Hakil Kim
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View article: Automatic Pruning and Quality Assurance of Object Detection Datasets for Autonomous Driving
Automatic Pruning and Quality Assurance of Object Detection Datasets for Autonomous Driving Open
Large amounts of high-quality data are required to train artificial intelligence (AI) models; however, curating such data through human intervention remains cumbersome, time-consuming, and error-prone. In particular, erroneous annotations …
View article: Automatic Pruning and Quality Assurance of Object Detection Datasets for Autonomous Driving
Automatic Pruning and Quality Assurance of Object Detection Datasets for Autonomous Driving Open
Large amounts of high-quality data is required for the training of Artificial Intelligence (AI) models, which are indeed cumbersome to curate and perform quality assurance via human intervention. Moreover, models trained using erroneous da…
View article: Data Reliability Testing Framework for Biometric Datasets Using Synthetic Iris and Fingerprint Images Generated via Deep Generative Models
Data Reliability Testing Framework for Biometric Datasets Using Synthetic Iris and Fingerprint Images Generated via Deep Generative Models Open
This paper presents a comprehensive data reliability testing framework for evaluating synthetic biometric data, addressing privacy concerns in fingerprint and iris recognition systems. This unified and modality-independent methodology esta…
View article: Practical Evaluation Framework for Real-Time Multi-Object Tracking: Achieving Optimal and Realistic Performance
Practical Evaluation Framework for Real-Time Multi-Object Tracking: Achieving Optimal and Realistic Performance Open
This paper introduces an enhanced evaluation framework to assess the real-world efficacy of multi-object tracking (MOT) systems, focusing on holistic assessment encompassing detection, ReID (Re-Identification), and tracking components. The…
View article: Point Cloud Wall Projection for Realistic Road Data Augmentation
Point Cloud Wall Projection for Realistic Road Data Augmentation Open
Several approaches have been developed to generate synthetic object points using real LiDAR point cloud data for advanced driver-assistance system (ADAS) applications. The synthetic object points generated from a scene (both the near and d…
View article: LITE: A Paradigm Shift in Multi-Object Tracking with Efficient ReID Feature Integration
LITE: A Paradigm Shift in Multi-Object Tracking with Efficient ReID Feature Integration Open
The Lightweight Integrated Tracking-Feature Extraction (LITE) paradigm is introduced as a novel multi-object tracking (MOT) approach. It enhances ReID-based trackers by eliminating inference, pre-processing, post-processing, and ReID model…
View article: Multilayer Perceptron-Based Error Compensation for Automatic On-the-Fly Camera Orientation Estimation Using a Single Vanishing Point from Road Lane
Multilayer Perceptron-Based Error Compensation for Automatic On-the-Fly Camera Orientation Estimation Using a Single Vanishing Point from Road Lane Open
This study introduces a multilayer perceptron (MLP) error compensation method for real-time camera orientation estimation, leveraging a single vanishing point and road lane lines within a steady-state framework. The research emphasizes cam…
View article: SynFAGnet: A Fully Automated Generative Network for Realistic Fire Image Generation
SynFAGnet: A Fully Automated Generative Network for Realistic Fire Image Generation Open
This paper proposes a fully automated generative network (“SynFAGnet”) for automatically creating a realistic-looking synthetic fire image. SynFAGnet is used as a data augmentation technique to create diverse data for training models, ther…
View article: Multilayer Perceptron-based Error Compensation for Automatic On-the-Fly Camera Orientation Estimation using a Single Vanishing Point from Road Lane
Multilayer Perceptron-based Error Compensation for Automatic On-the-Fly Camera Orientation Estimation using a Single Vanishing Point from Road Lane Open
This study introduces a multilayer perceptron (MLP) error compensation method for real-time camera orientation estimation, leveraging a single vanishing point and road lane lines within a steady-state framework. The research emphasizes cam…
View article: Design of Contextual Filtered Features for Better Smartphone-User Receptivity Prediction
Design of Contextual Filtered Features for Better Smartphone-User Receptivity Prediction Open
For the successful engagement of users with incoming interventions, the delivery of Just-In-Time (or opportune moment—OM) interventions is of the utmost importance. This can be accomplished with a machine learning model that utilizes user …
View article: Implementation of Field-Programmable Gate Array Platform for Object Classification Tasks Using Spike-Based Backpropagated Deep Convolutional Spiking Neural Networks
Implementation of Field-Programmable Gate Array Platform for Object Classification Tasks Using Spike-Based Backpropagated Deep Convolutional Spiking Neural Networks Open
This paper investigates the performance of deep convolutional spiking neural networks (DCSNNs) trained using spike-based backpropagation techniques. Specifically, the study examined temporal spike sequence learning via backpropagation (TSS…
View article: Joint Multiclass Object Detection and Semantic Segmentation for Autonomous Driving
Joint Multiclass Object Detection and Semantic Segmentation for Autonomous Driving Open
Object detection and semantic segmentation are two fundamental problems in autonomous driving systems. As recent studies have illustrated the strong correlation between the two tasks, the joint development of object detection and semantic …
View article: Online Action Detection in Surveillance Scenarios: A Comprehensive Review and Comparative Study of State-of-the-Art Multi-Object Tracking Methods
Online Action Detection in Surveillance Scenarios: A Comprehensive Review and Comparative Study of State-of-the-Art Multi-Object Tracking Methods Open
Online action detection in surveillance scenarios presents considerable challenges, particularly due to the dynamically changing environments and real-time processing requirements. Within this context, Multi-Object Tracking (MOT) serves as…
View article: SSRT: A Sequential Skeleton RGB Transformer to Recognize Fine-Grained Human-Object Interactions and Action Recognition
SSRT: A Sequential Skeleton RGB Transformer to Recognize Fine-Grained Human-Object Interactions and Action Recognition Open
Combining skeleton and RGB modalities in human action recognition (HAR) has garnered attention due to their ability to complement each other. However, previous studies did not address the challenge of recognizing fine-grained human-object …
View article: Edge Device Deployment of Multi-Tasking Network for Self-Driving Operations
Edge Device Deployment of Multi-Tasking Network for Self-Driving Operations Open
A safe and robust autonomous driving system relies on accurate perception of the environment for application-oriented scenarios. This paper proposes deployment of the three most crucial tasks (i.e., object detection, drivable area segmenta…
View article: Hydrothermal synthesis of CuO@MnO2 on nitrogen-doped multiwalled carbon nanotube composite electrodes for supercapacitor applications
Hydrothermal synthesis of CuO@MnO2 on nitrogen-doped multiwalled carbon nanotube composite electrodes for supercapacitor applications Open
Nitrogen-doped multiwalled carbon nanotubes (N-MWCNTs) have been used to fabricate nanostructured materials for various energy devices, such as supercapacitors, sensors, batteries, and electrocatalysts. Nitrogen-doped carbon-based electrod…
View article: FV-UPatches: Enhancing Universality in Finger Vein Recognition
FV-UPatches: Enhancing Universality in Finger Vein Recognition Open
Many deep learning-based models have been introduced in finger vein recognition in recent years. These solutions, however, suffer from data dependency and are difficult to achieve model generalization. To address this problem, we are inspi…
View article: Exploring Human Pose Estimation and the Usage of Synthetic Data for Elderly Fall Detection in Real-World Surveillance
Exploring Human Pose Estimation and the Usage of Synthetic Data for Elderly Fall Detection in Real-World Surveillance Open
The world’s elderly population continues to grow at an unprecedented rate, creating a need to monitor the safety of an aging population. One of the current problems is accurately classifying elderly physical activities, especially falling …
View article: Exploring Optimized Spiking Neural Network Architectures for Classification Tasks on Embedded Platforms
Exploring Optimized Spiking Neural Network Architectures for Classification Tasks on Embedded Platforms Open
In recent times, the usage of modern neuromorphic hardware for brain-inspired SNNs has grown exponentially. In the context of sparse input data, they are undertaking low power consumption for event-based neuromorphic hardware, specifically…
View article: Vision-Based Tactile Sensor Mechanism for the Estimation of Contact Position and Force Distribution Using Deep Learning
Vision-Based Tactile Sensor Mechanism for the Estimation of Contact Position and Force Distribution Using Deep Learning Open
This work describes the development of a vision-based tactile sensor system that utilizes the image-based information of the tactile sensor in conjunction with input loads at various motions to train the neural network for the estimation o…
View article: A method for blind image deblurring based on Gabor filter edge estimation
A method for blind image deblurring based on Gabor filter edge estimation Open
Edge is widely used in blind deconvolution methods to provide the information source for the deblurring process. In the natural images, the blurring can be shown in any directions on edges randomly. However, the previous edge-based deconvo…
View article: Surface Thermo-Dynamic Characterization of Poly (Vinylidene Chloride-Co-Acrylonitrile) (P(VDC-co-AN)) Using Inverse-Gas Chromatography and Investigation of Visual Traits Using Computer Vision Image Processing Algorithms
Surface Thermo-Dynamic Characterization of Poly (Vinylidene Chloride-Co-Acrylonitrile) (P(VDC-co-AN)) Using Inverse-Gas Chromatography and Investigation of Visual Traits Using Computer Vision Image Processing Algorithms Open
The Inverse Gas Chromatography (IGC) technique has been employed for the surface thermo-dynamic characterization of the polymer Poly(vinylidene chloride-co-acrylonitrile) (P(VDC-co-AN)) in its pure form. IGC attributes, such as London disp…
View article: A critical review on computer vision and artificial intelligence in food industry
A critical review on computer vision and artificial intelligence in food industry Open
Emerging technologies such as computer vision and Artificial Intelligence (AI) are estimated to leverage the accessibility of big data for active training and yielding operational real time smart machines and predictable models. This pheno…
View article: Automatic Distortion Rectification of Wide-Angle Images Using Outlier Refinement for Streamlining Vision Tasks
Automatic Distortion Rectification of Wide-Angle Images Using Outlier Refinement for Streamlining Vision Tasks Open
The study proposes an outlier refinement methodology for automatic distortion rectification of wide-angle and fish-eye lens camera models in the context of streamlining vision-based tasks. The line-members sets are estimated in a scene thr…
View article: Spine Computed Tomography to Magnetic Resonance Image Synthesis Using Generative Adversarial Networks : A Preliminary Study
Spine Computed Tomography to Magnetic Resonance Image Synthesis Using Generative Adversarial Networks : A Preliminary Study Open
This was the first study to apply GANs to synthesize spine MR images from CT images. Despite the small dataset of 280 pairs, the synthetic MR images were relatively well implemented. Synthesis of medical images using GANs is a new paradigm…
View article: Feasible Self-Calibration of Larger Field-of-View (FOV) Camera Sensors for the Advanced Driver-Assistance System (ADAS)
Feasible Self-Calibration of Larger Field-of-View (FOV) Camera Sensors for the Advanced Driver-Assistance System (ADAS) Open
This paper proposes a self-calibration method that can be applied for multiple larger field-of-view (FOV) camera models on an advanced driver-assistance system (ADAS). Firstly, the proposed method performs a series of pre-processing steps …
View article: DC2Anet: Generating Lumbar Spine MR Images from CT Scan Data Based on Semi-Supervised Learning
DC2Anet: Generating Lumbar Spine MR Images from CT Scan Data Based on Semi-Supervised Learning Open
Magnetic resonance imaging (MRI) plays a significant role in the diagnosis of lumbar disc disease. However, the use of MRI is limited because of its high cost and significant operating and processing time. More importantly, MRI is contrain…
View article: Mixture separability loss in a deep convolutional network for image classification
Mixture separability loss in a deep convolutional network for image classification Open
In machine learning, the cost function is crucial because it measures how good or bad a system is. In image classification, well-known networks only consider modifying the network structures and applying cross-entropy loss at the end of th…
View article: Deep CT to MR Synthesis Using Paired and Unpaired Data
Deep CT to MR Synthesis Using Paired and Unpaired Data Open
Magnetic resonance (MR) imaging plays a highly important role in radiotherapy treatment planning for the segmentation of tumor volumes and organs. However, the use of MR is limited, owing to its high cost and the increased use of metal imp…
View article: Real-time and robust multiple-view gender classification using gait features in video surveillance
Real-time and robust multiple-view gender classification using gait features in video surveillance Open
It is common to view people in real applications walking in arbitrary directions, holding items, or wearing heavy coats. These factors are challenges in gait-based application methods because they significantly change a person's appearance…