Nicolas Roth
Photo: SCIoI
Nicolas Roth is a PhD student working on computational models of attention. At SCIoI, he is working on Project 01, “Object-level scene descriptions and attention in visual search.” The aim of his project at SCIoI is to learn to form visual scene analysis strategies in humans, and employ these findings on computer vision tasks. This project is jointly supervised by Klaus Obermayer, Martin Rolfs, and Olaf Hellwich. Nico has studied physics at Ruprecht Karl University of Heidelberg, where he was mainly concerned with computational astrophysics and image processing for applications in environmental physics. Before joining SCIoI, he worked in theoretical neuroscience, more specifically predicting the impact of external stimulation on the dynamics of whole brain networks.
Final dissertation: “Saccadic decision-making in dynamic real-world scenes”, 26/02/2025.
Projects
Nicolas Roth is member of:
Publications +
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20003
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Mengers, V., Roth, N., Brock, O., Obermayer, K., & Rolfs, M. (2025). A robotics-inspired scanpath model reveals the importance of uncertainty and semantic object cues for gaze guidance in dynamic scenes. Journal of Vision, 25(2), 6. https://doi.org/10.1167/jov.25.2.6
Hamann, F., Wang, Z., Asmanis, I., Chaney, K., Gallego, G., & Daniilidis, K. (2025). Motion-Prior Contrast Maximization for Dense Continuous-Time Motion Estimation. In A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler, & G. Varol (Eds.), Computer Vision – ECCV 2024 (pp. 18–37). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-72646-0_2
Ren, Z., Liao, B., Kong, D., Li, J., Liu, P., Kneip, L., Gallego, G., & Zhou, Y. (2025). Motion and Structure from Event-Based Normal Flow. In A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler, & G. Varol (Eds.), Computer Vision – ECCV 2024 (pp. 108–125). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-72992-8_7
Guo, S., & Gallego, G. (2025). Event-Based Mosaicing Bundle Adjustment. In A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler, & G. Varol (Eds.), Computer Vision – ECCV 2024 (pp. 479–496). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-72624-8_27
Roth, N., McLaughlin, J., Obermayer, K., & Rolfs, M. (2024). Gaze Behavior Reveals Expectations of Potential Scene Changes. Psychological Science, 35(12), 1350–1363. https://doi.org/10.1177/09567976241279198
Hall, O., Qu, R., Ouerfelli-Ethier, J., Roth, N., Hellwich, O., Obermayer, K., & Rolfs, M. (2024). Saccadic decision-making in dynamic scenes under competing task demands [Poster]. European Group of Process Tracing Studies (EGPROC).
Roth, N., Rolfs, M., Hellwich, O., & Obermayer, K. (2023). Objects guide human gaze behavior in dynamic real-world scenes. PLOS Computational Biology, 19(10), e1011512. https://doi.org/10.1371/journal.pcbi.1011512
Roth, N., Shurygina, O., Muscinelli, F., Obermayer, K., & Rolfs, M. (2023, May 16). Modeling the spread of object-based attention during free viewing [Poster]. MODVIS Workshop. https://docs.lib.purdue.edu/modvis/2023/session02/3
Roth, N., McLaughlin, J., Obermayer, K., & Rolfs, M. (2023, May). Looking for potential action: Differences in exploration behavior of static and (potentially) dynamic scenes. In Journal of Vision [Poster]. Vision Sciences Society Annual Meeting (VSS). https://doi.org/10.1167/jov.23.9.5293
Srivastava, A., Rastogi, A., Rao, A., Shoeb, A. A. M., Abid, A., Fisch, A., Brown, A. R., Santoro, A., Gupta, A., Garriga-Alonso, A., Kluska, A., Lewkowycz, A., Agarwal, A., Power, A., Ray, A., Warstadt, A., Kocurek, A. W., Safaya, A., Tazarv, A., … Wu, Z. (2023). Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. Transactions on Machine Learning Research. https://openreview.net/forum?id=uyTL5Bvosj
Roth, N., Rolfs, M., & Obermayer, K. (2022, May). Scanpath prediction in dynamic real-world scenes based on object-based selection. Vision Sciences Society Annual Meeting (VSS). https://doi.org/10.1167/jov.22.14.4217
Roth, N., Rolfs, M., & Obermayer, K. (2022, May). ScanDy: Simulating Realistic Human Scanpaths in Dynamic Real-World Scenes. MODVIS Workshop. https://docs.lib.purdue.edu/modvis/2022/session01/6
Muscinelli, F., Roth, N., Shurygina, O., Obermayer, K., & Rolfs, M. (2022). Object-based Spread of Attention Affects Fixation Duration During Free Viewing. 44th European Conference on Visual Perception (ECVP).
Chouzouris, T., Roth, N., Cakan, C., & Obermayer, K. (2021). Applications of optimal nonlinear control to a whole-brain network of FitzHugh-Nagumo oscillators. Physical Review E, 104(2), 024213. https://doi.org/10.1103/PhysRevE.104.024213
Roth, N., Bideau, P., Hellwich, O., Rolfs, M., & Obermayer, K. (2021). A modular framework for object-based saccadic decisions in dynamic scenes. EPIC workshop at CVPR. https://doi.org/10.48550/ARXIV.2106.06073
Roth, N., Bideau, P., Hellwich, O., Rolfs, M., & Obermayer, K. (2021). Modeling the influence of objects on saccadic decisions in dynamic real-world scenes. 43rd European Conference on Visual Perception (ECVP).
SCIoI Research Grants (2022)
Der Tagesspiegel – November 2023 - Sehen und Übersehen: Was unsere Blicke wirklich bannt
