Young-Chul Lim

24 papers B 6C 2Journal 2Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Multi-Stage Learning for Visually Similar Road User Detection and Tracking. MLIS Young-Chul Lim, Minsung Kang
2019	C	`conf`	Global and Local Multi-scale Feature Fusion for Object Detection and Semantic Segmentation. IV Young-Chul Lim, Minsung Kang
2019	—	`conf`	Multi-class Vehicle Detection Using Multi-scale Hard Negative Mining. IOV Minsung Kang, Young-Chul Lim
2018	B	`conf`	Object Detection Using a Single Extended Feature Map. Intelligent Vehicles Symposium Young-Chul Lim
2018	B	`conf`	UA-DETRAC 2018: Report of AVSS2018 & IWT4S Challenge on Advanced Traffic Monitoring. AVSS Siwei Lyu, Ming-Ching Chang, Dawei Du, Wenbo Li, Yi Wei, Marco Del Coco, Pierluigi Carcagnì, Arne Schumann, Bharti Munjal, Dinh-Quoc-Trung Dang, Doo-Hyun Choi, Erik Bochinski, Fabio Galasso, Filiz Bunyak, Guna Seetharaman, Jang-Woon Baek, Jong Taek Lee, Kannappan Palaniappan, Kil-Taek Lim, Kiyoung Moon, Kwang-Ju Kim, Lars Sommer, Meltem Brandlmaier, Minsung Kang, Moongu Jeon, Noor M. Al-Shakarji, Oliver Acatay, Pyong-Kun Kim, Sikandar Amin, Thomas Sikora, Tien Ba Dinh, Tobias Senst, Vu-Gia-Hy Che, Young-Chul Lim, Young-min Song, Yun-Su Chung
2017	—	`conf`	High performance and fast object detection in road environments. IPTA Minsung Kang, Young-Chul Lim
2017	B	`conf`	Multi-Pedestrian detection and tracking using unified multi-channel features. AVSS Young-Chul Lim, Minsung Kang
2016	—	`conf`	Stereo-based pedestrian detection using the dynamic ground plane estimation method. ICCIP Young-Chul Lim, Minsung Kang
2016	—	`conf`	Training method for vehicle detection. ICCIP Minsung Kang, Young-Chul Lim
2015	—	`conf`	Fast stereo-based pedestrian detection using hypotheses. RACS Minsung Kang, Young-Chul Lim
2015	J	`jnl`	Locally Important Pattern Clustering Code for Pedestrian Classification. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Young-Chul Lim, Minsung Kang
2015	—	`conf`	Pyramidal channel features for pedestrian detector. RACS Young-Chul Lim, Minsung Kang
2014	—	`conf`	Pedestrian Detection using HOG-based Block Selection. ICINCO (2) Minsung Kang, Young-Chul Lim
2014	—	`conf`	Stereo Vision-based Visual Tracking using 3D Feature Clustering for Robust Vehicle Tracking. ICINCO (2) Young-Chul Lim, Minsung Kang
2013	B	`conf`	MCMC particle filter-based vehicle tracking method using multiple hypotheses and appearance model. Intelligent Vehicles Symposium Young-Chul Lim, Dongyoung Kim, Chung-Hee Lee
2013	C	`conf`	Stereo-based Spatial and Temporal Feature Matching Method for Object Tracking and Distance Estimation. ICPRAM Young-Chul Lim, Chung-Hee Lee, Jonghwan Kim
2012	—	`conf`	Stereo Vision based On-road Vehicle Detection under Illumination Changing Conditions using Self Quotient Image. ICINCO (2) Jonghwan Kim, Chung-Hee Lee, Young-Chul Lim
2011	J	`jnl`	Dynamic obstacle identification based on global and local features for a driver assistance system. Neural Comput. Appl. Jeong-Woo Woo, Young-Chul Lim, Minho Lee
2011	B	`conf`	Event-driven track management method for robust multi-vehicle tracking. Intelligent Vehicles Symposium Young-Chul Lim, Chung-Hee Lee, Soon Kwon, Jonghwan Kim
2011	—	`conf`	Optical sensor-based object detection for autonomous robots. URAI Jonghwan Kim, Chung-Hee Lee, Young-Chul Lim, Soon Kwon, Chi-Ho Park
2011	—	`conf`	Stereo Vision-Based Improving Cascade Classifier Learning for Vehicle Detection. ISVC (2) Jonghwan Kim, Chung-Hee Lee, Young-Chul Lim, Soon Kwon
2010	B	`conf`	A fusion method of data association and virtual detection for minimizing track loss and false track. Intelligent Vehicles Symposium Young-Chul Lim, Chung-Hee Lee, Soon Kwon, Jong-Hun Lee
2010	—	`conf`	A sliced synchronous iteration architecture for real-time global stereo matching. Visual Information Processing and Communication Soon Kwon, Chung-Hee Lee, Young-Chul Lim, Jong-Hun Lee
2009	—	`conf`	Obstacle Categorization Based on Hybridizing Global and Local Features. ICONIP (2) Jeong-Woo Woo, Young-Chul Lim, Minho Lee