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Konda Reddy Mopuri IISc Banglore 6 total contributions since 2013 Professional Interests: Image /Video Processing, Computer Vision, Data Science, Machine Learning. Contact.

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TECHNOLOGY REPORT published: 11 January 2016 doi: 10.3389/frobt.2015.00036 A Taxonomy of Deep Convolutional Neural Nets for Computer Vision Suraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri, Nikita Prabhu, Srinivas S. S. Kruthiventi and R. Venkatesh Babu * Video Analytics Laboratory, Department of Computational and Data Sciences, Indian Institute of Science, Bangalore, India

Developing robust vision modules for microsystems applications. H Bilen, MA  Babu och hans elever Konda Reddy Mopuri och Aditya Ganesan, i en artikel publicerad i den ansedda Trans. Mönster Analys och Maskin Intelligens av IEEE,  CHANDRA SEKHARA REDDY 19-06-1979. UR MALE ESM KONDA RAMACHANDRA REDDY 18-07-1995. OBC MOPURI KISHORBABU MOPURI GOPI 10, 8, DEO12086369, 48938, KUMMETHA PEDDA REDDY, 111-08047699-111 01/07/1977, 1252003, GUTTURU(VILL), M.P.Primary School, Penu Konda, III 234, 232, DEO12094057, 94746, MOPURI USHA RANI, 111-13047196-111  developed a deep respect for the honourable prime minister after this speech.

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Indian Institute of Technology Tirupati. Verified email at iittp.ac.in - Homepage. Deep Learning Machine Learning Computer Vision. Articles Cited by Co-authors. Title. Sort. Sort by citations Sort by year Sort by title.

Konda Reddy Mopuri received the MTech degree from the IIT Kharagpur, India, in 2011. He is currently working towards the PhD degree in the Department of Computational and Data Sciences, Indian Institute of Science (IISc), Bangalore, India, advised by Prof.

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Konda Reddy Mopuri received the MTech degree from the IIT Kharagpur, India, in 2011. He is currently working towards the PhD degree in the Department of Computational and Data Sciences, Indian Institute of Science (IISc), Bangalore, India, advised by Prof. R. Venkatesh Babu. He worked with Samsung India, Bangalore from 2011 to 2012.

Follow their code on GitHub. Konda Reddy Mopuri received the MTech degree from the IIT Kharagpur, India, in 2011.

IEEE transactions on pattern analysis and machine intelligence, 41 (10), pp.2452-2465. Konda Reddy Mopuri currently works as a Post Doctoral researcher at the School of Informatics, University of Edinburgh, UK. View Konda Reddy Mopuri’s profile on LinkedIn, the world’s largest professional community. Konda Reddy has 3 jobs listed on their profile. See the complete profile on LinkedIn and discover Konda Reddy’s connections and jobs at similar companies. Konda Reddy Mopuri. Indian Institute of Technology Tirupati. Verified email at iittp.ac.in - Homepage.
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Mopuri Konda Reddy*,Aditya Ganeshan*, R. Venkatesh Babu * = equal contribution. This repository contains code to craft and evaluate GD-UAP on the following task: Classification. Segmentation. Depth Estimation. Please look into each of the folders for usage instructions. Precomputed Perturbations

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View Konda Reddy Mopuri’s profile on LinkedIn, the world’s largest professional community. Konda Reddy has 3 jobs listed on their profile. See the complete profile on LinkedIn and discover Konda Reddy’s connections and jobs at similar companies.

[August 12,2015] Invited talk by Ravi Kiran Sarvadevabhatla and Mopuri Konda Reddy at IIIT-Bangalore [July 15,2015] Paper by R.Venkatesh Babu accepted in the Journal of Applied Soft Computing Traditional architectures for solving computer vision problems and the degree of success they enjoyed have been heavily reliant on hand-crafted features. However, of late, deep learning techniques have offered a compelling alternative – that of Issue Date Title Author(s) 2018: CNN fixations : an unraveling approach to visualize the discriminative image regions: Mopuri, Konda Reddy; Garg, Utsav; Babu, R. Venkatesh View the profiles of professionals named "Konda Reddy" on LinkedIn. There are 100+ professionals named "Konda Reddy", who use LinkedIn to exchange information, ideas, and opportunities. Mopuri Konda Reddy*,Aditya Ganeshan*, R. Venkatesh Babu * = equal contribution. This repository contains code to craft and evaluate GD-UAP on the following task: Classification.