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Institution

Istituto Italiano di Tecnologia

FacilityGenoa, Italy
About: Istituto Italiano di Tecnologia is a facility organization based out in Genoa, Italy. It is known for research contribution in the topics: Robot & Humanoid robot. The organization has 4561 authors who have published 14595 publications receiving 437558 citations. The organization is also known as: Italian Institute of Technology & IIT.
Topics: Robot, Humanoid robot, Graphene, iCub, Nanoparticle


Papers
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Proceedings ArticleDOI
07 Jun 2015
TL;DR: This paper proposes a novel approach to correlation filter estimation that takes advantage of inherent computational redundancies in the frequency domain, dramatically reduces boundary effects, and is able to implicitly exploit all possible patches densely extracted from training examples during learning process.
Abstract: Correlation filters take advantage of specific properties in the Fourier domain allowing them to be estimated efficiently: O(N D log D) in the frequency domain, versus O(D3 + N D2) spatially where D is signal length, and N is the number of signals. Recent extensions to correlation filters, such as MOSSE, have reignited interest of their use in the vision community due to their robustness and attractive computational properties. In this paper we demonstrate, however, that this computational efficiency comes at a cost. Specifically, we demonstrate that only 1/D proportion of shifted examples are unaffected by boundary effects which has a dramatic effect on detection/tracking performance. In this paper, we propose a novel approach to correlation filter estimation that: (i) takes advantage of inherent computational redundancies in the frequency domain, (ii) dramatically reduces boundary effects, and (iii) is able to implicitly exploit all possible patches densely extracted from training examples during learning process. Impressive object tracking and detection results are presented in terms of both accuracy and computational efficiency.

373 citations

Journal ArticleDOI
TL;DR: In this review, an in-depth analysis of the most innovative advances in basic and applied cancer research is provided.
Abstract: Every year, cancer is responsible for millions of deaths worldwide and, even though much progress has been achieved in medicine, there are still many issues that must be addressed in order to improve cancer therapy. For this reason, oncological research is putting a lot of effort towards finding new and efficient therapies which can alleviate critical side effects caused by conventional treatments. Different technologies are currently under evaluation in clinical trials or have been already introduced into clinical practice. While nanomedicine is contributing to the development of biocompatible materials both for diagnostic and therapeutic purposes, bioengineering of extracellular vesicles and cells derived from patients has allowed designing ad hoc systems and univocal targeting strategies. In this review, we will provide an in-depth analysis of the most innovative advances in basic and applied cancer research.

372 citations

Journal ArticleDOI
TL;DR: In this paper, a model based on an L18 orthogonal array of Taguchi design was created to perform experimental planning and the upper surfaces of the samples were analyzed before and after shot peening.
Abstract: Direct metal laser sintering (DMLS) is an additive manufacturing technique for the fabrication of near net-shaped parts directly from computer-aided design data by melting together different layers with the help of a laser source. This paper presents an investigation of the surface roughness of aluminum samples produced by DMLS. A model based on an L18 orthogonal array of Taguchi design was created to perform experimental planning. Some input parameters, namely laser power, scan speed, and hatching distance were selected for the investigation. The upper surfaces of the samples were analyzed before and after shot peening. The morphology was analyzed by means of field emission scanning electron microscope. Scan speed was found to have the greatest influence on the surface roughness. Further, shot peening can effectively reduce the surface roughness.

369 citations

Journal ArticleDOI
TL;DR: 3D super-resolution imaging of cellular spheroids is demonstrated by coupling far-field individual molecule localization with selective plane illumination microscopy (SPIM), which allows nanometric localization of single molecules in thick scattering specimens without activating or exciting molecules outside the focal plane.
Abstract: We demonstrate three-dimensional (3D) super-resolution live-cell imaging through thick specimens (50-150 μm), by coupling far-field individual molecule localization with selective plane illumination microscopy (SPIM). The improved signal-to-noise ratio of selective plane illumination allows nanometric localization of single molecules in thick scattering specimens without activating or exciting molecules outside the focal plane. We report 3D super-resolution imaging of cellular spheroids.

368 citations

Journal ArticleDOI
TL;DR: A soft tactile sensor able to detect both normal and tangential forces is fabricated with a simple method using conductive textile, representing an original approach in the emulation of natural touch.
Abstract: using liquid capacitors to address deformability. Here we show the fast and easy fabrication of a fully fl exible capacitive three-axial force sensor made with conductive fabric electrodes and an elastomeric material. This unique sensor presented a high com-pliance, robustness and stability under manipulation and very appealing performances in terms of sensitivity (less than 10 mg and 8 µm, minimal detectable weight and displacement, respec-tively) and detection range (measured up to 190 kPa, and esti-mated up to 400 kPa) against the existing state-of-the-art sensors. This work intersects with the recent and exciting direction taken by the research fi eld towards smart, integrated, and fl exible elec-tronic devices using an ancestral composite material: textile.

364 citations


Authors

Showing all 4601 results

NameH-indexPapersCitations
Marc G. Caron17367499802
Paolo Vineis134108886608
Michele Parrinello13363794674
Alex J. Barker132127384746
Tomaso Poggio13260888676
Shuai Liu129109580823
Giacomo Rizzolatti11729897242
Yehezkel Ben-Ari11045944293
Daniele Piomelli10450549009
Bruno Scrosati10358066572
Wolfgang J. Parak10246943307
Liberato Manna9849444780
Muhammad Imran94305351728
Ole Isacson9334530460
Luigi Ambrosio9376139688
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202313
2022109
20211,576
20201,618
20191,439
20181,381