STRL 2022
Spatio-Temporal Reasoning and Learning 2022

Table of Contents

• 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

• Visuospatial Commonsense: On Neurosymbolic Reasoning and Learning about Space and Motion (Abstract)
  Mehul Bhatt
• Learning and Reasoning with Conceptual Space Representations (Abstract)
  Zied Bouraoui
• Neat and Scruffy: On Computational Generation and Interpretation of Spatial Descriptions (Abstract)
  Simon Dobnik

Peer-reviewed Papers

• Spatial-temporal Transformer Network with Self-supervised Learning for Traffic Flow Prediction
  Zhangzhi Peng, Xiaohui Huang
• Scene Separation & Data Selection: Temporal Segmentation Algorithm for Real-time Video Stream Analysis
  Yuelin Xin, Zihan Zhou, Yuxuan Xia
• 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
• 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
• Learning Binary Classification Rules for Sequential Data
  Marine Collery, Remy Kusters

Invited Papers

• Equivariant Graph Neural Network for Crystalline Materials (Invited Paper)
  Astrid Klipfel, Zied Bouraoui, Yaël Frégier, Adlane Sayede