Zobrazeno 1 - 10
of 10 309
pro vyhledávání: '"Wang, Qiong."'
Autor:
Giudici, Andrea, Huang, Weicheng, Wang, Qiong, Wang, Yuzhe, Liu, Mingchao, Tawfick, Sameh, Vella, Dominic
A symmetrically-buckled arch whose boundaries are clamped at an angle has two stable equilibria: an inverted and a natural state. When the distance between the clamps is increased (i.e. the confinement is decreased) the system snaps from the inverted
Externí odkaz:
http://arxiv.org/abs/2411.13971
Diffusion Probabilistic Models have recently attracted significant attention in the community of computer vision due to their outstanding performance. However, while a substantial amount of diffusion-based research has focused on generative tasks, no
Externí odkaz:
http://arxiv.org/abs/2409.07238
Autor:
Zhou, Haipeng, Wang, Honqiu, Ye, Tian, Xing, Zhaohu, Ma, Jun, Li, Ping, Wang, Qiong, Zhu, Lei
Video Shadow Detection (VSD) aims to detect the shadow masks with frame sequence. Existing works suffer from inefficient temporal learning. Moreover, few works address the VSD problem by considering the characteristic (i.e., boundary) of shadow. Moti
Externí odkaz:
http://arxiv.org/abs/2408.11785
Autor:
Luo, Luyang, Wu, Mingxiang, Li, Mei, Xin, Yi, Wang, Qiong, Vardhanabhuti, Varut, Chu, Winnie CW, Li, Zhenhui, Zhou, Juan, Rajpurkar, Pranav, Chen, Hao
Breast magnetic resonance imaging (MRI) is the imaging technique with the highest sensitivity for detecting breast cancer and is routinely used for women at high risk. Despite the comprehensive multiparametric protocol of breast MRI, existing artific
Externí odkaz:
http://arxiv.org/abs/2408.12606
Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition
Existing state-of-the-art methods for surgical phase recognition either rely on the extraction of spatial-temporal features at a short-range temporal resolution or adopt the sequential extraction of the spatial and temporal features across the entire
Externí odkaz:
http://arxiv.org/abs/2408.03867
Autor:
Chen, Allan Xi, Liu, Nai-Wei, Gunn, Alexander, Su, Zhe, Sigal, Benjamin F., Salazar, Matthew, Abdalla, Nawar, Chen, James, Wong, Alfred Y., Wang, Qiong
We demonstrate a compact ion beam device capable of accelerating H$^+$ and D$^+$ ions up to 75keV energy, on to a solid target, with sufficient beam current to study fusion reactions. The ion beam system uses a microwave driven plasma source to gener
Externí odkaz:
http://arxiv.org/abs/2407.04197
Accurate vessel segmentation in Ultra-Wide-Field Scanning Laser Ophthalmoscopy (UWF-SLO) images is crucial for diagnosing retinal diseases. Although recent techniques have shown encouraging outcomes in vessel segmentation, models trained on one medic
Externí odkaz:
http://arxiv.org/abs/2406.13645
Autor:
Li, Jun, Su, Tongkun, Zhao, Baoliang, Lv, Faqin, Wang, Qiong, Navab, Nassir, Hu, Ying, Jiang, Zhongliang
Automatic report generation has arisen as a significant research area in computer-aided diagnosis, aiming to alleviate the burden on clinicians by generating reports automatically based on medical images. In this work, we propose a novel framework fo
Externí odkaz:
http://arxiv.org/abs/2406.00644
Unsupervised semantic segmentation (USS) aims to achieve high-quality segmentation without manual pixel-level annotations. Existing USS models provide coarse category classification for regions, but the results often have blurry and imprecise edges.
Externí odkaz:
http://arxiv.org/abs/2405.11742
Autor:
He, Sunan, Nie, Yuxiang, Wang, Hongmei, Yang, Shu, Wang, Yihui, Cai, Zhiyuan, Chen, Zhixuan, Xu, Yingxue, Luo, Luyang, Xiang, Huiling, Lin, Xi, Wu, Mingxiang, Peng, Yifan, Shih, George, Xu, Ziyang, Wu, Xian, Wang, Qiong, Chan, Ronald Cheong Kin, Vardhanabhuti, Varut, Chu, Winnie Chiu Wing, Zheng, Yefeng, Rajpurkar, Pranav, Zhang, Kang, Chen, Hao
Generalist foundation models (GFMs) are renowned for their exceptional capability and flexibility in effectively generalizing across diverse tasks and modalities. In the field of medicine, while GFMs exhibit superior generalizability based on their e
Externí odkaz:
http://arxiv.org/abs/2404.15127