3 papers
cs.CV2026
EGOSTREAM: A Diagnostic Benchmark for Streaming Episodic Memory in Egocentric Vision
Rosario Forte, Giuseppe Lando, Antonino Furnari
Continuous episodic memory is a core capability for autonomous agents operating in dynamic, real-world environments, yet current streaming video benchmarks provide limited tools fo…
cs.CV2026
Exploring Multimodal LMMs for Online Episodic Memory Question Answering on the Edge
Giuseppe Lando, Rosario Forte, Antonino Furnari
We investigate the feasibility of using Multimodal Large Language Models (MLLMs) for real-time online episodic memory question answering. While cloud offloading is common, it raise…
cs.CV2025
How Far Can Off-the-Shelf Multimodal Large Language Models Go in Online Episodic Memory Question Answering?
Giuseppe Lando, Rosario Forte, Giovanni Maria Farinella +1
We investigate whether off-the-shelf Multimodal Large Language Models (MLLMs) can tackle Online Episodic-Memory Video Question Answering (OEM-VQA) without additional training. Our…