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Showing papers from University of Catania Show all papers

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arXivNanyang TechnologicalKorea Advanced Institute of SciePekingFairleigh DickinsonU CataniaMultimodal reasoning

EgoTools: Towards Tool-Centric Reasoning in Real-World Egocentric Videos

EgoTools introduces a dataset and benchmark for egocentric tool-use reasoning, showing current models struggle with visual grounding while training improves performance.

Shulin Tian, Junsu Kim, Shuai Liu, Hao Li and 16 more

Published Sep 30, 2026 · 0 citations · ▲ 67 on Hugging Face · Code ★ 9

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5
45%Niche pick
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NeurIPS 2026U CataniaNortheasternEmbodied agents

RECIPE: Procedural Planning via Grounding in Instructional Video

Luigi Seminara, Antonino Furnari, Lorenzo Torresani

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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medium 0/10
strict 0/5
91%Must read
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NeurIPS 2026NortheasternU CataniaVideo understanding

How You Move Tells What You'll Do: Trajectory-Conditioned Egocentric Prediction

TrajPilot predicts future camera trajectories from egocentric video to condition action prediction, outperforming language-conditioned planners on procedural planning and anticipation.

SeJoon Jun, Hai Nguyen-Truong, Luigi Seminara, Lorenzo Torresani

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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17/20 AI panelreviewers recommend it

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AI panel: 17 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 3/5
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NeurIPS 2026University Of CataniaU CataniaAgent memory

EgoStream: A Diagnostic Benchmark for Streaming Episodic Memory in Egocentric Vision

EgoStream introduces a diagnostic benchmark for streaming egocentric episodic memory with 2,250 questions across seven cognitive dimensions and an Answer Validity Window, finding that current memory mechanisms achieve only around 45% accuracy while operating far below real-time requirements.

Rosario Forte, Giuseppe Lando, Antonino Furnari

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 2/5