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Hojun Song My research interests are 3D computer vision and scene reconstruction, and I am a first-year PhD candidate in Video Intelligence Lab (VILAB) in Department of Computer Science and Engineering at Kyungpook National University, Korea. |
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Research |
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Compression Framework for Light 3D Scene Graph Generation via Pruning-As-Search and Distillation
Hojun Song*, Chae-yeong Song*, Dong-hun Lee, Heejung Choi, Jinwoo Jeong, Sungjei Kim, and Sang-hyo Park† IEEE Transactions on Multimedia, 2026 project page / paper / code A lightweight compression framework for GNN-based 3D scene graph generation that integrates pruning-as-search and knowledge distillation to reduce computational complexity while preserving classification performance. |
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Condition-based Synthetic Dataset for Amodal Segmentation of Occluded Cucumbers in Agricultural Images
Jin-Ho Son*, Hojun Song, Chae-yeong Song, Minse Ha, Dabin Kang, and Yu-Shin Ha† Computers and Electronics in Agriculture, 2025 paper / code A condition-based synthetic dataset generation framework for amodal segmentation that models realistic occlusion and illumination variations to improve robust crop segmentation in agricultural environments. |
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Automatic Classification of Disaster Images Based on Deep Learning
Hojun Song*, Dong-hun Lee, Han-Gyul Baek, Byungjun Bae, and Sang-hyo Park† Journal of Korean Institute of Communications and Information, 2023 paper |
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Template adapted from Jon Barron's public academic website. |