173 citations · 428 across the 18 of their papers we have counts for
21 papers
Job loss disrupts individuals' mobility and their exploratory patterns
Simone Centellegher, Marco De Nadai, Marco Tonin +2
In recent years, human mobility research has discovered universal patterns capable of describing how people move. These regularities have been shown to partly depend on individual…
Smooth image-to-image translations with latent space interpolations
Yahui Liu, Enver Sangineto, Yajing Chen +5
Multi-domain image-to-image (I2I) translations can transform a source image according to the style of a target domain. One important, desired characteristic of these transformation…
Spatial Entropy as an Inductive Bias for Vision Transformers
Elia Peruzzo, Enver Sangineto, Yahui Liu +4
Recent work on Vision Transformers (VTs) showed that introducing a local inductive bias in the VT architecture helps reducing the number of samples necessary for training. However,…
ISF-GAN: An Implicit Style Function for High-Resolution Image-to-Image Translation
Yahui Liu, Yajing Chen, Linchao Bao +3
Recently, there has been an increasing interest in image editing methods that employ pre-trained unconditional image generators (e.g., StyleGAN). However, applying these methods to…
Click to Move: Controlling Video Generation with Sparse Motion
Pierfrancesco Ardino, Marco De Nadai, Bruno Lepri +2
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 sim…
Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation
Yahui Liu, Enver Sangineto, Yajing Chen +6
Image-to-Image (I2I) multi-domain translation models are usually evaluated also using the quality of their semantic interpolation results. However, state-of-the-art models frequent…
Efficient Training of Visual Transformers with Small Datasets
Yahui Liu, Enver Sangineto, Wei Bi +3
Visual Transformers (VTs) are emerging as an architectural paradigm alternative to Convolutional networks (CNNs). Differently from CNNs, VTs can capture global relations between im…
Semantic-Guided Inpainting Network for Complex Urban Scenes Manipulation
Pierfrancesco Ardino, Yahui Liu, Elisa Ricci +2
Manipulating images of complex scenes to reconstruct, insert and/or remove specific object instances is a challenging task. Complex scenes contain multiple semantics and objects, w…
Retrieval Guided Unsupervised Multi-domain Image-to-Image Translation
Raul Gomez, Yahui Liu, Marco De Nadai +3
Image to image translation aims to learn a mapping that transforms an image from one visual domain to another. Recent works assume that images descriptors can be disentangled into…
Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach
Yahui Liu, Marco De Nadai, Deng Cai +4
Manipulating visual attributes of images through human-written text is a very challenging task. On the one hand, models have to learn the manipulation without the ground truth of t…
The agglomeration and dispersion dichotomy of human settlements on Earth
Emanuele Strano, Filippo Simini, Marco De Nadai +2
Human settlements on Earth are scattered in a multitude of shapes, sizes and spatial arrangements. These patterns are often not random but a result of complex geographical, cultura…
Socio-economic, built environment, and mobility conditions associated with crime: A study of multiple cities
Marco De Nadai, Yanyan Xu, Emmanuel Letouzé +2
Nowadays, 23% of the world population lives in multi-million cities. In these metropolises, criminal activity is much higher and violent than in either small cities or rural areas.…
Mobile phone data and COVID-19: Missing an opportunity?
Nuria Oliver, Emmanuel Letouzé, Harald Sterly +21
This paper describes how mobile phone data can guide government and public health authorities in determining the best course of action to control the COVID-19 pandemic and in asses…
GMM-UNIT: Unsupervised Multi-Domain and Multi-Modal Image-to-Image Translation via Attribute Gaussian Mixture Modeling
Yahui Liu, Marco De Nadai, Jian Yao +3
Unsupervised image-to-image translation (UNIT) aims at learning a mapping between several visual domains by using unpaired training images. Recent studies have shown remarkable suc…
Understanding individual behaviour: from virtual to physical patterns
Marco De Nadai, Bruno Lepri, Nuria Oliver
As "Big Data" has become pervasive, an increasing amount of research has connected the dots between human behaviour in the offline and online worlds. Consequently, researchers have…
Gesture-to-Gesture Translation in the Wild via Category-Independent Conditional Maps
Yahui Liu, Marco De Nadai, Gloria Zen +2
Recent works have shown Generative Adversarial Networks (GANs) to be particularly effective in image-to-image translations. However, in tasks such as body pose and hand gesture tra…
Apps, Places and People: strategies, limitations and trade-offs in the physical and digital worlds
Marco De Nadai, Angelo Cardoso, Antonio Lima +2
Cognition has been found to constrain several aspects of human behaviour, such as the number of friends and the number of favourite places a person keeps stable over time. This lim…
The economic value of neighborhoods: Predicting real estate prices from the urban environment
Marco De Nadai, Bruno Lepri
Housing costs have a significant impact on individuals, families, businesses, and governments. Recently, online companies such as Zillow have developed proprietary systems that pro…
Is social capital associated with synchronization in human communication? An analysis of Italian call records and measures of civic engagement
Marco Mamei, Francesca Pancotto, Marco De Nadai +4
Social capital has been studied in economics, sociology and political science as one of the key elements that promote the development of modern societies. It can be defined as the…
Are Safer Looking Neighborhoods More Lively? A Multimodal Investigation into Urban Life
Marco De Nadai, Radu L. Vieriu, Gloria Zen +6
Policy makers, urban planners, architects, sociologists, and economists are interested in creating urban areas that are both lively and safe. But are the safety and liveliness of n…
The Death and Life of Great Italian Cities: A Mobile Phone Data Perspective
Marco De Nadai, Jacopo Staiano, Roberto Larcher +3
The Death and Life of Great American Cities was written in 1961 and is now one of the most influential book in city planning. In it, Jane Jacobs proposed four conditions that promo…