Obstacle Categorization Based on Hybridizing Global and Local Features. - Jeong-Woo Woo; Young-Chul Lim; Minho Lee 001 (ICONIP (2), 2009)

A fusion method of data association and virtual detection for minimizing track loss and false track. - Young-Chul Lim; Chung-Hee Lee; Soon Kwon; Jong-hun Lee (Intelligent Vehicles Symposium, 2010)

A sliced synchronous iteration architecture for real-time global stereo matching. - Soon Kwon; Chung-Hee Lee; Young-Chul Lim; Jong-hun Lee (Visual Information Processing and Communication, 2010)

Stereo Vision-Based Improving Cascade Classifier Learning for Vehicle Detection. - Jonghwan Kim; Chung-Hee Lee; Young-Chul Lim; Soon Kwon (ISVC (2), 2011)

Event-driven track management method for robust multi-vehicle tracking. - Young-Chul Lim; Chung-Hee Lee; Soon Kwon; Jonghwan Kim (Intelligent Vehicles Symposium, 2011)

Optical sensor-based object detection for autonomous robots. - Jonghwan Kim; Chung-Hee Lee; Young-Chul Lim; Soon Kwon; Chi-Ho Park (URAI, 2011)

Dynamic obstacle identification based on global and local features for a driver assistance system. - Jeong-Woo Woo; Young-Chul Lim; Minho Lee 001 (Neural Comput. Appl., 2011)

Stereo Vision based On-road Vehicle Detection under Illumination Changing Conditions using Self Quotient Image. - Jonghwan Kim; Chung-Hee Lee; Young-Chul Lim (ICINCO (2), 2012)

Stereo-based Spatial and Temporal Feature Matching Method for Object Tracking and Distance Estimation. - Young-Chul Lim; Chung-Hee Lee; Jonghwan Kim (ICPRAM, 2013)

MCMC particle filter-based vehicle tracking method using multiple hypotheses and appearance model. - Young-Chul Lim; Dongyoung Kim; Chung-Hee Lee (Intelligent Vehicles Symposium, 2013)

Pedestrian Detection using HOG-based Block Selection. - Minsung Kang; Young-Chul Lim (ICINCO (2), 2014)

Stereo Vision-based Visual Tracking using 3D Feature Clustering for Robust Vehicle Tracking. - Young-Chul Lim; Minsung Kang (ICINCO (2), 2014)

Fast stereo-based pedestrian detection using hypotheses. - Minsung Kang; Young-Chul Lim (RACS, 2015)

Pyramidal channel features for pedestrian detector. - Young-Chul Lim; Minsung Kang (RACS, 2015)

Locally Important Pattern Clustering Code for Pedestrian Classification. - Young-Chul Lim; Minsung Kang (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015)

Training method for vehicle detection. - Minsung Kang; Young-Chul Lim (ICCIP, 2016)

Stereo-based pedestrian detection using the dynamic ground plane estimation method. - Young-Chul Lim; Minsung Kang (ICCIP, 2016)

Multi-Pedestrian detection and tracking using unified multi-channel features. - Young-Chul Lim; Minsung Kang (AVSS, 2017)

High performance and fast object detection in road environments. - Minsung Kang; Young-Chul Lim (IPTA, 2017)

UA-DETRAC 2018: Report of AVSS2018 & IWT4S Challenge on Advanced Traffic Monitoring. - Siwei Lyu; Ming-Ching Chang; Dawei Du; Wenbo Li 001; Yi Wei 006; Marco Del Coco; Pierluigi Carcagnì; Arne Schumann; Bharti Munjal; Dinh-Quoc-Trung Dang; Doo-Hyun Choi; Erik Bochinski; et al. (AVSS, 2018)

Object Detection Using a Single Extended Feature Map. - Young-Chul Lim (Intelligent Vehicles Symposium, 2018)

Multi-class Vehicle Detection Using Multi-scale Hard Negative Mining. - Minsung Kang; Young-Chul Lim (IOV, 2019)

Global and Local Multi-scale Feature Fusion for Object Detection and Semantic Segmentation. - Young-Chul Lim; Minsung Kang (IV, 2019)