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Microsoft Word - Diversity in Education E5 Media.docx Lund university ISBN 978-91-87357-20-6 9 78 91 87 35 72 06 Printed by M edia-Tryck, Lund U niversity 2015 n a o k o to jo a n d B er n a d et t k iss D iversity in E ducation C rossing cultural, disciplinary and professional divides 2017 Diversity in Education Crossing cultural, disciplinary and professional divides edited By naoko tojo and Ber

https://www.iiiee.lu.se/sites/iiiee.lu.se/files/web_version_diversity_in_education_e5_media.pdf - 2026-05-11

CFEWP46(1) CFE Working papers No. 46 1 Structural Guarantees for the State Aid Field – The Community’s Last Best Hope against National Arbitrariness Angelica Ericsson CFE Working papers are available at the website of the Centre for European Studies www.cfe.lu.se CFE Working paper series No. 46 Angelica Ericsson holds a Master of Laws from the University of Lund and this paper was her graduate the

https://www.cfe.lu.se/en/sites/cfe.lu.se.en/files/2020-12/cfewp46.pdf - 2026-05-11

Researcher, Docent David Harnesk is an Associate Professor (Docent) in Sustainability Science with a thematic focus on land issues, social movements and methodology in sustainability transformations. His research is interdisciplinary and action-oriented, currently focusing on the climatic and environmental conditions of Indigenous Sámi reindeer pastoralism, and its surrounding social and political

https://www.lucsus.lu.se/david-harnesk - 2026-05-10

Keynote presentation based on the book "Street Art and the Environment" (2018).

HQC is an IND-CCA2 KEM running for standardization in NIST’s post-quantum cryptography project and has advanced to the second round. It is a code-based scheme in the class of public key encryptions, with given sets of parameters spanning NIST security strength 1, 3 and 5, corresponding to 128, 192 and 256 bits of classic security.In this paper we present an attack recovering the secret key of an H

Understanding 3d human interactions is fundamental for fine grained scene analysis and behavioural modeling. However, most of the existing models focus on analyzing a single person in isolation, and those who process several people focus largely on resolving multi-person data association, rather than inferring interactions. This may lead to incorrect, lifeless 3d estimates, that miss the subtle hu

This keynote talk discussed how street art may influence our perception and use of the urban environment. With a point of departure in the book "The Street Art World" (2014), it argued that the open, unsanctioned and ephemeral nature of street art plays an important role in potentially changing how we relate to our surroundings. The talk also considered how sanctioned, often large-scale, works can

In this paper we consider a mobile platform with two cameras directed towards the floor mounted the same distance from the ground, assuming planar motion and constant internal parameters. Earlier work related to this specific problem geometry has been carried out for monocular systems, and the main contribution of this paper is the generalization to a binocular system and the recovery of the relat

Many computer vision applications require robust estimation of the underlying geometry, in terms of camera motion and 3D structure of the scene. These robust methods often rely on running minimal solvers in a RANSAC framework. In this paper we show how we can make polynomial solvers based on the action matrix method faster, by careful selection of the monomial bases. These monomial bases have trad

To estimate the 6-DoF extrinsic pose of a pinhole camera with partially unknown intrinsic parameters is a critical sub-problem in structure-from-motion and camera localization. In most of existing camera pose estimation solvers, the principal point is assumed to be in the image center. Unfortunately, this assumption is not always true, especially for asymmetrically cropped images. In this paper, w

This paper introduces the first minimal solvers that jointly solve for affine-rectification and radial lens distortion from coplanar repeated patterns. Even with imagery from moderately distorted lenses, plane rectification using the pinhole camera model is inaccurate or invalid. The proposed solvers incorporate lens distortion into the camera model and extend accurate rectification to wide-angle

The problem of graph matching under node and pairwise constraints is fundamental in areas as diverse as combinatorial optimization, machine learning or computer vision, where representing both the relations between nodes and their neighborhood structure is essential. We present an end-to-end model that makes it possible to learn all parameters of the graph matching process, including the unary and

We introduce new, fine-grained action and emotion recognition tasks defined on non-staged videos, recorded during robot-assisted therapy sessions of children with autism. The tasks present several challenges: a large dataset with long videos, a large number of highly variable actions, children that are only partially visible, have different ages and may show unpredictable behaviour, as well as non

We propose drl-RPN, a deep reinforcement learning-based visual recognition model consisting of a sequential region proposal network (RPN) and an object detector. In contrast to typical RPNs, where candidate object regions (RoIs) are selected greedily via class-agnostic NMS, drl-RPN optimizes an objective closer to the final detection task. This is achieved by replacing the greedy RoI selection pro

In this paper we explore the role of duality principles within the problem of rotation averaging, a fundamental task in a wide range of computer vision applications. In its conventional form, rotation averaging is stated as a minimization over multiple rotation constraints. As these constraints are non-convex, this problem is generally considered challenging to solve globally. We show how to circu

A cross-national study, 49 samples in 38 nations, N=4,344, investigates whether national peace and conflict reflect ambivalent warmth-competence stereotypes: High-conflict societies (Pakistan) may need clearcut, unambivalent group images-distinguishing friends from foes. Highly peaceful countries (Denmark) also may need less ambivalence because most groups occupy the shared national identity, with

We present a minimal solver for a special kind of homography arising in applications with planar camera motion (e.g. mobile robotics applications). Since the camera motion we consider only has five degrees of freedom, an explicit parametrisation allows us to reduce the required number of point correspondences to 2.5. Using fewer point correspondences is beneficial when used together with RANSAC, b

Indoor localization and navigation is a much researched and difficult problem. The best solutions, usually use expensive specialized equipment and/or prior calibration of some form. To the average person with smart or Internet-Of-Things devices, these solutions are not feasible, particularly in large scales. With hardware advancements making Ultra-Wideband devices more accurate and low powered, th

Estimating the 3D model of the human body is needed for many applications. However, this is a challenging problem since the human body inherently has a high complexity due to self-occlusions and articulation. We present a method to reconstruct the 3D human body model from a single RGB-D image. 2D joint points are firstly predicted by a CNN-based model called convolutional pose machine, and the 3D