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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
  • 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
  • Gupta, D. K., Gavves, E., & Smeulders, A. W. M. (2021). Tackling Occlusion in Siamese Tracking with Structured Dropouts. In Proceedings of ICPR 2020: 25th International Conference on Pattern Recognition : Milan, 10-15 January 2021 (pp. 5804-5811). IEEE. https://doi.org/10.1109/ICPR48806.2021.9412120
  • Open Access
    Gavves, E., Tao, R., Gupta, D. K., & Smeulders, A. W. M. (2021). Model Decay in Long-Term Tracking. In Proceedings of ICPR 2020: 25th International Conference on Pattern Recognition : Milan, 10-15 January 2021 (pp. 2685-2692). IEEE. https://doi.org/10.1109/ICPR48806.2021.9412648
  • 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
    Panteli, A., Gupta, D. K., de Bruijn, N., & Gavves, E. (2020). Siamese Tracking of Cell Behaviour Patterns. Proceedings of Machine Learning Research, 121, 570-587. http://proceedings.mlr.press/v121/panteli20a.html
  • 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
  • Kristan, M., Matas, J., Leonardis, A., Felsberg, M., Pflugfelder, R., Kämäräinen, J.-K., Čehovin Zajc, L., Drbohlav, O., Lukežič, A., Berg, A., Eldesokey, A., Käpylä, J., Fernández, G., Gonzalez-Garcia, A., Memarmoghadam, A., Lu, A., He, A., Varfolomieiev, A., Chan, A., ... Ni, Z. (2019). The Seventh Visual Object Tracking VOT2019 Challenge Results. In 2019 International Conference on Computer Vision, Workshops: proceedings : 27 October-2 November 2019, Seoul, Korea (pp. 2206-2241). IEEE Computer Society. https://doi.org/10.1109/ICCVW.2019.00276
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