Federico Becattini | DeepAI

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∙ 08/24/2023

Robot Pose Nowcasting: Forecast the Future to Improve the Present

In recent years, the effective and safe collaboration between humans and...

0 Alessandro Simoni, et al. ∙

∙ 08/14/2023

Diffusion Based Augmentation for Captioning and Retrieval in Cultural Heritage

Cultural heritage applications and advanced machine learning models are ...

0 Dario Cioni, et al. ∙

∙ 07/26/2023

ECO: Ensembling Context Optimization for Vision-Language Models

Image recognition has recently witnessed a paradigm shift, where vision-...

0 Lorenzo Agnolucci, et al. ∙

∙ 04/17/2023

Transformer-based Graph Neural Networks for Outfit Generation

Suggesting complementary clothing items to compose an outfit is a proces...

0 Federico Becattini, et al. ∙

∙ 04/13/2023

Neuromorphic Event-based Facial Expression Recognition

Recently, event cameras have shown large applicability in several comput...

0 Lorenzo Berlincioni, et al. ∙

∙ 11/15/2022

Forecasting Future Instance Segmentation with Learned Optical Flow and Warping

For an autonomous vehicle it is essential to observe the ongoing dynamic...

0 Andrea Ciamarra, et al. ∙

∙ 08/01/2022

Fashion Recommendation Based on Style and Social Events

Fashion recommendation is often declined as the task of finding compleme...

10 Federico Becattini, et al. ∙

∙ 07/25/2022

Is GPT-3 all you need for Visual Question Answering in Cultural Heritage?

The use of Deep Learning and Computer Vision in the Cultural Heritage do...

0 Pietro Bongini, et al. ∙

∙ 06/07/2022

Online Deep Clustering with Video Track Consistency

Several unsupervised and self-supervised approaches have been developed ...

0 Alessandra Alfani, et al. ∙

∙ 03/23/2022

SMEMO: Social Memory for Trajectory Forecasting

Effective modeling of human interactions is of utmost importance when fo...

0 Francesco Marchetti, et al. ∙

∙ 12/11/2020

Garment Recommendation with Memory Augmented Neural Networks

Fashion plays a pivotal role in society. Combining garments appropriatel...

0 Lavinia De Divitiis, et al. ∙

∙ 10/18/2020

Multiple Future Prediction Leveraging Synthetic Trajectories

Trajectory prediction is an important task, especially in autonomous dri...

0 Lorenzo Berlincioni, et al. ∙

∙ 10/18/2020

Temporal Binary Representation for Event-Based Action Recognition

In this paper we present an event aggregation strategy to convert the ou...

4 Simone Undri Innocenti, et al. ∙

∙ 06/05/2020

Explaining Autonomous Driving by Learning End-to-End Visual Attention

Current deep learning based autonomous driving approaches yield impressi...

60 Luca Cultrera, et al. ∙

∙ 06/05/2020

MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction

Autonomous vehicles are expected to drive in complex scenarios with seve...

6 Francesco Marchetti, et al. ∙

∙ 03/22/2020

Visual Question Answering for Cultural Heritage

Technology and the fruition of cultural heritage are becoming increasing...

7 Pietro Bongini, et al. ∙

∙ 05/29/2018

Semantic Road Layout Understanding by Generative Adversarial Inpainting

Autonomous driving is becoming a reality, yet vehicles still need to rel...

0 Federico Becattini, et al. ∙

∙ 05/04/2017

Am I Done? Predicting Action Progress in Videos

In this paper we introduce the problem of predicting action progress in ...

0 Federico Becattini, et al. ∙

∙ 09/01/2016

Segmentation Free Object Discovery in Video

In this paper we present a simple yet effective approach to extend witho...

0 Giovanni Cuffaro, et al. ∙

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