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 …
Konda Reddy Mopuri, Utkarsh Ojha, Utsav Garg, R. Venkatesh Babu; Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Research Areas. Knowledge Recent researh efforts show that deep learning models are vulnerable to small but structured perturbations. 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.
- Di se bilvardering
- Fa permanent uppehallstillstand i sverige
- Kardiovaskular sjukdom
- Burmese food
- Vad rösta på i eu valet
- Första hjälpen kit hemma
He worked with Samsung India, Bangalore from 2011 to 2012. Konda Reddy Mopuri IISc Banglore 6 total contributions since 2013 Professional Interests: Image /Video Processing, Computer Vision, Data Science, Machine Learning. Contact. 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, 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. Also, I am
Konda Reddy Mopuri currently works as a Post Doctoral researcher at the School of Informatics, University of Edinburgh, UK. Konda's research interests broadly lie at the intersection of Computer 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.. Before this, I held a postdoctoral position at the Visual Computing Group lead by Dr. Hakan Bilen at the University of Edinburgh.I did my PhD at Indian Institute of Science, Bengaluru, where I was advised by Prof Konda Reddy Mopuri (కొండా రెడ్డి మోపూరి ) Visiting Faculty Member, Dept.
Konda Reddy Mopuri Author page based on publicly available paper data. 8. papers with code. 15. papers. 0. results. Research Areas. Knowledge
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.
His Ph.D. thesis is titled ”Deep Visual Representations: A study on Augmentation, Visualization, and Robustness”. Read Konda Reddy Mopuri's latest research, browse their coauthor's research, and play around with their algorithms
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. Konda Reddy Mopuri, works at Samsung R&D Institute - Bangalore
Konda Reddy Mopuri. Search for Konda Reddy Mopuri's work.
Ibct therapy
[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. This quasi-imperceptible noise can fool the state Konda Reddy Fort, also known as Kondareddy Buruju is a fort situated in the city of Kurnool in Andhra Pradesh, India.At a distance of 2 km from Kurnool Railway Station and 24 km from Alampur, Konda Reddy Buruju is an imposing structure situated in the heart of Kurnool City.
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.
Hur mycket skatt pa bilen
lediga barnskötarjobb nacka
indesign 30 dagar
telenor foretag ultrasurf
köpa gamla saxar
- Sören kierkegaard citat om jag vill lyckas
- Ögonakut malmö
- Helsingborg suecia
- Principalansvar advokat
- Egen avgång ur styrelsen avgift
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.
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.