The seventh visual object tracking vot2019 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, R Pflugfelder, ... IEEE International Conference on Computer Vision (ICCV) Workshops, 0-0, 2019 | 575 | 2019 |
Adaptive neural message passing for inductive learning on hypergraphs D Arya, DK Gupta, S Rudinac, M Worring IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 96* | 2024 |
One-for-all: Generalized lora for parameter-efficient fine-tuning A Chavan, Z Liu, D Gupta, E Xing, Z Shen arXiv preprint arXiv:2306.07967, 2023 | 74 | 2023 |
Rotation Equivariant Siamese Networks for Tracking DK Gupta, D Arya, E Gavves IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 60 | 2021 |
Gas hydrate and free gas saturations using rock physics modelling at site NGHP-01-05 and 07 in the Krishna–Godavari Basin, eastern Indian margin U Shankar, DK Gupta, D Bhowmick, K Sain Journal of Petroleum Science and Engineering 106, 62-70, 2013 | 45 | 2013 |
Improving explainability of deep neural network-based electrocardiogram interpretation using variational auto-encoders RR van de Leur, MN Bos, K Taha, A Sammani, MW Yeung, ... European Heart Journal-Digital Health 3 (3), 390-404, 2022 | 41 | 2022 |
Discovering and visualizing disease-specific electrocardiogram features using deep learning: proof-of-concept in phospholamban gene mutation carriers RR van de Leur, K Taha, MN Bos, JF van der Heijden, D Gupta, ... Circulation: Arrhythmia and Electrophysiology 14 (2), e009056, 2021 | 40 | 2021 |
Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification D Arya, R Olij, DK Gupta, A El Gazzar, G van Wingen, M Worring, ... Medical Imaging with Deep Learning (MIDL), 2020 | 39 | 2020 |
ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations R Tiwari, U Bamba, A Chavan, DK Gupta International Conference on Learning Representations (ICLR), 2021 | 36 | 2021 |
Optimizing front metallization patterns: Efficiency with aesthetics in free-form solar cells DK Gupta, M Langelaar, M Barink, F van Keulen Renewable energy 86, 1332-1339, 2016 | 36 | 2016 |
Recursive ant colony optimization for estimation of parameters of a function DK Gupta, Y Arora, UK Singh, JP Gupta 2012 1st International Conference on Recent Advances in Information …, 2012 | 34 | 2012 |
Uncertainty estimation for deep learning-based automated analysis of 12-lead electrocardiograms JF Vranken, RR van de Leur, DK Gupta, LE Juarez Orozco, RJ Hassink, ... European Heart Journal-Digital Health 2 (3), 401-415, 2021 | 31 | 2021 |
Topology optimization of front metallization patterns for solar cells DK Gupta, M Langelaar, M Barink, F van Keulen Structural and Multidisciplinary Optimization 51, 941-955, 2015 | 30 | 2015 |
Design and analysis adaptivity in multiresolution topology optimization DK Gupta, F van Keulen, M Langelaar International Journal for Numerical Methods in Engineering 121 (3), 450-476, 2020 | 24 | 2020 |
Stacked autoencoders based machine learning for noise reduction and signal reconstruction in geophysical data D Bhowick, DK Gupta, S Maiti, U Shankar arXiv preprint arXiv:1907.03278, 2019 | 22* | 2019 |
FractalAnalyzer: A MATLAB Application for Multifractal Seismicity Analysis PNS Roy, DK Gupta Seismological Research Letters 86 (5), 1424-1431, 2015 | 22 | 2015 |
QR-patterns: artefacts in multiresolution topology optimization DK Gupta, M Langelaar, F van Keulen Structural and Multidisciplinary Optimization 58, 1335-1350, 2018 | 20 | 2018 |
CPV solar cell modeling and metallization optimization DK Gupta, M Barink, M Langelaar Solar Energy 159, 868-881, 2018 | 20 | 2018 |
Calibrated Adversarial Refinement for Stochastic Semantic Segmentation E Kassapis, G Dikov, DK Gupta, C Nugteren IEEE International Conference on Computer Vision (ICCV), 2021 | 18 | 2021 |
Siamese Tracking of Cell Behaviour Patterns A Panteli, DK Gupta, N de Bruin, E Gavves Medical Imaging with Deep Learning (MIDL), 2020 | 14* | 2020 |