Nikola Zubic

According to our database, Nikola Zubic authored at least 13 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

On the Expressive Power and Limitations of Multi-Layer SSMs.

Nikola Zubic, Qian Li, Yuyi Wang, Davide Scaramuzza

CoRR, April, 2026

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention.

Haiqing Hao, Zhipeng Sui, Rong Zou, Zijia Dai, Nikola Zubic, Davide Scaramuzza, Wenhui Wang

CoRR, March, 2026

2025

Hybrid Event Frame Sensors: Modeling, Calibration, and Simulation.

Yunfan Lu, Nico Messikommer, Xiaogang Xu, Liming Chen, Yuhan Chen, Nikola Zubic, Davide Scaramuzza, Hui Xiong

CoRR, November, 2025

Regularity and Stability Properties of Selective SSMs with Discontinuous Gating.

Nikola Zubic, Davide Scaramuzza

CoRR, May, 2025

Maximizing Asynchronicity in Event-based Neural Networks.

Haiqing Hao, Nikola Zubic, Weihua He, Zhipeng Sui, Davide Scaramuzza, Wenhui Wang

CoRR, May, 2025

Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory.

Nikola Zubic, Federico Soldà, Aurelio L. Sulser, Davide Scaramuzza

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

GG-SSMs: Graph-Generating State Space Models.

Nikola Zubic, Davide Scaramuzza

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Perturbed State Space Feature Encoders for Optical Flow with Event Cameras.

Gokul Raju Govinda Raju, Nikola Zubic, Marco Cannici, Davide Scaramuzza

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

S7: Selective and Simplified State Space Layers for Sequence Modeling.

Taylan Soydan, Nikola Zubic, Nico Messikommer, Siddhartha Mishra, Davide Scaramuzza

CoRR, 2024

State Space Models for Event Cameras.

Nikola Zubic, Mathias Gehrig, Davide Scaramuzza

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

From Chaos Comes Order: Ordering Event Representations for Object Detection.

Nikola Zubic, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza

CoRR, 2023

From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection.

Nikola Zubic, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

An Effective Loss Function for Generating 3D Models from Single 2D Image Without Rendering.

Nikola Zubic, Pietro Liò

Proceedings of the Artificial Intelligence Applications and Innovations, 2021