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2020 – today
- 2026
[j4]Dae-Hyeon Park
, Mina Baek, Seung-Hwan Bae:
Gated side adapters with memory-efficient fine tuning for RGB-T tracking. ICT Express 12(2): 523-529 (2026)- 2025
- [j3]Se-Gwon Cheon, Hyuk-Jin Shin, Seung-Hwan Bae:
Region-aware knowledge distillation between monocular camera-based 3D object detectors. ICT Express 11(4): 696-702 (2025) - [j2]Jamshidjon Ganiev, Deok-Woong Kim, Seung-Hwan Bae:
Neural-NGBoost: Natural gradient boosting with neural network base learners. ICT Express 11(5): 974-980 (2025) - [j1]Seung-Hwan Bae, Hyuk-Jae Lee, Hyun Kim:
MCM-SR: Multiple Constant Multiplication-Based CNN Streaming Hardware Architecture for Super-Resolution. IEEE Trans. Very Large Scale Integr. Syst. 33(1): 75-87 (2025) - 2022
- [c5]Seung-Hwan Bae:
Deformable Part Region Learning for Object Detection. AAAI 2022: 95-103 - [c4]Donghwa Kang, Seunghoon Lee, Hoon Sung Chwa, Seung-Hwan Bae, Chang Mook Kang, Jinkyu Lee, Hyeongboo Baek:
RT-MOT: Confidence-Aware Real-Time Scheduling Framework for Multi-Object Tracking Tasks. RTSS 2022: 318-330 - [i3]Donghwa Kang, Seunghoon Lee, Hoon Sung Chwa, Seung-Hwan Bae, Chang Mook Kang, Jinkyu Lee, Hyeongboo Baek:
RT-MOT: Confidence-Aware Real-Time Scheduling Framework for Multi-Object Tracking Tasks. CoRR abs/2210.11946 (2022) - 2021
- [c3]Seung-Hwan Bae, Hyuk-Jae Lee, Hyun Kim:
DC-AC: Deep Correlation-Based Adaptive Compression of Feature Map Planes in Convolutional Neural Networks. ISCAS 2021: 1-5 - [c2]Seung-Hwan Bae, Hyuk-Jae Lee, Hyun Kim:
Cache Compression with Golomb-Rice Code and Quantization for Convolutional Neural Networks. ISCAS 2021: 1-5
2010 – 2019
- 2019
- [c1]Seung-Hwan Bae:
Object Detection Based on Region Decomposition and Assembly. AAAI 2019: 8094-8101 - [i2]Seung-Hwan Bae:
Object Detection based on Region Decomposition and Assembly. CoRR abs/1901.08225 (2019) - 2017
- [i1]Seung-Hwan Bae, Youngwan Lee, Youngjoo Jo, Yuseok Bae, Joong-won Hwang:
Rank of Experts: Detection Network Ensemble. CoRR abs/1712.00185 (2017)
Coauthor Index
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