Eshed Ohn-Bar

About

At Boston University, I'm heading the Human-to-Everything (H2X) Lab. Our overarching goal is to develop intelligent technologies with robust autonomy and real-time assistance capabilities. Our research spans machine intelligence, computer vision, and systems for human-machine interaction.

I'm looking for two PhD students this year. If you are interested in joining the lab to research machine learning and perception for intelligent systems, please email me your CV.

Publications 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013

In-Vehicle Hand Activity Recognition Using Integration of Regions (oral presentation)
E. Ohn-Bar and M. Trivedi, IEEE Intelligent Vehicles Symposium (IV), 2013. [pdf | bibtex]

Hand Gesture-based Visual User Interface for Infotainment (oral presentation)
E. Ohn-Bar, C. Tran, M. Trivedi, Automotive User Interfaces and Interactive Vehicular Applications (AUTO-UI), 2012. [pdf | bibtex]

Professional Activity

Area Chair

CVPR 2024, 2025

CHI 2025

ICRA 2017, 2025

IEEE Intelligent Vehicles Symposium (2017-2024)

Program Committee/Workshop Organization

Workshop on Accessibility, Vision, and Autonomy at CVPR 2022, 2023, 2024

Workshop on Human Behavior Understanding at ICCV 2019, FG 2018

Workshop on Observing and Understanding Hands at CVPR, ICCV, ECCV (2015-2019)

Workshop on Automatic Traffic Surveillance at CVPR

Reviewer

Computer Vision: CVPR, SIGGRAPH, PAMI, CVIU, CVPRW-ATS, CVPRW-HANDS, IMAVIS, T-SMC, T-CSVT, JEI

Accessibility: CHI, ASSETS, T-ACCESS

Intelligent Vehicles: IV, ITSC, T-ITS, T-VT

Robotics and Systems: HRI, IROS, T-HMS, T-IE, T-II