activity
20242026
most citedOnline Continual Learning on Intel Loihi 2 via a Co-designed Spiking Neural Network

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Efficient Semantic Understanding from Digital Foveation

Caterina Caccavella, Vittorio Fra, Andreas Ziegler +2

Dense semantic segmentation allocates computational resources uniformly across the entire image, regardless of scene complexity or task relevance. Inspired by biological vision, we…

cs.CV2026

A Multimodal RGB and Events Dataset for Hand Detection in First-Person View

Bharghav Kota, Yulia Sandamirskaya

Existing hand detection algorithms work on images and the detection rate is restricted by the frame rate of the camera. In hand detection applications for moving robotic systems, c…

cs.LG2026

CLANE: Continual Learning of Actions on Neuromorphic Hardware from Event Cameras

Elvin Hajizada, Michael Neumeier, Edward Paxon Frady +4

Recognizing and continuously learning novel human actions without forgetting prior classes is a requirement for emerging AR/VR and robotics applications. For these applications, bo…

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.LG2024

Continual Learning for Autonomous Robots: A Prototype-based Approach

Elvin Hajizada, Balachandran Swaminathan, Yulia Sandamirskaya

Humans and animals learn throughout their lives from limited amounts of sensed data, both with and without supervision. Autonomous, intelligent robots of the future are often expec…