activity
20232026
most citedOnline Continual Learning on Intel Loihi 2 via a Co-designed Spiking Neural Network

1 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

eess.IV2026

On-Device Super-Resolution Imaging for a Low-Cost SPAD Array on a 640-KB-SRAM Microcontroller

Zhenya Zang, Istvan Gyongy, Mike Davies

This work presents a super-resolution (SR) deep-learning (DL) architecture to simultaneously upscale low-resolution (LR) depth and intensity images acquired by a consumer-grade VL5…

eess.IV2026

Memory- and Bandwidth-Efficient SPAD-LiDAR Ranging via Coarse-to-Fine Spline Sketching

Zhenya Zang, Zhenya Zangy, Istvan Gyongy +1

This work presents an optimized compression framework for direct time-of-flight (dToF) light detection and ranging (LiDAR), using an accurate, compact timestamp-encoding strategy t…

eess.IV2026

Histogramless Time-Domain Sketched Fluorescence Lifetime Imaging

Zhenya Zang, Istvan Gyongy, Mike Davies

We present a statistics-aware compression strategy that processes photon timestamps directly from time-correlated single-photon counting (TCSPC) modules for time-domain fluorescenc…

cs.LG2025★ 1 cited

Online Continual Learning on Intel Loihi 2 via a Co-designed Spiking Neural Network

Elvin Hajizada, Danielle Rager, Timothy Shea +5

Edge AI must adapt to new classes and shifting data within a tight power budget, but online continual learning (learning from each sample before the next arrives) is where conventi…

cs.NE2023★ 1 cited

Efficient Video and Audio processing with Loihi 2

Sumit Bam Shrestha, Jonathan Timcheck, Paxon Frady +2

Loihi 2 is an asynchronous, brain-inspired research processor that generalizes several fundamental elements of neuromorphic architecture, such as stateful neuron models communicati…