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Mohammad Amin Sadeghi

3 accepted papers

2021

Inferring High-Resolution Traffic Accident Risk Maps Based on Satellite Imagery and GPS Trajectories

Songtao He, Mohammad Amin Sadeghi, Sanjay Chawla, Mohammad Alizadeh, Hari Balakrishnan, Samuel Madden
ICCV 2021poster

Traffic accidents cost about 3% of the world's GDP and are the leading cause of death in children and young adults. Accident risk maps are useful tools to monitor and mitigate accident risk. We present a technique to generate high-resolution (5 meters) accident risk maps. At this high resolution, ac…

Cited by 32PDF ↗Scholar ↗
2020

Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding

Songtao He, Favyen Bastani, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla +3
ECCV 2020poster

Inferring road graphs from satellite imagery is a challenging computer vision task. Prior solutions fall into two categories: (1) pixel-wise segmentation-based approaches, which predict whether each pixel is on a road, and (2) graph-based approaches, which predict the road graph iteratively. We find…

Cited by 109Source ↗PDF ↗Scholar ↗
2019

Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors

Mohammad Mahdi Derakhshani, Saeed Masoudnia, Amir Hossein Shaker, Omid Mersa, Mohammad Amin Sadeghi, Mohammad Rastegari +1
CVPR 2019poster

We present a simple yet effective learning technique that significantly improves mAP of YOLO object detectors without compromising their speed. During network training, we carefully feed in localization information. We excite certain activations in order to help the network learn to better localize…

Cited by 39PDF ↗Scholar ↗