Zobrazeno 1 - 10
of 3 435
pro vyhledávání: '"TANG Meng"'
Autor:
Zhao, Wan-Qian, Guo, Zhan-Yong, Tian, Zeng-Yuan, Su, Tong-Fu, Cao, Gang-Qiang, Qi, Zi-Xin, Qin, Tian-Cang, Zhou, Wei, Yang, Jin-Yu, Chen, Ming-Jie, Zhang, Xin-Ge, Zhou, Chun-Yan, Zhu, Chuan-Jia, Tang, Meng-Fei, Wu, Di, Song, Mei-Rong, Guo, Yu-Qi, Qiu, Li-You, Liang, Fei, Li, Mei-Jun, Geng, Jun-Hui, Zhao, Li-Juan, Zhang, Shu-Jie
High quality ancient DNA (aDNA) is essential for molecular paleontology. Due to DNA degradation and contamination by environmental DNA (eDNA), current research is limited to fossils less than 1 million years old. The study successfully extracted DNA
Externí odkaz:
http://arxiv.org/abs/2412.06521
Diffusion models have achieved unprecedented fidelity and diversity for synthesizing image, video, 3D assets, etc. However, subject mixing is a known and unresolved issue for diffusion-based image synthesis, particularly for synthesizing multiple sim
Externí odkaz:
http://arxiv.org/abs/2411.18936
Autor:
Yan, Jipeng, Kawara, Shusei, Tan, Qingyuan, Zhu, Jingwen, Wang, Bingxue, Toulemonde, Matthieu, Liu, Honghai, Tan, Ying, Tang, Meng-Xing
Super-Resolution Ultrasound (SRUS) imaging through localising and tracking microbubbles, also known as Ultrasound Localisation Microscopy (ULM), has demonstrated significant potential for reconstructing microvasculature and flows with sub-diffraction
Externí odkaz:
http://arxiv.org/abs/2409.11391
Autor:
Yan, Su, Vié, Clotilde, Lerendegui, Marcelo, Verinaz-Jadan, Herman, Yan, Jipeng, Tashkova, Martina, Burn, James, Wang, Bingxue, Frost, Gary, Murphy, Kevin G., Tang, Meng-Xing
Super-resolution ultrasound imaging through microbubble (MB) localisation and tracking, also known as ultrasound localisation microscopy, allows non-invasive sub-diffraction resolution imaging of microvasculature in animals and humans. The number of
Externí odkaz:
http://arxiv.org/abs/2407.06373
The expansion of neural network sizes and the enhancement of image resolution through modern camera sensors result in heightened memory and power demands for neural networks. Reducing peak memory, which is the maximum memory consumed during the execu
Externí odkaz:
http://arxiv.org/abs/2406.03744
Diffusion models have made significant advances recently in high-quality image synthesis and related tasks. However, diffusion models trained on real-world datasets, which often follow long-tailed distributions, yield inferior fidelity for tail class
Externí odkaz:
http://arxiv.org/abs/2402.10821
Autor:
Lone, Aijaz H., Tang, Meng, Rahimi, Daniel N., Zou, Xuecui, Zheng, Dongxing, Fariborzi, Hossein, Zhang, Xixiang, Setti, Gianluca
Spintronic devices, such as the domain walls and skyrmions, have shown significant potential for applications in energy-efficient data storage and beyond CMOS computing architectures. In recent years, spiking neural networks have shown more bio-plaus
Externí odkaz:
http://arxiv.org/abs/2402.03767
This paper strives for image editing via generative models. Flow Matching is an emerging generative modeling technique that offers the advantage of simple and efficient training. Simultaneously, a new transformer-based U-ViT has recently been propose
Externí odkaz:
http://arxiv.org/abs/2312.10825
Recent advances in generative models, such as diffusion models, have made generating high-quality synthetic images widely accessible. Prior works have shown that training on synthetic images improves many perception tasks, such as image classificatio
Externí odkaz:
http://arxiv.org/abs/2311.17121
Autor:
Hansen-Shearer, Joseph, Yan, Jipeng, Lerendegui, Marcelo, Huang, Biao, Toulemonde, Matthieu, Riemer, Kai, Tan, Qingyuan, Tonko, Johanna, Weinberg, Peter D., Dunsby, Chris, Tang, Meng-Xing
The row-column addressed array is an emerging probe for ultrafast 3-D ultrasound imaging. It achieves this with far fewer independent electronic channels and a wider field of view than traditional 2-D matrix arrays, of the same channel count, making
Externí odkaz:
http://arxiv.org/abs/2311.08823