Shoaib Ahmed Dipu

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cs.CV2026

Vmem- $φ$ : Low-Compute Out-of-Distribution Detection in Spiking Neural Networks from Membrane-Potential Statistics

Arul Rana, Agrim Tripathi, Shoaib Ahmed Dipu +3

Spiking Neural Networks (SNNs) offer an energy-efficient approach to processing event-camera data, yet out-of-distribution (OOD) detection remains challenging in this setting. Exis…

cs.CV2026

Stealth Is a Relation, Not a Property: How Event Representations Create Blind Spots for Timing Attacks in Event-Based Perception

Shoaib Ahmed Dipu, Md. Shaown Miah, Kamrul Hasan +1

An event camera produces an asynchronous stream, but what is visible in that stream depends on how a downstream consumer, such as a model or detector, processes time. The same time…

cs.CV2026

RIPE-MambaSpike: Resolution-Independent Spiking-State-Space Interfaces for Parameter-Efficient Event-Based Vision

Md Muhiminul Islam, Shoaib Ahmed Dipu, Sayeed Shafayet Chowdhury

Spiking-Mamba hybrids reach strong accuracy on event-based vision, but existing designs often require tens of millions of parameters. Much of that cost comes from how the spiking f…

Vmem-φ: Low-Compute Out-of-Distribution Detection in Spiking Neural Networks from Membrane-Potential Statistics

Stealth Is a Relation, Not a Property: How Event Representations Create Blind Spots for Timing Attacks in Event-Based Perception

RIPE-MambaSpike: Resolution-Independent Spiking-State-Space Interfaces for Parameter-Efficient Event-Based Vision

Vmem- $φ$ : Low-Compute Out-of-Distribution Detection in Spiking Neural Networks from Membrane-Potential Statistics