3 citations · 6 across the 10 of their papers we have counts for
11 papers
Dynamic Minimax Regret Optimization for Robust LLM Post-Training
Chengbo Zang, Haoyu Dong, Mehmet Kerem Turkcan +3
Modern LLM training increasingly relies on heterogeneous data sources spanning different domains, tasks, preference distributions, and difficulty levels. We study dynamic minimax r…
ASTRA: Low-Overhead Runtime Architecture for STReam Adaptation in Video Analytics
Mahshid Ghasemi, Zoran Kostic, Javad Ghaderi +1
Real-time video analytics is crucial for smart city applications and cloud-connected vehicle control. To improve analytics accuracy, it is desirable to process the video at the hig…
Denial of Deadline: Network-Driven Accuracy Collapse in Distributed Inference Pipelines
Jhonatan Tavori, Gur-Eyal Sela, Ion Stoica +1
Inference systems increasingly combine a fast path that returns predictions within the application's latency deadline together with a higher-accuracy slow path that runs higher-com…
Multi-Pedestrian Safety Warning at Urban Intersections Use Case of Digital Twin
Yongjie Fu, Qi Gao, Mahshid Ghasemi Dehkordi +2
Digital twins (DTs) for urban transportation systems have gained increasing attention; however, their systematic evaluation in safety-critical scenarios remains limited. This paper…
A Vision-Based Analysis of Congestion Pricing in New York City
Mehmet Kerem Turkcan, Jhonatan Tavori, Javad Ghaderi +3
We examine the impact of New York City's congestion pricing program through automated analysis of traffic camera data. Our computer vision pipeline processes footage from over 900…
AI-Powered CPS-Enabled Vulnerable-User-Aware Urban Transportation Digital Twin: Methods and Applications
Yongjie Fu, Mehmet K. Turkcan, Mahshid Ghasemi +6
We present methods and applications for the development of digital twins (DT) for urban traffic management. While the majority of studies on the DT focus on its ``eyes," which is t…
The Streetscape Application Services Stack (SASS): Towards a Distributed Sensing Architecture for Urban Applications
Navid Salami Pargoo, Mahshid Ghasemi, Shuren Xia +8
As urban populations grow, cities are becoming more complex, driving the deployment of interconnected sensing systems to realize the vision of smart cities. These systems aim to im…
Boundless: Generating Photorealistic Synthetic Data for Object Detection in Urban Streetscapes
Mehmet Kerem Turkcan, Yuyang Li, Chengbo Zang +3
We introduce Boundless, a photo-realistic synthetic data generation system for enabling highly accurate object detection in dense urban streetscapes. Boundless can replace massive…
Data-Driven Traffic Simulation for an Intersection in a Metropolis
Chengbo Zang, Mehmet Kerem Turkcan, Gil Zussman +2
We present a novel data-driven simulation environment for modeling traffic in metropolitan street intersections. Using real-world tracking data collected over an extended period of…
Constellation Dataset: Benchmarking High-Altitude Object Detection for an Urban Intersection
Mehmet Kerem Turkcan, Sanjeev Narasimhan, Chengbo Zang +6
We introduce Constellation, a dataset of 13K images suitable for research on detection of objects in dense urban streetscapes observed from high-elevation cameras, collected for a…
StreetNav: Leveraging Street Cameras to Support Precise Outdoor Navigation for Blind Pedestrians
Gaurav Jain, Basel Hindi, Zihao Zhang +12
Blind and low-vision (BLV) people rely on GPS-based systems for outdoor navigation. GPS's inaccuracy, however, causes them to veer off track, run into obstacles, and struggle to re…