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Acquiring functional object knowledge through motor imagery?

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Our contribution will propose a new approach for engaging with scientific instruments inspired by a recent exhibition which we have designed and organized. Inverting the current trope of presenting history through many objects, the exhibition weaved togeth ...

2023

The company town palimpsest: space, life and politics in Dalmine, Italy

Anna Karla De Almeida Milani

This article proposes a reflection on the company towns’ actual conditions, presenting as a case study an up-to-date and articulated reconstruction of the conditions of habitability in Dalmine, Italy. The research strives on the phenomenon of company towns ...

Marsilio2022

Features integrate along a motion trajectory when object integrity is preserved

Michael Herzog, Leila Drissi Daoudi - Kleinbauer

Information about a moving object is usually poor at each retinotopic location because photoreceptor activation is short, noisy, and affected by shadows, reflections of other objects, and so on. Integration across the motion trajectory may yield a much bet ...

ASSOC RESEARCH VISION OPHTHALMOLOGY INC2021

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New non-volatile memory (NVM) technologies enable direct, durable storage of data in an application's heap. Durable, randomly accessible memory facilitates the construction of applications that do not lose data at system shutdown or power failure. Existing ...

ACM2018

A Novel Representation of Parts for Accurate 3D Object Detection and Tracking in Monocular Images

Pascal Fua, Vincent Lepetit, Kwang Moo Yi, Alberto Crivellaro, Yannick Verdie, Mahdi Rad

We present a method that estimates in real-time and under challenging conditions the 3D pose of a known object. Our method relies only on grayscale images since depth cameras fail on metallic objects; it can handle poorly textured objects, and cluttered, c ...

2015

From Image-level to Pixel-level Labeling with Convolutional Networks

Ronan Collobert, Pedro Henrique Oliveira Pinheiro

We are interested in inferring object segmentation by leveraging only object class information, and by considering only minimal priors on the object segmentation task. This problem could be viewed as a kind of weakly supervised segmentation task, and natur ...

2015

On Rendering Synthetic Images for Training an Object Detector

Pascal Fua, Vincent Lepetit, Artem Rozantsev

We propose a novel approach to synthesizing images that are effective for training object detectors. Starting from a small set of real images, our algorithm estimates the rendering parameters required to synthesize similar images given a coarse 3D model of ...

2014

Learning Object-level Impedance Control for Robust Grasping and Dexterous Manipulation

Aude Billard, Hang Yin, Miao Li, Kenji Tahara

Object-level impedance control is of great importance for object-centric tasks, such as robust grasping and dexterous manipulation. Despite the recent progress on this topic, how to specify the desired object impedance for a given task remains an open issu ...

2014

Nanoscale motion detector

Giovanni Dietler, Sandor Kasas, Giovanni Longo

Motion detector comprising a flexible support (1,5) adapted to hold at least one object (6-9), a sensor (4) for measuring the displacement of said support (1) and processing means for differentiating the fluctuations of said support (1) from those induced ...

2013

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Tangible user interfaces (TUIs) have been the focus of much attention in the HCI and learning communities because of their many potential benefits for learning. However, there have recently been debates about whether TUIs can actually increase learning out ...

2012