Hello! I am currently an Assistant Professor of Computer Science and Engineering at Kyung Hee University.

I graduated Ph. D. in Electrical Engineering at Korea Advanced Institute of Science and Technology (KAIST) under the supervision of Prof. Yong Man Ro. My research interests include machine learning and computer vision. In particular, my research topics include object detection in challenging environments (e.g., small-scale, occlusion, weather, etc.), pedestrian detection, and multimodal (multispectral) object detection. Also, I am interested in semantic segmentation and object tracking.

Education

• Ph.D. KAIST (Mar. 2018 - Aug. 2022)

• M.S. KAIST (Mar. 2016 - Feb. 2018)

• B.S. Ajou University (Mar. 2012 - Feb. 2016) (Summa Cum Laude)

Research Interests

• Computer Vision

• Machine Learning (Unsupervised Learning, Self-supervised Learning)

• Visual Recognition - 2D/3D/Video Object Detection, Segmentation

• Multi-modal AI - Audio-Visual Model, Multispectral (RGB/IR) Model

• Probabilistic AI - Bayesian Modeling, Uncertainty

• Domain Adaptation

• Generative Adversarial Network (GAN)

But not limited to

News

[Jan. 2022] One paper is accepted in ICASSP 2022

[Dec. 2021] One paper is accepted in AAAI 2022 Oral Presentation

2021: ICCV (1 paper), IEEE TCSVT (1 paper), ICASSP (1 paper) are accepted

2020: CVPR (1 paper), ECCV (1 paper), IEEE TCSVT (1 paper), ICASSP (1 paper), ICIP (6 papers) are accepted

2019: IEEE TCSVT (1 paper), ICIP (1 paper) are accepted

Publications (Selected)

2022

• Uncertainty-Guided Cross-Modal Learning for Robust Multispectral Pedestrian Detection

• Robust Thermal Infrared Pedestrian Detection by Associating Visible Pedestrian Knowledge

• Towards Versatile Pedestrian Detector with Multisensory-Matching and Multispectral Recalling Memory

2021

• Robust Small-scale Pedestrian Detection with Cued Recall via Memory Learning

• CUA Loss: Class Uncertainty-Aware Gradient Modulation for Robust Object Detection

• Towards Robust Training of Multi-Sensor Data Fusion Network Against Adversarial Examples in Semantic Segmentation

2020

• SACA Net: Cybersickness Assessment of Individual Viewers for VR Content via Graph-based Symptom Relation Embedding

• Structure Boundary Preserving Segmentation for Medical Image with Ambiguous Boundary

• BBC Net: Bounding-Box Critic Network for Occlusion-Robust Object Detection

• Towards High-Performance Object Detection: Task-Specific Design Considering Classification and Localization Separation

• Towards Human-Like Interpretable Object Detection via Spatial Relation Encoding

• Class Incremental Learning with Task-Selection

• Comprehensive Facial Expression Synthesis using Human-Interpretable Language

• Fake Video Detection With Certainty-Based Attention Network

2019

• Attentive Layer Separation for Object Classification and Object Localization in Object Detection

2018

• Object Bounding-Box-Critic Networks for Occlusion Robust Object Detection in Road Scene

2017

• Robust and Real-Time Visual Tracking with Triplet Convolutional Neural Network

• Iterative Deep Convolutional Encoder-Decoder Network for Medical Image Segmentation

• Object Tracking based on Weight Sharing CNN Structure According to Search Area Setting Method Considering Object Movement

Awards & Honors

• Certificate of Appointment of Korean Intellectual Property Office Advisor

• Best Paper Award

  • Korea Signal Processing Conference, 2019
  • Korea Multimedia Society, 2017

• Scholarships

  • AAAI-22 Student Scholar Program (from IBM)
  • Korean Government Scholarships, KAIST (2016-2018)

Experiences

• Korean Intellectual Property Office Advisor (Apr. 2019 - Present)

[Teaching Assistant]

• • Digital Video Processing (2017, Fall): KAIST

  • Introduction to Multimedia (2017, Spring): KAIST

Academic Activities

[Reviews]

• International Conference on Computer Vision (ICCV) 2021

• Conference on Computer Vision and Pattern Recognition (CVPR) 2021, 2022

• European Conference on Computer Vision (ECCV) 2022

• ACM Multimedia (ACM MM) 2018 Workshop

• Reviewer for Peer-Review Journals

  • IEEE Transactions on Medical Imaging (TMI)

  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

  • IEEE Signal Processing Letters (SPL)

  • IEEE Robotics and Automation Letters (RA-L)

  • International Journal of Remote Sensing (IJRS)

[Talks]

• Deep Learning Technology in Audio and Image

• The Present and Future of Deep Learning

[Organization]

• Organizing Chair at Workshop for Center for Applied Research in Artificial Intelligence (CARAI) 2021