework for Robust Identification of Heavily Occluded Baggage Items from X-ray Scans
In the last two decades, baggage scanning has globally become one of the...
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01/30/2020
Structure-Feature based Graph Self-adaptive Pooling
Various methods to deal with graph data have been proposed in recent yea...
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12/27/2019
Deep Learning for 3D Point Clouds: A Survey
Point cloud learning has lately attracted increasing attention due to it...
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12/09/2019
Deep CMST Framework for the Autonomous Recognition of Heavily Occluded and Cluttered Baggage Items from Multivendor Security Radiographs
Since the last two decades, luggage scanning has become one of the prime...
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11/30/2019