Konda Reddy Mopuri

49 papers A* 5A 3B 1Journal 30Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Rethinking Coreset Selection: The Surprising Effectiveness of Soft Labels.
Trans. Mach. Learn. Res.
Saumyaranjan Mohanty, Deexitha Vattivella, Konda Reddy Mopuri
2025 J jnl
Coreset-Driven Re-Labeling: Tackling Noisy Annotations with Noise-Free Gradients.
Trans. Mach. Learn. Res.
Saumyaranjan Mohanty, Konda Reddy Mopuri
2025 J jnl
DermaCon-IN: A Multi-concept Annotated Dermatological Image Dataset of Indian Skin Disorders for Clinical AI Research.
CoRR
Shanawaj S. Madarkar, Mahajabeen Madarkar, Madhumitha V, Teli Prakash, Konda Reddy Mopuri, Vinaykumar MV, KVL Sathwika, Adarsh Kasturi, Gandla Dilip Raj, Prashanth PVN, Harsh Udai
2025 J jnl
DiRe: Diversity-promoting Regularization for Dataset Condensation.
CoRR
Saumyaranjan Mohanty, Aravind Reddy, Konda Reddy Mopuri
2025 J jnl
Distill, Forget, Repeat: A Framework for Continual Unlearning in Text-to-Image Diffusion Models.
CoRR
Naveen George, Naoki Murata, Yuhta Takida, Konda Reddy Mopuri, Yuki Mitsufuji
2025 J jnl
Exploring Compositionality in Vision Transformers using Wavelet Representations.
CoRR
Akshad Shyam Purushottamdas, Pranav K. Nayak, Divya Mehul Rajparia, Deekshith Patel, Yashmitha Gogineni, Konda Reddy Mopuri, Sumohana S. Channappayya
2025 J jnl
FaAlGrad: Fairness through Alignment of Gradients across Different Subpopulations.
Trans. Mach. Learn. Res.
Nikita Malik, Konda Reddy Mopuri
2025 J jnl
Noise-free Loss Gradients: A Surprisingly Effective Baseline for Coreset Selection.
Trans. Mach. Learn. Res.
Saumyaranjan Mohanty, Chimata Anudeep, Konda Reddy Mopuri
2025 — conf
Rel-SA: Alzheimer's Disease Detection using Relevance-augmented Self Attention by Inducing Domain Priors in Vision Transformers.
CVPR Workshops
Madhumitha V, Sunayna Padhye, Shanawaj S. Madarkar, Susmit Agrawal, Konda Reddy Mopuri
2025 A* conf
The Illusion of Unlearning: The Unstable Nature of Machine Unlearning in Text-to-Image Diffusion Models.
CVPR
Naveen George, Karthik Nandan Dasaraju, Rutheesh Reddy Chittepu, Konda Reddy Mopuri
2024 — conf
Lost in Context: The Influence of Context on Feature Attribution Methods for Object Recognition.
ICVGIP
Sayanta Adhikari, Rishav Kumar, Konda Reddy Mopuri, Rajalakshmi Pachamuthu
2024 J jnl
Lost in Context: The Influence of Context on Feature Attribution Methods for Object Recognition.
CoRR
Sayanta Adhikari, Rishav Kumar, Konda Reddy Mopuri, Rajalakshmi Pachamuthu
2023 A* conf
Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation.
CVPR
Gaurav Patel, Konda Reddy Mopuri, Qiang Qiu
2023 J jnl
Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation.
CoRR
Gaurav Patel, Konda Reddy Mopuri, Qiang Qiu
2022 B conf
Adv-Cut Paste: Semantic adversarial class specific data augmentation technique for object detection.
ICPR
Arun Kumar Sivapuram, Abhijit Pal, Konda Reddy Mopuri, Rama Krishna Sai S. Gorthi
2022 J jnl
Mining Data Impressions From Deep Models as Substitute for the Unavailable Training Data.
IEEE Trans. Pattern Anal. Mach. Intell.
Gaurav Kumar Nayak, Konda Reddy Mopuri, Saksham Jain, Anirban Chakraborty
2021 J jnl
Class Balancing GAN with a Classifier in the Loop.
CoRR
Harsh Rangwani, Konda Reddy Mopuri, R. Venkatesh Babu
2021 A conf
Class balancing GAN with a classifier in the loop.
UAI
Harsh Rangwani, Konda Reddy Mopuri, R. Venkatesh Babu
2021 J jnl
Data Impressions: Mining Deep Models to Extract Samples for Data-free Applications.
CoRR
Gaurav Kumar Nayak, Konda Reddy Mopuri, Saksham Jain, Anirban Chakraborty
2021 A* conf
Dataset Condensation with Gradient Matching.
ICLR
Bo Zhao, Konda Reddy Mopuri, Hakan Bilen
2021 A conf
Effectiveness of Arbitrary Transfer Sets for Data-free Knowledge Distillation.
WACV
Gaurav Kumar Nayak, Konda Reddy Mopuri, Anirban Chakraborty
2020 — conf
Adversarial Fooling Beyond "Flipping the Label".
CVPR Workshops
Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu
2020 J jnl
Adversarial Fooling Beyond "Flipping the Label".
CoRR
Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu
2020 J jnl
Dataset Condensation with Gradient Matching.
CoRR
Bo Zhao, Konda Reddy Mopuri, Hakan Bilen
2020 J jnl
Effectiveness of Arbitrary Transfer Sets for Data-free Knowledge Distillation.
CoRR
Gaurav Kumar Nayak, Konda Reddy Mopuri, Anirban Chakraborty
2020 J jnl
iDLG: Improved Deep Leakage from Gradients.
CoRR
Bo Zhao, Konda Reddy Mopuri, Hakan Bilen
2019 J jnl
CNN Fixations: An Unraveling Approach to Visualize the Discriminative Image Regions.
IEEE Trans. Image Process.
Konda Reddy Mopuri, Utsav Garg, R. Venkatesh Babu
2019 J jnl
Generalizable Data-Free Objective for Crafting Universal Adversarial Perturbations.
IEEE Trans. Pattern Anal. Mach. Intell.
Konda Reddy Mopuri, Aditya Ganeshan, R. Venkatesh Babu
2019 A* conf
Zero-Shot Knowledge Distillation in Deep Networks.
ICML
Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, Venkatesh Babu Radhakrishnan, Anirban Chakraborty
2019 J jnl
Zero-Shot Knowledge Distillation in Deep Networks.
CoRR
Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu, Anirban Chakraborty
2018 — conf
Ask, Acquire, and Attack: Data-Free UAP Generation Using Class Impressions.
ECCV (9)
Konda Reddy Mopuri, Phani Krishna Uppala, R. Venkatesh Babu
2018 J jnl
Ask, Acquire, and Attack: Data-free UAP Generation using Class Impressions.
CoRR
Konda Reddy Mopuri, Phani Krishna Uppala, R. Venkatesh Babu
2018 — conf
BatchOut: Batch-level feature augmentation to improve robustness to adversarial examples.
ICVGIP
Akshayvarun Subramanya, Konda Reddy Mopuri, R. Venkatesh Babu
2018 J jnl
Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations.
CoRR
Konda Reddy Mopuri, Aditya Ganeshan, R. Venkatesh Babu
2018 — conf
Gray-Box Adversarial Training.
ECCV (15)
Vivek B. S., Konda Reddy Mopuri, R. Venkatesh Babu
2018 J jnl
Gray-box Adversarial Training.
CoRR
Vivek B. S., Konda Reddy Mopuri, R. Venkatesh Babu
2018 — conf
Learning Representations with Strong Supervision for Image Search.
SPCOM
Konda Reddy Mopuri, Vishal B. Athreya, R. Venkatesh Babu
2018 A* conf
NAG: Network for Adversary Generation.
CVPR
Konda Reddy Mopuri, Utkarsh Ojha, Utsav Garg, R. Venkatesh Babu
2017 — ch.
An Introduction to Deep Convolutional Neural Nets for Computer Vision.
Deep Learning for Medical Image Analysis
Suraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri, Nikita Prabhu, Srinivas S. S. Kruthiventi, R. Venkatesh Babu
2017 J jnl
CNN Fixations: An unraveling approach to visualize the discriminative image regions.
CoRR
Konda Reddy Mopuri, Utsav Garg, R. Venkatesh Babu
2017 J jnl
Deep image representations using caption generators.
CoRR
Konda Reddy Mopuri, Vishal B. Athreya, R. Venkatesh Babu
2017 A conf
Fast Feature Fool: A data independent approach to universal adversarial perturbations.
BMVC
Konda Reddy Mopuri, Utsav Garg, Venkatesh Babu Radhakrishnan
2017 J jnl
Fast Feature Fool: A data independent approach to universal adversarial perturbations.
CoRR
Konda Reddy Mopuri, Utsav Garg, R. Venkatesh Babu
2017 J jnl
NAG: Network for Adversary Generation.
CoRR
Konda Reddy Mopuri, Utkarsh Ojha, Utsav Garg, R. Venkatesh Babu
2016 J jnl
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision.
CoRR
Suraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri, Nikita Prabhu, Srinivas S. S. Kruthiventi, R. Venkatesh Babu
2016 — conf
Towards semantic visual representation: augmenting image representation with natural language descriptors.
ICVGIP
Konda Reddy Mopuri, R. Venkatesh Babu
2015 J jnl
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision.
Frontiers Robotics AI
Suraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri, Nikita Prabhu, Srinivas S. S. Kruthiventi, R. Venkatesh Babu
2015 J jnl
Object Level Deep Feature Pooling for Compact Image Representation.
CoRR
Konda Reddy Mopuri, R. Venkatesh Babu
2015 — conf
Object level deep feature pooling for compact image representation.
CVPR Workshops
Konda Reddy Mopuri, R. Venkatesh Babu