activity
20162022
most citedReal-world Video Adaptation with Reinforcement Learning

45 citations · 150 across the 15 of their papers we have counts for

collaborators

33 papers

cs.NI20223 cited

Coded Transaction Broadcasting for High-throughput Blockchains

Lei Yang, Yossi Gilad, Mohammad Alizadeh

High-throughput blockchains require efficient transaction broadcast mechanisms that can deliver transactions to most network nodes with low bandwidth overhead and latency. Existing…

cs.NI20222 cited

Optimal Congestion Control for Time-varying Wireless Links

Prateesh Goyal, Mohammad Alizadeh, Thomas E. Anderson

Modern networks exhibit a high degree of variability in link rates. Cellular network bandwidth inherently varies with receiver motion and orientation, while class-based packet sche…

cs.CV20215 cited

Updating Street Maps using Changes Detected in Satellite Imagery

Favyen Bastani, Songtao He, Satvat Jagwani +5

Accurately maintaining digital street maps is labor-intensive. To address this challenge, much work has studied automatically processing geospatial data sources such as GPS traject…

cs.CY2021

Throughput-Fairness Tradeoffs in Mobility Platforms

Arjun Balasingam, Karthik Gopalakrishnan, Radhika Mittal +5

This paper studies the problem of allocating tasks from different customers to vehicles in mobility platforms, which are used for applications like food and package delivery, rides…

cs.CV2021

Efficient Video Compression via Content-Adaptive Super-Resolution

Mehrdad Khani, Vibhaalakshmi Sivaraman, Mohammad Alizadeh

Video compression is a critical component of Internet video delivery. Recent work has shown that deep learning techniques can rival or outperform human-designed algorithms, but the…

cs.CV2021

TagMe: GPS-Assisted Automatic Object Annotation in Videos

Songtao He, Favyen Bastani, Mohammad Alizadeh +4

Training high-accuracy object detection models requires large and diverse annotated datasets. However, creating these data-sets is time-consuming and expensive since it relies on h…