About Me
I'm a Ph.D. candidate at KAIST, South Korea. My research is focused on solving computer vision problems using machine learning. I am especially interested in motion understanding, so I have been working on video-related topics.
How to deal with the lack of labeled datasets is where I have expertise. I have mainly studied optical flow estimation with deep learning in an unsupervised or semi-supervised manner. Recently, I presented two optical flow papers (UnsupSimFlow and FlowSupervisor) at top-tier vision conferences; the two papers are related to unsupervised learning and semi-supervised learning, which are crucial in optical flow learning. I want to research similar topics related to motion understanding and label-efficient learning in the future.
Not only on the topics mentioned above, I'm knowledgeable about general computer vision tasks and robotics. I have implemented my code using Python, C++ with OpenCV, Tensorflow (1 and 2), and Pytorch while participating in many vision-related projects: face recognition, 3D teleportation, and multi-view line matching.
Award
- Naver Ph.D Fellowship Award, 2022.
- Finalist at Qualcomm Innovation Fellowship Korea (QIFK), 2020.
Education
- KAIST, Ph.D., Computer Science2018-current
- Advisor: Professor Sung-Eui Yoon
- KAIST, M.S., Computer Science2016-2018
- Advisor: Professor Hyun Seung Yang
- Yonsei University, B.S., Computer Science2012-2016
Publications
- Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data arXiv preprint
- Scenario Generation by Action Scene-Graph Prediction Korea Software Congress (KSC)
- Semi-Supervised Learning of Optical Flow by Flow Supervisor European Conference on Computer Vision (ECCV)
- In-N-Out: Towards Good Initialization for Inpainting and Outpainting British Machine Vision Conference (BMVC)
- Self-Supervised Visual Odometry via Frame Interpolation Korea Robotics Society Annual Conference (KRoC)
- Unsupervised Learning of Optical Flow with Deep Feature Similarity European Conference on Computer Vision (ECCV)
- Combined Center Dispersion Loss Function for Deep Facial Expression Recognition Pattern Recognition Letters
- Two-stream Spatiotemporal Feature for Video QA Task https://arxiv.org/abs/1907.05006
- Acoustic Material Estimation with Convolutional Neural Network Korea Robotics Society Annual Conference (KRoC)
- An Application of Convolutional-LSTM Network and Video QA Korea Computer Congress (KCC)
- Scale-Varying Triplet Ranking with Classification Loss for Facial Age Estimation Asian Conference on Computer Vision (ACCV)
- CBVMR: Content-Based Video-Music Retrieval Using Soft Intra-Modal Structure Constraint Proceedings of the ACM international conference on Multimedia Retrieval (ICMR)
- D3: Recognizing dynamic scenes with deep dual descriptor based on key frames and key segments Neurocomputing
-
SSPP-DAN: Deep Domain Adaptation Network for Face Recognition with Single Sample Per Person
International Conference on Image Processing (ICIP'17), IEEE
Oral [paper]
- Convolutional Texture Networks based on Histogram Pooling
- Image-text multi-modal representation learning by adversarial backpropagation arXiv preprint arXiv:1612.08354
- Deep CNN-based Person Identification using Facial and Clothing Features Jun 2016, Summer General Conference '16, IEEK
Patents
- Using Triplet-based Loss for Training Ordinal Classification Deep Models [detail]
- Partial Face Based Person Identification Across Poses [detail]
Projects
- Rendering for teleportaion in AR devices
- Mar 2018 - Dec 2020, funded by National Research Foundation (NRF)
- Lab website renovation, Dec 2019 (sgvr.kaist.ac.kr)
- Age, gender, and expression recognition using face images
- Dec 2016 - Feb 2018, funded by Korea Advanced Institute of Science and Technology
- Multi-view Face Recognition based on Deep Learning
- May 2016 - May 2017, funded by Electronics and Telecommunications Research Institute (ETRI)
Experiences
- Teaching Assistants
- GSAG-KAIST Research and Education Program, 1/2019-2/2019
- CS206: Data Structure (Spring 2019), 3/2019-6/2019
- CS688: Web-Scale Image Retrieval (Fall 2018), 9/2018-12/2018
- CS101: Introduction to Programming, 9/2016-12/2017, 9/2018-12/2018
- Undergraduate Research Assistant
- DB Lab, Yonsei University, 1/2014-2/2014