Dr. Konda Reddy Mopuri (advised by Prof. Venkatesh Babu) from the Video Analytics Lab has won the IUPRAI Best Doctoral Dissertation Award for the year 2018-19. His Ph.D. thesis is titled ”Deep Visual Representations: A study on Augmentation, Visualization, and Robustness”. IUPRAI (Indian Unit of Pattern Recognition and Artificial Intelligence) – Doctoral Dissertation Award program has

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Well done Praveen. · 1 å. Praveen G.. · 1 å. Praveen Divya Sai Keerthi Tiruvakadu, Ph.D. WLAN Firmware R&D Engineer at Nordic Semiconductor ASA. Bangalore Urban.

Join Facebook to connect with Konda Reddy Mopuri and others you may know. Facebook gives people the MATLAB Central contributions by Konda Reddy Mopuri. Professional Interests: Image /Video Processing, Computer Vision, Data Science, Machine Learning. Konda Reddy Mopuri. I am a visiting faculty member at the Department of Computer Science, Indian Institute of Technology, Tirupati, where I work on computer vision and deep learning.

Konda Reddy Mopuri Author page based on publicly available paper data. 8. papers with code. 15. papers. 0. results. Research Areas. Knowledge

Facebook gives people the power to share and makes the world more open and connected. Konda Reddy Mopuri, R. Venkatesh Babu; Object Level Deep Feature Pooling for Compact Image Representation; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2015, pp.

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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. Segmentation. Depth Estimation. Please look into each of the folders for usage instructions.

This quasi-imperceptible noise can fool the state 2017-07-18 · Authors: Konda Reddy Mopuri, Utsav Garg, R. Venkatesh Babu Download PDF Abstract: State-of-the-art object recognition Convolutional Neural Networks (CNNs) are shown to be fooled by image agnostic perturbations, called universal adversarial perturbations. Konda Reddy Mopuri, Indian Institute of Science, Computational and Data Sciences Department, Graduate Student. I am a Computer Vision and Machine Learning enthusiast. I solve Computer Vision problems using Deep learning techniques.
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I am a Computer Vision and Machine Learning enthusiast. I solve Computer Vision problems using Deep learning techniques. Also, I am Konda Reddy Mopuri.
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Authors. Konda Reddy Mopuri, Aditya Ganeshan, R Venkatesh Babu. PMID: 30072314; DOI: 10.1109/TPAMI.2018.2861800

Praveen G.. · 1 å. Praveen Divya Sai Keerthi Tiruvakadu, Ph.D. WLAN Firmware R&D Engineer at Nordic Semiconductor ASA. Bangalore Urban. Konda Reddy Mopuri B Zhao, KR Mopuri, H Bilen. arXiv preprint arXiv:2001.02610, 2020. 23, 2020.

Vivek B.S.[0000−0003−1933−9920], Konda Reddy Mopuri[0000−0001−8894−7212], and R. Venkatesh Babu[0000−0002−1926−1804] Indian Institute of Science, Bangalore, India {svivek,kondamopuri,venky}@iisc.ac.in Abstract. Adversarial samples are perturbed inputs crafted to mislead the machine learning systems.

thesis is titled ”Deep Visual Representations: A study on Augmentation, Visualization, and Robustness”.

19-34 Abstract Deep learning models are susceptible to input specific noise, called adversarial perturbations. Konda Reddy Mopuri (Preferred) Suggest Name; Emails. Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. Konda Reddy Mopuri, works at Samsung R&D Institute - Bangalore Read Konda Reddy Mopuri's latest research, browse their coauthor's research, and play around with their algorithms Konda Reddy Mopuri, R. Venkatesh Babu; Object Level Deep Feature Pooling for Compact Image Representation; The IEEE Conference on Computer Vision and … View the profiles of people named Konda Reddy Mopuri. Join Facebook to connect with Konda Reddy Mopuri and others you may know.