Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Gorthi, Rama Krishna"'
The present State-of-the-Art (SotA) Image Super-Resolution (ISR) methods employ Deep Learning (DL) techniques using a large amount of image data. The primary limitation to extending the existing SotA ISR works for real-world instances is their comput
Externí odkaz:
http://arxiv.org/abs/2409.12165
Deep Learning (DL) approaches have gained prominence in medical imaging for disease diagnosis. Chest X-ray (CXR) classification has emerged as an effective method for detecting various diseases. Among these methodologies, Chest X-ray (CXR) classifica
Externí odkaz:
http://arxiv.org/abs/2407.04953
In this paper, we propose to reformulate the blind image deblurring task to directly learn an inverse of the degradation model represented by a deep linear network. We introduce Deep Identity Learning (DIL), a novel learning strategy that includes a
Externí odkaz:
http://arxiv.org/abs/2407.04815
Autor:
Lakshmipathaiah, K., Vig, S., Ashby, Matthew L. N., Hora, Joseph L., Kang, Miju, Gorthi, Rama Krishna Sai S.
We apply machine learning algorithms to classify Infrared (IR)-selected targets for NASA's upcoming SPHEREx mission. In particular, we are interested in classifying Young Stellar Objects (YSOs), which are essential for understanding the star formatio
Externí odkaz:
http://arxiv.org/abs/2309.12957
Recently Deep Learning based Siamese Networks with region proposals for visual object tracking becoming more popular. These networks, while testing, perform extra computations on output if trained network, to predict the bounding box. This however ha
Externí odkaz:
http://arxiv.org/abs/2001.09307
Autor:
Ravi, Vaishnavi, Gorthi, Rama Krishna
Publikováno v:
In Optics and Lasers in Engineering August 2023 167
Autor:
Li, Jianning, Ellis, David G., Kodym, Oldřich, Rauschenbach, Laurèl, Rieß, Christoph, Sure, Ulrich, Wrede, Karsten H., Alvarez, Carlos M., Wodzinski, Marek, Daniol, Mateusz, Hemmerling, Daria, Mahdi, Hamza, Clement, Allison, Kim, Evan, Fishman, Zachary, Whyne, Cari M., Mainprize, James G., Hardisty, Michael R., Pathak, Shashwat, Sindhura, Chitimireddy, Gorthi, Rama Krishna Sai S., Kiran, Degala Venkata, Gorthi, Subrahmanyam, Yang, Bokai, Fang, Ke, Li, Xingyu, Kroviakov, Artem, Yu, Lei, Jin, Yuan, Pepe, Antonio, Gsaxner, Christina, Herout, Adam, Alves, Victor, Španěl, Michal, Aizenberg, Michele R., Kleesiek, Jens, Egger, Jan
Publikováno v:
In Medical Image Analysis August 2023 88
The application of machine learning principles in the photometric search of elusive astronomical objects has been a less-explored frontier of research. Here we have used three methods: the Neural Network and two variants of k-Nearest Neighbour, to id
Externí odkaz:
http://arxiv.org/abs/1907.00581
Publikováno v:
ACCV: Asian Conference on Computer Vision 2018
Visual object tracking is one of the major challenges in the field of computer vision. Correlation Filter (CF) trackers are one of the most widely used categories in tracking. Though numerous tracking algorithms based on CFs are available today, most
Externí odkaz:
http://arxiv.org/abs/1906.01551
Publikováno v:
In Displays April 2023 77