23 citations · 32 across the 6 of their papers we have counts for
7 papers
Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation
Matteo Fabbri, Fabio Lanzi, Simone Calderara +2
In this paper we present a novel approach for bottom-up multi-person 3D human pose estimation from monocular RGB images. We propose to use high resolution volumetric heatmaps to mo…
RandomNet: Towards Fully Automatic Neural Architecture Design for Multimodal Learning
Stefano Alletto, Shenyang Huang, Vincent Francois-Lavet +2
Almost all neural architecture search methods are evaluated in terms of performance (i.e. test accuracy) of the model structures that it finds. Should it be the only metric for a g…
Can Adversarial Networks Hallucinate Occluded People With a Plausible Aspect?
Federico Fulgeri, Matteo Fabbri, Stefano Alletto +2
When you see a person in a crowd, occluded by other persons, you miss visual information that can be used to recognize, re-identify or simply classify him or her. You can imagine i…
TransFlow: Unsupervised Motion Flow by Joint Geometric and Pixel-level Estimation
Stefano Alletto, Davide Abati, Simone Calderara +2
We address unsupervised optical flow estimation for ego-centric motion. We argue that optical flow can be cast as a geometrical warping between two successive video frames and devi…
Learning Where to Attend Like a Human Driver
Andrea Palazzi, Francesco Solera, Simone Calderara +2
Despite the advent of autonomous cars, it's likely - at least in the near future - that human attention will still maintain a central role as a guarantee in terms of legal responsi…
Similarity Mapping with Enhanced Siamese Network for Multi-Object Tracking
Minyoung Kim, Stefano Alletto, Luca Rigazio
Multi-object tracking has recently become an important area of computer vision, especially for Advanced Driver Assistance Systems (ADAS). Despite growing attention, achieving high…
Video Registration in Egocentric Vision under Day and Night Illumination Changes
Stefano Alletto, Giuseppe Serra, Rita Cucchiara
With the spread of wearable devices and head mounted cameras, a wide range of application requiring precise user localization is now possible. In this paper we propose to treat the…