About
My research focus on visual recognition and robotics through data efficient learning. Recently, i am particularly interested in LLM for robotic manipulation.
Research interests: image segmentation, object centric learning, robotic manipulation, LLM.
Education
- Ph.D., Computer Science, KAIST.2020/3-present
- Advisor: Professor Sung-Eui Yoon
- M.S., in Computer Engineering, Inha University.2018/2-2020/2
- Advisor: Professor Byeong-Seok Shin
- B.S., Information Security, Chongqing University of Posts & Telecommunications2013/9-2017/6
Publication
- OpenSlot: Mixed Open-Set Recognition with Object-Centric Learning IEEE Transactions on Multimedia (TMM) (appear soon), 2024
- Fine-grained Background Representation for Weakly Supervised Semantic Segmentation IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024
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MoDA: Leveraging Motion Prior from Videos for Advancing Unsupervised Domain Adaptation in Semantic Segmentation.
Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2024
Best Paper Award in Learning with Limited Labelled Data for Image and Video Understanding.
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MacDC: Masking-augmented Collaborative Domain Congregation for Multi-target Domain Adaptation in Semantic Segmentation
IEEE Intelligent Vehicles Symposium (IV), 2024
Best Paper Nominated
- A novel semi-supervised model for pre-impact fall detection with limited fall data Engineering Applications of Artificial Intelligence (EAAI), 2024
2024
2022
Contour-Aware Equipotential Learning for Semantic Segmentation
IEEE Transactions on Multimedia (TMM), 2022
2020
Medical Image Processing with Contextual Style Transfer
Human-centric Computing and Information Sciences (HCIS), 2020
2019
TGV Upsampling: A Making‐Up Operation for Semantic Segmentation
Computational Intelligence and Neuroscience, 2019
Experience
- Teaching Assistants
- CSE2104: Internet Programming, 02/2018-06/2018
- CSE1101: Objective Programming (C++), 02/2018-12/2019
- Reviewer
- TMM, TNNLS, etc.