activity
20172024
most citedOn the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning

16 citations · 35 across the 17 of their papers we have counts for

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22 papers · 1 filter

cs.CV2024

Is Multiple Object Tracking a Matter of Specialization?

Gianluca Mancusi, Mattia Bernardi, Aniello Panariello +3

End-to-end transformer-based trackers have achieved remarkable performance on most human-related datasets. However, training these trackers in heterogeneous scenarios poses signifi…

cs.CV20221 cited

Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction

Luigi Filippo Chiara, Pasquale Coscia, Sourav Das +3

Human trajectory forecasting is a key component of autonomous vehicles, social-aware robots and advanced video-surveillance applications. This challenging task typically requires k…

cs.CV20221 cited

How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting

Alessio Monti, Angelo Porrello, Simone Calderara +3

Accurate prediction of future human positions is an essential task for modern video-surveillance systems. Current state-of-the-art models usually rely on a "history" of past tracke…

cs.CV2021

MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?

Matteo Fabbri, Guillem Braso, Gianluca Maugeri +6

Deep learning-based methods for video pedestrian detection and tracking require large volumes of training data to achieve good performance. However, data acquisition in crowded pub…

cs.CV2021

RMS-Net: Regression and Masking for Soccer Event Spotting

Matteo Tomei, Lorenzo Baraldi, Simone Calderara +2

The recently proposed action spotting task consists in finding the exact timestamp in which an event occurs. This task fits particularly well for soccer videos, where events corres…

cs.CV20201 cited

Inter-Homines: Distance-Based Risk Estimation for Human Safety

Matteo Fabbri, Fabio Lanzi, Riccardo Gasparini +3

In this document, we report our proposal for modeling the risk of possible contagiousity in a given area monitored by RGB cameras where people freely move and interact. Our system,…