Joint Initialization and Tracking of Multiple Moving Objects Using Doppler Information. - Ju Hong Yoon; Du Yong Kim; Seung Hwan Bae; Vladimir Shin (IEEE Trans. Signal Process., 2011)

Robust Online Multi-object Tracking Based on Tracklet Confidence and Online Discriminative Appearance Learning. - Seung Hwan Bae; Kuk-Jin Yoon (CVPR, 2014)

Robust Online Multiobject Tracking With Data Association and Track Management. - Seung Hwan Bae; Kuk-Jin Yoon (IEEE Trans. Image Process., 2014)

Polyp Detection via Imbalanced Learning and Discriminative Feature Learning. - Seung Hwan Bae; Kuk-Jin Yoon (IEEE Trans. Medical Imaging, 2015)

Learning Discriminative Appearance Models for Online Multi-Object Tracking With Appearance Discriminability Measures. - Seong-Ho Lee; Myung-Yun Kim; Seung Hwan Bae (IEEE Access, 2018)

Confidence-Based Data Association and Discriminative Deep Appearance Learning for Robust Online Multi-Object Tracking. - Seung Hwan Bae; Kuk-Jin Yoon (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Adversarial Learning With Knowledge of Image Classification for Improving GANs. - Jae-Yong Baek; Yong-Sang Yoo; Seung Hwan Bae (IEEE Access, 2019)

Online Multi-Object Tracking With Visual and Radar Features. - Seung Hwan Bae (IEEE Access, 2020)

Generative Adversarial Ensemble Learning for Face Forensics. - Jae-Yong Baek; Yong-Sang Yoo; Seung Hwan Bae (IEEE Access, 2020)

SRF-GAN: Super-Resolved Feature GAN for Multi-Scale Representation. - Seong-Ho Lee; Seung Hwan Bae (CoRR, 2020)

GA3N: Generative adversarial AutoAugment network. - Vanchinbal Chinbat; Seung Hwan Bae (Pattern Recognit., 2022)

Effective Multi-Object Tracking via Global Object Models and Object Constraint Learning. - Yong-Sang Yoo; Seong-Ho Lee; Seung Hwan Bae (Sensors, 2022)

Decode-MOT: How Can We Hurdle Frames to Go Beyond Tracking-by-Detection? - Seong-Ho Lee; Dae-Hyeon Park; Seung Hwan Bae (IEEE Trans. Image Process., 2023)

AFI-GAN: Improving feature interpolation of feature pyramid networks via adversarial training for object detection. - Seong-Ho Lee; Seung Hwan Bae (Pattern Recognit., 2023)

Deformable Part Region Learning and Feature Aggregation Tree Representation for Object Detection. - Seung Hwan Bae (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A New Multi-Source Light Detection Benchmark and Semi-Supervised Focal Light Detection. - Jae-Yong Baek; Yong-Sang Yoo; Seung Hwan Bae (NeurIPS, 2024)

Bridging the Knowledge Gap via Transformer-Based Multi-Layer Correlation Learning. - Chung Hun Baek; Seung Hwan Bae (IEEE Access, 2024)