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pro vyhledávání: '"N, Rajagopalan"'
Autor:
Guyatt, Gordon, Petrisor, Brad, Thabane, Lehana, Boniface, Respicious, Browner, Bruce, Pollak, Andrew, Slobogean, Gerard, Schemitsch, Emil, McKay, Paula, Tai, Kerry, Heels-Ansdell, Diane, Buckingham, Lisa, Norton, Robyn, Zhang, Jing, Parveen, Samina, Bhaumik, Soumyadeep, Morshed, Saam, Mackechnie, Madeline C., Zhang, Zhentao, Ma, Yinghua, Qin, Yanguo, Hu, Sanbao, Qi, Baochang, Dai, Wenjie, Cai, Xinyu, Rui, Gang, Chen, Hua, Shetty, Vijay, Dumbre Patil, Sampat, Patil, Sanjay, Shrivastava, Sandeep, Mittal, Ravi, Jepegnanam, Thilak Samuel, Mahajan, Anupam, Chhabra, Harvinder Singh, N, Rajagopalan, Amaravathi, Rajkumar S., Dhillon, Mandeep S., Chase, Asolie, Bhavsar, Neel M., Saadat, Soheil, Byanjankar, Subin, Qadir, Raja Irfan, Tabu, Irewin Alagar, Ponggsamakthai, Wanjak, Sa-ngasoongsong, Paphon, Subramanian, Panchu, Ndeleva, Benjamin Muluku, Lutomia, Mark, Otseyeno, Fred Mathew Toboso, Mwangi, Geoffrey Chege, Ndasi, Henry Tanyi, Konadu-Yeboah, Dominic, Firth, Gregory, Marealle, Paul, Temu, Rogers, Mutanda, Tony, Rio, Marcelo, Quintero, Jose Eduardo, Zuluaga, Mauricio, Minueza, Tomás, Madrigal, Ricardo, Ylizaliturri, Manuel, Garuz, Mario, Segovia Altieri, Julio, Escalante Elguezabal, Igor A., Armstrong, Elizabeth, Rogers, Kris, Li, Chuan Silvia, Jagnoor, Jagnoor, Moroz, Paul, Oguzie, Gerald Chukwuemeka, Hailu, Samuel, Miclau, Theodore, III, de la Huerta, Fernando, Martinez-Ruiz, Jose de Jesus, Bidolegui, Fernando, Zhou, Junlin, Ma, Xinlong, Wu, Bo, Sancheti, Parag, Quang, La Ngoc, Baigi, Vali, Haddadi, Mashyaneh, Tian, Maoyi, Sprague, Sheila, Devereaux, P J, Bhandari, Mohit, Ivers, Rebecca *
Publikováno v:
In The Lancet Healthy Longevity August 2024 5(8):e552-e562
Autor:
Goswami, Saurabh, N, Rajagopalan A.
We propose an adversarial attack for facial class-specific Single Image Super-Resolution (SISR) methods. Existing attacks, such as the Fast Gradient Sign Method (FGSM) or the Projected Gradient Descent (PGD) method, are either fast but ineffective, o
Externí odkaz:
http://arxiv.org/abs/2201.09109
Autor:
Kandula, Praveen, N, Rajagopalan. A.
In the literature, coarse-to-fine or scale-recurrent approach i.e. progressively restoring a clean image from its low-resolution versions has been successfully employed for single image deblurring. However, a major disadvantage of existing methods is
Externí odkaz:
http://arxiv.org/abs/2112.06175
Real low-resolution (LR) face images contain degradations which are too varied and complex to be captured by known downsampling kernels and signal-independent noises. So, in order to successfully super-resolve real faces, a method needs to be robust
Externí odkaz:
http://arxiv.org/abs/2011.02427
Publikováno v:
Computer Sciences & Mathematics Forum, Vol 9, Iss 1, p 3 (2024)
Vision-language models (VLMs) have demonstrated increasing potency in solving complex vision-language tasks in the recent past. Visual question answering (VQA) is one of the primary downstream tasks for assessing the capability of VLMs, as it helps i
Externí odkaz:
https://doaj.org/article/66185707026647499119669528d5e3f6
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:
A. N. Rajagopalan, Rama Chellappa
A comprehensive guide to restoring images degraded by motion blur, bridging the traditional approaches and emerging computational photography-based techniques, and bringing together a wide range of methods emerging from basic theory as well as cuttin
Autor:
Christina M. Eckhardt, Matthew J. Cummings, Kartik N. Rajagopalan, Sarah Borden, Zachary C. Bitan, Allison Wolf, Alex Kantor, Thomas Briese, Benjamin J. Meyer, Samuel D. Jacobson, Dawn Scotto, Nischay Mishra, Neena M. Philip, Brie A. Stotler, Joseph Schwartz, Beth Shaz, Steven L. Spitalnik, Andrew Eisenberg, Eldad A. Hod, Jessica Justman, Ken Cheung, W. Ian Lipkin, Max R. O’Donnell
Publikováno v:
Trials, Vol 21, Iss 1, Pp 1-3 (2020)
Abstract Objectives The aim of this study is to evaluate the efficacy and safety of human anti-SARS-CoV-2 convalescent plasma in hospitalized adults with severe SARS-CoV-2 infection. Trial Design This is a prospective, single-center, phase 2, randomi
Externí odkaz:
https://doaj.org/article/b30a100901de47b98b139bece3b14ae0
Publikováno v:
In Computer Vision and Image Understanding June 2018 171:20-33
Autor:
Christina M. Eckhardt, Matthew J. Cummings, Kartik N. Rajagopalan, Sarah Borden, Zachary C. Bitan, Allison Wolf, Alex Kantor, Thomas Briese, Benjamin J. Meyer, Samuel D. Jacobson, Dawn Scotto, Nischay Mishra, Neena M. Philip, Brie A. Stotler, Joseph Schwartz, Beth Shaz, Steven L. Spitalnik, Andrew Eisenberger, Eldad A. Hod Jessica Justman, Ken Cheung, W. Ian Lipkin, Max R. O’Donnell
Publikováno v:
Trials, Vol 21, Iss 1, Pp 1-2 (2020)
An amendment to this paper has been published and can be accessed via the original article.
Externí odkaz:
https://doaj.org/article/f3696b4c6ecc440da6815dc4b3d60ec7