no code implementations • 13 Aug 2024 • Anantha Sharma, Ajinkya Deshmukh
With the increasing demand for data sharing across platforms and organizations, ensuring the privacy and security of sensitive information has become a critical challenge.
no code implementations • 18 Jul 2023 • Fatemeh Rezapoor Nikroo, Ajinkya Deshmukh, Anantha Sharma, Adrian Tam, Kaarthik Kumar, Cleo Norris, Aditya Dangi
In this study, we evaluate the performance of multiple state-of-the-art SRGAN (Super Resolution Generative Adversarial Network) models, ESRGAN, Real-ESRGAN and EDSR, on a benchmark dataset of real-world images which undergo degradation using a pipeline.
no code implementations • 16 May 2023 • Ajinkya Deshmukh, Saumya Banthia, Anantha Sharma
We show that our approach can effectively reduce utility loss while preserving the original information, offering greater flexibility in the trade-off between privacy protection and data utility.
1 code implementation • 1 Aug 2020 • Jing Shi, Zhiheng Li, Haitian Zheng, Yihang Xu, Tianyou Xiao, Weitao Tan, Xiaoning Guo, Sizhe Li, Bin Yang, Zhexin Xu, Ruitao Lin, Zhongkai Shangguan, Yue Zhao, Jingwen Wang, Rohan Sharma, Surya Iyer, Ajinkya Deshmukh, Raunak Mahalik, Srishti Singh, Jayant G Rohra, Yi-Peng Zhang, Tongyu Yang, Xuan Wen, Ethan Fahnestock, Bryce Ikeda, Ian Lawson, Alan Finkelstein, Kehao Guo, Richard Magnotti, Andrew Sexton, Jeet Ketan Thaker, Yiyang Su, Chenliang Xu
This technical report summarizes submissions and compiles from Actor-Action video classification challenge held as a final project in CSC 249/449 Machine Vision course (Spring 2020) at University of Rochester