activity
20142026
most citedSocializing the Semantic Gap: A Comparative Survey on Image Tag Assignment, Refinement and Retrieval

122 citations · 483 across the 70 of their papers we have counts for

collaborators
Showing 2020Show all

12 papers · 1 filter

cs.CV2020

Garment Recommendation with Memory Augmented Neural Networks

Lavinia De Divitiis, Federico Becattini, Claudio Baecchi +1

Fashion plays a pivotal role in society. Combining garments appropriately is essential for people to communicate their personality and style. Also different events require outfits…

cs.CV2020

Multiple Future Prediction Leveraging Synthetic Trajectories

Lorenzo Berlincioni, Federico Becattini, Lorenzo Seidenari +1

Trajectory prediction is an important task, especially in autonomous driving. The ability to forecast the position of other moving agents can yield to an effective planning, ensuri…

cs.CV2020

Temporal Binary Representation for Event-Based Action Recognition

Simone Undri Innocenti, Federico Becattini, Federico Pernici +1

In this paper we present an event aggregation strategy to convert the output of an event camera into frames processable by traditional Computer Vision algorithms. The proposed meth…

cs.LG2020★ 33 cited

Class-incremental Learning with Pre-allocated Fixed Classifiers

Federico Pernici, Matteo Bruni, Claudio Baecchi +2

In class-incremental learning, a learning agent faces a stream of data with the goal of learning new classes while not forgetting previous ones. Neural networks are known to suffer…

cs.CV2020

Inner Eye Canthus Localization for Human Body Temperature Screening

Claudio Ferrari, Lorenzo Berlincioni, Marco Bertini +1

In this paper, we propose an automatic approach for localizing the inner eye canthus in thermal face images. We first coarsely detect 5 facial keypoints corresponding to the center…

cs.CV2020

Modelling the Statistics of Cyclic Activities by Trajectory Analysis on the Manifold of Positive-Semi-Definite Matrices

Ettore Maria Celozzi, Luca Ciabini, Luca Cultrera +4

In this paper, a model is presented to extract statistical summaries to characterize the repetition of a cyclic body action, for instance a gym exercise, for the purpose of checkin…