Search Results for author: Federico Becattini

Found 25 papers, 6 papers with code

Neuromorphic Event-based Facial Expression Recognition

1 code implementation13 Apr 2023 Lorenzo Berlincioni, Luca Cultrera, Chiara Albisani, Lisa Cresti, Andrea Leonardo, Sara Picchioni, Federico Becattini, Alberto del Bimbo

Recently, event cameras have shown large applicability in several computer vision fields especially concerning tasks that require high temporal resolution.

Emotion Recognition Facial Expression Recognition +1

Temporal Binary Representation for Event-Based Action Recognition

1 code implementation18 Oct 2020 Simone Undri Innocenti, Federico Becattini, Federico Pernici, Alberto del Bimbo

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.

Ranked #3 on Gesture Recognition on DVS128 Gesture (using extra training data)

Action Recognition Gesture Recognition

Diffusion Based Augmentation for Captioning and Retrieval in Cultural Heritage

1 code implementation14 Aug 2023 Dario Cioni, Lorenzo Berlincioni, Federico Becattini, Alberto del Bimbo

Cultural heritage applications and advanced machine learning models are creating a fruitful synergy to provide effective and accessible ways of interacting with artworks.

Image Captioning Retrieval

Fashion Recommendation Based on Style and Social Events

1 code implementation1 Aug 2022 Federico Becattini, Lavinia De Divitiis, Claudio Baecchi, Alberto del Bimbo

Overall, we integrate in a state of the art garment recommendation framework a style classifier and an event classifier in order to condition recommendation on a given query.

Semantic Road Layout Understanding by Generative Adversarial Inpainting

no code implementations29 May 2018 Lorenzo Berlincioni, Federico Becattini, Leonardo Galteri, Lorenzo Seidenari, Alberto del Bimbo

Autonomous driving is becoming a reality, yet vehicles still need to rely on complex sensor fusion to understand the scene they act in.

Autonomous Driving Segmentation +2

Segmentation Free Object Discovery in Video

no code implementations1 Sep 2016 Giovanni Cuffaro, Federico Becattini, Claudio Baecchi, Lorenzo Seidenari, Alberto del Bimbo

In this paper we present a simple yet effective approach to extend without supervision any object proposal from static images to videos.

Object Object Discovery +1

Visual Question Answering for Cultural Heritage

no code implementations22 Mar 2020 Pietro Bongini, Federico Becattini, Andrew D. Bagdanov, Alberto del Bimbo

This will turn the classic audio guide into a smart personal instructor with which the visitor can interact by asking for explanations focused on specific interests.

Question Answering Visual Question Answering

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

no code implementations5 Jun 2020 Luca Cultrera, Lorenzo Seidenari, Federico Becattini, Pietro Pala, Alberto del Bimbo

Current deep learning based autonomous driving approaches yield impressive results also leading to in-production deployment in certain controlled scenarios.

Autonomous Driving Imitation Learning

Garment Recommendation with Memory Augmented Neural Networks

no code implementations11 Dec 2020 Lavinia De Divitiis, Federico Becattini, Claudio Baecchi, Alberto del Bimbo

In particular, we aim at retrieving a variety of modalities in which a certain garment can be combined.

Recommendation Systems

SMEMO: Social Memory for Trajectory Forecasting

no code implementations23 Mar 2022 Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto del Bimbo

Effective modeling of human interactions is of utmost importance when forecasting behaviors such as future trajectories.

Collision Avoidance Trajectory Forecasting

Online Deep Clustering with Video Track Consistency

no code implementations7 Jun 2022 Alessandra Alfani, Federico Becattini, Lorenzo Seidenari, Alberto del Bimbo

Several unsupervised and self-supervised approaches have been developed in recent years to learn visual features from large-scale unlabeled datasets.

Clustering Deep Clustering +1

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

no code implementations25 Jul 2022 Pietro Bongini, Federico Becattini, Alberto del Bimbo

The use of Deep Learning and Computer Vision in the Cultural Heritage domain is becoming highly relevant in the last few years with lots of applications about audio smart guides, interactive museums and augmented reality.

Question Answering Visual Question Answering

Forecasting Future Instance Segmentation with Learned Optical Flow and Warping

no code implementations15 Nov 2022 Andrea Ciamarra, Federico Becattini, Lorenzo Seidenari, Alberto del Bimbo

For an autonomous vehicle it is essential to observe the ongoing dynamics of a scene and consequently predict imminent future scenarios to ensure safety to itself and others.

Instance Segmentation Optical Flow Estimation +1

Transformer-based Graph Neural Networks for Outfit Generation

no code implementations17 Apr 2023 Federico Becattini, Federico Maria Teotini, Alberto del Bimbo

We attempt to bridge the gap between outfit recommendation and generation by leveraging a graph-based representation of items in a collection.

ECO: Ensembling Context Optimization for Vision-Language Models

no code implementations26 Jul 2023 Lorenzo Agnolucci, Alberto Baldrati, Francesco Todino, Federico Becattini, Marco Bertini, Alberto del Bimbo

Among these, the CLIP model has shown remarkable capabilities for zero-shot transfer by matching an image and a custom textual prompt in its latent space.

Classification Image Classification

3D Pose Nowcasting: Forecast the Future to Improve the Present

no code implementations24 Aug 2023 Alessandro Simoni, Francesco Marchetti, Guido Borghi, Federico Becattini, Lorenzo Seidenari, Roberto Vezzani, Alberto del Bimbo

Technologies to enable safe and effective collaboration and coexistence between humans and robots have gained significant importance in the last few years.

Pose Estimation

Addressing Limitations of State-Aware Imitation Learning for Autonomous Driving

no code implementations31 Oct 2023 Luca Cultrera, Federico Becattini, Lorenzo Seidenari, Pietro Pala, Alberto del Bimbo

We feed the state of the vehicle along with the representation of the environment as a special token of the transformer and propagate it throughout the network.

Autonomous Driving Data Augmentation +2

Deepfake detection by exploiting surface anomalies: the SurFake approach

no code implementations31 Oct 2023 Andrea Ciamarra, Roberto Caldelli, Federico Becattini, Lorenzo Seidenari, Alberto del Bimbo

In particular, when an image (video) is captured the overall geometry of the scene (e. g. surfaces) and the acquisition process (e. g. illumination) determine a univocal environment that is directly represented by the image pixel values; all these intrinsic relations are possibly changed by the deepfake generation process.

DeepFake Detection Face Swapping

Neuromorphic Face Analysis: a Survey

no code implementations18 Feb 2024 Federico Becattini, Lorenzo Berlincioni, Luca Cultrera, Alberto del Bimbo

Neuromorphic sensors, also known as event cameras, are a class of imaging devices mimicking the function of biological visual systems.

Privacy Preserving

Interactive Garment Recommendation with User in the Loop

no code implementations18 Feb 2024 Federico Becattini, Xiaolin Chen, Andrea Puccia, Haokun Wen, Xuemeng Song, Liqiang Nie, Alberto del Bimbo

Recommending fashion items often leverages rich user profiles and makes targeted suggestions based on past history and previous purchases.

reinforcement-learning

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