Real-time background subtraction based on GPGPU for high-resolution video surveillance. - Sunhee Hwang; Youngjung Uh; Minsong Ki; Kwangyong Lim; Daeyong Park; Hyeran Byun (IMCOM, 2017)

EZSL-GAN: EEG-based Zero-Shot Learning approach using a Generative Adversarial Network. - Sunhee Hwang; Kibeom Hong; Guiyoung Son; Hyeran Byun (BCI, 2019)

NTIRE 2019 Image Dehazing Challenge Report. - Codruta O. Ancuti; Cosmin Ancuti; Radu Timofte; Luc Van Gool; Lei Zhang 006; Ming-Hsuan Yang 001; Tiantong Guo; Xuelu Li; Venkateswararao Cherukuri; Vishal Monga; Hao Jiang 014; Siyuan Yang 001; et al. (CVPR Workshops, 2019)

Exploiting Transferable Knowledge for Fairness-Aware Image Classification. - Sunhee Hwang; Sungho Park; Pilhyeon Lee; Seogkyu Jeon; Dohyung Kim 004; Hyeran Byun (ACCV (4), 2020)

Subject-Independent EEG-based Emotion Recognition using Adversarial Learning. - Sunhee Hwang; Minsong Ki; Kibeom Hong; Hyeran Byun (BCI, 2020)

FairFaceGAN: Fairness-aware Facial Image-to-Image Translation. - Sunhee Hwang; Sungho Park; Dohyung Kim 004; Mirae Do; Hyeran Byun (BMVC, 2020)

Unsupervised Image-to-Image Translation Via Fair Representation of Gender Bias. - Sunhee Hwang; Hyeran Byun (ICASSP, 2020)

Resampling Strategy for Mitigating Unfairness in Face Attribute Classification. - Dohyung Kim 004; Sungho Park; Sunhee Hwang; Minsong Ki; Seogkyu Jeon; Hyeran Byun (ICTC, 2020)

Fair-VQA: Fairness-Aware Visual Question Answering Through Sensitive Attribute Prediction. - Sungho Park; Sunhee Hwang; Jongkwang Hong; Hyeran Byun (IEEE Access, 2020)

README: REpresentation learning by fairness-Aware Disentangling MEthod. - Sungho Park; Dohyung Kim 004; Sunhee Hwang; Hyeran Byun (CoRR, 2020)

Learning CNN features from DE features for EEG-based emotion recognition. - Sunhee Hwang; Kibeom Hong; Guiyoung Son; Hyeran Byun (Pattern Anal. Appl., 2020)

Learning Disentangled Representation for Fair Facial Attribute Classification via Fairness-aware Information Alignment. - Sungho Park; Sunhee Hwang; Dohyung Kim 004; Hyeran Byun (AAAI, 2021)

Subject Adaptive EEG-Based Visual Recognition. - Pilhyeon Lee; Sunhee Hwang; Seogkyu Jeon; Hyeran Byun (ACPR (2), 2021)

Learning Subject-independent Representation for EEG-based Drowsy Driving Detection. - Sunhee Hwang; Pilhyeon Lee; Sungho Park; Hyeran Byun (BCI, 2021)

Mitigating Inter-Subject Brain Signal Variability FOR EEG-Based Driver Fatigue State Classification. - Sunhee Hwang; Sungho Park; Dohyung Kim 004; Jewook Lee; Hyeran Byun (ICASSP, 2021)

Inter-subject Contrastive Learning for Subject Adaptive EEG-based Visual Recognition. - Pilhyeon Lee; Sunhee Hwang; Jewook Lee; Minjung Shin; Seogkyu Jeon; Hyeran Byun (BCI, 2022)

Fair Contrastive Learning for Facial Attribute Classification. - Sungho Park; Jewook Lee; Pilhyeon Lee; Sunhee Hwang; Dohyung Kim 004; Hyeran Byun (CVPR, 2022)

Cut And Continuous Paste Towards Real-Time Deep Fall Detection. - Sunhee Hwang; Minsong Ki; Seung-Hyun Lee; Sanghoon Park; Byoung-Ki Jeon (ICASSP, 2022)

WeatherGAN: Unsupervised multi-weather image-to-image translation via single content-preserving UResNet generator. - Sunhee Hwang; Seogkyu Jeon; Yu-Seung Ma; Hyeran Byun (Multim. Tools Appl., 2022)

Source-free Subject Adaptation for EEG-based Visual Recognition. - Pilhyeon Lee; Seogkyu Jeon; Sunhee Hwang; Minjung Shin; Hyeran Byun (BCI, 2023)

Fair classification by loss balancing via fairness-aware batch sampling. - Dohyung Kim 004; Sungho Park; Sunhee Hwang; Hyeran Byun (Neurocomputing, 2023)

ChatGPT and Its Educational Impact: Insights from a Software Development Competition. - Sunhee Hwang; Yudoo Kim; Heejin Lee (CoRR, 2024)