Sasan Tavakkol

According to our database, Sasan Tavakkol authored at least 13 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling.

Ke Yu, Stephen Albro, Giulia DeSalvo, Suraj Kothawade, Abdullah Rashwan, Sasan Tavakkol, Kayhan Batmanghelich, Xiaoqi Yin

CoRR, 2023

Agile Modeling: Image Classification with Domain Experts in the Loop.

Otilia Stretcu, Edward Vendrow, Kenji Hata, Krishnamurthy Viswanathan, Vittorio Ferrari, Sasan Tavakkol, Wenlei Zhou, Aditya Avinash, Enming Luo, Neil Gordon Alldrin, MohammadHossein Bateni, Gabriel Berger, Andrew Bunner, Chun-Ta Lu, Javier A Rey, Ariel Fuxman

CoRR, 2023

Agile Modeling: From Concept to Classifier in Minutes.

Otilia Stretcu, Edward Vendrow, Kenji Hata, Krishnamurthy Viswanathan, Vittorio Ferrari, Sasan Tavakkol, Wenlei Zhou, Aditya Avinash, Enming Luo, Neil Gordon Alldrin, MohammadHossein Bateni, Gabriel Berger, Andrew Bunner, Chun-Ta Lu, Javier A Rey, Giulia DeSalvo, Ranjay Krishna, Ariel Fuxman

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

Adaptive third order Adams-Bashforth time integration for extended Boussinesq equations.

Sasan Tavakkol, Sangyoung Son, Patrick J. Lynett

Comput. Phys. Commun., 2021

Kartta Labs: Collaborative Time Travel.

Sasan Tavakkol, Feng Han, Brandon Mayer, Mark Phillips, Cyrus Shahabi, Yao-Yi Chiang, Raimondas Kiveris

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

2020

Celeris Base: An interactive and immersive Boussinesq-type nearshore wave simulation software.

Sasan Tavakkol, Patrick J. Lynett

Comput. Phys. Commun., 2020

An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images.

Zekun Li, Yao-Yi Chiang, Sasan Tavakkol, Basel Shbita, Johannes H. Uhl, Stefan Leyk, Craig A. Knoblock

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Piaget: A Probabilistic Inference Approach for Geolocating Historical Buildings.

Sasan Tavakkol, Cyrus Shahabi, Feng Han, Raimondas Kiveris

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Adaptive Third Order Adams-Bashforth Time Stepping Scheme for 2D Extended Boussinesq Equations.

Sasan Tavakkol, Sangyoung Son, Patrick J. Lynett

CoRR, 2019

Kartta Labs: Unrendering Historical Maps.

Sasan Tavakkol, Yao-Yi Chiang, Tim Waters, Feng Han, Kisalaya Prasad, Raimondas Kiveris

Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2019

2017

Celeris: A GPU-accelerated open source software with a Boussinesq-type wave solver for real-time interactive simulation and visualization.

Sasan Tavakkol, Patrick J. Lynett

Comput. Phys. Commun., 2017

A Review on the Applications of Crowdsourcing in Human Pathology.

Roshanak Alialy, Sasan Tavakkol, Amir Ghorbani-Aghbologhi, Alireza Ghaffarieh, Seon Ho Kim, Cyrus Shahabi

CoRR, 2017

2016

An entropy-based framework for efficient post-disaster assessment based on crowdsourced data.

Sasan Tavakkol, Hien To, Seon Ho Kim, Patrick J. Lynett, Cyrus Shahabi

Proceedings of the Second ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management, 2016