Recent Publications

. KAIST Multispectral Recognition Dataset in Day and Night. In T-ITS (under review), 2018.

. StairNet: Top-Down Semantic Aggregation for Accurate One Shot Detection. In WACV (to appear), 2018.

Preprint

. Multispectral Transfer Network: Unsupervised Depth Estimation for All-day Vision. In AAAI (to appear), 2018.

. Thermal Image Enhancement using Convolution Neural Network. In IROS, 2016.

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. Fast Multiple Objects Detection and Tracking Fusing Color Camera and 3D LIDAR for Intelligent Vehicles. In URAI, 2016.

PDF Project Video

. Thermal-Infrared based Drivable Region Detection. In IV, 2016.

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. Geometrical Calibration of Multispectral Calibration. In URAI, 2015.

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. Low-Cost Synchronization for Multispectral Cameras. In URAI, 2015.

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. ARTRIEVAL: Painting Retrieval Without Expert Knowledge. In ICIP, 2015.

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. All-Day Visual Place Recognition: Benchmark Dataset and Baselines. In CVPR-VPRICE, 2015.

PDF Project Poster Slides

. Multispectral Pedestrian Detection: Benchmark Dataset and Baselines. In CVPR, 2015.

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. A Two Phase Approach for Pedestrian Detection. In ACCV-IVVT, 2014.

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. Evaluation of Vocabulary Trees for Localization in Robot Applications. In ICCAS, 2013.

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Projects

Multispectral Recognition Dataset

This dataset contains various illumination conditions (day, night, sunset, and sunrise) of multimodal data, which are of particular interest in autonomous driving-assistance tasks such as localization (place recognition, 6D SLAM), moving object detection (pedestrian or car) and scene understanding (drivable region).

Multispectral Pedestrian Benchmark

We developed imaging hardware consisting of a color camera, a thermal camera and a beam splitter to capture the aligned multispectral (RGB color + Thermal) images. With this hardware, we captured various regular traffic scenes at day and night time to consider changes in light conditions.

Patents

  • Depth Estimation Based on Thermal Image, and Neural Network Learning Method Korea, Pending (10-2017-0023475), Feb 2017.

  • Pattern Board for Geometrical Calibration in Multi-spectral Camera System Korea, Pending (10-2016-0122950), Sep 2016.

  • Thermal Image Enhancement using Deep Learning Algorithm Korea, Pending (10-2016-0100058), Aug 2016.

  • Detecting Smoke from Image US20150030203 (Filed on May 2014).

Awards

  • Gold prize, The 23th HumanTech Paper Award, Samsung, Feb 2017

  • Bronze prize, Korea Invention Patent Exhibition (KINPEX), Dec 2016

  • 1st place, NVidia Deep Learning Contest, NVidia Korea, Nov 2016

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