Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Royat, Ali"'
Deep neural networks (DNNs) have demonstrated remarkable performance across various domains, yet their application to temporal graph regression tasks faces significant challenges regarding interpretability. This critical issue, rooted in the inherent
Externí odkaz:
http://arxiv.org/abs/2409.10996
Deep neural networks have reached remarkable achievements in medical image processing tasks, specifically in classifying and detecting various diseases. However, when confronted with limited data, these networks face a critical vulnerability, often s
Externí odkaz:
http://arxiv.org/abs/2405.03642
Publikováno v:
IEEE Robotics and Automation Letters (RA-L 2021) & IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021)
Semantic segmentation is one of the basic, yet essential scene understanding tasks for an autonomous agent. The recent developments in supervised machine learning and neural networks have enjoyed great success in enhancing the performance of the stat
Externí odkaz:
http://arxiv.org/abs/2107.00691
Autor:
Gu, Jinjin, Cai, Haoming, Dong, Chao, Ren, Jimmy S., Qiao, Yu, Gu, Shuhang, Timofte, Radu, Cheon, Manri, Yoon, Sungjun, Kang, Byungyeon, Lee, Junwoo, Zhang, Qing, Guo, Haiyang, Bin, Yi, Hou, Yuqing, Luo, Hengliang, Guo, Jingyu, Wang, Zirui, Wang, Hai, Yang, Wenming, Bai, Qingyan, Shi, Shuwei, Xia, Weihao, Cao, Mingdeng, Wang, Jiahao, Chen, Yifan, Yang, Yujiu, Li, Yang, Zhang, Tao, Feng, Longtao, Liao, Yiting, Li, Junlin, Thong, William, Pereira, Jose Costa, Leonardis, Ales, McDonagh, Steven, Xu, Kele, Yang, Lehan, Cai, Hengxing, Sun, Pengfei, Ayyoubzadeh, Seyed Mehdi, Royat, Ali, Fezza, Sid Ahmed, Hammou, Dounia, Hamidouche, Wassim, Ahn, Sewoong, Yoon, Gwangjin, Tsubota, Koki, Akutsu, Hiroaki, Aizawa, Kiyoharu
This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2021. As a new type of image processing techno
Externí odkaz:
http://arxiv.org/abs/2105.03072
Autor:
Ayyoubzadeh, Seyed Mehdi, Royat, Ali
Recently, deep convolutional neural networks (DCNN) that leverage the adversarial training framework for image restoration and enhancement have significantly improved the processed images' sharpness. Surprisingly, although these DCNNs produced crispi
Externí odkaz:
http://arxiv.org/abs/2105.02531
Autor:
Sani MM; Computer Science and Engineering, Sharif University of Technology, Tehran, Iran., Royat A; Electrical Engineering, Sharif University of Technology, Tehran, Iran., Baghshah MS; Computer Science and Engineering, Sharif University of Technology, Tehran, Iran. soleymani@sharif.edu.
Publikováno v:
Medical & biological engineering & computing [Med Biol Eng Comput] 2024 Oct 30. Date of Electronic Publication: 2024 Oct 30.
