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I solve Computer Vision problems using Deep learning techniques. Also, I am MATLAB Central contributions by Konda Reddy Mopuri. Professional Interests: Image /Video Processing, Computer Vision, Data Science, Machine Learning. Authors: Konda Reddy Mopuri, Utsav Garg, R. Venkatesh Babu. Abstract: Deep convolutional neural networks (CNN) have revolutionized various fields of vision research and have seen unprecedented adoption for multiple tasks such as classification, detection, captioning, etc. Konda Reddy Mopuri IISc Banglore 6 total contributions since 2013 Professional Interests: Image /Video Processing, Computer Vision, Data Science, Machine MATLAB Central contributions by Konda Reddy Mopuri.

Authors: Konda Reddy Mopuri, Utsav Garg, R. Venkatesh Babu. Abstract: Deep convolutional neural networks (CNN) have revolutionized various fields of vision research and have seen unprecedented adoption for multiple tasks such as classification, detection, captioning, etc. Konda Reddy Mopuri IISc Banglore 6 total contributions since 2013 Professional Interests: Image /Video Processing, Computer Vision, Data Science, Machine MATLAB Central contributions by Konda Reddy Mopuri. Professional Interests: Image /Video Processing, Computer Vision, Data Science, Machine Learning.

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Follow their code on GitHub. Konda Reddy Mopuri, Vishal B. Athreya and R. Venkatesh Babu Video Analytics Lab, Computational and Data Sciences Indian Institute of Science, India sercmkreddy@grads.cds.iisc.ac.in, bvishal.athreya@gmail.com, venky@cds.iisc.ac.in ABSTRACT Deep learning exploits large volumes of labeled data to learn powerful models. Konda Reddy Mopuri received the MTech degree from the IIT Kharagpur, India, in 2011.

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Konda Reddy Mopuri, Phani Krishna Uppala, R. Venkatesh Babu; Proceedings of the European Conference on Computer Vision (ECCV), 2018, pp. 19-34 Abstract Deep learning models are susceptible to input specific noise, called adversarial perturbations. 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 Author page based on publicly available paper data.

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Home Konda Reddy Mopuri. Konda Reddy Mopuri. Skip slideshow. Most frequent co-Author Konda Reddy Mopuri*[0000−0001−8894−7212], Phani Krishna Uppala*[0000−0003−0413−5685], and R. Venkatesh Babu[0000−0002−1926−1804] Video Analytics Lab, Indian Institute of Science, Bangalore, India Abstract. Deep learning models are susceptible to input speciﬁc noise, called adversarial perturbations.

Search for Konda Reddy Mopuri's work. Search Search. Home Konda Reddy Mopuri. Konda Reddy Mopuri. Skip slideshow. Most frequent co-Author Konda Reddy Mopuri*[0000−0001−8894−7212], Phani Krishna Uppala*[0000−0003−0413−5685], and R. Venkatesh Babu[0000−0002−1926−1804] Video Analytics Lab, Indian Institute of Science, Bangalore, India Abstract.
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I am a visiting faculty member at the Department of Computer Science, Indian Institute of Technology, Tirupati, where I work on machine (deep) learning and computer vision. Before this, I held a postdoctoral position at the Visual Computing Group lead by Dr. Hakan Bilen at the University of Edinburgh Konda Reddy Mopuri, Ganeshan, A. and Babu, R.V., 2018. Generalizable data-free objective for crafting universal adversarial perturbations. IEEE transactions on pattern analysis and machine intelligence, 41(10), pp.2452-2465.

15. papers. 0. results. Research Areas. Knowledge Konda Reddy Mopuri, Phani Krishna Uppala, R. Venkatesh Babu; Proceedings of the European Conference on Computer Vision (ECCV), 2018, pp.
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Konda Reddy Mopuri. Indian Institute of Technology Tirupati. Verified email at iittp.ac.in - Homepage. GK Nayak, KR Mopuri, V Shaj, VB Radhakrishnan, A Chakraborty.