Abstract: Computer-Aided Design (CAD) sketches, composed of geometric primitives and constraints, are fundamental to CAD models and play a critical role in industrial design and manufacturing.
Abstract: Graph representation learning (GRL) is fundamental in multi-graph applications like molecular property prediction. Graph neural networks (GNNs) have emerged as a popular method for GRL.
Deep Multi-task Attribute-driven Ranking for Fine-grained Sketch-based Image Retrieval BMVC 2016 Deep Sketch Hashing: Fast Free-hand Sketch-Based Image Retrieval CVPR 2017 [code] Deep Spatial-Semantic ...
The content of the final work is to explain the issue of solving certain types of quadratic congruences. The final work is focused on solving equations of parabolas and hyperbolas in finite fields, ...
Earlier this month the Mathematics Institute at Uppsala University hosted a conference called Categorification in Algebra and Topology, clearly a theme close to our collective heart. As yet there are ...
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