no code implementations • 3 Jan 2022 • Parnian Afshar, Arash Mohammadi, Konstantinos N. Plataniotis, Keyvan Farahani, Justin Kirby, Anastasia Oikonomou, Amir Asif, Leonard Wee, Andre Dekker, Xin Wu, Mohammad Ariful Haque, Shahruk Hossain, Md. Kamrul Hasan, Uday Kamal, Winston Hsu, Jhih-Yuan Lin, M. Sohel Rahman, Nabil Ibtehaz, Sh. M. Amir Foisol, Kin-Man Lam, Zhong Guang, Runze Zhang, Sumohana S. Channappayya, Shashank Gupta, Chander Dev
Lung cancer is one of the deadliest cancers, and in part its effective diagnosis and treatment depend on the accurate delineation of the tumor.
no code implementations • 24 Jun 2021 • P Charantej Reddy, Aditya Siripuram, Sumohana S. Channappayya
In this work, we attempt to understand the mechanics by systematically answering the following question: do imperceptible adversarial perturbations focus on changing the regions of the image that are important for classification?
no code implementations • 8 Feb 2020 • Chandra Sekhar Ravuri, Rajesh Sureddi, Sathya Veera Reddy Dendi, Shanmuganathan Raman, Sumohana S. Channappayya
The novelty of this work is its ability to visualize various distortions as quality maps (distortion maps), especially in the no-reference setting, and to use these maps as features to estimate the quality score of tone mapped images.
1 code implementation • NeurIPS 2019 • Parimala Kancharla, Sumohana S. Channappayya
Generative Adversarial Networks (GANs) have become a very popular tool for implicitly learning high-dimensional probability distributions.
Ranked #3 on Image Generation on CelebA-HQ 64x64
1 code implementation • 2018 25th IEEE International Conference on Image Processing (ICIP) 2018 • Harshitha Machiraju, Sumohana S. Channappayya
An autonomous navigation system relies on a number of sensors including radar, LIDAR and a visible light camera for its operation.
no code implementations • 20 Nov 2017 • Chandra Prakash Konkimalla, Manikanta Srikar Yellapragada, Trishal Gayam, Souraj Mandal, Sumohana S. Channappayya
To address the challenge of OCR for Telugu, we make three contributions in this work: (i) a database of Telugu characters, (ii) a deep learning based OCR algorithm, and (iii) a client server solution for the online deployment of the algorithm.
Optical Character Recognition Optical Character Recognition (OCR) +1