Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Vasu, Subeesh"'
Autor:
Vasu, Subeesh, Talabot, Nicolas, Lukoianov, Artem, Baqué, Pierre, Donier, Jonathan, Fua, Pascal
Deep implicit surfaces excel at modeling generic shapes but do not always capture the regularities present in manufactured objects, which is something simple geometric primitives are particularly good at. In this paper, we propose a representation co
Externí odkaz:
http://arxiv.org/abs/2109.10767
Most state-of-the-art approaches to road extraction from aerial images rely on a CNN trained to label road pixels as foreground and remainder of the image as background. The CNN is usually trained by minimizing pixel-wise losses, which is less than i
Externí odkaz:
http://arxiv.org/abs/2007.09084
Existing works on motion deblurring either ignore the effects of depth-dependent blur or work with the assumption of a multi-layered scene wherein each layer is modeled in the form of fronto-parallel plane. In this work, we consider the case of 3D sc
Externí odkaz:
http://arxiv.org/abs/1904.03710
Convolutional neural network (CNN) based methods have recently achieved great success for image super-resolution (SR). However, most deep CNN based SR models attempt to improve distortion measures (e.g. PSNR, SSIM, IFC, VIF) while resulting in poor q
Externí odkaz:
http://arxiv.org/abs/1811.00344
Autor:
Ignatov, Andrey, Timofte, Radu, Van Vu, Thang, Luu, Tung Minh, Pham, Trung X, Van Nguyen, Cao, Kim, Yongwoo, Choi, Jae-Seok, Kim, Munchurl, Huang, Jie, Ran, Jiewen, Xing, Chen, Zhou, Xingguang, Zhu, Pengfei, Geng, Mingrui, Li, Yawei, Agustsson, Eirikur, Gu, Shuhang, Van Gool, Luc, de Stoutz, Etienne, Kobyshev, Nikolay, Nie, Kehui, Zhao, Yan, Li, Gen, Tong, Tong, Gao, Qinquan, Hanwen, Liu, Michelini, Pablo Navarrete, Dan, Zhu, Fengshuo, Hu, Hui, Zheng, Wang, Xiumei, Deng, Lirui, Meng, Rang, Qin, Jinghui, Shi, Yukai, Wen, Wushao, Lin, Liang, Feng, Ruicheng, Wu, Shixiang, Dong, Chao, Qiao, Yu, Vasu, Subeesh, Madam, Nimisha Thekke, Kandula, Praveen, Rajagopalan, A. N., Liu, Jie, Jung, Cheolkon
This paper reviews the first challenge on efficient perceptual image enhancement with the focus on deploying deep learning models on smartphones. The challenge consisted of two tracks. In the first one, participants were solving the classical image s
Externí odkaz:
http://arxiv.org/abs/1810.01641
Autor:
Purohit, Kuldeep1 (AUTHOR), Vasu, Subeesh2 (AUTHOR), Rao, M. Purnachandra1 (AUTHOR), Rajagopalan, A. N.1 (AUTHOR)
Publikováno v:
Machine Vision & Applications. Jan2022, Vol. 33 Issue 1, p1-15. 15p.
Autor:
Vasu, Subeesh, Talabot, Nicolas, Lukoianov, Artem, Baqué, Pierre, Donier, Jonathan, Fua, Pascal
Publikováno v:
2022 International Conference on 3D Vision (3DV).
Deep implicit surfaces excel at modeling generic shapes but do not always capture the regularities present in manufactured objects, which is something simple geometric primitives are particularly good at. In this paper, we propose a representation co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fae0fb15fa430baf1a5ad725dbaca4dc
https://doi.org/10.1109/3dv57658.2022.00072
https://doi.org/10.1109/3dv57658.2022.00072
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Publikováno v:
ACM International Conference Proceeding Series; 12/18/2016, p1-8, 8p
Publikováno v:
2015 IEEE International Conference on Image Processing (ICIP); 2015, p2761-2765, 5p