8 citations · 21 across the 5 of their papers we have counts for
5 papers
Enabling High-Level Machine Reasoning with Cognitive Neuro-Symbolic Systems
Alessandro Oltramari
High-level reasoning can be defined as the capability to generalize over knowledge acquired via experience, and to exhibit robust behavior in novel situations. Such form of reasoni…
Traffic-Domain Video Question Answering with Automatic Captioning
Ehsan Qasemi, Jonathan M. Francis, Alessandro Oltramari
Video Question Answering (VidQA) exhibits remarkable potential in facilitating advanced machine reasoning capabilities within the domains of Intelligent Traffic Monitoring and Inte…
A Study of Situational Reasoning for Traffic Understanding
Jiarui Zhang, Filip Ilievski, Kaixin Ma +3
Intelligent Traffic Monitoring (ITMo) technologies hold the potential for improving road safety/security and for enabling smart city infrastructure. Understanding traffic situation…
Intelligent Traffic Monitoring with Hybrid AI
Ehsan Qasemi, Alessandro Oltramari
Challenges in Intelligent Traffic Monitoring (ITMo) are exacerbated by the large quantity and modalities of data and the need for the utilization of state-of-the-art (SOTA) reasone…
Coalescing Global and Local Information for Procedural Text Understanding
Kaixin Ma, Filip Ilievski, Jonathan Francis +2
Procedural text understanding is a challenging language reasoning task that requires models to track entity states across the development of a narrative. A complete procedural unde…