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<html lang="en"> <!-- <head> -->
<p style="padding:20px;width:100%;vertical-align:middle;text-align:center;font-size:50px;">Publications of DiL Lab</p>
<p style="width:100%;vertical-align:middle;text-align:center;font-size:50px"> <a href="index.html">Back to Dr. KRM</a>         <a href="dil.html">Back to DiL</a> </p>
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<!-- Pre-prints Section -->
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<heading>Pre-prints/Tech-Reports</heading>
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<li>Bo Zhao, <strong>Konda Reddy Mopuri</strong>, Hakan Bilen, <q>iDLG: Improved Deep Leakage from Gradients</q>, arXiv preprint arXiv:2001.0261, 2020. <mark>[~200 Google Scholar Citations]</mark></li>
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<heading>Book Chapters</heading>
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<li>Srinivas S, Sarvadevabhatla R, <strong>Konda Reddy Mopuri</strong>, Prabhu N, Kruthiventi S and R V Babu, <q>Deep Learning for Medical Image Analysis</q>, Elsevier, January 30, 2017.</li>
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<heading>Journals</heading>
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<li><strong>Konda Reddy Mopuri</strong>, H. Bilen, N. Tsuchihashi, R. Wada, T. Inoue, K. Kusanagi, T. Nishiyama, H. Tamamura, <q>Early Sign Detection for the Stuck Pipe Scenarios using Unsupervised Deep Learning</q>, in the <em>Journal of Petroleum Science and Engineering</em>, 2022. <a href='https://www.sciencedirect.com/science/article/pii/S092041052101130X'>[Link]</a>. <mark>[Impact Factor: 4.35]</mark> </li>
<li>Gaurav Kumar Nayak, <strong>Konda Reddy Mopuri</strong>, Saksham Jain, <a href="http://visual-computing.in/wp-content/uploads/2017/08/anirban-chakraborty.html">Anirban Chakraborty</a>, <q>Mining Data Impressions from Deep Models as Substitute for the Unavailable Training Data</q>, in <em>IEEE Trans. on PAMI </em>, 2021. <a href="https://arxiv.org/abs/2101.06069">[PDF]</a> <mark>[Impact Factor: 16.4]</mark> </li>
<li>N. Tsuchihashi, R. Wada, M. Osaki, T. Inoue, <strong>K. R. Mopuri</strong>, H. Bilen, T. Nishiyama, K. Fujita, K. Kusanagi. <q>Early Stuck Pipe Sign Detection with Depth-Domain 3D Convolutional Neural Network Using Actual Drilling Data</q>, SPE Journal (2021). [Impact Factor: 3.48, <mark>Scopus Rank: #4/189</mark>] </li>
<li><strong>Konda Reddy Mopuri*</strong>, Aditya Ganeshan*, and R. Venkatesh Babu, <q>Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations</q>, in <em>IEEE Trans. on PAMI</em>, 2018. <mark>[Impact Factor: 16.4] [~150 Google Scholar Citations]</mark> </li>
<li><strong>Konda Reddy Mopuri*</strong>, Utsav Garg, R. Venkatesh Babu, <q>CNN Fixations: An unraveling approach to visualize the discriminative image regions</q>, in <em>IEEE Trans. on IP</em>, 2018. <mark>[Impact Factor: 10.86] </mark></li>
<li>Srinivas S, Sarvadevabhatla R, <strong>Konda Reddy Mopuri</strong>, Prabhu N, Kruthiventi S and Radhakrishnan V, <q>A taxonomy of Deep Convolutional Neural Networks for Computer Vision</q>, in <em>Frontiers in Robotics and AI</em>, 2016. <mark>[200+ Google Scholar Citations]</mark></li>
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<heading>Conferences</heading>
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<li>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.[ <a href='https://openaccess.thecvf.com/content/CVPR2023/papers/Patel_Learning_To_Retain_While_Acquiring_Combating_Distribution-Shift_in_Adversarial_Data-Free_CVPR_2023_paper.pdf'>PDF</a> ].</li>
<li>Arun Kumar Sivapuram, Abhijit Pal, <strong>Konda Reddy Mopuri</strong>, Rama Krishna Gorthi, "Adv-Cut Paste: Semantic Adversarial Class Specific Data Augmentation Technique for Object Detection", ICPR-2022 (Accepted).</li>
<li>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.</li>
<li>Yujin Nakagawa, Tomoya Inoue, Hakan Bilen, <strong>Konda Reddy Mopuri</strong>, Keisuke Miyoshi, Shungo Abe, Ryota Wada, Kouhei Kuroda, Hitoshi Tamamura, <q>An Unsupervised Learning Model for Pipe Stuck Predictions Using a Long Short-Term Memory Autoencoder Architecture</q>, SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, 2021.</li>
<li>Yujin Nakagawa, Tomoya Inoue, Hakan Bilen, <strong>Konda Reddy Mopuri</strong>, Keisuke Miyoshi, Shungo Abe, Ryota Wada, Kouhei Kuroda, Masatoshi Nishi, Hiroyasu Ogasawara, <q>Approach for Real-Time Prediction of Pipe Stuck Risk Using a Long Short-Term Memory Autoencoder Architecture</q>, Abu Dhabi International Petroleum Exhibition and Conference, 2021.</li>
<li>Harsh Rangwani, <strong>Konda Reddy Mopuri</strong>, R. Venkatesh Babu, <q>Class Balancing GAN with a Classifier in the Loop</q>, <strong>UAI</strong>, 2021. <mark>[CORE A]</mark></li>
<li>Bo Zhao, <strong>Konda Reddy Mopuri</strong>, Hakan Bilen, <q>Dataset Condensation with Gradient Matching</q>, <strong>ICLR</strong>, 2021 <mark>[CORE A*; Oral: < 2% of the submissions; 2nd top rated out of all submissions]</mark>.</li>
<li><strong>Konda Reddy Mopuri*</strong>, Gaurav Kumar Nayak*,<a href="http://visual-computing.in/wp-content/uploads/2017/08/anirban-chakraborty.html">Anirban Chakraborty</a>,
<q>Effectiveness of Arbitrary Transfer Sets for Data-free Knowledge Distillation</q>, <strong>WACV</strong>, 2021. <a href="https://arxiv.org/pdf/2011.09113">[PDF]</a> <mark>[CORE A]</mark></li>
<li><strong>Konda Reddy Mopuri*</strong>, Vaisakh Shaj*, R. Venkatesh Babu, <q>Adversarial Fooling Beyond Flipping the Label</q>, AMLCV Workshop, <strong>CVPR</strong>, 2020. <mark>[CORE A*]</mark></li>
<li><strong>Konda Reddy Mopuri*</strong>, Gaurav Kumar Nayak*, Vaisakh Shaj*, R. Venkatesh Babu, Anirban Chakraborty, <q>Zero-Shot Knowledge Distillation in Deep Networks</q>, <strong>ICML</strong>, 2019. <mark>[CORE A*; 125+ Google Scholar Citations]</mark></li>
<li><strong>Konda Reddy Mopuri*</strong>, Phani Krishna Uppala*, and R. Venkatesh Babu, <q>Ask, Acquire and Attack: Data-free UAP Generation using Class Impressions</q>, <strong>ECCV</strong>, 2018. <mark>[CORE A*] [50+ Google Scholar Citations]</mark></li>
<li>Vivek B S, <strong>Konda Reddy Mopuri</strong>, and R. Venkatesh Babu, <q>Gray-box Adversarial Training</q>, <strong>ECCV</strong>, 2018. <mark>[CORE A*]</mark></li>
<li><strong>Konda Reddy Mopuri*</strong>, Utkarsh Ojha*, Utsav Garg, and R. Venkatesh Babu, <q>NAG: Network for Adversary Generation</q>, <strong>CVPR</strong>, 2018. <mark>[CORE A*] [100+ Google Scholar Citations]</mark></li>
<li>Akshayvarun Subramanya, <strong>Konda Reddy Mopuri</strong>, and R. Venkatesh Babu, <q>BatchOut: Batch-level feature augmentation to improve robustness to adversarial examples</q>, ICVGIP 2018.</li>
<li><strong>Konda Reddy Mopuri</strong>, Vishal B. Athreya and R. Venkatesh Babu, <q>Learning Representations with Strong Supervision for Image Search</q>, <mark>Best Paper Award</mark> at SPCOM, 2018.</li>
<li><strong>Konda Reddy Mopuri*</strong>, Utsav Garg* and R. Venkatesh Babu, <q>Fast Feature Fool: A data independent approach to universal adversarial perturbations</q>, <strong>BMVC</strong>, 2017. <mark>[150+ Google Scholar Citations]</mark></li>
<li><strong>Konda Reddy Mopuri</strong> and R. Venkatesh Babu, <q>Towards Semantic Visual Representation: Augmenting Image Representation with Natural Language Descriptors</q>, in ICVGIP, 2016.</li>
<li><strong>Konda Reddy Mopuri</strong> and R. Venkatesh Babu,<q>Object Level Deep Feature Pooling for Compact Image Representation</q>, in Deep Vision Workshop, <strong>CVPR</strong>, 2015. <mark>[CORE A*] [~75 Google Scholar Citations]</mark></li>
<li><strong>Konda Reddy Mopuri</strong>, Jayasimha Talur, and R. Venkatesh Babu, <q>Sparse coding based VLAD for efficient image retrieval</q>, CONECCT, 2014.</li>
<li><strong>Konda Reddy Mopuri</strong>, Sahil Arora, and R. Venkatesh Babu. <q>Spatio-temporal feature based vlad for efficient video retrieval</q>, NCVPRIPG, 2013.</li>
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