Konda Reddy Mopuri

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 33

Top Topics

Spatial Pyramid Matching

Image Representation

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Gaurav Patel, Konda Reddy Mopuri, Qiang Qiu
Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation. CoRR (2023)
Gaurav Patel, Konda Reddy Mopuri, Qiang Qiu
Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation. CVPR (2023)
Gaurav Kumar Nayak, Konda Reddy Mopuri, Saksham Jain, Anirban Chakraborty
Mining Data Impressions From Deep Models as Substitute for the Unavailable Training Data. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Arun Kumar S, Abhijit Pal, Konda Reddy Mopuri, Rama Krishna Gorthi
Adv-Cut Paste: Semantic adversarial class specific data augmentation technique for object detection. ICPR (2022)
Bo Zhao, Konda Reddy Mopuri, Hakan Bilen
Dataset Condensation with Gradient Matching. ICLR (2021)
Harsh Rangwani, Konda Reddy Mopuri, R. Venkatesh Babu
Class balancing GAN with a classifier in the loop. UAI (2021)
Gaurav Kumar Nayak, Konda Reddy Mopuri, Anirban Chakraborty
Effectiveness of Arbitrary Transfer Sets for Data-free Knowledge Distillation. WACV (2021)
Harsh Rangwani, Konda Reddy Mopuri, R. Venkatesh Babu
Class Balancing GAN with a Classifier in the Loop. CoRR (2021)
Gaurav Kumar Nayak, Konda Reddy Mopuri, Saksham Jain, Anirban Chakraborty
Data Impressions: Mining Deep Models to Extract Samples for Data-free Applications. CoRR (2021)
Bo Zhao, Konda Reddy Mopuri, Hakan Bilen
iDLG: Improved Deep Leakage from Gradients. CoRR (2020)
Gaurav Kumar Nayak, Konda Reddy Mopuri, Anirban Chakraborty
Effectiveness of Arbitrary Transfer Sets for Data-free Knowledge Distillation. CoRR (2020)
Bo Zhao, Konda Reddy Mopuri, Hakan Bilen
Dataset Condensation with Gradient Matching. CoRR (2020)
Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu
Adversarial Fooling Beyond "Flipping the Label". CoRR (2020)
Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu
Adversarial Fooling Beyond "Flipping the Label". CVPR Workshops (2020)
Konda Reddy Mopuri, Aditya Ganeshan, R. Venkatesh Babu
Generalizable Data-Free Objective for Crafting Universal Adversarial Perturbations. IEEE Trans. Pattern Anal. Mach. Intell. 41 (10) (2019)
Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu, Anirban Chakraborty
Zero-Shot Knowledge Distillation in Deep Networks. CoRR (2019)
Konda Reddy Mopuri, Utsav Garg, R. Venkatesh Babu
CNN Fixations: An Unraveling Approach to Visualize the Discriminative Image Regions. IEEE Trans. Image Process. 28 (5) (2019)
Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, Venkatesh Babu Radhakrishnan, Anirban Chakraborty
Zero-Shot Knowledge Distillation in Deep Networks. ICML (2019)
Konda Reddy Mopuri, Utkarsh Ojha, Utsav Garg, R. Venkatesh Babu
NAG: Network for Adversary Generation. CVPR (2018)
Konda Reddy Mopuri, Phani Krishna Uppala, R. Venkatesh Babu
Ask, Acquire, and Attack: Data-Free UAP Generation Using Class Impressions. ECCV (9) (2018)
Vivek B. S., Konda Reddy Mopuri, R. Venkatesh Babu
Gray-box Adversarial Training. CoRR (2018)
Vivek B. S., Konda Reddy Mopuri, R. Venkatesh Babu
Gray-Box Adversarial Training. ECCV (15) (2018)
Konda Reddy Mopuri, Vishal B. Athreya, R. Venkatesh Babu
Learning Representations with Strong Supervision for Image Search. SPCOM (2018)
Akshayvarun Subramanya, Konda Reddy Mopuri, R. Venkatesh Babu
BatchOut: Batch-level feature augmentation to improve robustness to adversarial examples. ICVGIP (2018)
Konda Reddy Mopuri, Aditya Ganeshan, R. Venkatesh Babu
Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations. CoRR (2018)
Konda Reddy Mopuri, Phani Krishna Uppala, R. Venkatesh Babu
Ask, Acquire, and Attack: Data-free UAP Generation using Class Impressions. CoRR (2018)
Konda Reddy Mopuri, Utsav Garg, R. Venkatesh Babu
CNN Fixations: An unraveling approach to visualize the discriminative image regions. CoRR (2017)
Konda Reddy Mopuri, Vishal B. Athreya, R. Venkatesh Babu
Deep image representations using caption generators. CoRR (2017)
Konda Reddy Mopuri, Utsav Garg, R. Venkatesh Babu
Fast Feature Fool: A data independent approach to universal adversarial perturbations. CoRR (2017)
Konda Reddy Mopuri, Utsav Garg, Venkatesh Babu Radhakrishnan
Fast Feature Fool: A data independent approach to universal adversarial perturbations. BMVC (2017)
Konda Reddy Mopuri, Utkarsh Ojha, Utsav Garg, R. Venkatesh Babu
NAG: Network for Adversary Generation. CoRR (2017)
Konda Reddy Mopuri, R. Venkatesh Babu
Towards semantic visual representation: augmenting image representation with natural language descriptors. ICVGIP (2016)
Suraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri, Nikita Prabhu, Srinivas S. S. Kruthiventi, R. Venkatesh Babu
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision. CoRR (2016)
Konda Reddy Mopuri, R. Venkatesh Babu
Object level deep feature pooling for compact image representation. CVPR Workshops (2015)
Suraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri, Nikita Prabhu, Srinivas S. S. Kruthiventi, R. Venkatesh Babu
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision. Frontiers Robotics AI 2 (2015)
Konda Reddy Mopuri, R. Venkatesh Babu
Object Level Deep Feature Pooling for Compact Image Representation. CoRR (2015)