Publications related to Multi-view Tracking UsingWeakly Supervised Human Motion Prediction

Related publications (30)

How to Support Students to Develop Skills that Promote Sustainability

Sustainability should be integrated into everything we do, including engineering and student projects. This experiential activity uses the selection of materials for a wind turbine to engage participants in a contextualised negotiation of multiple facets o ...

EPFL2024

Catalytic valorization of lignocellulose and its derived feedstocks into fuels and chemicals

Zhaofu Fei

ELSEVIER2023

Gaussian Process Regression for Seismic Fragility Assessment: Application to Non-Engineered Residential Buildings in Indonesia

Andri Setiawan

Indonesia is located in a high-seismic-risk region with a significant number of non-engineered houses, which typically have a higher risk during earthquakes. Due to the wide variety of differences even among parameters within one building typology, it is d ...

2023

Quantification of Equivalent Strut Modeling Uncertainty and Its Effects on the Seismic Performance of Masonry Infilled Reinforced Concrete Frames

Mathias Christian Haindl Carvallo

Quantifying aleatory and epistemic uncertainty in nonlinear structural response simulation is key to robust performance-based seismic assessments. This paper focuses on the modeling parameters that are used to describe the nonlinear force-deformation respo ...

TAYLOR & FRANCIS LTD2023

Editorial: Hybrid brain-robot interfaces for enhancing mobility

Silvestro Micera, Fiorenzo Artoni, Solaiman Shokur, Luca Tonin

FRONTIERS MEDIA SA2023

Theoretical characterization of uncertainty in high-dimensional linear classification

Lenka Zdeborová, Florent Gérard Krzakala, Lucas Andry Clarte

Being able to reliably assess not only the accuracy but also the uncertainty of models' predictions is an important endeavor in modern machine learning. Even if the model generating the data and labels is known, computing the intrinsic uncertainty after le ...

IOP Publishing Ltd2023

Interactive Lab Experimentation and Simulation Tools for Remote Laboratories

Denis Gillet, Christophe Salzmann, Yves Henri Philippe Piguet

New extensions and features to the remote laboratories currently used for undergraduate courses in automatic control laboratory at the School of Engineering of University of Applied Sciences and Arts Western Switzerland are presented. This paper shows how ...

SPRINGER INTERNATIONAL PUBLISHING AG2022

Majority-based Design Flow for AQFP Superconducting Family

Giovanni De Micheli, Alessandro Tempia Calvino, Siang-Yun Lee, Dewmini Sudara Marakkalage

Adiabatic superconducting devices are promising candidates to develop high-speed/low-power electronics. Advances in physical technology must be matched with a systematic development of comprehensive design and simulation tools to bring superconducting elec ...

IEEE2022

Toward Super Temporal Resolution by Suppression of Mixing Effects of Electrons

Edoardo Charbon

The theoretical temporal resolution limit of silicon (Si) image sensors is 11.1 ps. The super temporal resolution (STR) is defined as a frame interval less than this limit. The temporal resolution of burst image sensors is significantly affected by ``mixin ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Experimental Determination of Relaxation Rates in a Ramsey-mode Rubidium Cell Atomic Clock

Anja Skrivervik, Maddalena Violetti, Yuanyan Su

We describe a method to measure the relaxation rates in Rubidium (Rb) Pulsed Optically Pumped (POP) vapor cell frequency standards. By means of repeated spectroscopy measurements with varying Ramsey time, we show how to extract multiple estimations of the ...

IEEE2022

An Injectable Family Of Soft Tissue Hydrogel Adhesives For Knee Applications

Dominique Pioletti, Christophe Moser, Pierre-Etienne Bourban, Peyman Karami, Céline Samira Wyss

MARY ANN LIEBERT, INC2022

Platinum Nanostructured Needle-Shaped Sensors for Ion Detection in Biomedical Applications

Sandro Carrara

Ion-selective electrodes (ISEs) represent one of the main technologies for developing sensors to measure ions concentration in human tissues. All-solid-state ISEs are of key importance for sensor miniaturization, especially toward point-of-care application ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Supporting Therapists' Assessment in Parent-Mediated Training Through Autonomous Data Collection

Daniel Carnieto Tozadore

Parental Training is a methodology where therapists teach caregivers how to train their kids in specific behaviors practicing. It can be used in verbal behavior acquisition for childrenwith autismmediated by the parents. In this paper, we are presenting an ...

SPRINGER INTERNATIONAL PUBLISHING AG2022

Finite element modeling and behavior of dissipative embedded column base connections under cyclic loading

Dimitrios Lignos, Hiroyuki Inamasu

This paper explores, by means of continuum finite element (CFE) analysis, a recently developed concept that promotes controlled inelastic energy dissipation within the embedded portion of column base connections rather than in steel columns of conventional ...

ELSEVIER SCI LTD2022

Data-driven distributionally robust joint chance-constrained energy management for multi-energy microgrid

Colin Neil Jones, Yuning Jiang

Multi-energy microgrid (MEMG) has the potential to improve the energy utilization efficiency. However, the uncertainty caused by distributed renewable energy resources brings an urgent need for multi-energy co -optimization to ensure secure operation. This ...

2022

Caught in the blind spot of a truck: A choice model on driver glance behavior towards cyclists at intersections

Silvia Francesca Varotto

Vulnerable road users (VRUs) constitute an increasing proportion of the annual road fatalities across Europe. One of the crash types involved in these fatalities are blind spot crashes between trucks and bicyclists. Despite the presence of mandatory blind ...

2022

Spatio-Temporal Graph Neural Networks for Multi-Site PV Power Forecasting

Jelena Simeunovic

Accurate forecasting of solar power generation with fine temporal and spatial resolution is vital for the operation of the power grid. However, state-of-the-art approaches that combine machinelearning with numerical weather predictions (NWP) have coarse re ...

2022

GenIE: Generative Information Extraction

Robert West, Maxime Jean Julien Peyrard, Martin Josifoski

Structured and grounded representation of text is typically formalized by closed information extraction, the problem of extracting an exhaustive set of (subject, relation, object) triplets that are consistent with a predefined set of entities and relations ...

ASSOC COMPUTATIONAL LINGUISTICS-ACL2022

Special Section: Reevaluating Markets for Information

Thomas Alois Weber

ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD2022

Symmetry protection against mode crossings in multimode photonic resonator chains

Tobias Kippenberg, Junqiu Liu, Rui Ning Wang, Mikhail Churaev, Alexey Tikan, Xinru Ji, Aleksandr Tusnin

The accessibility of solitons in driven-dissipative photonic dimers drastically varies for different supermode families. We explain the origin of this phenomenon and show its crucial influence on any soliton lattice configuration including topological arra ...

IEEE2021