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Publications
- KAIST Multi-Spectral Day/Night Data Set for Autonomous and Assisted Driving, T-ITS 2018
- Multispectral Transfer Network: Unsupervised Depth Estimation for All-day Vision, AAAI2018
- Thermal Image Enhancement using Convolution Neural Network, IROS2016
- Thermal-Infrared based Drivable Region Detection, IV 2016
- Fast Multiple Objects Detection and Tracking Fusing Color Camera and 3D LIDAR for Intelligent Vehicles, URAI2016
- Low-cost Synchronization for Multispectral Cameras, URAI2016
- Geometrical Calibration of Multispectral Calibration, URAI2016
- Multispectral Pedestrian Detection: Benchmark Dataset and Baseline, CVPR2015
- All-Day Visual Place Recognition: Benchmark Dataset and Baseline, CVPRW2015
Technical Reports
- Multispectral Pedestrian Detection in the Wild: A Fault-tolerant Fusion Approach, ECCV2018 submittion.
- Visual Perception for Autonomous Driving, Ph.D Thesis Feb, 2018.
- A New Perspective on Thermal Imaging Enhancement using Convolution Neural Network, Technical Report, 2017.
- Two-Phase 3D Convolutional Neural Network for Object Detection, MS Thesis Feb, 2016.
Awards & Talks
- 2017 Annual R&D Report, KAIST (Research Highlight)
- 2017 23th HumanTech Paper Award, Samsung (Gold Prize Winner)
- 2016 1th Deep Learning Contest, NVidia (1st place Winner)
- 2016 Korea Invention Patent Exhibition, (Bronze Prize Winner)