Hongje Seong

📧 hjseong [at] yonsei.ac.kr
📍 C607, 3rd Eng. Bldg, 50 Yonsei-ro, Seodaemun-gu, Seoul, Korea, 03722
CV | Google Scholar | Github
Ph. D. Candidate, Yonsei University.
I am a Ph.D. student advised by Professor Euntai Kim, at Electrical and Electronic Engineering, Yonsei University. I earned my B.S. degree in Electrical and Electronic Engineering from Yonsei University in 2018. I was a research intern at Adobe Research (San Jose, CA) in 2021. During my internship, I worked at the Creative Intelligence Lab with Joon-Young Lee, Seoung Wug Oh, and Brian Price as my mentors.
I am broadly interested in computer vision. Specifically, my research interests include
- Image / Video Segmentation
- Image / Video Matting
- Image / Video Recognition
- Domain Adaptation / Generalization
- Image Retrieval / Place Recognition
selected publications
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Video Object Segmentation using Kernelized Memory Network with Multiple KernelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 (Accepted)
(IF: 16.389 in JCR2020) -
Graph-Based Point Tracker for 3D Object Tracking in Point CloudsAAAI Conference on Artificial Intelligence (AAAI), Feb, 2022
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Adjacent Feature Propagation Network (AFPNet) for Real-Time Semantic SegmentationIEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC), 2021 (Accepted)
(IF: 13.451 in JCR2020) -
Indoor Place Category Recognition for a Cleaning Robot by Fusing a Probabilistic Approach and Deep LearningIEEE Transactions on Cybernetics (TCYB), 2021 (Accepted)
(IF: 11.448 in JCR2020, * indicates equal contribution)