LUNDS TEKNISKA HÖGSKOLA

research

∙ 09/23/2019

Human Synthesis and Scene Compositing

Generating good quality and geometrically plausible synthetic images of ...

Mihai Zanfir, et al. ∙

research

∙ 12/17/2020

Embodied Visual Active Learning for Semantic Segmentation

We study the task of embodied visual active learning, where an agent is ...

David Nilsson, et al. ∙

research

∙ 02/19/2019

Graph Spectral Characterization of Brain Cortical Morphology

The human brain cortical layer has a convoluted morphology that is uniqu...

Sevil Maghsadhagh, et al. ∙

research

∙ 01/07/2020

Deep Reinforcement Learning for Active Human Pose Estimation

Most 3d human pose estimation methods assume that input – be it images o...

Erik Gärtner, et al. ∙

research

∙ 02/04/2022

Bootstrapped Representation Learning for Skeleton-Based Action Recognition

In this work, we study self-supervised representation learning for 3D sk...

Olivier Moliner, et al. ∙

research

∙ 12/28/2021

Embodied Learning for Lifelong Visual Perception

We study lifelong visual perception in an embodied setup, where we devel...

David Nilsson, et al. ∙

research

∙ 04/21/2022

Learning Future Object Prediction with a Spatiotemporal Detection Transformer

We explore future object prediction – a challenging problem where all ob...

Adam Tonderski, et al. ∙

research

∙ 10/23/2017

SMSSVD - SubMatrix Selection Singular Value Decomposition

High throughput biomedical measurements normally capture multiple overla...

Rasmus Henningsson, et al. ∙

research

∙ 10/27/2017

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-...

Niels Chr. Overgaard, et al. ∙

research

∙ 10/11/2017

Local Convergence of Proximal Splitting Methods for Rank Constrained Problems

We analyze the local convergence of proximal splitting algorithms to sol...

Christian Grussler, et al. ∙

research

∙ 08/21/2017

Deep Convolutional Neural Networks for Massive MIMO Fingerprint-Based Positioning

This paper provides an initial investigation on the application of convo...

Joao Vieira, et al. ∙

research

∙ 09/25/2015

Training Deep Networks with Structured Layers by Matrix Backpropagation

Deep neural network architectures have recently produced excellent resul...

Catalin Ionescu, et al. ∙

research

∙ 01/31/2017

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

We propose a deep multitask architecture for fully automatic 2d and 3d h...

Alin-Ionut Popa, et al. ∙

research

∙ 12/28/2016

Semantic Video Segmentation by Gated Recurrent Flow Propagation

Semantic video segmentation is challenging due to the sheer amount of da...

David Nilsson, et al. ∙

research

∙ 03/16/2016

Clustering of Sparse and Approximately Sparse Graphs by Semidefinite Programming

As a model problem for clustering, we consider the densest k-disjoint-cl...

Aleksis Pirinen, et al. ∙

research

∙ 01/27/2015

Parametric Image Segmentation of Humans with Structural Shape Priors

The figure-ground segmentation of humans in images captured in natural e...

Alin-Ionut Popa, et al. ∙

research

∙ 11/29/2014

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

State-of-the-art visual recognition and detection systems increasingly r...

Stefan Mathe, et al. ∙

research

∙ 12/30/2013

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...

Dan Banica, et al. ∙

research

∙ 12/29/2013

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...

Stefan Mathe, et al. ∙

research

∙ 11/10/2017

Interpolation and Extrapolation of Toeplitz Matrices via Optimal Mass Transport

In this work, we propose a novel method for quantifying distances betwee...

Filip Elvander, et al. ∙

research

∙ 08/04/2017

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

The spot pricing scheme has been considered to be resource-efficient for...

Zheng Li, et al. ∙

research

∙ 08/04/2017

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...

Zheng Li, et al. ∙

research

∙ 08/04/2017

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

Software engineering considers performance evaluation to be one of the k...

Zheng Li, et al. ∙

research

∙ 01/10/2018

Combating Error Propagation in Window Decoding of Braided Convolutional Codes

In this paper, we study sliding window decoding of braided convolutional...

Min Zhu, et al. ∙

research

∙ 01/13/2018

A Scalable Belief Propagation Algorithm for Radio Signal Based SLAM

We present a simultaneous localization and mapping (SLAM) algorithm that...

Erik Leitinger, et al. ∙

research

∙ 02/28/2018

Thresholds of Braided Convolutional Codes on the AWGN Channel

In this paper, we perform a threshold analysis of braided convolutional ...

Muhammad Umar Farooq, et al. ∙

research

∙ 03/08/2018

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...

Johanna Bergman, et al. ∙

research

∙ 04/05/2018

Channel Hardening in Massive MIMO - A Measurement Based Analysis

Wireless-controlled robots, cars and other critical applications are in ...

Sara Gunnarsson, et al. ∙

research

∙ 04/12/2018

Bilateral Teleoperation of Multiple Robots under Scheduling Communication

In this paper, bilateral teleoperation of multiple slaves coupled to a s...

Yuling Li, et al. ∙

research

∙ 04/18/2018

Composite Adaptive Control for Bilateral Teleoperation Systems without Persistency of Excitation

Composite adaptive control schemes, which use both the system tracking e...

Yuling Li, et al. ∙

research

∙ 05/27/2018

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 ...

Magnus Oskarsson, et al. ∙

research

∙ 06/19/2018

Trust Anchors in Software Defined Networks

Advances in software virtualization and network processing lead to incre...

Nicolae Paladi, et al. ∙

research

∙ 08/28/2018

Fully Decentralized Massive MIMO Detection Based on Recursive Methods

Algorithms for Massive MIMO uplink detection typically rely on a central...

Jesus Rodriguez Sanchez, et al. ∙

research

∙ 09/29/2018

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...

Zhiyong Sun, et al. ∙

research

∙ 11/27/2018

Bilinear Parameterization For Differentiable Rank-Regularization

Low rank approximation is a commonly occurring problem in many computer ...

Marcus Valtonen Örnhag, et al. ∙

research

∙ 12/16/2018

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

Understanding the loss surface of neural networks is essential for the d...

Henning Petzka, et al. ∙

research

∙ 01/11/2019

Cooperative event-based rigid formation control

This paper discusses cooperative stabilization control of rigid formatio...

Zhiyong Sun, et al. ∙

research

∙ 01/19/2019

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...

Erik Mårtensson, et al. ∙

research

∙ 02/28/2019

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

This paper addresses forward motion control for trajectory tracking and ...

Xiuhui Peng, et al. ∙

research

∙ 03/13/2019

Overview of the Ugglan Entity Discovery and Linking System

Ugglan is a system designed to discover named entities and link them to ...

Marcus Klang, et al. ∙

research

∙ 03/19/2019

Massive MIMO Optimization with Compatible Sets

Massive multiple-input multiple-output (MIMO) is expected to be a vital ...

Emma Fitzgerald, et al. ∙

research

∙ 03/21/2019

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 ...

Martin Morin, et al. ∙

research

∙ 04/16/2019

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

In multiuser multiple-input multiple-output (MU-MIMO) systems, channel c...

Harsh Tataria, et al. ∙

research

∙ 06/11/2019

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

Software products are rarely developed from scratch and vulnerabilities ...

Thomas Olsson, et al. ∙

research

∙ 06/22/2019

Removing numerical dispersion from linear evolution equations

In this paper we describe a method for removing the numerical errors in ...

Jens Wittsten, et al. ∙

research

∙ 07/10/2019

Low Power Receiver Front Ends: Scaling Laws and Applications

In this paper, we combine communication-theoretic laws with known, pract...

Muris Sarajlic, et al. ∙

research

∙ 08/14/2019

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

In this paper we present new optimization formulations for maximizing th...

Emma Fitzgerald, et al. ∙

research

∙ 09/25/2019

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

In this paper we address the problem of resource allocation for alarm tr...

Emma Fitzgerald, et al. ∙

research

∙ 11/25/2019

An Iterative Interference Cancellation Algorithm for Large Intelligent Surfaces

The Large Intelligent Surface (LIS) concept is a promising technology ai...

Jesus Rodriguez Sanchez, et al. ∙

research

∙ 11/29/2019

A Reparameterization-Invariant Flatness Measure for Deep Neural Networks

The performance of deep neural networks is often attributed to their aut...

Henning Petzka, et al. ∙

LUNDS TEKNISKA HÖGSKOLA

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