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Cooperative Object Segmentation and Behavior Inference in Image Sequences

Publications associées (40)

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A Gradient-Gated SPAD Array for Non-Line-of-Sight Imaging

Edoardo Charbon, Pouyan Keshavarzian, Jiuxuan Zhao, Francesco Gramuglia, Myung Jae Lee

Time-resolved non-line-of-sight (NLOS) imaging based on single-photon avalanche diode (SPAD) detectors have demonstrated impressive results in recent years. To acquire adequate number of indirect photons from a hidden scene in the presence of overwhelming ...

Ieee-Inst Electrical Electronics Engineers Inc2024

Building a Knowledge Graph of Chinese Kung Fu Masters From Heterogeneous Bilingual Data

Yumeng Hou, Lin Yuan

Various endeavours into semantic web technologies and ontology engineering have been made within the organisation of cultural data, facilitating public access to digital assets. Although models for conceptualising objects have reached a certain level of ma ...

2023

Unlocking a multimodal archive of Southern Chinese martial arts through embodied cues

Sarah Irene Brutton Kenderdine, Yumeng Hou, Fadel Mamar Seydou

Purpose: Despite being an authentic carrier of various cultural practices, the human body is often underutilised to access the knowledge of human body. Digital inventions today have created new avenues to open up cultural data resources, yet mainly as appa ...

2023

Horizontal Healing

Anja Fröhlich

A Concideration of Typologies for Housing the Sick as a Spatial Manifestation of knowledge. ...

EPFL Press2022

On the Maximum Power Density of Implanted Antennas within Simplified Body Phantoms

Anja Skrivervik, Zvonimir Sipus, Mingxiang Gao

With the application requirements of wireless technology in implantable bioelectronics, knowledge of the fundamental limits for implanted antennas becomes critical. In this work, we investigated the variation of maximum power density within simplified body ...

IEEE2022

Introduction to Climate Action - Academic Citizens’ Assembly

Sascha Nick

As participants of the Academic Citizens’ Assembly, we aim to find solutions to rapidly decarbonize the Swiss society, improving wellbeing and making it more resilient and inclusive at the same time. This document summarizes the most important knowledge yo ...

Academic Citizens’ Assembly2022

Large training datasets have played a vital role in the success of modern deep learning methods in computer vision. But, obtaining sufficient amount of training data is challenging, specially when annotating volumetric images. This is because fully annotat ...

EPFL2022

Systematic selection of field response measurements for excavation back analysis

Ian Smith, Numa Joy Bertola

In a geotechnical excavation, back analyses are routinely performed using the measured field responses to derive the material parameter values for the different soil layers present at the site. For the purpose of back analyses, the engineers will usually m ...

2021

Lifelong Machine Learning with Data Efficiency and Knowledge Retention

Fei Mi

Artificial intelligence (AI) and machine learning (ML) have become de facto tools in many real-life applications to offer a wide range of benefits for individuals and our society. A classic ML model is typically trained with a large-scale static dataset in ...

EPFL2021

Rethinking data browsing through embodied knowledge

In the age of digital and big data, the interaction with machines is central and emphasizes the sophistication of user interfaces and browsing tools. However, in the domain of digital artwork collections, most platforms propose access to images through key ...

2021