Publications related to Object Duplicate Detection

Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency

Jean-Philippe Thiran, Tobias Kober, Bénédicte Marie Maréchal, Jonas Richiardi

With the rise of open data, identifiability of individuals based on 3D renderings obtained from routine structural magnetic resonance imaging (MRI) scans of the head has become a growing privacy concern. To protect subject privacy, several algorithms have ...

Wiley2024

Efficient Continual Finite-Sum Minimization

Volkan Cevher, Efstratios Panteleimon Skoulakis, Leello Tadesse Dadi

Given a sequence of functions

f_1,\ldots,f_n

with

f_i:\mathcal{D}\mapsto \mathbb{R}

, finite-sum minimization seeks a point

{x}^\star \in \mathcal{D}

minimizing

\sum_{j=1}^nf_j(x)/n

. In this work, we propose a key twist into the finite-sum minimizat ...

2024

Things that Talk: On a new perspective for engaging with scientific instruments

Jérôme Baudry, Ion-Gabriel Mihailescu

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

Electroadhesive gripping system and method for gripping an object

Herbert Shea, Vito Cacucciolo, Krishna Manaswi Digumarti

An electroadhesive gripping system and a method for gripping and manipulating an object are disclosed. The invention provides a novel approach particularly useful to pick fabrics or otherwise flat and flexible objects including a method relying on electroa ...

2023

Tracking Adaptation to Improve SuperPoint for 3D Reconstruction in Endoscopy

Pascal Fua

Endoscopy is the gold standard procedure for early detection and treatment of numerous diseases. Obtaining 3D reconstructions from real endoscopic videos would facilitate the development of assistive tools for practitioners, but it is a challenging problem ...

Springer2023

Learning to Represent and Reconstruct 3D Deformable Objects

Jan Bednarík

Representing and reconstructing 3D deformable shapes are two tightly linked problems that have long been studied within the computer vision field. Deformable shapes are truly ubiquitous in the real world, whether be it specific object classes such as human ...

EPFL2022

Image-based geometric digital twinning for stone masonry elements

Katrin Beyer, Bryan German Pantoja Rosero, Savvas Saloustros

We present an image-based pipeline for generating geometrical digital twins (GDTs) of stone masonry elements with detail down to the stone level. For this purpose, we acquire RGB images of the individual stones and of the wall during the construction phase ...

2022

Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans

Amir Roshan Zamir, Alexander Evan Sax, Ainaz Eftekhar

This paper introduces a pipeline to parametrically sample and render static multi-task vision datasets from comprehensive 3D scans from the real-world. In addition to enabling interesting lines of research, we show the tooling and generated data suffice to ...

IEEE2021

Method and system for generating a three-dimensional model based on spherical photogrammetry

Frédéric Kaplan, Pierre-André Mudry, Nils Hamel, Albane Bénédicte Descombes

A computer-implemented method is proposed for creating a three-dimensional model of the environment. The method comprises the steps of planning (105) a trajectory for a moving system carrying an omnidirectional camera comprising a first image sensor facing ...

2021

Every Elementary Higher Topos Has A Natural Number Object

Nima Rasekh

We prove that every elementary (infinity, 1)-topos has a natural number object. We achieve this by defining the loop space of the circle and showing that we can construct a natural number object out of it. Part of the proof involves showing that various de ...

2021

Object Duplicate Detection

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Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency

Efficient Continual Finite-Sum Minimization

Things that Talk: On a new perspective for engaging with scientific instruments

Electroadhesive gripping system and method for gripping an object

Tracking Adaptation to Improve SuperPoint for 3D Reconstruction in Endoscopy

Learning to Represent and Reconstruct 3D Deformable Objects

Image-based geometric digital twinning for stone masonry elements

Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans

Method and system for generating a three-dimensional model based on spherical photogrammetry

Every Elementary Higher Topos Has A Natural Number Object

Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency

Learning to Represent and Reconstruct 3D Deformable Objects

Things that Talk: On a new perspective for engaging with scientific instruments

Electroadhesive gripping system and method for gripping an object

Image-based geometric digital twinning for stone masonry elements

Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans

Efficient Continual Finite-Sum Minimization

Every Elementary Higher Topos Has A Natural Number Object

Method and system for generating a three-dimensional model based on spherical photogrammetry

Tracking Adaptation to Improve SuperPoint for 3D Reconstruction in Endoscopy