321 citations · 674 across the 33 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
Explaining Autonomous Driving by Learning End-to-End Visual Attention
Luca Cultrera, Lorenzo Seidenari, Federico Becattini +2
Current deep learning based autonomous driving approaches yield impressive results also leading to in-production deployment in certain controlled scenarios. One of the most popular…
MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction
Francesco Marchetti, Federico Becattini, Lorenzo Seidenari +1
Autonomous vehicles are expected to drive in complex scenarios with several independent non cooperating agents. Path planning for safely navigating in such environments can not jus…
Visual Question Answering for Cultural Heritage
Pietro Bongini, Federico Becattini, Andrew D. Bagdanov +1
Technology and the fruition of cultural heritage are becoming increasingly more entwined, especially with the advent of smart audio guides, virtual and augmented reality, and inter…