Seung-Hwan Bae
Inha University
H-index: 10
Asia-South Korea
Top articles of Seung-Hwan Bae
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Bridging the Knowledge Gap via Transformer-based Multi-Layer Correlation Learning | IEEE Access | Hun-Beom Bak Seung-Hwan Bae | 2024/4/11 |
Deformable Part Region Learning and Feature Aggregation Tree Representation for Object Detection | IEEE Transactions on Pattern Analysis and Machine Intelligence | Seung-Hwan Bae | 2023/4/20 |
Decode-MOT: How can we hurdle frames to go beyond tracking-by-detection? | IEEE Transactions on Image Processing | Seong-Ho Lee Dae-Hyeon Park Seung-Hwan Bae | 2023/7/28 |
AFI-GAN: Improving feature interpolation of feature pyramid networks via adversarial training for object detection | Pattern Recognition | Seong-Ho Lee Seung-Hwan Bae | 2023/6/1 |
Deformable Part Region Learning for Object Detection | Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22) | Seung-Hwan Bae | 2022 |
RT-MOT: Confidence-Aware Real-Time Scheduling Framework for Multi-Object Tracking Tasks | Donghwa Kang Seunghoon Lee Hoon Sung Chwa Seung-Hwan Bae Chang Mook Kang | 2022/12/5 | |
Effective Multi-Object Tracking via Global Object Models and Object Constraint Learning | Sensors | Yong-Sang Yoo Seong-Ho Lee Seung-Hwan Bae | 2022/10/18 |
A Self-Supervised Detector Scheduler for Efficient Tracking-by-Detection Mechanism | Journal of The Korea Society of Computer and Information | Dae-Hyeon Park Seong-Ho Lee SEUNGHWAN BAE | 2022/10 |
Ga3n: Generative adversarial autoaugment network | Pattern Recognition | Vanchinbal Chinbat Seung-Hwan Bae | 2022/7/1 |
SRF-GAN: Super-resolved feature GAN for multi-scale representation | arXiv preprint arXiv:2011.08459 | Seong-Ho Lee Seung-Hwan Bae | 2020/11/17 |
Online multi-object tracking with visual and radar features | IEEE Access | Seung-Hwan Bae | 2020/5/11 |
Generative adversarial ensemble learning for face forensics | Ieee Access | Jae-Yong Baek Yong-Sang Yoo Seung-Hwan Bae | 2020/3/4 |
Online Multi-Object Tracking by Learning Discriminative Appearance with Fourier Transform and Partial Least Square Analysis | Journal of The Korea Society of Computer and Information | Seong-Ho Lee Seung-Hwan Bae | 2020 |
Co-Authors
