| Hypersage: Generalizing inductive representation learning on hypergraphs D Arya, DK Gupta, S Rudinac, M Worring arXiv preprint arXiv:2010.04558, 2020 | 80 | 2020 |
| Rotation Equivariant Siamese Networks for Tracking DK Gupta, D Arya, E Gavves IEEE conference on computer vision and pattern recognition (CVPR), 2021 | 55 | 2021 |
| Exploiting Relational Information in Social Networks using Geometric Deep Learning on Hypergraphs D Arya, M Worring Proceedings of the 2018 ACM on International Conference on Multimedia …, 2018 | 39 | 2018 |
| 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 | 36 | 2020 |
| Visual Analytics for Temporal Hypergraph Model Exploration MT Fischer, D Arya, D Streeb, D Seebacher, DA Keim, M Worring IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020 | 34 | 2020 |
| HyperLearn: a distributed approach for representation learning in datasets with many modalities D Arya, S Rudinac, M Worring Proceedings of the 27th ACM International Conference on Multimedia (ACMMM), 2019 | 13 | 2019 |
| Hard Occlusions in Visual Object Tracking TP Kuipers, D Arya, DK Gupta European Conference on Computer Vision (ECCV) Workshop, 2020 | 10 | 2020 |
| 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 | 8 | 2024 |
| Livestock Monitoring with Transformer B Tangirala, I Bhandari, D Laszlo, DK Gupta, RM Thomas, D Arya British Machine Vision Conference (BMVC), 2021 | 6 | 2021 |
| Predicting Behavioural Patterns in Discussion Forums using Deep Learning on Hypergraphs D Arya, S Rudinac, M Worring Proceedings of the 17th IEEE Content Based Multimedia Indexing (CBMI …, 2019 | 6 | 2019 |
| Medical imaging with deep learning D Arya, R Olij, DK Gupta, A El Gazzar, G Wingen, M Worring, RM Thomas PMLR,, 2020 | 5 | 2020 |
| Visual Analytics Framework for the Assessment of Temporal Hypergraph Prediction Models D Streeb, D Arya, DA Keim, M Worring Set Visual Analytics Workshop at IEEE VIS 2019, 2019 | 4 | 2019 |
| Improving Solar Cell Metallization Designs using Convolutional Neural Networks S Bhattacharya, D Arya, D Bhowmick, RM Thomas, DK Gupta ICLR2021, Deep Learning for Simulation (SimDL) workshop, 2021 | 3 | 2021 |
| Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects BG Cardenas, D Arya, DK Gupta International Conference on Image Processing (ICIP), 2021 | 2 | 2021 |
| Interactive exploration of journalistic video footage through multimodal semantic matching S Ibrahimi, S Chen, D Arya, A Câmara, Y Chen, T Crijns, M Van Der Goes, ... Proceedings of the 27th ACM International Conference on Multimedia Demo, 2019 | 2 | 2019 |
| Significance of variable height-bandwidth group delay filters in the spectral reconstruction of speech. D Arya, A Raj, RM Hegde INTERSPEECH, 1682-1686, 2013 | 1 | 2013 |
| RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning R Tiwari, A Chavan, D Gupta, G Mago, A Gupta, A Gupta, S Sharan, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | | 2023 |
| Multimodal deep learning on hypergraphs D Arya | | 2022 |
marcel worringFull Professor, University of Amsterdam在 uva.nl 的电子邮件经过验证
