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Author

N. Cuperlier

2 papers indexed here

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Preprint Sep 2026

Bend the Clock: Predicting Ahead to Beat Latency in Event-Based Object Detection

ChronoFuse is introduced, a causal availability-time detector that predicts object states for when its output becomes available rather than for when its input was observed, showing that predicting ahead can be critical for robots operating in fast-changing scenes.

Biswadeep Sen, B. Cottereau, N. Cuperlier et al. · 0 citations
#artificial intelligence Preprint Sep 2026

REACT: A Fully Spiking State-Space Model for Real-Time Event-Driven Temporal Perception

REACT is proposed, a fully spiking state-space model for event-driven temporal perception that processes raw events one by one, without temporal accumulation, and shows that event-driven spiking state-space dynamics can provide low-latency, continuously updated temporal perception for reactive robotic systems.

Geoffroy Keime, N. Cuperlier, B. Cottereau · 0 citations

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