1 citations · 3 across the 7 of their papers we have counts for
8 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…
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…
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…