Computer Vision Research Group (CVRG)

Guiding Robotic Endoscope via Surgical Instrument Detection and Tracking

Panoramic Image Based Localization Improved with Spherical Representations and Semantic Descriptors

Prediction of Intended Maneuvers of Surrounding Vehicles for Driver Assistance Systems

Group targets to conduct research on the cutting-edge topics of computer vision related research areas such as:

Visual localization
Vision for autonomous driving and ADAS
Visual object detection/classification
3D reconstruction from images
Omnidirectional (fisheye and catadioptric) cameras
Object tracking, Vision for robotics

Recent News

Nov, 2024 - Journal paper published. “OrganoLabeler: Quick and accurate annotation tool for organoid images” in ACS Omega.
Oct, 2023 - Best Paper Award (3rd place) received for the paper presented in ASYU 2023. “Lane Change Detection with an Ensemble of Image-based and Video-based Deep Learning Models” in Innovations in Intelligent Systems and Applications Conference (ASYU 2023), 11-13 October 2023.
May, 2023 - Book chapter published. “Dementia Detection with Deep Networks Using Multi-Modal Image Data” in Diagnosis of Neurological Disorders Based on Deep Learning Techniques (CRC Press, Taylor & Francis Group).