406 citations · 668 across the 15 of their papers we have counts for
17 papers
Long Time No See: Benchmarking VLMs for Out-of-Sight Spatiotemporal Reasoning in Egocentric Videos
Fangzhou Ma, Ivo Alexander Ban, Eren Homburg +5
Real-world AI systems must reason about objects that are no longer visible: an AR assistant guiding a user back to an object used earlier, a household robot retrieving an item some…
DAPEVO: Deep Adaptive Patch Frame-Event Visual Odometry
Luca Gandolfi, Simone Nascivera, Roberto Pellerito +3
Visual odometry is essential for autonomous navigation in GPS-denied environments, yet RGB-based methods remain vulnerable to motion blur, challenging illumination, and dropped fra…
Graph it first! Enabling Reasoning on Long-form Egocentric Videos through Scene Graphs
Agnese Taluzzi, Riccardo Santambrogio, Simone Mentasti +2
Existing multi-modal large language models (MLLMs) face significant challenges in processing long video sequences due to strict input token limitations. As a result, current video…
Domain Generalization using Action Sequences for Egocentric Action Recognition
Amirshayan Nasirimajd, Chiara Plizzari, Simone Alberto Peirone +3
Recognizing human activities from visual inputs, particularly through a first-person viewpoint, is essential for enabling robots to replicate human behavior. Egocentric vision, cha…
From Pixels to Graphs: using Scene and Knowledge Graphs for HD-EPIC VQA Challenge
Agnese Taluzzi, Davide Gesualdi, Riccardo Santambrogio +4
This report presents SceneNet and KnowledgeNet, our approaches developed for the HD-EPIC VQA Challenge 2025. SceneNet leverages scene graphs generated with a multi-modal large lang…
Omnia de EgoTempo: Benchmarking Temporal Understanding of Multi-Modal LLMs in Egocentric Videos
Chiara Plizzari, Alessio Tonioni, Yongqin Xian +2
Understanding fine-grained temporal dynamics is crucial in egocentric videos, where continuous streams capture frequent, close-up interactions with objects. In this work, we bring…
Spatial Cognition from Egocentric Video: Out of Sight, Not Out of Mind
Chiara Plizzari, Shubham Goel, Toby Perrett +3
As humans move around, performing their daily tasks, they are able to recall where they have positioned objects in their environment, even if these objects are currently out of the…
An Outlook into the Future of Egocentric Vision
Chiara Plizzari, Gabriele Goletto, Antonino Furnari +5
What will the future be? We wonder! In this survey, we explore the gap between current research in egocentric vision and the ever-anticipated future, where wearable computing, with…
EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge: Mixed Sequences Prediction
Amirshayan Nasirimajd, Simone Alberto Peirone, Chiara Plizzari +1
This report presents the technical details of our approach for the EPIC-Kitchens-100 Unsupervised Domain Adaptation (UDA) Challenge in Action Recognition. Our approach is based on…
What can a cook in Italy teach a mechanic in India? Action Recognition Generalisation Over Scenarios and Locations
Chiara Plizzari, Toby Perrett, Barbara Caputo +1
We propose and address a new generalisation problem: can a model trained for action recognition successfully classify actions when they are performed within a previously unseen sce…
E(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition
Chiara Plizzari, Mirco Planamente, Gabriele Goletto +4
Event cameras are novel bio-inspired sensors, which asynchronously capture pixel-level intensity changes in the form of "events". Due to their sensing mechanism, event cameras have…
Domain Generalization through Audio-Visual Relative Norm Alignment in First Person Action Recognition
Mirco Planamente, Chiara Plizzari, Emanuele Alberti +1
First person action recognition is becoming an increasingly researched area thanks to the rising popularity of wearable cameras. This is bringing to light cross-domain issues that…
PoliTO-IIT Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition
Chiara Plizzari, Mirco Planamente, Emanuele Alberti +1
In this report, we describe the technical details of our submission to the EPIC-Kitchens-100 Unsupervised Domain Adaptation (UDA) Challenge in Action Recognition. To tackle the dom…
Cross-Domain First Person Audio-Visual Action Recognition through Relative Norm Alignment
Mirco Planamente, Chiara Plizzari, Emanuele Alberti +1
First person action recognition is an increasingly researched topic because of the growing popularity of wearable cameras. This is bringing to light cross-domain issues that are ye…
DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using Domain Adaptation
Mirco Planamente, Chiara Plizzari, Marco Cannici +5
Event cameras are novel bio-inspired sensors, which asynchronously capture pixel-level intensity changes in the form of "events". The innovative way they acquire data presents seve…
Spatial Temporal Transformer Network for Skeleton-based Action Recognition
Chiara Plizzari, Marco Cannici, Matteo Matteucci
Skeleton-based human action recognition has achieved a great interest in recent years, as skeleton data has been demonstrated to be robust to illumination changes, body scales, dyn…
Skeleton-based Action Recognition via Spatial and Temporal Transformer Networks
Chiara Plizzari, Marco Cannici, Matteo Matteucci
Skeleton-based Human Activity Recognition has achieved great interest in recent years as skeleton data has demonstrated being robust to illumination changes, body scales, dynamic c…