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Konda Reddy Mopuri
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Year
idlg: Improved deep leakage from gradients
B Zhao, KR Mopuri, H Bilen
arXiv preprint arXiv:2001.02610, 2020
5712020
Dataset condensation with gradient matching
B Zhao, KR Mopuri, H Bilen
arXiv preprint arXiv:2006.05929, 2020
3632020
A taxonomy of deep convolutional neural nets for computer vision
S Srinivas, RK Sarvadevabhatla, KR Mopuri, N Prabhu, SSS Kruthiventi, ...
Frontiers in Robotics and AI 2, 36, 2016
2842016
Fast feature fool: A data independent approach to universal adversarial perturbations
KR Mopuri, U Garg, RV Babu
Proccedings of British Machine Vision Conference (BMVC), 2017
2532017
Zero-shot knowledge distillation in deep networks
GK Nayak, KR Mopuri, V Shaj, VB Radhakrishnan, A Chakraborty
International Conference on Machine Learning, 4743-4751, 2019
2502019
Generalizable data-free objective for crafting universal adversarial perturbations
KR Mopuri, A Ganeshan, VB Radhakrishnan
IEEE transactions on pattern analysis and machine intelligence, 2018
2292018
NAG: Network for Adversary Generation
KR Mopuri, U Ojha, U Garg, RV Babu
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
1902018
Ask, acquire, and attack: Data-free uap generation using class impressions
KR Mopuri, PK Uppala, RV Babu
Proceedings of the European Conference on Computer Vision (ECCV), 19-34, 2018
1012018
Object level deep feature pooling for compact image representation
K Reddy Mopuri, R Venkatesh Babu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
832015
Cnn fixations: an unraveling approach to visualize the discriminative image regions
KR Mopuri, U Garg, RV Babu
IEEE Transactions on Image Processing 28 (5), 2116-2125, 2018
682018
Gray-box adversarial training
BS Vivek, KR Mopuri, RV Babu
Proceedings of the European conference on computer vision (ECCV), 203-218, 2018
472018
An introduction to deep convolutional neural nets for computer vision
S Srinivas, RK Sarvadevabhatla, KR Mopuri, N Prabhu, SSS Kruthiventi, ...
Deep learning for medical image analysis, 25-52, 2017
392017
Bilen, H. idlg: Improved deep leakage from gradients
B Zhao, KR Mopuri
arXiv preprint arXiv:2001.02610, 2020
352020
Early stuck pipe sign detection with depth-domain 3D convolutional neural network using actual drilling data
N Tsuchihashi, R Wada, M Ozaki, T Inoue, KR Mopuri, H Bilen, ...
SPE Journal 26 (02), 551-562, 2021
322021
Early sign detection for the stuck pipe scenarios using unsupervised deep learning
KR Mopuri, H Bilen, N Tsuchihashi, R Wada, T Inoue, K Kusanagi, ...
Journal of Petroleum Science and Engineering 208, 109489, 2022
262022
Effectiveness of arbitrary transfer sets for data-free knowledge distillation
GK Nayak, KR Mopuri, A Chakraborty
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
222021
Class balancing gan with a classifier in the loop
H Rangwani, KR Mopuri, RV Babu
Uncertainty in Artificial Intelligence, 1618-1627, 2021
192021
Learning to retain while acquiring: Combating distribution-shift in adversarial data-free knowledge distillation
G Patel, KR Mopuri, Q Qiu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
172023
Mining Data Impressions From Deep Models as Substitute for the Unavailable Training Data
GK Nayak, KR Mopuri, S Jain, A Chakraborty
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 8465 …, 2021
112021
An unsupervised learning model for pipe stuck predictions using a long short-term memory autoencoder architecture
Y Nakagawa, T Inoue, H Bilen, KR Mopuri, K Miyoshi, S Abe3, R Wada, ...
SPE Asia Pacific Oil and Gas Conference and Exhibition, D011S009R006, 2021
92021
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