BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//WASP - ECPv6.16.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://wasp-sweden.org
X-WR-CALDESC:Events for WASP
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:+01:00
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BEGIN:VEVENT
DTSTART;TZID=+01:00:20251010T131500
DTEND;TZID=+01:00:20251010T235900
DTSTAMP:20260601T135813
CREATED:20250908T084946Z
LAST-MODIFIED:20260601T083737Z
UID:10000081-1760102100-1760140740@wasp-sweden.org
SUMMARY:PhD Defense: Sparse Multi-View Computer Vision for 3D Human and Scene Understanding
DESCRIPTION:Welcome to the doctoral defense of Olivier Moliner \nDate and time: 10 October\, 13:15 \nLocation: MH: Hörmander\, Lund University \nDoctoral student: Olivier Moliner \nTitle: Sparse Multi-View Computer Vision for 3D Human and Scene Understanding \nOriginal location: MH: Hörmander\, Lund University
URL:https://wasp-sweden.org/event/phd-defense-sparse-multi-view-computer-vision-for-3d-human-and-scene-understanding/
LOCATION:MH:Hörmander\, E:A\, Centre for Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University\, MH:Hörmander\, E:A\, Centre for Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University\, Lund\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250228T131500
DTEND;TZID=+01:00:20250228T235900
DTSTAMP:20260601T135813
CREATED:20250130T154847Z
LAST-MODIFIED:20260601T083756Z
UID:10000135-1740748500-1740787140@wasp-sweden.org
SUMMARY:PhD Defense: Towards Zero Bottlenecks for Scaling Autonomous Driving
DESCRIPTION:Welcome to the doctoral defense of Adam Tonderski \nDate and time: February 28\, 13:15 \nLocation: Lecture Hall MH:Hörmander\, Centre for Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University \nDoctoral student: Adam Tonderski\, Computer Vision and Machine Learning\, Centre for Mathematical Sciences\, Lund University & Zenseact \nTitle: Towards Zero Bottlenecks for Scaling Autonomous Driving \nSupervisors: Kalle Åström\, Professor\, Computer Vision and Machine Learning\, Centre for Mathematical Sciences\, Lund University and Christoffer Petersson\, Zenseact \nOpponent: Felix Heide\, Professor\, Princeton University \nOriginal location: Lecture Hall MH:Hörmander\, Centre for Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University
URL:https://wasp-sweden.org/event/phd-defense-towards-zero-bottlenecks-for-scaling-autonomous-driving/
LOCATION:MH:Hörmander\, E:A\, Centre for Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University\, MH:Hörmander\, E:A\, Centre for Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University\, Lund\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250207T131500
DTEND;TZID=+01:00:20250207T235900
DTSTAMP:20260601T135813
CREATED:20250110T145133Z
LAST-MODIFIED:20260601T083758Z
UID:10000140-1738934100-1738972740@wasp-sweden.org
SUMMARY:PhD Defense: Machine Learning for Perception and Localization: Efficient and Invariant Methods
DESCRIPTION:Welcome to the doctoral defense of Axel Berg \nDate and time: February 7\, 13:15 \nLocation: Lecture Hall MH:Hörmander\, Centre of Mathematical Sciences\, Märkesbacken 4\, Faculty of Engineering LTH\, Lund University\, Lund. Zoom: https://lu-se.zoom.us/j/66823653847 \nDoctoral student: Axel Berg\, Computer Vision and Machine Learning\, Centre for Mathematical Sciences\, Lund University\, and Arm \nTitle: Machine Learning for Perception and Localization: Efficient and Invariant Methods \nSupervisors: Associate Professor Magnus Oskarsson and Professor Kalle Åström\, Lund University\, and Dr. Chuteng Zhou\, Arm \nOpponent: Professor Jesper Rindom Jensen\, Aalborg University \nOriginal location: Lecture Hall MH:Hörmander\, Lund University\, & online
URL:https://wasp-sweden.org/event/phd-defense-machine-learning-for-perception-and-localization-efficient-and-invariant-methods/
LOCATION:MH:Hörmander\, E:A\, Centre for Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University\, MH:Hörmander\, E:A\, Centre for Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University\, Lund\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250131T130000
DTEND;TZID=+01:00:20250131T235900
DTSTAMP:20260601T135813
CREATED:20250110T143135Z
LAST-MODIFIED:20260601T083759Z
UID:10000141-1738328400-1738367940@wasp-sweden.org
SUMMARY:PhD Defense: Convergence and Stability Analysis of Stochastic Optimization Algorithms
DESCRIPTION:Welcome to the doctoral defense of Måns Williamson \nDate and time: January 31\, 13:00 \nLocation: Lecture Hall Hörmander\, Centre for Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University\, Lund \nDoctoral student: Måns Williamson\, Applied Mathematics\, Centre for Mathematical Sciences\, Lund University \nTitle: Convergence and Stability Analysis of Stochastic Optimization Algorithms \nMain supervisor: Associate Professor Tony Stillfjord\, Applied Mathematics\, Centre for Mathematical Sciences\, Lund University \nOpponent: Professor Konstantinos C. Zygalakis\, University of Edinburgh\, United Kingdom \nOriginal location: Lecture Hall Hörmander\, Centre for Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University
URL:https://wasp-sweden.org/event/phd-defense-convergence-and-stability-analysis-of-stochastic-optimization-algorithms/
LOCATION:MH:Hörmander\, E:A\, Centre for Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University\, MH:Hörmander\, E:A\, Centre for Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University\, Lund\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20240913T130000
DTEND;TZID=+01:00:20240913T235900
DTSTAMP:20260601T135813
CREATED:20240910T094130Z
LAST-MODIFIED:20260601T083809Z
UID:10000167-1726232400-1726271940@wasp-sweden.org
SUMMARY:PhD Defense: Modelling and analysis of multi-scale networks
DESCRIPTION:Welcome to the Doctoral Defense of Henrik Ekström \nDate and time: September 13\, 13:00 \nLocation: MH: Hörmander\, Lund University\, and online (see link below) \nDoctoral student: Henrik Ekström\, Mathematical Statistics\, Lund University \nTitle: Modelling and analysis of multi-scale networks \nMain supervisor: Tatyana Turova\, Mathematical Statistics\, Lund University \nOpponent: Jakob Björnberg\, Senior Lecturer\, Mathematical Sciences\, Chalmers University of Technology and University of Gothenburg \nOriginal location: MH: Hörmander & online
URL:https://wasp-sweden.org/event/phd-defense-modelling-and-analysis-of-multi-scale-networks/
LOCATION:MH:Hörmander\, E:A\, Centre for Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University\, MH:Hörmander\, E:A\, Centre for Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University\, Lund\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20240315T131500
DTEND;TZID=+01:00:20240315T235900
DTSTAMP:20260601T135813
CREATED:20240226T082739Z
LAST-MODIFIED:20260601T083821Z
UID:10000195-1710508500-1710547140@wasp-sweden.org
SUMMARY:PhD Defense: Evaluating and Improving Rendered Visual Experiences: Metrics\, Compression\, Higher Frame Rates & Recoloring
DESCRIPTION:Welcome to the Doctoral Defense of Pontus Ebelin \nDate and time: March 15\, 13:15\n \nLocation: Lecture Hall Hörmander\, Centre of Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University\, Lund \nDoctoral student: Pontus Ebelin\, NVIDIA and the Division of Computer Vision and Machine Learning\, Lund University \nTitle: Evaluating and Improving Rendered Visual Experiences: Metrics\, Compression\, Higher Frame Rates & Recoloring \nMain supervisors: Karl Åström\, Professor\, Division of Computer Vision and Machine Learning\, Lund University\, and Tomas Akenine-Möller\, Distinguished Research Scientist\, NVIDIA and Professor\, Lund University \nOpponent:  Veronica Sundstedt\, Associate Professor\, Blekinge Institute of Technology \nOriginal location: Lecture Hall MH:Hörmander\, Centre for Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University
URL:https://wasp-sweden.org/event/phd-defense-evaluating-and-improving-rendered-visual-experiences-metrics-compression-higher-frame-rates-recoloring/
LOCATION:MH:Hörmander\, E:A\, Centre for Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University\, MH:Hörmander\, E:A\, Centre for Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University\, Lund\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20230602T131500
DTEND;TZID=+01:00:20230602T235900
DTSTAMP:20260601T135813
CREATED:20230509T125949Z
LAST-MODIFIED:20260601T083834Z
UID:10000229-1685711700-1685750340@wasp-sweden.org
SUMMARY:PhD Defense: Applications in Monocular Computer Vision using Geometry and Learning: Map Merging\, 3D Reconstruction and Detection of Geometric Primitives
DESCRIPTION:Welcome to the Doctoral Defense of David Gillsjö\n \nDate and time: June 2\, 13:15\n \nLocation: Lecture Hall MH:Hörmander\, Centre for Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University\, Lund \nDoctoral student: David Gillsjö\, Division of Computer Vision and Machine Learning\, Centre for Mathematical Science\, Lund University \nTitle: Applications in Monocular Computer Vision using Geometry and Learning: Map Merging\, 3D Reconstruction and Detection of Geometric Primitives \nSupervisor: Professor Kalle Åström\, Division of Computer Vision and Machine Learning\, Centre for Mathematical Science\, Lund University \nOpponent: Professor Atsuto Maki\, KTH Royal Institute of Technology \nOriginal location: Lecture Hall MH:Hörmander\, Centre for Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University
URL:https://wasp-sweden.org/event/phd-defense-applications-in-monocular-computer-vision-using-geometry-and-learning-map-merging-3d-reconstruction-and-detection-of-geometric-primitives/
LOCATION:MH:Hörmander\, E:A\, Centre for Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University\, MH:Hörmander\, E:A\, Centre for Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University\, Lund\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20230113T101500
DTEND;TZID=+01:00:20230113T235900
DTSTAMP:20260601T135813
CREATED:20230112T101430Z
LAST-MODIFIED:20260601T083839Z
UID:10000242-1673604900-1673654340@wasp-sweden.org
SUMMARY:PhD Defense: Active and Physics-Based Human Pose Reconstruction
DESCRIPTION:Welcome to the Doctoral Defense of Erik Gärtner\n \nDate and time: January 13\, 10:15\n \nLocation: Hörmander\, Centre for Mathematical Sciences\, Sölvegatan 18\, LTH Faculty of Engineering\, Lund\, Sweden \nDoctoral student: Erik Gärtner\, Centre for Mathematical Sciences\, Lund University \nTitle: Active and Physics-Based Human Pose Reconstruction \nSupervisor: Professor Cristian Sminchisescu\, Centre for Mathematical Sciences\, Lund University \nOpponent: Fahad Khan\, Associate Professor\, Linköping University \nOriginal location: Hörmander\, Centre for Mathematical Sciences\, Sölvegatan 18\, LTH Faculty of Engineering\, Lund\, Sweden
URL:https://wasp-sweden.org/event/phd-defense-active-and-physics-based-human-pose-reconstruction/
LOCATION:MH:Hörmander\, E:A\, Centre for Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University\, MH:Hörmander\, E:A\, Centre for Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University\, Lund\, Sweden
END:VEVENT
END:VCALENDAR