1 code implementation • 17 Jan 2024 • Tudor Jianu, Baoru Huang, Tuan Vo, Minh Nhat Vu, Jingxuan Kang, Hoan Nguyen, Olatunji Omisore, Pierre Berthet-Rayne, Sebastiano Fichera, Anh Nguyen
Endovascular robots have been actively developed in both academia and industry.
no code implementations • 19 Nov 2023 • Chayun Kongtongvattana, Baoru Huang, Jingxuan Kang, Hoan Nguyen, Olajide Olufemi, Anh Nguyen
By computing the cosine similarity between these feature vectors, we gain a nuanced understanding of image similarity that goes beyond the limitations of traditional overlap-based measures.
1 code implementation • NeurIPS 2023 • Wenxuan Ma, Shuang Li, Lincan Cai, Jingxuan Kang
Therefore, to achieve data-efficient learning, researchers typically explore approaches that can leverage more related or unlabeled data without necessitating additional manual labeling efforts, such as Semi-Supervised Learning (SSL), Transfer Learning (TL), and Data Augmentation (DA).
no code implementations • 16 Apr 2023 • Jingxuan Kang, Tudor Jianu, Baoru Huang, Binod Bhattarai, Ngan Le, Frans Coenen, Anh Nguyen
In this paper, we propose a new method to translate simulation images from an endovascular simulator to X-ray images.
1 code implementation • ICCV 2023 • Wenxuan Ma, Shuang Li, Jinming Zhang, Chi Harold Liu, Jingxuan Kang, Yulin Wang, Gao Huang
To address this issue, this paper presents a novel approach that seeks to leverage linguistic knowledge for data-efficient visual learning.