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Dense Match Summarization for Faster Two-view Estimation

In this paper, we speed up robust two-view relative pose from dense correspondences. Previous work has shown that dense matchers can significantly improve both accuracy and robustness in the resulting pose. However, the large number of matches comes with a significantly increased runtime during robust estimation in RANSAC. To avoid this, we propose an efficient match summarization scheme which pro

Publikationslista sapes mars 2016sv

1 Vetenskapliga publikationer från forskningsmiljön SAPES 2010 – 2016 Ahrenfeldt, E.J., Klatt, B.K., Arildsen, J., Trandem, N., Andersson, G.K.S., Tscharntke, T., Smith, H.G. and Sigsgaard, L. 2015. Pollinator Communities in Strawberry Crops - Variation at Multiple Spatial Scales. Bulletin of Entomological Research 105, 497-506. Albizua, A., Williams, A., Hedlund, K. and Pascual, U. 2015. Crop Rot

https://www.cec.lu.se/sv/sites/cec.lu.se.sv/files/publikationslista_sapes_mars_2016sv.pdf - 2026-05-29

Mats Tjernberg

Professor Kontaktinformation E-post: mats [dot] tjernberg [at] jur [dot] lu [dot] se Telefon: +46 46 222 11 19 Mobil: +46 46 222 11 19Organisation Juridiska institutionen Rumsnummer: 283 Hämtställe: 56 WebbplatsMats Tjernbergs profil i Lunds universitets forskningsportalAndra roller Forskningskoordinator Lunds skatteakademi Forskningskoordinator Integration och rätt Forskare Offentlig rätt Docent

https://www.jur.lu.se/mats-tjernberg - 2026-05-28

A Single-Year Cosmic Ray Event at 5410 BCE Registered in 14C of Tree Rings

The annual 14C data in tree rings is an outstanding proxy for uncovering extreme solar energetic particle (SEP) events in the past. Signatures of extreme SEP events have been reported in 774/775 CE, 992/993 CE, and ∼660 BCE. Here, we report another rapid increase of 14C concentration in tree rings from California, Switzerland, and Finland around 5410 BCE. These 14C data series show a significant i

Landscape context and wetland attributes influence wintering waterbirds in important bird and biodiversity areas : implications for conservation and management

Context: The intensification and expansion of human activities have caused profound changes in global wetlands and their associated aquatic bird communities. Understanding the mechanisms that drive the spatial assemblages of wetland birds is important for the development of effective conservation and management strategies. Objectives: The overall objective was to evaluate the influence of wetland

Flood modelling and proposed Blue-Green Solutions – A case study in Lisbon, Portugal

This study assesses the potential benefit of Blue-Green Solutions (BGS), green rooftops, rain gardens, permeable pavements, and bioswales, in Lisbon, Portugal. These proposed mitigation measures are applied using TFM-DYN (Nilsson et al., 2021) to simulate potential fluvial flooding distributions from a 10- and 50-year rain event.Water depth of over 30 centimeters can cause damage to infrastructure

Deep Learning for Breast Cancer Detection in Ultrasound Imaging : Classification, Managing Data Scarcity and Detecting Out-of-Distribution Samples

Breast cancer has a profound affect on society. The survival for women in low- and middle-income countries (LMICs) is poor compared to in high-income countries (HICs). The lack of timely diagnosis is one of the main factors contributing to the poor outcomes for women in LMICs. Point-of-care ultrasound (POCUS) combined with a deep learning (DL) classification network could potentially be a suitable

A New Sieving-style Information-set Decoding Algorithm

The problem of decoding random codes is a fundamental problem for code-based cryptography, including recent code-based candidates in the NIST post-quantum standardization process. In this paper, we present a novel Sieving-style Information-set Decoding algorithm, addressing the task of solving the syndrome decoding problem. Our approach involves maintaining a list of weight-2p solution vectors to

A Key-Recovery Attack on the LCMQ Authentication Protocol

We present a simple key-recovery attack on the LCMQ Authentication Protocol, an RFID authentication protocol proposed by Li, Gong, and Qin in 2013. We show that a successful attack is performed by solving a Learning Parity with Noise instance in a not-too-large dimension. For the proposed LCMQ parameters, the attack requires only a few invocations with the tag under attack. When there is no restri

Fires as collateral or means of war: challenges of environmental peacebuilding in the Kurdistan Region of Iraq

Environmental peacebuilding broadly refers to how sustainable management of natural resources can support prevention, mitigation, and resolution of conflict, as well as recovery after conflict. Shared natural resources constitute a common environmental challenge around which cooperation may be fostered. Environmentally damaging fires in conflict areas have received little attention from the peaceb

The Perils of Limited Key Reuse: Adaptive and Parallel Mismatch Attacks with Post-processing Against Kyber

The Module Learning With Errors (MLWE)-based Key Encapsulation Mechanism (KEM) Kyber is NIST's new standard scheme for post-quantum encryption. As a building block, Kyber uses a Chosen Plaintext Attack (CPA)-secure Public Key Encryption (PKE) scheme, referred to as Kyber.CPAPKE. In this paper we study the robustness of Kyber.CPAPKE against key mismatch attacks.We demonstrate that Kyber's security

A combined neural ODE-Bayesian optimization approach to resolve dynamics and estimate parameters for a modified SIR model with immune memory

We propose a novel hybrid approach that integrates Neural Ordinary Differential Equations (NODEs) with Bayesian optimization to address the dynamics and parameter estimation of a modified time-delay-type Susceptible-Infected-Removed (SIR) model incorporating immune memory. This approach leverages a neural network to produce continuous multi-wave infection profiles by learning from both data and th

Health-related quality of life by type of breast surgery in women with primary breast cancer : prospective longitudinal cohort study

Background: Health-related quality of life and patient-related outcome measures for patients with cancer have gained increased interest over the last decade. However, few prospective studies with longitudinal data evaluated health-related quality of life in patients with breast cancer. This study aimed to investigate how health-related quality of life changed from the time of diagnosis to 1 year a

Vegetation resistance to increasing aridity when crossing thresholds depends on local environmental conditions in global drylands

The crossing of aridity thresholds triggers abrupt changes in multiple functional and structural ecosystem attributes across global drylands. While we understand the consequences associated with aridity thresholds, the key factors influencing dryland vegetation resistance when crossing them remain unclear. Here, we used field observations from 58 dryland sites across five continents and satellite

Higher versus lower blood pressure targets after cardiac arrest : Systematic review with individual patient data meta-analysis

Purpose: Guidelines recommend targeting mean arterial pressure (MAP) > 65 mmHg in patients after cardiac arrest (CA). Recent trials have studied the effects of targeting a higher MAP as compared to a lower MAP after CA. We performed a systematic review and individual patient data meta-analysis to investigate the effects of higher versus lower MAP targets on patient outcome. Method: We searched the

Long-term trajectories of non-native vegetation on islands globally

Human-mediated changes in island vegetation are, among others, largely caused by the introduction and establishment of non-native species. However, data on past changes in non-native plant species abundance that predate historical documentation and censuses are scarce. Islands are among the few places where we can track human arrival in natural systems allowing us to reveal changes in vegetation d

Syrian farmers in the midst of drought and conflict: the causes, patterns, and aftermath of land abandonment and migration

The prevailing narrative on the Syrian Civil War attributes it to climate-induced migration resulting from a severe drought, which serves as a central link connecting climate change with the 2011 protests. However, limited research has involved interviews with Syrians, with most studies focusing on drought's meteorological aspects and estimated migrant numbers. Our interdisciplinary study we condu

Taming Cloud Integrated Systems in the Wild

This thesis unfolds a journey into the realm of cloud integrated systems. More specifically, it explores the transformational role of diverse cloud infrastructure, be it public or private, centralized or edge-based, when integrated into traditional systems. In this transformation, the cloud assumes the vital role of controllers. Inevitably, this shift towards cloud integration also brings into pla

Is lung involvement a favorable prognostic factor for pancreatic ductal adenocarcinoma with synchronous liver metastases?—A propensity score analysis

BackgroundFor advanced pancreatic cancer, pulmonary metastases (PM) have been considered favorable factors compared to metastases of other sites, but it remains unknown whether the prognosis of patients with synchronous liver and lung metastases is better than that of non-PM.MethodsData was derived from a two-decade cohort and included 932 cases of pancreatic adenocarcinoma with synchronous liver

wav2pos: Sound Source Localization using Masked Autoencoders

We present a novel approach to the 3D sound source localization task for distributed ad-hoc microphone arrays by formulating it as a set-to-set regression problem. By training a multi-modal masked autoencoder model that operates on audio recordings and microphone coordinates, we show that such a formulation allows for accurate localization of the sound source, by reconstructing coordinates masked