연구실적

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- Fair‑VPT: Fair Visual Prompt Tuning, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2024

- Task-aware Network: Mitigation of Task-aware and Task-free Performance Gap in Online Continual Learning, Neurocomputing, Oct. 2023

- Expert‑guided Contrastive Learning for Video‑text Retrieval, Neurocomputing, June 2023

- Fair Classification By Loss Balancing via Fairness‑aware Batch Sampling, Neurocomputing, Jan. 2023

- Return of the Normal Distribution: Flexible Deep Continual Learning with Variational Auto‑encoders, Neural Network, Oct. 2022

- Fair Contrastive Learning for Facial Attribute Classification, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2022

- Mitigating Inter‑subject Brain Signal Variability for EEG‑based Driver Fatigue State Classification, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), June 2021

- Learning Disentangled Representation for Fair Facial Attribute Classification via Fairness‑aware Information Alignment, AAAI Conference on Artificial Intelligence (AAAI), Feb. 2021

- Learning Subject‑independent Representation for EEG‑based Drowsy Driving Detection, International Winter Conference on Brain‑Computer Interface (BCI), Feb. 2021

- Fair‑VQA: Fairness‑aware Visual Question Answering through Sensitive Attribute Prediction, IEEE Access, Dec. 2020

- Exploiting Transferable Knowledge for Fairness‑aware Image Classification, Asian Conference on Computer Vision (ACCV), Nov. 2020

- FairFaceGAN: Fairness‑aware Facial Image‑to‑Image Translation, British Machine Vision Conference (BMVC), Sep. 2020

- Selective residual learning for Visual Question Answering, Neurocomputing, Aug. 2020