Seung-Hwan Bae

12 papers A* 2A 1C 2Journal 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Gated side adapters with memory-efficient fine tuning for RGB-T tracking.
ICT Express
Dae-Hyeon Park, Mina Baek, Seung-Hwan Bae
2025 J jnl
MCM-SR: Multiple Constant Multiplication-Based CNN Streaming Hardware Architecture for Super-Resolution.
IEEE Trans. Very Large Scale Integr. Syst.
Seung-Hwan Bae, Hyuk-Jae Lee, Hyun Kim
2025 J jnl
Neural-NGBoost: Natural gradient boosting with neural network base learners.
ICT Express
Jamshidjon Ganiev, Deok-Woong Kim, Seung-Hwan Bae
2025 J jnl
Region-aware knowledge distillation between monocular camera-based 3D object detectors.
ICT Express
Se-Gwon Cheon, Hyuk-Jin Shin, Seung-Hwan Bae
2022 A* conf
Deformable Part Region Learning for Object Detection.
AAAI
Seung-Hwan Bae
2022 A conf
RT-MOT: Confidence-Aware Real-Time Scheduling Framework for Multi-Object Tracking Tasks.
RTSS
Donghwa Kang, Seunghoon Lee, Hoon Sung Chwa, Seung-Hwan Bae, Chang Mook Kang, Jinkyu Lee, Hyeongboo Baek
2022 J jnl
RT-MOT: Confidence-Aware Real-Time Scheduling Framework for Multi-Object Tracking Tasks.
CoRR
Donghwa Kang, Seunghoon Lee, Hoon Sung Chwa, Seung-Hwan Bae, Chang Mook Kang, Jinkyu Lee, Hyeongboo Baek
2021 C conf
Cache Compression with Golomb-Rice Code and Quantization for Convolutional Neural Networks.
ISCAS
Seung-Hwan Bae, Hyuk-Jae Lee, Hyun Kim
2021 C conf
DC-AC: Deep Correlation-Based Adaptive Compression of Feature Map Planes in Convolutional Neural Networks.
ISCAS
Seung-Hwan Bae, Hyuk-Jae Lee, Hyun Kim
2019 A* conf
Object Detection Based on Region Decomposition and Assembly.
AAAI
Seung-Hwan Bae
2019 J jnl
Object Detection based on Region Decomposition and Assembly.
CoRR
Seung-Hwan Bae
2017 J jnl
Rank of Experts: Detection Network Ensemble.
CoRR
Seung-Hwan Bae, Youngwan Lee, Youngjoo Jo, Yuseok Bae, Joong-Won Hwang