| 2025 | CVPR | Making Every Event Count: Balancing Data Efficiency and Accuracy in Event Camera Subsampling. | Hesam Araghi, Jan van Gemert, Nergis Tomen |
| 2025 | CVPR | Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems. | Alejandro Castaeda Garcia, Jan Warchocki, Jan van Gemert, Daan Brinks, Nergis Tomen |
| 2024 | ECCV | Pushing the Boundaries of Event Subsampling in Event-Based Video Classification Using CNNs. | Hesam Araghi, Jan van Gemert, Nergis Tomen |
| 2022 | BMVC | Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation. | Liang Zeng, Attila Lengyel, Nergis Tomen, Jan C. van Gemert |
| 2022 | ICIP | Heart rate estimation in intense exercise videos. | Yeshwanth Napolean, Anwesh Marwade, Nergis Tomen, Puck Alkemade, Thijs Eijsvogels, Jan C. van Gemert |
| 2021 | BMVC | Frequency learning for structured CNN filters with Gaussian fractional derivatives. | Nikhil Saldanha, Silvia-Laura Pintea, Jan C. van Gemert, Nergis Tomen |
| 2021 | ICCV | Spectral Leakage and Rethinking the Kernel Size in CNNs. | Nergis Tomen, Jan C. van Gemert |
| 2021 | ICML | Deep Continuous Networks. | Nergis Tomen, Silvia-Laura Pintea, Jan van Gemert |
| 2020 | CVPR | Top-Down Networks: A coarse-to-fine reimagination of CNNs. | Ioannis Lelekas, Nergis Tomen, Silvia L. Pintea, Jan C. van Gemert |