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Vol-3190
urn:nbn:de:0074-3190-4
Copyright © 2022 for
the individual papers by the papers' authors.
Copyright © 2022 for the volume
as a collection by its editors.
This volume and its papers are published under the
Creative Commons License Attribution 4.0 International
(CC BY 4.0).
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STRL 2022
Spatio-Temporal Reasoning and Learning 2022
Proceedings of the 1st International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2022)
co-located with the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI 2022, ECAI 2022)
Vienna, Austria, July 24, 2022.
Edited by
*
University of Bamberg,
Faculty of Information Systems and Applied Computer Sciences, Bamberg, Germany
**
Southwest Jiaotong University,
School of Computing and Artificial Intelligence, Chengdu, China
***
University of Leeds,
School of Computing, Leeds, United Kingdom
****
Australian National University,
School of Computing, CECS, Canberra, Australia
Table of Contents
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Preface
Summary: There were 7 papers submitted for peer-review to this workshop. Out of these,
5 papers were accepted for this volume,
4 as regular papers and
1 as short paper.
Finally, the proceedings were supplemented with 3 keynotes and 1 invited paper.
Keynotes
Peer-reviewed Papers
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Spatial-temporal Transformer Network with Self-supervised Learning for Traffic Flow Prediction
Zhangzhi Peng,
Xiaohui Huang
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Scene Separation & Data Selection: Temporal Segmentation Algorithm for Real-time Video Stream Analysis
Yuelin Xin,
Zihan Zhou,
Yuxuan Xia
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Uncertainty-aware Evaluation of Time-series Classification for Online Handwriting Recognition with Domain Shift
Andreas Klaß,
Sven M. Lorenz,
Martin W. Lauer-Schmaltz,
David Rügamer,
Bernd Bischl,
Christopher Mutschler,
Felix Ott
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Knowing Earlier What Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-task Learning
Kyra Ahrens,
Matthias Kerzel,
Jae Hee Lee,
Cornelius Weber,
Stefan Wermter
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Learning Binary Classification Rules for Sequential Data
Marine Collery,
Remy Kusters
Invited Papers
2022-07-22: submitted by Michael Sioutis,
metadata incl. bibliographic data published under Creative Commons CC0
2022-08-19: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)
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