Conferences
- Gaurav Patel, Konda Reddy Mopuri, and Qiang Qiu. "Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023.[ PDF ].
- Arun Kumar Sivapuram, Abhijit Pal, Konda Reddy Mopuri, Rama Krishna Gorthi, "Adv-Cut Paste: Semantic Adversarial Class Specific Data Augmentation Technique for Object Detection", ICPR-2022 (Accepted).
- Inoue, Tomoya, Nakagawa, Yujin, Wada, Ryota, Miyoshi, Keisuke, Abe, Shungo, Kuroda, Kouhei, Nishi, Masatoshi, Bilen, Hakan, and Konda Reddy Mopuri. ”Early Stuck Detection Using Supervised and Unsupervised Machine Learning Approaches”, Offshore Technology Conference Asia, Virtual and Kuala Lumpur, Malaysia, 2022.
- Yujin Nakagawa, Tomoya Inoue, Hakan Bilen, Konda Reddy Mopuri, Keisuke Miyoshi, Shungo Abe, Ryota Wada, Kouhei Kuroda, Hitoshi Tamamura,
An Unsupervised Learning Model for Pipe Stuck Predictions Using a Long Short-Term Memory Autoencoder Architecture , SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, 2021.
- Yujin Nakagawa, Tomoya Inoue, Hakan Bilen, Konda Reddy Mopuri, Keisuke Miyoshi, Shungo Abe, Ryota Wada, Kouhei Kuroda, Masatoshi Nishi, Hiroyasu Ogasawara,
Approach for Real-Time Prediction of Pipe Stuck Risk Using a Long Short-Term Memory Autoencoder Architecture , Abu Dhabi International Petroleum Exhibition and Conference, 2021.
- Harsh Rangwani, Konda Reddy Mopuri, R. Venkatesh Babu,
Class Balancing GAN with a Classifier in the Loop , UAI, 2021. [CORE A]
- Bo Zhao, Konda Reddy Mopuri, Hakan Bilen,
Dataset Condensation with Gradient Matching , ICLR, 2021 [CORE A*; Oral: < 2% of the submissions; 2nd top rated out of all submissions].
- Konda Reddy Mopuri*, Gaurav Kumar Nayak*,Anirban Chakraborty,
Effectiveness of Arbitrary Transfer Sets for Data-free Knowledge Distillation , WACV, 2021. [PDF] [CORE A]
- Konda Reddy Mopuri*, Vaisakh Shaj*, R. Venkatesh Babu,
Adversarial Fooling Beyond Flipping the Label , AMLCV Workshop, CVPR, 2020. [CORE A*]
- Konda Reddy Mopuri*, Gaurav Kumar Nayak*, Vaisakh Shaj*, R. Venkatesh Babu, Anirban Chakraborty,
Zero-Shot Knowledge Distillation in Deep Networks , ICML, 2019. [CORE A*; 125+ Google Scholar Citations]
- Konda Reddy Mopuri*, Phani Krishna Uppala*, and R. Venkatesh Babu,
Ask, Acquire and Attack: Data-free UAP Generation using Class Impressions , ECCV, 2018. [CORE A*] [50+ Google Scholar Citations]
- Vivek B S, Konda Reddy Mopuri, and R. Venkatesh Babu,
Gray-box Adversarial Training , ECCV, 2018. [CORE A*]
- Konda Reddy Mopuri*, Utkarsh Ojha*, Utsav Garg, and R. Venkatesh Babu,
NAG: Network for Adversary Generation , CVPR, 2018. [CORE A*] [100+ Google Scholar Citations]
- Akshayvarun Subramanya, Konda Reddy Mopuri, and R. Venkatesh Babu,
BatchOut: Batch-level feature augmentation to improve robustness to adversarial examples , ICVGIP 2018.
- Konda Reddy Mopuri, Vishal B. Athreya and R. Venkatesh Babu,
Learning Representations with Strong Supervision for Image Search , Best Paper Award at SPCOM, 2018.
- Konda Reddy Mopuri*, Utsav Garg* and R. Venkatesh Babu,
Fast Feature Fool: A data independent approach to universal adversarial perturbations , BMVC, 2017. [150+ Google Scholar Citations]
- Konda Reddy Mopuri and R. Venkatesh Babu,
Towards Semantic Visual Representation: Augmenting Image Representation with Natural Language Descriptors , in ICVGIP, 2016.
- Konda Reddy Mopuri and R. Venkatesh Babu,
Object Level Deep Feature Pooling for Compact Image Representation , in Deep Vision Workshop, CVPR, 2015. [CORE A*] [~75 Google Scholar Citations]
- Konda Reddy Mopuri, Jayasimha Talur, and R. Venkatesh Babu,
Sparse coding based VLAD for efficient image retrieval , CONECCT, 2014.
- Konda Reddy Mopuri, Sahil Arora, and R. Venkatesh Babu.
Spatio-temporal feature based vlad for efficient video retrieval , NCVPRIPG, 2013.
|