Publication
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This is my all publication and preprint through my academic path.
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†: Equal Distribution
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2026 | Hoang-Son Vo, Bui Van Hung, Mai Duc Minh Huy, Mai Tien Dung, Soo-Hyung Kim. “CHASMBrain: Coarse-to-fine Hierarchical Architecture with Sequential Mamba for Brain Reconstruction”. (Under review) |
2025 | • Hoang-Son Vo, Karina Kolmogortseva, Ngumimi Karen Iyortsuun, Hong-Duyen Vo, Soo-Hyung Kim. “GlobalizeEd: A Multimodal Translation System that Preserves Speaker Identity in Academic Lectures”. (Under review)
• Hoang-Son Vo, Quang-Vinh Nguyen, Minh-Duc Nguyen, Soo-Huyng Kim. “Image Sequentialization via Mamba-based Encoder for Contrastive Radiology Report Generation”.
(Under review)
• Hoang-Son Vo, Hyung-Jeong Yang and Soo-Hyung Kim. “Emotionally Disentangled Talking Head Generation with Vector Quantization and Attention Fusion”. (Under review)
• Hoang-Son Vo, Quang-Vinh Nguyen, Soonja Yeom, and Soo-Hyung Kim. “ATL-Diff: Audio-Driven Talking Head Generation with Early Landmarks-Guide Noise Diffusion” 2025 IEEE Internaltional Conference on Advanced Visual and Signal Based System (AVSS 2025) Tainan, Taiwan, 2025
• Quang Vinh Nguyen, Minh Duc Nguyen, Hoang-Son Vo, Hyung-Jeong Yang, and Soo-Hyung Kim, "ANATOMICAL ATTENTION ALIGNMENT REPRESENTATION FOR RADIOLOGY REPORT GENERATION” 2025 IEEE International Conference on Image Processing (ICIP 2025), Anchorage, Alaska, 2025 |
2024: | • Hoang-Son Vo, Quang-Vinh Nguyen, and Soo-Hyung Kim. "KAN-Based Fusion of Dual-Domain for Audio-Driven Facial Landmarks Generation." arXiv preprint arXiv:2409.05330 (2024)
• Quang Vinh Nguyen, Hoang-Son Vo, Sae-Ryung Kang and Soo-Hyung Kim, "Polyp-SES: Automatic Polyp Segmentation with Self-Enriched Semantic Model," Proc. Asian Conf. Computer Vision (ACCV 2024), Hanoi, Vietnam, 2024. doi.org/10.1007/978-981-96-0901-7_11
• Hoang-Son Vo, Nguyen, Q.-V., Yang, H.-J., Shin, J., Kim, S.-H., n.d. “Individual Audio-Driven Talking Head Generation based on Sequence of Landmark.” in ACK 2024: Annual Conference of KIPS, pp. 553-556, Gwangju, Korea. 2024. https://doi.org/10.3745/PKIPS.y2024m10a.553
• Quang Vinh Nguyen, Hoang-Son Vo, Hoang Chau Truong Vinh, Duc Duy Nguyen, Nhat Huy Nguyen Minh and Soo-Hyung Kim, "Rethinking Top Probability from Multi-view for Distracted Driver Behavior Localization," Proc. 12th Int. Conf. Bigdata Applications and Services (BIGDAS 2024), pp. 103-112, Jeju, Korea, Aug. 2024. (Best Paper Award) |
2023: | • Nhu-Tai Do†, Hoang-Son Vo†, Tram-Tran Nguyen-Quynh†, and Soo-Hyung Kim, "3D-DDA: 3D Dual-Domain Attention for Brain Tumor Segmentation," 2023 IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia, 2023, pp. 3215-3219, https://doi.org/10.1109/ICIP49359.2023.10222602
• Hoang-Son Vo, Tram-Tran Nguyen-Quynh, Nhu-Tai Do, and Soo-Hyung Kim, “3D Dual-Fusion Attention Network: A fusion attention network for Brain Tumor Segmentation,” in ASK 2023 : Annual Spring Conference of KIPS, pp. 496–498, 2023. https://doi.org/10.3745/PKIPS.y2023m05a.496
• Tai Do Nhu†, Hoang-Son Vo†, Tram Tran Nguyen Quynh, Huy Nguyen Thanh, Thanh Nguyen Thi Ngoc, Huy Nguyen Quoc and Soo-Hyung Kim, “Brain Tumor segmentation based on deep supervision and context feature fusion”, The 16th National Conference on Fundamental and Applied IT Research, FAIR'2023. https://doi.org/110.15625/vap.2023.0017
• Hoang-Son Vo, Tram Tran Nguyen Quynh, Huy Nguyen Quoc and Tai Do Nhu, “DCDynUnet: Deep Supervision Attention Context for Brain Segmentation”, in Advances in Information and Communication Technology, ICTA 2023. Lecture Notes in Networks and Systems, vol 847. Springer, https://doi.org/10.1007/978-3-031-49529-817. |