Konda Reddy Mopuri

According to our database, Konda Reddy Mopuri authored at least 23 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation.

Gaurav Patel, Konda Reddy Mopuri, Qiang Qiu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Mining Data Impressions From Deep Models as Substitute for the Unavailable Training Data.

Gaurav Kumar Nayak, Konda Reddy Mopuri, Saksham Jain, Anirban Chakraborty

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Adv-Cut Paste: Semantic adversarial class specific data augmentation technique for object detection.

Arun Kumar Sivapuram, Abhijit Pal, Konda Reddy Mopuri, Rama Krishna Gorthi

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

Data Impressions: Mining Deep Models to Extract Samples for Data-free Applications.

Gaurav Kumar Nayak, Konda Reddy Mopuri, Saksham Jain, Anirban Chakraborty

CoRR, 2021

Effectiveness of Arbitrary Transfer Sets for Data-free Knowledge Distillation.

Gaurav Kumar Nayak, Konda Reddy Mopuri, Anirban Chakraborty

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Class balancing GAN with a classifier in the loop.

Harsh Rangwani, Konda Reddy Mopuri, R. Venkatesh Babu

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Dataset Condensation with Gradient Matching.

Bo Zhao, Konda Reddy Mopuri, Hakan Bilen

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

iDLG: Improved Deep Leakage from Gradients.

Bo Zhao, Konda Reddy Mopuri, Hakan Bilen

CoRR, 2020

Adversarial Fooling Beyond "Flipping the Label".

Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

CNN Fixations: An Unraveling Approach to Visualize the Discriminative Image Regions.

Konda Reddy Mopuri, Utsav Garg, R. Venkatesh Babu

IEEE Trans. Image Process., 2019

Generalizable Data-Free Objective for Crafting Universal Adversarial Perturbations.

Konda Reddy Mopuri, Aditya Ganeshan, R. Venkatesh Babu

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Zero-Shot Knowledge Distillation in Deep Networks.

Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, Venkatesh Babu Radhakrishnan, Anirban Chakraborty

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Learning Representations with Strong Supervision for Image Search.

Konda Reddy Mopuri, Vishal B. Athreya, R. Venkatesh Babu

Proceedings of the 2018 International Conference on Signal Processing and Communications (SPCOM), 2018

BatchOut: Batch-level feature augmentation to improve robustness to adversarial examples.

Akshayvarun Subramanya, Konda Reddy Mopuri, R. Venkatesh Babu

Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018

Gray-Box Adversarial Training.

Vivek B. S., Konda Reddy Mopuri, R. Venkatesh Babu

Proceedings of the Computer Vision - ECCV 2018, 2018

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

Konda Reddy Mopuri, Phani Krishna Uppala, R. Venkatesh Babu

Proceedings of the Computer Vision - ECCV 2018, 2018

NAG: Network for Adversary Generation.

Konda Reddy Mopuri, Utkarsh Ojha, Utsav Garg, R. Venkatesh Babu

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Deep image representations using caption generators.

Konda Reddy Mopuri, Vishal B. Athreya, R. Venkatesh Babu

CoRR, 2017

Fast Feature Fool: A data independent approach to universal adversarial perturbations.

Konda Reddy Mopuri, Utsav Garg, Venkatesh Babu Radhakrishnan

Proceedings of the British Machine Vision Conference 2017, 2017

An Introduction to Deep Convolutional Neural Nets for Computer Vision.

Suraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri, Nikita Prabhu, Srinivas S. S. Kruthiventi, R. Venkatesh Babu

Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2016

Towards semantic visual representation: augmenting image representation with natural language descriptors.

Konda Reddy Mopuri, R. Venkatesh Babu

Proceedings of the Tenth Indian Conference on Computer Vision, 2016

2015

A Taxonomy of Deep Convolutional Neural Nets for Computer Vision.

Suraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri, Nikita Prabhu, Srinivas S. S. Kruthiventi, R. Venkatesh Babu

Frontiers Robotics AI, 2015

Object level deep feature pooling for compact image representation.

Konda Reddy Mopuri, R. Venkatesh Babu

Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015