24 citations · 47 across the 14 of their papers we have counts for
7 papers · 1 filter
Challenges and Opportunities in Rapid Epidemic Information Propagation with Live Knowledge Aggregation from Social Media
Calton Pu, Abhijit Suprem, Rodrigo Alves Lima
A rapidly evolving situation such as the COVID-19 pandemic is a significant challenge for AI/ML models because of its unpredictability. %The most reliable indicator of the pandemic…
EDNA-Covid: A Large-Scale Covid-19 Tweets Dataset Collected with the EDNA Streaming Toolkit
Abhijit Suprem, Calton Pu
The Covid-19 pandemic has fundamentally altered many facets of our lives. With nationwide lockdowns and stay-at-home advisories, conversations about the pandemic have naturally mov…
ODIN: Automated Drift Detection and Recovery in Video Analytics
Abhijit Suprem, Joy Arulraj, Calton Pu +1
Recent advances in computer vision have led to a resurgence of interest in visual data analytics. Researchers are developing systems for effectively and efficiently analyzing visua…
Looking GLAMORous: Vehicle Re-Id in Heterogeneous Cameras Networks with Global and Local Attention
Abhijit Suprem, Calton Pu
Vehicle re-identification (re-id) is a fundamental problem for modern surveillance camera networks. Existing approaches for vehicle re-id utilize global features and local features…
Small, Accurate, and Fast Vehicle Re-ID on the Edge: the SAFR Approach
Abhijit Suprem, Calton Pu, Joao Eduardo Ferreira
We propose a Small, Accurate, and Fast Re-ID (SAFR) design for flexible vehicle re-id under a variety of compute environments such as cloud, mobile, edge, or embedded devices by on…
EventMapper: Detecting Real-World Physical Events Using Corroborative and Probabilistic Sources
Abhijit Suprem, Calton Pu
The ubiquity of social media makes it a rich source for physical event detection, such as disasters, and as a potential resource for crisis management resource allocation. There ha…