Zobrazeno 1 - 10
of 22 405
pro vyhledávání: '"Yipeng An"'
Autor:
Chen, Xinren, Gonçalves, William, Hu, Yi, Gao, Yipeng, Harrison, Patrick, Das, Saurabh Mohan, Dehm, Gerhard, Gault, Baptiste, Ludwig, Wolfgang, Rauch, Edgar, Zhou, Xuyang, Raabe, Dierk
Grain boundaries (GBs) trigger structure-specific chemical segregation of solute atoms. According to the three-dimensional (3D) topology of grains, GBs - although defined as planar defects - cannot be free of curvature. This implies formation of topo
Externí odkaz:
http://arxiv.org/abs/2411.10350
No-Reference Point Cloud Quality Assessment (NR-PCQA) aims to objectively assess the human perceptual quality of point clouds without relying on pristine-quality point clouds for reference. It is becoming increasingly significant with the rapid advan
Externí odkaz:
http://arxiv.org/abs/2411.07936
Autor:
Yi, Weixi, Wang, Yipei, Thorley, Natasha, Ng, Alexander, Punwani, Shonit, Kasivisvanathan, Veeru, Barratt, Dean C., Saeed, Shaheer Ullah, Hu, Yipeng
Current imaging-based prostate cancer diagnosis requires both MR T2-weighted (T2w) and diffusion-weighted imaging (DWI) sequences, with additional sequences for potentially greater accuracy improvement. However, measuring diffusion patterns in DWI se
Externí odkaz:
http://arxiv.org/abs/2411.07416
Neural Radiance Fields (NeRF) have demonstrated exceptional capabilities in reconstructing complex scenes with high fidelity. However, NeRF's view dependency can only handle low-frequency reflections. It falls short when handling complex planar refle
Externí odkaz:
http://arxiv.org/abs/2411.04984
Autor:
Tarrasse, Maxime, Gómez-Guijarro, Carlos, Elbaz, David, Magnelli, Benjamin, Dickinson, Mark, Henry, Aurélien, Franco, Maximilien, Lyu, Yipeng, Billand, Jean-Baptiste, Bhatawdekar, Rachana, Cheng, Yingjie, Fontana, Adriano, Finkelstein, Steven L., Gandolfi, Giovanni, Hathi, Nimish, Hirschmann, Michaela, Holwerda, Benne W., Koekemoer, Anton M., Lucas, Ray A., Seillé, Lise-Marie, Wilkins, Stephen, Yung, L. Y. Aaron
During the last decade, studies about highly attenuated and massive red star-forming galaxies (RedSFGs) at $z \sim 4$ have suggested that they could constitute a crucial population for unraveling the mechanisms driving the transition from vigorous st
Externí odkaz:
http://arxiv.org/abs/2411.00279
Autor:
Wu, Xiangcen, Wang, Yipei, Yang, Qianye, Thorley, Natasha, Punwani, Shonit, Kasivisvanathan, Veeru, Bonmati, Ester, Hu, Yipeng
Prostate cancer diagnosis through MR imaging have currently relied on radiologists' interpretation, whilst modern AI-based methods have been developed to detect clinically significant cancers independent of radiologists. In this study, we propose to
Externí odkaz:
http://arxiv.org/abs/2410.23084
Autor:
Yang, Yuzhe, Du, Yipeng, Farhan, Ahmad, Angione, Claudio, Zhao, Yue, Yang, Harry, Johnston, Fielding, Buban, James, Colangelo, Patrick
The deployment of large-scale models, such as large language models (LLMs) and sophisticated image generation systems, incurs substantial costs due to their computational demands. To mitigate these costs and address challenges related to scalability
Externí odkaz:
http://arxiv.org/abs/2410.21340
Even with the significant advances of AlphaFold-Multimer (AF-Multimer) and AlphaFold3 (AF3) in protein complex structure prediction, their accuracy is still not comparable with monomer structure prediction. Efficient quality assessment (QA) or estima
Externí odkaz:
http://arxiv.org/abs/2410.17815
As large language model (LLM) agents increasingly integrate into our infrastructure, their robust coordination and message synchronization become vital. The Byzantine Generals Problem (BGP) is a critical model for constructing resilient multi-agent s
Externí odkaz:
http://arxiv.org/abs/2410.16237
Autor:
Ye, Chengze, Schneider, Linda-Sophie, Sun, Yipeng, Thies, Mareike, Mei, Siyuan, Maier, Andreas
This paper introduces a novel method for reconstructing cone beam computed tomography (CBCT) images for arbitrary orbits using a differentiable shift-variant filtered backprojection (FBP) neural network. Traditional CBCT reconstruction methods for ar
Externí odkaz:
http://arxiv.org/abs/2410.14900