501 citations
- University of WaterlooCA11 papers
- University of TorontoCA9 papers
- Institut de Mathématiques de BordeauxFR6 papers
- Institut de recherche mathématique de RennesFR6 papers
- Tsinghua UniversityCN6 papers
- Laboratoire de Mathématiques et Physique ThéoriqueFR5 papers
- Sapienza University of RomeIT5 papers
- Carleton UniversityCA4 papers
- Imperial College LondonGB4 papers
- University of KansasUS4 papers
- York UniversityCA4 papers
- Zhengzhou UniversityCN4 papers
9 papers · 1 filter
Understanding transit ridership in an equity context through a comparison of statistical and machine learning algorithms
Elnaz Yousefzadeh Barri, Steven Farber, Hadi Jahanshahi +1
Building an accurate model of travel behaviour based on individuals' characteristics and built environment attributes is of importance for policy-making and transportation planning…
Digital Twin-Empowered Network Planning for Multi-Tier Computing
Conghao Zhou, Jie Gao, Mushu Li +3
In this paper, we design a resource management scheme to support stateful applications, which will be prevalent in 6G networks. Different from stateless applications, stateful appl…
Using Quantum Computers to Speed Up Dynamic Testing of Software
Andriy Miranskyy
Software under test can be analyzed dynamically, while it is being executed, to find defects. However, as the number and possible values of input parameters increase, the cost of d…
Robust 3D Vision for Autonomous Robots
Farhad Aghili
This paper presents a fault-tolerant 3D vision system for autonomous robotic operation. In particular, pose estimation of space objects is achieved using 3D vision data in an integ…
Can transit investments in low-income neighbourhoods increase transit use? Exploring the nexus of income, car-ownership, and transit accessibility in Toronto
Elnaz Yousefzadeh Barri, Steven Farber, Anna Kramer +3
Transportation equity advocates recommend improving public transit in low-income neighbourhoods to alleviate socio-spatial inequalities and increase quality of life. However, trans…
Semantic keypoint-based pose estimation from single RGB frames
Karl Schmeckpeper, Philip R. Osteen, Yufu Wang +6
This paper presents an approach to estimating the continuous 6-DoF pose of an object from a single RGB image. The approach combines semantic keypoints predicted by a convolutional…