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Deep network for the integrated 3D sensing of multiple people in natural images

We present MubyNet - a feed-forward, multitask, bottom up system for the integrated localization, as well as 3d pose and shape estimation, of multiple people in monocular images. The challenge is the formal modeling of the problem that intrinsically requires discrete and continuous computation, e.g. grouping people vs. predicting 3d pose. The model identifies human body structures (joints and limb

Problemlösning ger hopp i virusets tidevarv

Problemlösning ger hopp i virusets tidevarv Hoppa till huvudinnehåll Vi använder cookies och andra spårningsteknologier för att förbättra användarupplevelsen på vår webbplats, för att visa dig personligt innehåll och riktade annonser och för att analysera vår webbplatstrafik. Läs mer om cookies. Absolut nödvändiga cookies Dessa cookies är nödvändiga för att webbplatsen ska fungera och kan inte stä

https://www.lth.se/article/problemloesning-ger-hopp-i-virusets-tidevarv/ - 2026-04-27

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3 Climate Displacement in African Cities Freetown City Profile ISBN 978-91-86910-72-3 Climate displacement in African cities: Freetown city profile © 2023 Raoul Wallenberg Institute of Human Rights and Humanitarian Law A partnership between: This publication was produced through a collaboration between Lund University, the Raoul Wallenberg Institute of Human Rights and Humanitarian Law, and local

https://rwi.lu.se/wp-content/uploads/2023/12/Sierra-Leone-City-profile-FINAL.pdf - 2026-04-28

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Lärande i LTH I samband med LTHs och Naturvetenskapliga fakultetens gemensamma ämnesdidaktiska kurs fokuserades mö- tet mellan ämne och pedagogik. I detta blad sammanfattas deltagarnas empiriskt underbyggda projektarbe- ten. Vi får också möta författarna till boken ”Att genomföra examensarbete” som skrivits med utgångspunkt från undervisningen vid LTH. På sista sidan presenteras höstens högskolepe

https://www.lth.se/fileadmin/cee/genombrottet/Laerande_i_LTH/Laerande_i_LTH_blad_3.pdf - 2026-04-28

Folkhemmet

Hans Dam Christensen I dag ved jeg sådan nogenlunde, hvad udtrykket “folkhemmet” betyder. Tror jeg. Jeg har endda læst Per Albin Hanssons Folkhemstalet fra 1928. I talen anvendes udtrykket “det goda medborgarhemmet” oftere, men det fængede åbenbart ikke på samme måde. Når jeg er på Nordiska Museet i dag, besøger jeg museets “folkhem”-lejlighed. Samme museum fortæller mig også, at “folkhemmet” kan

https://www.cors.lu.se/publikationer/ordbro/folkhemmet - 2026-04-29

Automatic Compartment Modelling and Segmentation for Dynamical Renal Scintigraphies

Time-resolved medical data has important applications in a large variety of medical applications. In this paper we study automatic analysis of dynamical renal scintigraphies. The traditional analysis pipeline for dynamical renal scintigraphies is to use manual or semiautomatic methods for segmentation of pixels into physical compartments, extract their corresponding time-activity curves and then c

Johanna Antonsson

Doktorand Kontaktinformation E-post: johanna [dot] antonsson [at] mhm [dot] lu [dot] seOrganisation Lärare (Musikhögskolan) WebbplatsJohanna Antonssons profil i Lunds universitets forskningsportalDoktorand i musikpedagogikPresentationAlla barn i Sverige möter musik i sin grundskoleutbildning. Enligt den timplan som började gälla för årskurs 1–7 år 2019 ska alla elever i grundskolan få 230 timmars

https://www.mhm.lu.se/johanna-antonsson - 2026-04-29

Circular Higher-order Reference Attribute Grammars

Abstract in UndeterminedReference attribute grammars (RAGs) provide a practical declarative means to implement programming language compilers and other tools. RAGs have previously been extended to support both circular attributes and context-dependent declarative rewrites of the abstract syntax tree. In this previous work, dependencies between circular attributes and rewrites are not considered. I

Improved Object Detection and Pose Using Part-Based Models

Automated object detection is perhaps the most central task of computer vision and arguably the most difficult one. This paper extends previous work on part-based models by using accurate geometric models both in the learning phase and at detection. In the learning phase manual annotations are used to reduce perspective distortion before learning the part-based models. That training is performed o

Multitudes of Objects: First Implementation and Case Study for Java

In object-oriented programs, the relationship of an object to many objects is usually implemented using indirection through a collection. This is in contrast to a relationship to one object, which is usually implemented directly. However, using collections for relationships to many objects does not only mean that accessing the related objects always requires accessing the collection first, it also

Partial Symmetry in Polynomial Systems and Its Application in Computer Vision

Algorithms for solving systems of polynomial equations are key components for solving geometry problems in computer vision. Fast and stable polynomial solvers are essential for numerous applications e.g. minimal problems or finding for all stationary points of certain algebraic errors. Recently, full symmetry in the polynomial systems has been utilized to simplify and speed up state-of-the-art pol

Reusing Semantics in Visual Editors: A Case for Reference Attribute Grammars

The semantic formalism reference attribute grammars (RAGs) allows graphs to be superimposed on abstract syntax trees. This paper investigates how RAGs can be used to model visual languages, with a case study of a control language that also has a textual syntax. The language contains blocks on which a total execution order is defined based on connections and layout information. One strength of RAGs

Tractable Algorithms for Robust Model Estimation

What is the computational complexity of geometric model estimation in the presence of noise and outliers? We show that the number of outliers can be minimized in polynomial time with respect to the number of measurements, although exponential in the model dimension. Moreover, for a large class of problems, we prove that the statistically more desirable truncated L2-norm can be optimized with the s

Optimizing Visual Vocabularies Using Soft Assignment Entropies

The state of the art for large database object retrieval in images is based on quantizing descriptors of interest points into visual words. High similarity between matching image representations (as bags of words) is based upon the assumption that matched points in the two images end up in similar words in hard assignment or in similar representations in soft assignment techniques. In this paper w

Robot Joint Modeling and Parameter Identification Using the Clamping Method

The usage of industrial robots for milling tasks is limited by their lack of absolute accuracy in presence of process forces. While there are techniques and products available for increasing the absolute accuracy of free-space motions, the mechanical weaknesses of the robot in combination with the milling forces limits the achievable performance. If the dynamic effects causing the deviations can b

Extensible intraprocedural flow analysis at the abstract syntax tree level

We have developed a new approach for implementing precise intraprocedural control-flow and dataflow analyses at the abstract syntax tree level. Our approach is declarative, making use of reference attribute grammars augmented with circular attributes and collection attributes. This results in concise executable specifications of the analyses, allowing extensions both to the language and with furth