An Effective Loss Function for Generating 3D Models from Single 2D Image Without Rendering. - Nikola Zubic; Pietro Liò (AIAI, 2021)

From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection. - Nikola Zubic; Daniel Gehrig; Mathias Gehrig; Davide Scaramuzza 001 (ICCV, 2023)

From Chaos Comes Order: Ordering Event Representations for Object Detection. - Nikola Zubic; Daniel Gehrig; Mathias Gehrig; Davide Scaramuzza 001 (CoRR, 2023)

State Space Models for Event Cameras. - Nikola Zubic; Mathias Gehrig; Davide Scaramuzza 001 (CVPR, 2024)

S7: Selective and Simplified State Space Layers for Sequence Modeling. - Taylan Soydan; Nikola Zubic; Nico Messikommer; Siddhartha Mishra; Davide Scaramuzza 001 (CoRR, 2024)

Perturbed State Space Feature Encoders for Optical Flow with Event Cameras. - Gokul Raju Govinda Raju; Nikola Zubic; Marco Cannici; Davide Scaramuzza 001 (CVPR Workshops, 2025)

GG-SSMs: Graph-Generating State Space Models. - Nikola Zubic; Davide Scaramuzza 001 (CVPR, 2025)

Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory. - Nikola Zubic; Federico Soldà; Aurelio L. Sulser; Davide Scaramuzza 001 (ICLR, 2025)

Maximizing Asynchronicity in Event-based Neural Networks. - Haiqing Hao; Nikola Zubic; Weihua He; Zhipeng Sui; Davide Scaramuzza 001; Wenhui Wang (CoRR, 2025)

Regularity and Stability Properties of Selective SSMs with Discontinuous Gating. - Nikola Zubic; Davide Scaramuzza 001 (CoRR, 2025)