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Dinh Phu Tran¹, Dao Duy Hung¹, Daeyoung Kim¹
Published in , 2009
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Published in International Conference on Control, Automation and Information Cciences (ICCAIS), 2022
This paper is about transformer-based medical image super-resolution
Recommended citation: Tran, Dinh-Phu, et al. Trans2Unet: neural fusion for nuclei semantic segmentation. 2022 11th international conference on control, automation and information sciences (ICCAIS). IEEE, 2022.
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Published in British Machine Vision Conf. (BMVC) — Glasgow, UK (Rank A), 2024
This paper is about transformer-based image super-resolution
Recommended citation: Tran, Dinh Phu, Dao Duy Hung, and Daeyoung Kim. Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution. 35th The British Machine Vision Conference (BMVC), 2024
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Published in AAAI Conf. on Artificial Intelligence (AAAI), Social Track — Philadelphia, USA (Rank A*), 2024
This paper is about creating OCR dataset for Vietnamese
Recommended citation: Do, Thao, et al. Reference-Based Post-OCR Processing with LLM for Precise Diacritic Text in Historical Document Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 39. No. 27. 2025.
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Published in International Conf. on Computer Vision (ICCV) — Hawaii, USA (Rank A*), 2025
This paper is about Mamba-based for Efficient Video Super-Resolution
Recommended citation: Phu Tran, Dinh, Dao Duy Hung, and Daeyoung Kim. VSRM: A Robust Mamba-Based Framework for Video Super-Resolution. International Conference on Computer Vision (ICCV), 2025
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Published in Patent — Under review, 2026
A video super-resolution technique leveraging a spatial-temporal Mamba architecture.
Recommended citation: Dinh Phu Tran et al. "Video Super-Resolution Technique Leveraging Spatial-Temporal Mamba Architecture." Patent (under review), 2026.
Published in IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), Finding Track — Denver, USA (Rank A*), 2026
A selective aggregation transformer that adaptively fuses multi-scale features for efficient single image super-resolution.
Recommended citation: Dinh Phu Tran, Thao Do, Saad Wazir, Seongah Kim, Seon Kwon Kim, and Daeyoung Kim. "SAT: Selective Aggregation Transformer for Image Super-Resolution." IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
Published in Under review, 2026
Using text as a semantic bridge for parameter-efficient finetuning of audio-visual models.
Recommended citation: Seongah Kim, Dinh Phu Tran, Hyeontaek Hwang, Saad Wazir, Duc Do Minh, and Daeyoung Kim. "TB-AVA: Text as a Semantic Bridge for Audio-Visual Parameter Efficient Finetuning." Under review, 2026.
Published in Under review, 2026
Adaptive confidence refinement for reliable audio-visual question answering — learning when to answer and when to abstain.
Recommended citation: Dinh Phu Tran, Jihoon Jeong, Saad Wazir, Seongah Kim, Thao Do, Cem Subakan, and Daeyoung Kim. "Knowing When to Answer: Adaptive Confidence Refinement for Reliable Audio-Visual Question Answering." Under review, 2026.
Published in International Conf. on Machine Learning (ICML) Workshop — Seoul, South Korea, 2026
Encoder-only context compression using marginal contribution scoring for efficient long-context modeling.
Recommended citation: Thao Do, Dinh Phu Tran, An Vo, Seon Kwon Kim, and Daeyoung Kim. "Efficient Encoder-Only Context Compression via Marginal Contribution Scoring." ICML Workshop, 2026.
Published in European Conf. on Computer Vision (ECCV) — Malmö, Sweden (Rank A*), 2026
Frequency-guided orthogonal expert learning for robust real-world image super-resolution.
Recommended citation: Minh Son Hoang*, Dinh Phu Tran*, Quyen Nguyen Duc, Dam Hoang Phuong, and Daeyoung Kim. "FreqOrtho-SR: Frequency-Guided Orthogonal Expert Learning for Real-World Image Super-Resolution." European Conference on Computer Vision (ECCV), 2026. (* equal contribution)
Published in European Conf. on Computer Vision (ECCV) — Malmö, Sweden (Rank A*), 2026
A context-aware gated decoder for robust medical image segmentation.
Recommended citation: Saad Wazir, Patrick Vibild, Dinh Phu Tran, Seongah Kim, and Daeyoung Kim. "MedCAGD: Context-Aware Gated Decoder for Robust Medical Image Segmentation." European Conference on Computer Vision (ECCV), 2026.
Published:
Invited guest lecture in CS632 (Embedded Operating Systems) at KAIST, covering image and video super-resolution and its real-world applications.