no code implementations • 28 May 2023 • Weizhi Nie, Chuanqi Jiao, Ruidong Chen, Weijie Wang, Bruno Lepri, Nicu Sebe, AnAn Liu
To retrieve similar shapes from the partial input, we also apply a contrastive learning-based pre-training scheme to transfer features of incomplete shapes into the domain of complete shape features.
no code implementations • 25 May 2023 • Weizhi Nie, Ruidong Chen, Weijie Wang, Bruno Lepri, Nicu Sebe
Meanwhile, to effectively integrate multi-modal prior knowledge into textual information, we adopt a novel multi-layer transformer structure to progressively fuse related shape and textual information, which can effectively compensate for the lack of structural information in the text and enhance the final performance of the 3D generation model.
no code implementations • 2 Feb 2023 • Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Lio, Franco Scarselli, Andrea Passerini
Graph Neural Networks (GNNs) have become the leading paradigm for learning on (static) graph-structured data.
2 code implementations • 27 Oct 2022 • Antonio Longa, Steve Azzolin, Gabriele Santin, Giulia Cencetti, Pietro Liò, Bruno Lepri, Andrea Passerini
Following a fast initial breakthrough in graph based learning, Graph Neural Networks (GNNs) have reached a widespread application in many science and engineering fields, prompting the need for methods to understand their decision process.
1 code implementation • 3 Oct 2022 • Yahui Liu, Enver Sangineto, Yajing Chen, Linchao Bao, Haoxian Zhang, Nicu Sebe, Bruno Lepri, Marco De Nadai
Multi-domain image-to-image (I2I) translations can transform a source image according to the style of a target domain.
no code implementations • 1 Oct 2022 • Aditya Gulati, Miguel Angel Lozano, Bruno Lepri, Nuria Oliver
Human perception, memory and decision-making are impacted by tens of cognitive biases and heuristics that influence our actions and decisions.
no code implementations • 30 Sep 2022 • Weijie Wang, Nicu Sebe, Bruno Lepri
Due to the subjective crowdsourcing annotations and the inherent inter-class similarity of facial expressions, the real-world Facial Expression Recognition (FER) datasets usually exhibit ambiguous annotation.
1 code implementation • 9 Jun 2022 • Elia Peruzzo, Enver Sangineto, Yahui Liu, Marco De Nadai, Wei Bi, Bruno Lepri, Nicu Sebe
In this work, we propose a different and complementary direction, in which a local bias is introduced using an auxiliary self-supervised task, performed jointly with standard supervised training.
no code implementations • 27 May 2022 • Giovanni De Toni, Paolo Viappiani, Stefano Teso, Bruno Lepri, Andrea Passerini
It is paramount that the sequence of actions does not require too much effort for users to implement.
no code implementations • 15 Mar 2022 • Gabriele Santin, Inna Skarbovsky, Fabiana Fournier, Bruno Lepri
Federated Leaning is an emerging approach to manage cooperation between a group of agents for the solution of Machine Learning tasks, with the goal of improving each agent's performance without disclosing any data.
no code implementations • 11 Mar 2022 • Beatrice Nobile, Gabriele Santin, Bruno Lepri, Pierpaolo Brutti
Fairness-aware GANs (FairGANs) exploit the mechanisms of Generative Adversarial Networks (GANs) to impose fairness on the generated data, freeing them from both disparate impact and disparate treatment.
1 code implementation • 7 Mar 2022 • Massimiliano Luca, Luca Pappalardo, Bruno Lepri, Gianni Barlacchi
Next-location prediction, consisting of forecasting a user's location given their historical trajectories, has important implications in several fields, such as urban planning, geo-marketing, and disease spreading.
1 code implementation • 22 Feb 2022 • Giovanni Mauro, Massimiliano Luca, Antonio Longa, Bruno Lepri, Luca Pappalardo
We conduct extensive experiments on public datasets of bike and taxi rides to show that MoGAN outperforms the classical Gravity and Radiation models regarding the realism of the generated networks.
1 code implementation • 18 Jan 2022 • Giovanni De Toni, Bruno Lepri, Andrea Passerini
Being able to provide counterfactual interventions - sequences of actions we would have had to take for a desirable outcome to happen - is essential to explain how to change an unfavourable decision by a black-box machine learning model (e. g., being denied a loan request).
1 code implementation • 26 Sep 2021 • Yahui Liu, Yajing Chen, Linchao Bao, Nicu Sebe, Bruno Lepri, Marco De Nadai
The ISF manipulates the semantics of an input latent code to make the image generated from it lying in the desired visual domain.
1 code implementation • ICCV 2021 • Pierfrancesco Ardino, Marco De Nadai, Bruno Lepri, Elisa Ricci, Stéphane Lathuilière
This paper introduces Click to Move (C2M), a novel framework for video generation where the user can control the motion of the synthesized video through mouse clicks specifying simple object trajectories of the key objects in the scene.
no code implementations • CVPR 2021 • Yahui Liu, Enver Sangineto, Yajing Chen, Linchao Bao, Haoxian Zhang, Nicu Sebe, Bruno Lepri, Wei Wang, Marco De Nadai
In this paper, we propose a new training protocol based on three specific losses which help a translation network to learn a smooth and disentangled latent style space in which: 1) Both intra- and inter-domain interpolations correspond to gradual changes in the generated images and 2) The content of the source image is better preserved during the translation.
1 code implementation • NeurIPS 2021 • Yahui Liu, Enver Sangineto, Wei Bi, Nicu Sebe, Bruno Lepri, Marco De Nadai
This task encourages the VTs to learn spatial relations within an image and makes the VT training much more robust when training data are scarce.
no code implementations • 27 Jan 2021 • Elena Beretta, Antonio Vetrò, Bruno Lepri, Juan Carlos De Martin
For this reason, we propose a method of data annotation based on Bayesian statistical inference that aims to warn about the risk of discriminatory results of a given data set.
1 code implementation • 4 Dec 2020 • Massimiliano Luca, Gianni Barlacchi, Bruno Lepri, Luca Pappalardo
The study of human mobility is crucial due to its impact on several aspects of our society, such as disease spreading, urban planning, well-being, pollution, and more.
1 code implementation • 19 Oct 2020 • Pierfrancesco Ardino, Yahui Liu, Elisa Ricci, Bruno Lepri, Marco De Nadai
Inspired by recent works on image inpainting, our proposed method leverages the semantic segmentation to model the content and structure of the image, and learn the best shape and location of the object to insert.
1 code implementation • 11 Aug 2020 • Raul Gomez, Yahui Liu, Marco De Nadai, Dimosthenis Karatzas, Bruno Lepri, Nicu Sebe
In this paper we propose the use of an image retrieval system to assist the image-to-image translation task.
1 code implementation • 10 Aug 2020 • Yahui Liu, Marco De Nadai, Deng Cai, Huayang Li, Xavier Alameda-Pineda, Nicu Sebe, Bruno Lepri
Our proposed model disentangles the image content from the visual attributes, and it learns to modify the latter using the textual description, before generating a new image from the content and the modified attribute representation.
1 code implementation • 24 Apr 2020 • Gevorg Yeghikyan, Felix L. Opolka, Mirco Nanni, Bruno Lepri, Pietro Lio'
A fundamental problem of interest to policy makers, urban planners, and other stakeholders involved in urban development projects is assessing the impact of planning and construction activities on mobility flows.
Social and Information Networks Physics and Society
1 code implementation • 15 Apr 2020 • Lorenzo Lucchini, Laura Alessandretti, Bruno Lepri, Angela Gallo, Andrea Baronchelli
"Code is law" is the funding principle of cryptocurrencies.
1 code implementation • 15 Mar 2020 • Yahui Liu, Marco De Nadai, Jian Yao, Nicu Sebe, Bruno Lepri, Xavier Alameda-Pineda
Unsupervised image-to-image translation (UNIT) aims at learning a mapping between several visual domains by using unpaired training images.
1 code implementation • 12 Jul 2019 • Yahui Liu, Marco De Nadai, Gloria Zen, Nicu Sebe, Bruno Lepri
In this work, we propose a novel GAN architecture that decouples the required annotations into a category label - that specifies the gesture type - and a simple-to-draw category-independent conditional map - that expresses the location, rotation and size of the hand gesture.
no code implementations • 7 May 2019 • Wen Dong, Tong Guan, Bruno Lepri, Chunming Qiao
Mobile phones provide a powerful sensing platform that researchers may adopt to understand proximity interactions among people and the diffusion, through these interactions, of diseases, behaviors, and opinions.
no code implementations • 22 Mar 2019 • Elena Beretta, Antonio Santangelo, Bruno Lepri, Antonio Vetrò, Juan Carlos De Martin
In this paper, we provide an overview of the most widespread definitions of fairness in the field of machine learning, arguing that the ideas highlighting each formalization are closely related to different ideas of justice and to different interpretations of democracy embedded in our culture.
BIG-bench Machine Learning Cultural Vocal Bursts Intensity Prediction +1
1 code implementation • 7 Aug 2018 • Marco De Nadai, Bruno Lepri
In this paper, we use multiple sources of data to entangle the economic contribution of the neighborhood's characteristics such as walkability and security perception.
Computers and Society
no code implementations • 21 Jul 2018 • Alberto Rossi, Gianni Barlacchi, Monica Bianchini, Bruno Lepri
In this paper, we study how to model taxi drivers' behaviour and geographical information for an interesting and challenging task: the next destination prediction in a taxi journey.
no code implementations • 16 Apr 2018 • Antonio L. Alfeo, Mario G. C. A. Cimino, Sara Egidi, Bruno Lepri, Gigliola Vaglini
This measure can be used by policy makers to evaluate the effect of policies and change them dynamically.
no code implementations • 3 Aug 2017 • Cristina Segalin, Fabio Celli, Luca Polonio, Michal Kosinski, David Stillwell, Nicu Sebe, Marco Cristani, Bruno Lepri
We analyze the effectiveness of four families of visual features and we discuss some human interpretable patterns that explain the personality traits of the individuals.
no code implementations • 12 Apr 2017 • Antonio L. Alfeo, Mario G. C. A. Cimino, Sara Egidi, Bruno Lepri, Alex Pentland, Gigliola Vaglini
However, discovering urban activity patterns from the emergent behavior of crowds involves complex system modeling.
no code implementations • EACL 2017 • Stefano Menini, Rachele Sprugnoli, Giovanni Moretti, Enrico Bignotti, Sara Tonelli, Bruno Lepri
We present RAMBLE ON, an application integrating a pipeline for frame-based information extraction and an interface to track and display movement trajectories.
1 code implementation • 1 Aug 2016 • Marco De Nadai, Radu L. Vieriu, Gloria Zen, Stefan Dragicevic, Nikhil Naik, Michele Caraviello, Cesar A. Hidalgo, Nicu Sebe, Bruno Lepri
But in a world where the preference for safe looking neighborhoods is small, the connection between the perception of safety and liveliness will be either weak or nonexistent.
Computers and Society Social and Information Networks Physics and Society
1 code implementation • 13 Mar 2016 • Marco De Nadai, Jacopo Staiano, Roberto Larcher, Nicu Sebe, Daniele Quercia, Bruno Lepri
This is mainly because it is hard to collect data about "city life".
Computers and Society Social and Information Networks Physics and Society
no code implementations • 23 Jun 2015 • Xavier Alameda-Pineda, Jacopo Staiano, Ramanathan Subramanian, Ligia Batrinca, Elisa Ricci, Bruno Lepri, Oswald Lanz, Nicu Sebe
Studying free-standing conversational groups (FCGs) in unstructured social settings (e. g., cocktail party ) is gratifying due to the wealth of information available at the group (mining social networks) and individual (recognizing native behavioral and personality traits) levels.
no code implementations • 21 Oct 2014 • Andrey Bogomolov, Bruno Lepri, Fabio Pianesi
We present a new similarity measure based on information theoretic measures which is superior than Normalized Compression Distance for clustering problems and inherits the useful properties of conditional Kolmogorov complexity.
no code implementations • 21 Oct 2014 • Andrey Bogomolov, Bruno Lepri, Michela Ferron, Fabio Pianesi, Alex, Pentland
Research has proven that stress reduces quality of life and causes many diseases.