E-LIB Suche - Ergebnisse für: Mopuri, Konda Reddy

1

Artificial Intelligence and Data Science Based R&D Interven..:

Bhattacharjee, Ratnajit ; Neog, Debanga Raj ; Mopuri, Konda Reddy. - 1st ed. 2023 . , 2023

Link: https://doi.org/10.1007/..

2

Learning to Retain while Acquiring: Combating Distribution-..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Patel, Gaurav ; Mopuri, Konda Reddy ; Qiu, Qiang - p. 7786-7794 , 2023

Link: https://doi.org/10.1109/..

3

Early sign detection for the stuck pipe scenarios using uns..:

Mopuri, Konda Reddy ; Bilen, Hakan ; Tsuchihashi, Naoki...
Journal of Petroleum Science and Engineering. 208 (2022) - p. 109489 , 2022

Link: https://doi.org/10.1016/..

4

Adv-Cut Paste: Semantic adversarial class specific data aug..:

, In: 2022 26th International Conference on Pattern Recognition (ICPR),

S, Arun Kumar ; Pal, Abhijit ; Mopuri, Konda Reddy. - p. 3632-3638 , 2022

Link: https://doi.org/10.1109/..

5

Mining Data Impressions from Deep Models as Substitute for ..:

Nayak, Gaurav Kumar ; Mopuri, Konda Reddy ; Jain, Saksham.
IEEE Transactions on Pattern Analysis and Machine Intelligence. , 2021

Link: https://doi.org/10.1109/..

6

Adversarial Fooling Beyond "Flipping the Label":

, In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),

Mopuri, Konda Reddy ; Shaj, Vaisakh ; Babu, R. Venkatesh - p. 3374-3382 , 2020

Link: https://doi.org/10.1109/..

7

Generalizable Data-Free Objective for Crafting Universal Ad..:

Mopuri, Konda Reddy ; Ganeshan, Aditya ; Babu, R. Venkatesh
IEEE Transactions on Pattern Analysis and Machine Intelligence. 41 (2019) 10 - p. 2452-2465 , 2019

Link: https://doi.org/10.1109/..

8

Ask, Acquire, and Attack: Data-Free UAP Generation Using Cl..:

, In: Computer Vision – ECCV 2018; Lecture Notes in Computer Science,

Mopuri, Konda Reddy ; Uppala, Phani Krishna ; Babu, R. Venkatesh - p. 20-35 , 2018

Link: https://doi.org/10.1007/..

9

BatchOut : Batch-level feature augmentation to improve r..:

, In: Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing,

Subramanya, Akshayvarun ; Mopuri, Konda Reddy ; Babu, R. Venkatesh - p. 1-8 , 2018

Link: https://dl.acm.org/doi/1..

10

Gray-Box Adversarial Training:

, In: Computer Vision – ECCV 2018; Lecture Notes in Computer Science,

Vivek, B. S. ; Mopuri, Konda Reddy ; Babu, R. Venkatesh - p. 213-228 , 2018

Link: https://doi.org/10.1007/..

11

A Taxonomy of Deep Convolutional Neural Nets for Computer V..:

Srinivas, Suraj ; Sarvadevabhatla, Ravi Kiran ; Mopuri, Konda Reddy...
Frontiers in Robotics and AI. 2 (2016) - p. , 2016

Link: https://doi.org/10.3389/..

12

Towards semantic visual representation : augmenting imag..:

, In: Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing,

Mopuri, Konda Reddy ; Babu, R. Venkatesh - p. 1-8 , 2016

Link: https://dl.acm.org/doi/1..

13

Learning to Retain while Acquiring: Combating Distribution-..:

Patel, Gaurav ; Mopuri, Konda Reddy ; Qiu, Qiang
http://arxiv.org/abs/2302.14290. , 2023

Link: http://arxiv.org/abs/230..

14

Class Balancing GAN with a Classifier in the Loop:

Rangwani, Harsh ; Mopuri, Konda Reddy ; Babu, R. Venkatesh
http://arxiv.org/abs/2106.09402. , 2021

Link: http://arxiv.org/abs/210..

15

Mining Data Impressions from Deep Models as Substitute for ..:

Nayak, Gaurav Kumar ; Mopuri, Konda Reddy ; Jain, Saksham.
http://arxiv.org/abs/2101.06069. , 2021

Link: http://arxiv.org/abs/210..