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Songtao He

5 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 ↗
2021

Self-Supervised Multi-Object Tracking with Cross-input Consistency

Favyen Bastani, Songtao He, Samuel Madden
NeurIPS 2021poster

In this paper, we propose a self-supervised learning procedure for training a robust multi-object tracking (MOT) model given only unlabeled video. While several self-supervisory learning signals have been proposed in prior work on single-object tracking, such as color propagation and cycle-consisten…

Cited by 35Source ↗PDF ↗code ↗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

Park: An Open Platform for Learning-Augmented Computer Systems

Hongzi Mao, Parimarjan Negi, Akshay Narayan, Hanrui Wang, Jiacheng Yang, Haonan Wang +11
NeurIPS 2019poster

We present Park, a platform for researchers to experiment with Reinforcement Learning (RL) for computer systems. Using RL for improving the performance of systems has a lot of potential, but is also in many ways very different from, for example, using RL for games. Thus, in this work we first disc…

Cited by 112Source ↗PDF ↗code ↗Scholar ↗
2018

RoadTracer: Automatic Extraction of Road Networks From Aerial Images

Favyen Bastani, Songtao He, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla +2
CVPR 2018poster

Mapping road networks is currently both expensive and labor-intensive. High-resolution aerial imagery provides a promising avenue to automatically infer a road network. Prior work uses convolutional neural networks (CNNs) to detect which pixels belong to a road (segmentation), and then uses complex…

Cited by 391Source ↗PDF ↗Scholar ↗