Sotabase

Career

· Vice President Of Machine Learning, Field AI2024–
· Senior Applied Research Scientist II, Cruise2022–2024
· Research Scientist, UW RACER Perception Lead, University of Washington2020–2022
· Computer Vision Research Intern, Microsoft2019–2019
· Computer Vision Research Intern, Intuitive2018–2018
· Graduate Research Assistant, Georgia Institute of Technology2014–2020
· Researcher, The Ohio State University2013–2014

Publications (29)

One-Shot Learning for Semantic Segmentation
British Machine Vision Conference · 2017
834
cited
MMTM: Multimodal Transfer Module for CNN Fusion
Computer Vision and Pattern Recognition · 2019
351
cited
Truncated Back-propagation for Bilevel Optimization
International Conference on Artificial Intelligence and Statistics · 2018
300
cited
Semantic Terrain Classification for Off-Road Autonomous Driving
Conference on Robot Learning · 2021
106
cited
TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation
Robotics: Science and Systems · 2023
86
cited
Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks
Neural Information Processing Systems · 2020
80
cited
From Local Similarity to Global Coding: An Application to Image Classification
2013 IEEE Conference on Computer Vision and Pattern Recognition · 2013
36
cited
Learning Latent Variable Models by Improving Spectral Solutions with Exterior Point Method
Conference on Uncertainty in Artificial Intelligence · 2015
22
cited
LiDAR-UDA: Self-ensembling Through Time for Unsupervised LiDAR Domain Adaptation
IEEE International Conference on Computer Vision · 2023
18
cited
Deep Forward and Inverse Perceptual Models for Tracking and Prediction
IEEE International Conference on Robotics and Automation · 2017
17
cited
A Robotic 3D Perception System for Operating Room Environment Awareness
arXiv.org · 2020
16
cited
Multiple-Instance Video Segmentation with Sequence-Specific Object Proposals
2017
16
cited
Pairwise Similarity Knowledge Transfer for Weakly Supervised Object Localization
European Conference on Computer Vision · 2020
15
cited
Manifold Coarse Graining for Online Semi-supervised Learning
ECML/PKDD · 2011
13
cited
Learning to Find Common Objects Across Few Image Collections
IEEE International Conference on Computer Vision · 2019
9
cited
Few-shot Weakly-Supervised Object Detection via Directional Statistics
IEEE Workshop/Winter Conference on Applications of Computer Vision · 2021
7
cited
Cascading randomized weighted majority: A new online ensemble learning algorithm
Intelligent Data Analysis · 2014
6
cited
From Local Similarities to Global Coding: A Framework for Coding Applications
IEEE Transactions on Image Processing · 2015
4
cited
Efficient Iterative Semi-supervised Classification on Manifold
2011 IEEE 11th International Conference on Data Mining Workshops · 2011
2
cited
Learning Clinical Outcomes from Heterogeneous Genomic Data Sources
2019
1
cited
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Amirreza Shaban | Researcher Profile | Sotabase | Sotabase