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Results: 11
Number of items: 11
  • Open Access
    Arya, D., Gupta, D. K., Rudinac, S., & Worring, M. (2025). Adaptive Neural Message Passing for Inductive Learning on Hypergraphs. IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(1), 19-31. https://doi.org/10.1109/TPAMI.2024.3434483
  • Open Access
    Arya, D. (2022). Multimodal deep learning on hypergraphs. [Thesis, fully internal, Universiteit van Amsterdam].
  • Cardenas, B., Arya, D., & Gupta, D. K. (2021). Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects. In 2021 IEEE International Conference on Image Processing: proceedings : 19-22 September 2021, Anchorage, Alaska, USA (pp. 834-838). (ICIP). IEEE. https://doi.org/10.1109/ICIP42928.2021.9506406
  • Open Access
    Gupta, D. K., Arya, D., & Gavves, E. (2021). Rotation Equivariant Siamese Networks for Tracking. In Proceedings, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition: virtual, 9-25 June 2021 (pp. 12357-12366). (CVPR). Conference Publishing Services, IEEE Computer Society. https://doi.org/10.48550/arXiv.2012.13078, https://doi.org/10.1109/CVPR46437.2021.01218
  • Open Access
    Tangirala, B., Bhandari, I., Laszlo, D., Gupta, D. K., Thomas, R. M., & Arya, D. (2021). Livestock Monitoring with Transformer. In 32nd British Machine Vision Conference 2021: BMVC 2021, Online, November 22-25, 2021 Article 323 BMVA Press.
  • Kuipers, T. P., Arya, D., & Gupta, D. K. (2020). Hard Occlusions in Visual Object Tracking. In A. Bartoli, & A. Fusiello (Eds.), Computer Vision – ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 : proceedings (Vol. V, pp. 299-314). (Lecture Notes in Computer Science; Vol. 12539). Springer. https://doi.org/10.1007/978-3-030-68238-5_22
  • Open Access
    Arya, D., Olij, R., Gupta, D. K., El Gazzar, A., van Wingen, G., Worring, M., & Thomas, R. M. (2020). Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification. Proceedings of Machine Learning Research, 121, 44-61. http://proceedings.mlr.press/v121/arya20a.html
  • Ibrahimi, S., Chen, S., Arya, D., Câmara, A., Chen, Y., Crijns, T., van der Goes, M., Mensink, T., van Miltenburg, E., Odijk, D., Thong, W., Zhao, J., & Mettes, P. (2019). Interactive Exploration of Journalistic Video Footage through Multimodal Semantic Matching. In MM'19: proceedings of the 27th ACM Conference on Multimedia : October 21-25, 2019, Nice, France (pp. 2196-2198). Association for Computing Machinery. https://doi.org/10.1145/3343031.3350597
  • Open Access
    Arya, D., Rudinac, S., & Worring, M. (2019). Predicting Behavioural Patterns in Discussion Forums using Deep Learning on Hypergraphs. In C. Gurrin, B. Þ. Jónsson, R. Péteri, S. Rudinac, S. Marchand-Maillet, G. Quénot, K. McGuinness, G. Þ. Guðmundsson, S. Little, M. Katsurai, & G. Healy (Eds.), 2019 International Conference on Content-Based Multimedia Indexing (CBMI): proceedings : September 4-6, 2019, held at: DCU All Hallows Campus, Dublin 9, Ireland (pp. 210-215). IEEE. https://doi.org/10.1109/CBMI.2019.8877384
  • Open Access
    Arya, D., Rudinac, S., & Worring, M. (2019). HyperLearn: A Distributed Approach for Representation Learning in Datasets With Many Modalities. In MM'19: proceedings of the 27th ACM Conference on Multimedia : October 21-25, 2019, Nice, France (pp. 2245-2253). Association for Computing Machinery. https://doi.org/10.1145/3343031.3350572
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