Search Results - "Shin, HyunChul"

Two-stream small-scale pedestrian detection network with feature aggregation for drone-view videos by Xie, Han, Shin, Hyunchul

“…Detecting small-scale pedestrians in aerial images is a challenging task that can be difficult even for humans. Observing that the single image based method…”
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Pedestrian Detection at Night in Infrared Images Using an Attention-Guided Encoder-Decoder Convolutional Neural Network by Chen, Yunfan, Shin, Hyunchul

“…Pedestrian-related accidents are much more likely to occur during nighttime when visible (VI) cameras are much less effective. Unlike VI cameras, infrared (IR)…”
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Multi‐layer fusion techniques using a CNN for multispectral pedestrian detection by Yunfan Chen, Han Xie, Hyunchul Shin

“…In this study, a novel multi‐layer fused convolution neural network (MLF‐CNN) is proposed for detecting pedestrians under adverse illumination conditions…”
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A New Deep Learning Based Multi-Spectral Image Fusion Method by Piao, Jingchun, Chen, Yunfan, Shin, Hyunchul

“…In this paper, we present a new effective infrared (IR) and visible (VIS) image fusion method by using a deep neural network. In our method, a Siamese…”
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DW-YOLO: An Efficient Object Detector for Drones and Self-driving Vehicles by Chen, Yunfan, Zheng, Wenqi, Zhao, Yangyi, Song, Tae Hun, Shin, Hyunchul

“…Object detection is frequently a challenging task due to poor visual cues of objects in an image. In this paper, a new efficient deep learning-based detection…”
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New Dark Area Sensitive Tone Mapping for Deep Learning Based Traffic Sign Recognition by Khan, Jameel Ahmed, Yeo, Donghoon, Shin, Hyunchul

“…In this paper, we propose a new Intelligent Traffic Sign Recognition (ITSR) system with illumination preprocessing capability. Our proposed Dark Area Sensitive…”
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Performance enhancement techniques for traffic sign recognition using a deep neural network by Khan, Jameel Ahmed, Chen, Yunfan, Rehman, Yawar, Shin, Hyunchul

“…An advanced traffic sign recognition (ATSR) system using novel pre-processing techniques and optimization techniques has been proposed. During the…”
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Occluded Pedestrian Detection Techniques by Deformable Attention-Guided Network (DAGN) by Xie, Han, Zheng, Wenqi, Shin, Hyunchul

“…Although many deep-learning-based methods have achieved considerable detection performance for pedestrians with high visibility, their overall performances are…”
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Hardware Architecture Exploration for Deep Neural Networks by Zheng, Wenqi, Zhao, Yangyi, Chen, Yunfan, Park, Jinhong, Shin, Hyunchul

“…Owing to good performance, deep Convolution Neural Networks (CNNs) are rapidly rising in popularity across a broad range of applications. Since high accuracy…”
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PIFNet: 3D Object Detection Using Joint Image and Point Cloud Features for Autonomous Driving by Zheng, Wenqi, Xie, Han, Chen, Yunfan, Roh, Jeongjin, Shin, Hyunchul

“…Owing to its wide range of applications, 3D object detection has attracted increasing attention in computer vision tasks. Most existing 3D object detection…”
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Road vanishing point detection using weber adaptive local filter and salient‐block‐wise weighted soft voting by Xue Fan, Hyunchul Shin

“…In this study, a novel and efficient technique is proposed for road vanishing point detection in challenging scenes. Currently, most existing texture‐based…”
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D‐patches: effective traffic sign detection with occlusion handling by Yawar Rehman, Irfan Riaz, Xue Fan, Hyunchul Shin

“…In advanced driver assistance systems, accurate detection of traffic signs plays an important role in extracting information about the road ahead. However,…”
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The reproducibility of shear wave and strain elastography in epidermal cysts by Kim, Ji Na, Park, Hee Jin, Kim, Myung Sub, Won, So Yeon, Song, Eunhee, Kim, Minchul, Shin, Hyunchul

“…Purpose: This study evaluated epidermal cyst elasticity using multiple parameters of strain elastography (SE) and shear wave elastography (SWE) and assessed…”
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Single image dehazing with bright object handling by Irfan Riaz, Xue Fan, Hyunchul Shin

“…This study addresses the shortcomings of the dark channel prior (DCP). The authors propose a new and efficient method for transmission estimation with…”
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A fast and energy-efficient two-stage level shifter using the controlled Wilson current mirror by Maroof, Naeem, Sohail, Muhammad, Shin, Hyunchul

“…Multiple voltage domains are commonplace in modern SoCs and level shifter (LS) circuits allow different voltage domains to be interfaced with each other. As…”
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Detecting partially occluded vehicles with geometric and likelihood reasoning by Teng Yu, Hyunchul Shin

“…In real‐world scenes, vehicles are frequently overlapped by other objects and various backgrounds. In this study, an effective method to detect such vehicles,…”
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Thoracolumbar extradural arachnoid cysts: a study of 14 consecutive cases by Oh, Jae Keun, Lee, Dong Youp, Kim, Tae Yup, Yi, Seong, Ha, Yoon, Kim, Keung Nyun, Shin, Hyunchul, Kim, Dong Seok, Yoon, Do Heum

“…Background To investigate characteristic clinical and radiological features of extradural arachnoid cysts (EDACs) in the thoracolumbar region, a retrospective…”
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Occipitocervical fusion after resection of craniovertebral junction tumors by SHIN, Hyunchul, BARRENECHEA, Ignacio J, LESSER, Jonathan, SEN, Chandranath, PERIN, Noel I

“…Surgical access to tumors at the craniovertebral junction (CVJ) requires extensive bone removal. Guidelines for the use of occipitocervical fusion (OCF) after…”
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Inter- and Intra-Observer Variability of the Volume of Cervical Ossification of the Posterior Longitudinal Ligament Using Medical Image Processing Software by Shin, Dong Ah, Ji, Gyu Yeul, Oh, Chang Hyun, Kim, Keung Nyun, Yoon, Do Heum, Shin, Hyunchul

“…Objective : Computed tomography (CT)-based method of three dimensional (3D) analysis ($MIMICS^{(R)}$, Materialise, Leuven, Belgium) is reported as very useful…”
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A new adaptive threshold technique for improved matching in SIFT by Pirzada, Syed Jahanzeb Hussain, Baig, Mirza Waqar, Haq, Ehsan Ul, Hyunchul Shin

“…Scale Invariant Feature Transform (SIFT) is widely used in vision systems for various applications such as object detection and face recognition. In SIFT,…”
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