59 citations · 102 across the 8 of their papers we have counts for
10 papers
Designing a Sequential Recommendation System for Heterogeneous Interactions Using Transformers
Mehdi Soleiman Nejad, Meysam Varasteh, Hadi Moradi +1
While many production-ready and robust algorithms are available for the task of recommendation systems, many of these systems do not take the order of user's consumption into accou…
Updating Street Maps using Changes Detected in Satellite Imagery
Favyen Bastani, Songtao He, Satvat Jagwani +5
Accurately maintaining digital street maps is labor-intensive. To address this challenge, much work has studied automatically processing geospatial data sources such as GPS traject…
An Improved Hybrid Recommender System: Integrating Document Context-Based and Behavior-Based Methods
Meysam Varasteh, Mehdi Soleiman Nejad, Hadi Moradi +2
One of the main challenges in recommender systems is data sparsity which leads to high variance. Several attempts have been made to improve the bias-variance trade-off using auxili…
Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding
Songtao He, Favyen Bastani, Satvat Jagwani +6
Inferring road graphs from satellite imagery is a challenging computer vision task. Prior solutions fall into two categories: (1) pixel-wise segmentation-based approaches, which pr…
RoadTagger: Robust Road Attribute Inference with Graph Neural Networks
Songtao He, Favyen Bastani, Satvat Jagwani +7
Inferring road attributes such as lane count and road type from satellite imagery is challenging. Often, due to the occlusion in satellite imagery and the spatial correlation of ro…
Inferring and Improving Street Maps with Data-Driven Automation
Favyen Bastani, Songtao He, Satvat Jagwani +7
Street maps are a crucial data source that help to inform a wide range of decisions, from navigating a city to disaster relief and urban planning. However, in many parts of the wor…