Prime Minister of Bhutan impresses Vibrant Gujarat Summit
Saurav Pramanik - Research in Electrical Engineering - ABB
Knowledge 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. Konda Reddy Mopuri, Indian Institute of Science, Computational and Data Sciences Department, Graduate Student. I am a Computer Vision and Machine Learning enthusiast.
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arXiv preprint arXiv:2001.02610, 2020. 23, 2020. 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.
Depth Estimation. Please look into each of the folders for usage instructions. Precomputed Perturbations Konda Reddy, MD, is a board-certified pediatrician and pediatric endocrinologist at AdventHealth Medical Group's pediatric diabetes and endocrinology practice and AdventHealth for Children.
Prime Minister of Bhutan impresses Vibrant Gujarat Summit
His Ph.D. thesis is titled ”Deep Visual Representations: A study on Augmentation, Visualization, and Robustness”.
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Indian Institute of Technology Tirupati. Verified email at iittp.ac.in - Homepage. GK Nayak, KR Mopuri, V Shaj, VB Radhakrishnan, A Chakraborty. Konda Reddy Mopuri is on Facebook. Join Facebook to connect with Konda Reddy Mopuri and others you may know. 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.
I solve Computer Vision problems using Deep learning techniques. Also, I am
Konda Reddy Mopuri. Search for Konda Reddy Mopuri's work. Search Search. Home Konda Reddy Mopuri. Konda Reddy Mopuri. Skip slideshow.
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Sort. Sort by citations Sort by year Sort by title. Cited by. Cited by. Year; A taxonomy of deep convolutional neural nets for computer vision. 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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View the profiles of people named Konda Reddy Mopuri. Join Facebook to connect with Konda Reddy Mopuri and others you may know. Facebook gives people the
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.
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Konda Reddy Mopuri 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 (VICO) lead by Dr. Hakan Bilen at the University of Edinburgh. Konda Reddy Mopuri (కొండా రెడ్డి మోపూరి ) Visiting Faculty Member, Dept. of CSE, IIT Tiruapti [Google Scholar] 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.
[August 22,2015] Konda Reddy and Srininvas conducted a interactive workshop on Image Analytics using OpenCV at SKCET, Coimbatore, India. [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
Recent researh efforts show that deep learning models are vulnerable to small but structured perturbations.
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Saurav Pramanik - Research in Electrical Engineering - ABB
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