LUNDS TEKNISKA HÖGSKOLA

∙ Lund , Sweden ∙ 0 followers

LTH, part of Lund University, is one of Sweden's few complete schools of technology. There are 9 900 students and 1,500 employees.

Human Synthesis and Scene Compositing

Generating good quality and geometrically plausible synthetic images of ...
09/23/2019 ∙ by Mihai Zanfir, et al. ∙ 13 ∙ share

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Embodied Visual Active Learning for Semantic Segmentation

We study the task of embodied visual active learning, where an agent is ...
12/17/2020 ∙ by David Nilsson, et al. ∙ 12 ∙ share

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Graph Spectral Characterization of Brain Cortical Morphology

The human brain cortical layer has a convoluted morphology that is uniqu...
02/19/2019 ∙ by Sevil Maghsadhagh, et al. ∙ 10 ∙ share

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Deep Reinforcement Learning for Active Human Pose Estimation

Most 3d human pose estimation methods assume that input – be it images o...
01/07/2020 ∙ by Erik Gärtner, et al. ∙ 8 ∙ share

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SMSSVD - SubMatrix Selection Singular Value Decomposition

High throughput biomedical measurements normally capture multiple overla...
10/23/2017 ∙ by Rasmus Henningsson, et al. ∙ 0 ∙ share

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On the Taut String Interpretation of the One-dimensional Rudin-Osher-Fatemi Model: A New Proof, a Fundamental Estimate and Some Applications

A new proof of the equivalence of the Taut String Algorithm and the one-...
10/27/2017 ∙ by Niels Chr. Overgaard, et al. ∙ 0 ∙ share

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Local Convergence of Proximal Splitting Methods for Rank Constrained Problems

We analyze the local convergence of proximal splitting algorithms to sol...
10/11/2017 ∙ by Christian Grussler, et al. ∙ 0 ∙ share

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Deep Convolutional Neural Networks for Massive MIMO Fingerprint-Based Positioning

This paper provides an initial investigation on the application of convo...
08/21/2017 ∙ by Joao Vieira, et al. ∙ 0 ∙ share

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Training Deep Networks with Structured Layers by Matrix Backpropagation

Deep neural network architectures have recently produced excellent resul...
09/25/2015 ∙ by Catalin Ionescu, et al. ∙ 0 ∙ share

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Deep Multitask Architecture for Integrated 2D and 3D Human Sensing

We propose a deep multitask architecture for fully automatic 2d and 3d h...
01/31/2017 ∙ by Alin-Ionut Popa, et al. ∙ 0 ∙ share

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Semantic Video Segmentation by Gated Recurrent Flow Propagation

Semantic video segmentation is challenging due to the sheer amount of da...
12/28/2016 ∙ by David Nilsson, et al. ∙ 0 ∙ share

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Clustering of Sparse and Approximately Sparse Graphs by Semidefinite Programming

As a model problem for clustering, we consider the densest k-disjoint-cl...
03/16/2016 ∙ by Aleksis Pirinen, et al. ∙ 0 ∙ share

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Parametric Image Segmentation of Humans with Structural Shape Priors

The figure-ground segmentation of humans in images captured in natural e...
01/27/2015 ∙ by Alin-Ionut Popa, et al. ∙ 0 ∙ share

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Multiple Instance Reinforcement Learning for Efficient Weakly-Supervised Detection in Images

State-of-the-art visual recognition and detection systems increasingly r...
11/29/2014 ∙ by Stefan Mathe, et al. ∙ 0 ∙ share

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Constrained Parametric Proposals and Pooling Methods for Semantic Segmentation in RGB-D Images

We focus on the problem of semantic segmentation based on RGB-D data, wi...
12/30/2013 ∙ by Dan Banica, et al. ∙ 0 ∙ share

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Actions in the Eye: Dynamic Gaze Datasets and Learnt Saliency Models for Visual Recognition

Systems based on bag-of-words models from image features collected at ma...
12/29/2013 ∙ by Stefan Mathe, et al. ∙ 0 ∙ share

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Interpolation and Extrapolation of Toeplitz Matrices via Optimal Mass Transport

In this work, we propose a novel method for quantifying distances betwee...
11/10/2017 ∙ by Filip Elvander, et al. ∙ 0 ∙ share

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Using a Predator-Prey Model to Explain Variations of Cloud Spot Price

The spot pricing scheme has been considered to be resource-efficient for...
08/04/2017 ∙ by Zheng Li, et al. ∙ 0 ∙ share

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On a Feedback Control-based Mechanism of Bidding for Cloud Spot Service

As a cost-effective option for Cloud consumers, spot service has been co...
08/04/2017 ∙ by Zheng Li, et al. ∙ 0 ∙ share

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DoKnowMe: Towards a Domain Knowledge-driven Methodology for Performance Evaluation

Software engineering considers performance evaluation to be one of the k...
08/04/2017 ∙ by Zheng Li, et al. ∙ 0 ∙ share

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Combating Error Propagation in Window Decoding of Braided Convolutional Codes

In this paper, we study sliding window decoding of braided convolutional...
01/10/2018 ∙ by Min Zhu, et al. ∙ 0 ∙ share

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A Scalable Belief Propagation Algorithm for Radio Signal Based SLAM

We present a simultaneous localization and mapping (SLAM) algorithm that...
01/13/2018 ∙ by Erik Leitinger, et al. ∙ 0 ∙ share

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Thresholds of Braided Convolutional Codes on the AWGN Channel

In this paper, we perform a threshold analysis of braided convolutional ...
02/28/2018 ∙ by Muhammad Umar Farooq, et al. ∙ 0 ∙ share

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An exploratory study on how Internet of Things developing companies handle User Experience Requirements

[Context and motivation] Internet of Things (IoT) is becoming common thr...
03/08/2018 ∙ by Johanna Bergman, et al. ∙ 0 ∙ share

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Channel Hardening in Massive MIMO - A Measurement Based Analysis

Wireless-controlled robots, cars and other critical applications are in ...
04/05/2018 ∙ by Sara Gunnarsson, et al. ∙ 0 ∙ share

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Bilateral Teleoperation of Multiple Robots under Scheduling Communication

In this paper, bilateral teleoperation of multiple slaves coupled to a s...
04/12/2018 ∙ by Yuling Li, et al. ∙ 0 ∙ share

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Composite Adaptive Control for Bilateral Teleoperation Systems without Persistency of Excitation

Composite adaptive control schemes, which use both the system tracking e...
04/18/2018 ∙ by Yuling Li, et al. ∙ 0 ∙ share

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A fast minimal solver for absolute camera pose with unknown focal length and radial distortion from four planar points

In this paper we present a fast minimal solver for absolute camera pose ...
05/27/2018 ∙ by Magnus Oskarsson, et al. ∙ 0 ∙ share

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Trust Anchors in Software Defined Networks

Advances in software virtualization and network processing lead to incre...
06/19/2018 ∙ by Nicolae Paladi, et al. ∙ 0 ∙ share

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Fully Decentralized Massive MIMO Detection Based on Recursive Methods

Algorithms for Massive MIMO uplink detection typically rely on a central...
08/28/2018 ∙ by Jesus Rodriguez Sanchez, et al. ∙ 0 ∙ share

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Collaborative target-tracking control using multiple autonomous fixed-wing UAVs with constant speeds: Theory and experiments

This paper considers a collaborative tracking control problem using a gr...
09/29/2018 ∙ by Zhiyong Sun, et al. ∙ 0 ∙ share

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Bilinear Parameterization For Differentiable Rank-Regularization

Low rank approximation is a commonly occurring problem in many computer ...
11/27/2018 ∙ by Marcus Valtonen Örnhag, et al. ∙ 0 ∙ share

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Non-attracting Regions of Local Minima in Deep and Wide Neural Networks

Understanding the loss surface of neural networks is essential for the d...
12/16/2018 ∙ by Henning Petzka, et al. ∙ 0 ∙ share

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Cooperative event-based rigid formation control

This paper discusses cooperative stabilization control of rigid formatio...
01/11/2019 ∙ by Zhiyong Sun, et al. ∙ 0 ∙ share

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The Asymptotic Complexity of Coded-BKW with Sieving Using Increasing Reduction Factors

The Learning with Errors problem (LWE) is one of the main candidates for...
01/19/2019 ∙ by Erik Mårtensson, et al. ∙ 0 ∙ share

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Mobile Formation Coordination and Tracking Control for Multiple Non-holonomic Vehicles

This paper addresses forward motion control for trajectory tracking and ...
02/28/2019 ∙ by Xiuhui Peng, et al. ∙ 0 ∙ share

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Overview of the Ugglan Entity Discovery and Linking System

Ugglan is a system designed to discover named entities and link them to ...
03/13/2019 ∙ by Marcus Klang, et al. ∙ 0 ∙ share

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Massive MIMO Optimization with Compatible Sets

Massive multiple-input multiple-output (MIMO) is expected to be a vital ...
03/19/2019 ∙ by Emma Fitzgerald, et al. ∙ 0 ∙ share

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SVAG: Unified Convergence Results for SAG-SAGA Interpolation with Stochastic Variance Adjusted Gradient Descent

We analyze SVAG, a variance reduced stochastic gradient method with SAG ...
03/21/2019 ∙ by Martin Morin, et al. ∙ 0 ∙ share

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Channel Correlation Diversity in MU-MIMO Systems - Analysis and Measurements

In multiuser multiple-input multiple-output (MU-MIMO) systems, channel c...
04/16/2019 ∙ by Harsh Tataria, et al. ∙ 0 ∙ share

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Sharing of vulnerability information among companies -- a survey of Swedish companies

Software products are rarely developed from scratch and vulnerabilities ...
06/11/2019 ∙ by Thomas Olsson, et al. ∙ 0 ∙ share

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Removing numerical dispersion from linear evolution equations

In this paper we describe a method for removing the numerical errors in ...
06/22/2019 ∙ by Jens Wittsten, et al. ∙ 0 ∙ share

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Low Power Receiver Front Ends: Scaling Laws and Applications

In this paper, we combine communication-theoretic laws with known, pract...
07/10/2019 ∙ by Muris Sarajlic, et al. ∙ 0 ∙ share

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Network Lifetime Maximization in Wireless Mesh Networks for Machine-to-Machine Communication

In this paper we present new optimization formulations for maximizing th...
08/14/2019 ∙ by Emma Fitzgerald, et al. ∙ 0 ∙ share

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Efficient Pilot Allocation for URLLC Traffic in 5G Industrial IoT Networks

In this paper we address the problem of resource allocation for alarm tr...
09/25/2019 ∙ by Emma Fitzgerald, et al. ∙ 0 ∙ share

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An Iterative Interference Cancellation Algorithm for Large Intelligent Surfaces

The Large Intelligent Surface (LIS) concept is a promising technology ai...
11/25/2019 ∙ by Jesus Rodriguez Sanchez, et al. ∙ 0 ∙ share

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A Reparameterization-Invariant Flatness Measure for Deep Neural Networks

The performance of deep neural networks is often attributed to their aut...
11/29/2019 ∙ by Henning Petzka, et al. ∙ 0 ∙ share

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Processing Distribution and Architecture Tradeoff for Large Intelligent Surface Implementation

The Large Intelligent Surface (LIS) concept has emerged recently as a ne...
01/14/2020 ∙ by Jesus Rodriguez Sanchez, et al. ∙ 0 ∙ share

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Real-Time Deployment Aspects of C-Band and Millimeter-Wave 5G-NR Systems

Fifth-generation (5G) new radio (NR) deployments are being rolled out in...
01/31/2020 ∙ by Mansoor Shafi, et al. ∙ 0 ∙ share

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Amplitude and Phase Estimation for Absolute Calibration of Massive MIMO Front-Ends

Massive multiple-input multiple-output (MIMO) promises significantly hig...
02/25/2020 ∙ by Guoda Tian, et al. ∙ 0 ∙ share

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