Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Jimmy Ren"'
Autor:
Jinshan Pan, Shangchen Zhou, Zhao Furong, Daoye Wang, Jianbo Liu, Jimmy Ren, Jiawei Zhang, Xing Wei
Deblurring can not only provide visually more pleasant pictures and make photography more convenient, but also can improve the performance of objection detection as well as tracking. However, removing dynamic scene blur from images is a non-trivial t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d28d445213ab39c231ae066f5ad80993
http://arxiv.org/abs/2301.07329
http://arxiv.org/abs/2301.07329
Autor:
Jian-Qing Mi, Wanhong Zhao, Hongmei Jing, Weijun Fu, Jianda Hu, Lijuan Chen, Yiwen Zhang, Dan Yao, Diana Chen, Jordan M. Schecter, Fan Yang, Xiaochen Tian, Huabin Sun, Sen Hong Zhuang, Jimmy Ren, Xiaohu Fan, Jie Jin, Ting Niu, Sai-Juan Chen
Publikováno v:
Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
PURPOSE CARTIFAN-1 aimed to evaluate the efficacy and safety of ciltacabtagene autoleucel (cilta-cel), a B-cell maturation antigen–targeting chimeric antigen receptor T-cell therapy, in Chinese patients with relapsed/refractory multiple myeloma (RR
Publikováno v:
AAAI
The success of existing face deblurring methods based on deep neural networks is mainly due to the large model capacity. Few algorithms have been specially designed according to the domain knowledge of face images and the physical properties of the d
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision (ICCV).
Autor:
Wassim Hamidouche, Byungyeon Kang, Shuwei Shi, Yujiu Yang, Junlin Li, Pengfei Sun, Jose Costa Pereira, Kele Xu, Hiroaki Akutsu, Hai Wang, Koki Tsubota, Yiting Liao, William Thong, Hengliang Luo, Longtao Feng, Jingyu Guo, Yuqing Hou, Yu Qiao, Sung-Jun Yoon, Jimmy Ren, Tao Zhang, Yang Li, Bin Yi, Yifan Chen, Jinjin Gu, Ali Royat, Steven McDonagh, Shuhang Gu, Junwoo Lee, Kiyoharu Aizawa, Lehan Yang, Sewoong Ahn, Weihao Xia, Qingyan Bai, Haiyang Guo, Zirui Wang, Mingdeng Cao, Qing Zhang, Jiahao Wang, Wenming Yang, Sid Ahmed Fezza, Haoming Cai, Dounia Hammou, Ales Leonardis, Radu Timofte, Hengxing Cai, Manri Cheon, Seyed Mehdi Ayyoubzadeh, Chao Dong, Gwangjin Yoon
Publikováno v:
CVPR Workshops
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
Publikováno v:
CVPR
Blind deblurring has received considerable attention in recent years. However, state-of-the-art methods often fail to process saturated blurry images. The main reason is that pixels around saturated regions are not conforming to the commonly used lin
Publikováno v:
CVPR
Deblurring night blurry images is difficult, because the common-used blur model based on the linear convolution operation does not hold in this situation due to the influence of saturated pixels. In this paper, we propose a non-blind deblurring netwo
Low-dose CT has been a key diagnostic imaging modality to reduce the potential risk of radiation overdose to patient health. Despite recent advances, CNN-based approaches typically apply filters in a spatially invariant way and adopt similar pixel-le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1ba153b2bae3c53c3dfc748a95d5359
http://arxiv.org/abs/2105.14758
http://arxiv.org/abs/2105.14758
Publikováno v:
Electronics; Volume 11; Issue 4; Pages: 631
Due to the limitation of event sensors, the spatial resolution of event data is relatively low compared to the spatial resolution of the conventional frame-based camera. However, low-spatial-resolution events recorded by event cameras are rich in tem
Publikováno v:
CVPR
Understanding of human vision system (HVS) has inspired many computer vision algorithms. Stereo matching, which borrows the idea from human stereopsis, has been extensively studied in the existing literature. However, scant attention has been drawn o