Hongje Seong
📧 hjseong118 [at] gmail.com
📍 130, Samsung-ro, Yeongtong-gu, Suwon-si, Gyeonggi-do, 16678, Korea
CV | Google Scholar | Github
I am a Staff Researcher at Samsung Advanced Institute of Technology (SAIT).
I received my Ph.D. and B.S. degrees in Electrical and Electronic Engineering from Yonsei University in 2023 and 2018, respectively, advised by Professor Euntai Kim. 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.
selected publications
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Fallen Person Detection for Autonomous DrivingExpert Systems With Applications (ESWA), Mar, 2023
(IF: 8.665 in JCR2021) -
Video Object Segmentation using Kernelized Memory Network with Multiple KernelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Feb, 2023
(IF: 24.314 in JCR2021) -
Adjacent Feature Propagation Network (AFPNet) for Real-Time Semantic SegmentationIEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC), Sep, 2022
(IF: 11.471 in JCR2021) -
Indoor Place Category Recognition for a Cleaning Robot by Fusing a Probabilistic Approach and Deep LearningIEEE Transactions on Cybernetics (TCYB), Aug, 2022
(IF: 19.118 in JCR2021, * indicates equal contribution) -
Graph-Based Point Tracker for 3D Object Tracking in Point CloudsAAAI Conference on Artificial Intelligence (AAAI), Feb, 2022
(Acceptance: 1349/9020 ≈ 15.0%) -
Universal Pooling - A New Pooling Method for Convolutional Neural NetworksExpert Systems With Applications (ESWA), Oct, 2021
(IF: 6.954 in JCR2020) -
Kernelized Memory Network for Video Object SegmentationEuropean Conference on Computer Vision (ECCV), Aug, 2020
(Acceptance: 1361/5025 ≈ 27.1%)
3rd Place Award in DAVIS20 Challenge (CVPRW-DAVIS 2020)