activity
20162021
most citedDescribe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach

8 citations · 9 across the 6 of their papers we have counts for

collaborators

14 papers

cs.CV2021

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…

cs.CV2021

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…

cs.CV2020

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…

cs.CV2020

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…

cs.CV20208 cited

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…

cs.SI2020

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.…