 | AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation T. Hanyu*, K. Yamazaki*, M. Tran, R. McCann, H. Liao, C. Rainwater, M. Adkins, J. Cothren, N. Le, Remote Sensing, 2024. |
Publications
For the up-to-date publication list, please visit the Google Scholar page.Filter by type:
2024
 | R2-Bench: Benchmarking the Robustness of Referring Perception Models under Perturbations X. Li, K. Qiu, J. Wang, X. Xu, R. Singh, K. Yamazaki, H. Chen, X. Huang, B. Raj, Arxiv, 2024. |
 | Open-Fusion: Real-time Open-Vocabulary 3D Mapping and Queryable Scene Representation K. Yamazaki, T. Hanyu, K. Vo, T. Pham, M. Tran, G. Doretto, A. Nguyen, N. Le, ICRA 2024, 2024. |
2023
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 | CLIP-TSA: CLIP-Assisted Temporal Self-Attention for Weakly-Supervised Video Anomaly Detection K. Joo, K. Vo, K. Yamazaki, N. Le, International Conference on Image Processing (ICIP), 2023. |
2022
 | K. Vo, S. Truong*, K. Yamazaki*, B. Raj, MT. Tran, N. Le, International Journal of Computer Vision (IJCV), 2022. |
 | AISFormer: Amodal Instance Segmentation with Transformer M. Tran, K. Vo, K. Yamazaki, A. Fernandes, M. Kidd, N. Le, The British Machine Vision Conference (BMVC), 2022. |
 | Spiking neural networks and their applications: A Review K. Yamazaki, K. Vo-Ho, D. Bulsara, N. Le, Brain Sciences, 2022. |
2021
 | ABN: Agent-Aware Boundary Networks for Temporal Action Proposal Generation K. Vo, K. Yamazaki, S. Truong, M.-T. Tran, A. Sugimoto, and N. Le, IEEE Access, 2021. |
 | Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey N. Le, V. Rathour, K. Yamazaki, K. Luu, and M. Savvides, Artificial Intelligence Review, 2021. |
 | Narrow Band Active Contour Attention Model for Medical Segmentation N. Le, T. Bui, K. Vo-Ho, K. Yamazaki, K. Luu, Diagnostics, 2021. |
2020
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| | Open-Fusion: Real-time Open-Vocabulary 3D Mapping and Queryable Scene Representation K. Yamazaki, T. Hanyu, K. Vo, T. Pham, M. Tran, G. Doretto, A. Nguyen, N. Le, ICRA 2024, 2024. |
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| | CLIP-TSA: CLIP-Assisted Temporal Self-Attention for Weakly-Supervised Video Anomaly Detection K. Joo, K. Vo, K. Yamazaki, N. Le, International Conference on Image Processing (ICIP), 2023. |
| | AISFormer: Amodal Instance Segmentation with Transformer M. Tran, K. Vo, K. Yamazaki, A. Fernandes, M. Kidd, N. Le, The British Machine Vision Conference (BMVC), 2022. |
| | AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation T. Hanyu*, K. Yamazaki*, M. Tran, R. McCann, H. Liao, C. Rainwater, M. Adkins, J. Cothren, N. Le, Remote Sensing, 2024. |
| | K. Vo, S. Truong*, K. Yamazaki*, B. Raj, MT. Tran, N. Le, International Journal of Computer Vision (IJCV), 2022. |
| | Spiking neural networks and their applications: A Review K. Yamazaki, K. Vo-Ho, D. Bulsara, N. Le, Brain Sciences, 2022. |
| | ABN: Agent-Aware Boundary Networks for Temporal Action Proposal Generation K. Vo, K. Yamazaki, S. Truong, M.-T. Tran, A. Sugimoto, and N. Le, IEEE Access, 2021. |
| | Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey N. Le, V. Rathour, K. Yamazaki, K. Luu, and M. Savvides, Artificial Intelligence Review, 2021. |