Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Maitreya Suin"'
Autor:
Deming Li, Shruti Hegde, Aravind Sunil Kumar, Atul Zacharias, Parthvi Mehta, Venkat Mukthineni, Satwik Srimath, Sunny Patel, Maitreya Suin, Rama Chellappa, Soumyadipta Acharya
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Malaria is a major public health concern, causing significant morbidity and mortality globally. Monitoring the local population density and diversity of the vectors transmitting malaria is critical to implementing targeted control strategies
Externí odkaz:
https://doaj.org/article/b035a1864d704c059648703a9188f419
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250620
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4b46c8c972b59ea4acfb443cec0dc53
https://doi.org/10.1007/978-3-031-25063-7_19
https://doi.org/10.1007/978-3-031-25063-7_19
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing. 15:162-173
Image restoration is the task of recovering a clean image from a degraded version. In most cases, the degradation is spatially varying, and it requires the restoration network to both localize and restore the affected regions. In this paper, we prese
Autor:
Maitreya Suin, A. N. Rajagopalan
Publikováno v:
AAAI
Dense video captioning is an extremely challenging task since an accurate and faithful description of events in a video requires a holistic knowledge of the video contents as well as contextual reasoning of individual events. Most existing approaches
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. :1-1
Autor:
Maitreya Suin, A. N. Rajagopalan
Publikováno v:
CVPR
Video deblurring remains a challenging task due to the complexity of spatially and temporally varying blur. Most of the existing works depend on implicit or explicit alignment for temporal information fusion, which either increases the computational
Autor:
Yuntao Wu, Dongliang He, Fu Li, B. Z. Ding, Sy-Yen Kuo, Zhipeng Luo, Vishal Monga, Majed El Helou, Sabari Nathan, Songhua Liu, Fangya Li, Qing Wang, Maitreya Suin, Tongtong Zhao, Hao-Hsiang Yang, Ming-Ming Cheng, Sabine Süsstrunk, Li Xin, Priya Kansal, Chenghua Li, Zhen Li, Cheng-Ze Lu, Zhongyun Hu, Ntumba Elie Nsampi, Amirsaeed Yazdani, A. N. Rajagopalan, Zuo-Liang Zhu, Shanshan Zhao, Zeng-Sheng Kuang, Wanli Qian, Zhiguang Zhang, Radu Timofte, Ruifeng Deng, Tianwei Lin, Tao Lu, Yuanzhi Wang, Jianye He, Xiu-Li Shao, Wei-Ting Chen, Tiantong Guo, Ruofan Zhou, Yanduo Zhang, Jia-Xiong Qiu, Hao-Lun Luo
Publikováno v:
CVPR Workshops
Image relighting is attracting increasing interest due to its various applications. From a research perspective, im-age relighting can be exploited to conduct both image normalization for domain adaptation, and also for data augmentation. It also has
We present a general learning-based solution for restoring images suffering from spatially-varying degradations. Prior approaches are typically degradation-specific and employ the same processing across different images and different pixels within. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12ad1384450a08384f0329845a77fca4
Autor:
Seungjun Nah, Sanghyun Son, Radu Timofte, Kyoung Mu Lee, Yu Tseng, Yu-Syuan Xu, Cheng-Ming Chiang, Yi-Min Tsai, Stephan Brehm, Sebastian Scherer, Dejia Xu, Yihao Chu, Qingyan Sun, Jiaqin Jiang, Lunhao Duan, Jian Yao, Kuldeep Purpohit, Maitreya Suin, A.N. Rajagopalan, Yuichi Ito, P.S. Hrishikesh, Densen Puthussery, K.A. Akhil, C.V. Jiji, Guisik Kim, P.L. Deepa, Zhiwei Xiong, Jie Huang, Dong Liu, Sangmin Kim, Hyungjoon Nam, Jisu Kim, Jechang Jeong, Shihua Huang, Yuchen Fan, Jiahui Yu, Haichao Yu, Thomas S. Huang, Ya Zhou, Xin Li, Sen Liu, Zhibo Chen, Saikat Dutta, Sourya Dipta Das, Shivam Garg, Daniel Sprague, Bhrij Patel, Thomas Huck
Publikováno v:
CVPR Workshops
Motion blur is one of the most common degradation artifacts in dynamic scene photography. This paper reviews the NTIRE 2020 Challenge on Image and Video Deblurring. In this challenge, we present the evaluation results from 3 competition tracks as wel
Publikováno v:
CVPR
This paper tackles the problem of motion deblurring of dynamic scenes. Although end-to-end fully convolutional designs have recently advanced the state-of-the-art in non-uniform motion deblurring, their performance-complexity trade-off is still sub-o