Eshed Ohn-Bar

Humboldt Research Fellow
Max Planck Institute for Intelligent Systems
Email: eohnbar [at] gmail [dot] com

About | Bio | News | Research | Publications | Professional Activity | Scholar

About me

My research is in machine intelligence for real-world, embodied, assistive and autonomous systems. Specifically, I have developed and evaluated learning, perception, planning, and control systems for safety-critical applications in navigation and transportation–including autonomous driving and assisted navigation to people with visual impairments.

Bio

Eshed Ohn-Bar is a Humboldt research fellow in the Autonomous Vision Group at MPI-IS. Previously, he was a post-doc at the Computer Vision Group and Cognitive Assistance Lab in the Robotics Institute at CMU. His work has been awarded the 2017 best PhD dissertation award from the IEEE Intelligent Transportation Systems Society, a double best Piero Zamperoni student paper award honorable mention at ICPR 2016, the best industry related paper award finalist at ICPR 2014, and the best paper award at the IEEE Workshop on Analysis and Modeling of Faces and Gestures at CVPR 2013. He co-organized several workshops on hand activity modeling and vision-based challenges for intelligent vehicles at CVPR, ICCV, and IV conferences. Eshed received the BS degree in mathematics from UCLA in 2010, MEd from UCLA in 2011, and the PhD degree in electrical engineering from UCSD in 2017.



News

Research (click one)


Publications 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013

2019

A-EXP4: Online Social Policy Learning for Adaptive Robot-Pedestrian Interaction
P. Jin, E. Ohn-Bar, K. Kitani, and C. Asakawa
International Conference on Intelligent Robots and Systems (IROS), 2019
[pdf | bibtex]


Forecasting Time-To-Collision from Monocular Video: Feasibility, Dataset, and Challenges
A. Manglik, X. Weng, E. Ohn-Bar, and K. Kitani
International Conference on Intelligent Robots and Systems (IROS), 2019
[pdf | demo | code | project | bibtex]


Towards Understanding Interaction of Visually Impaired Navigators with Surrounding Pedestrians
E. Ohn-Bar, J. Guerreiro, D. Ahmetovic, K. Kitani, and C. Asakawa
H-Augmented Workshop, Robotics: Science and Systems (RSS), 2019
[pdf | bibtex]



Impact of Expertise on Interaction Preferences for Navigation Assistance of Visually Impaired Individuals
D. Ahmetovic, J. Guerreiro, E. Ohn-Bar, K. Kitani, and C. Asakawa
Web for All Conference (W4A), 2019
Best Paper Award
[pdf | bibtex]

2018

Personalized Dynamics Models for Adaptive Assistive Navigation Systems (oral presentation)
E. Ohn-Bar, K. Kitani, and C. Asakawa
2nd Conference on Robot Learning (CoRL), Proceedings of Machine Learning Research, 2018 Acceptance rate: ~7%
[pdf | data | bibtex]

Variability in Reactions to Instructional Guidance during Smartphone-Based Assisted Navigation of Blind Users
E. Ohn-Bar, J. Guerreiro, K. Kitani, and C. Asakawa
International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp / IMWUT), 2018 Acceptance rate: ~20%
[pdf | bibtex]

Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning
X. Pan, E. Ohn-Bar, N. Rhinehart, Y. Xu, Y. Shen, and K. M. Kitani
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018 Acceptance rate: 25%
[pdf | bibtex]

How Context and User Behavior Affect Indoor Navigation Assistance for Blind People
J. Guerreiro, E. Ohn-Bar, D. Ahmetovic, K. Kitani, and C. Asakawa
Web for All Conference (W4A), 2018
[pdf | bibtex]

Modeling Expertise in Assistive Navigation Interfaces for Blind People
E. Ohn-Bar, J. Guerreiro, D. Ahmetovic, K. Kitani, and C. Asakawa
International Conference on Intelligent User Interfaces (IUI), 2018 Acceptance rate: 23%
[pdf | bibtex]

Environmental Factors in Indoor Navigation Based on Real-World Trajectories of Blind Users
H. Kacorri, E. Ohn-Bar, K. Kitani, and C. Asakawa
Conference on Human Factors in Computing Systems (CHI), 2018 Acceptance rate: 26%
[pdf | bibtex]

SmartPartNet: Part-Informed Person Detection for Body-Worn Smartphones
H. Yu, E. Ohn-Bar, D. Yoo, and K. Kitani
Winter Conf. on Applications of Computer Vision (WACV), 2018 Acceptance rate: 37%
[pdf | bibtex]


2017

Are All Objects Equal? Deep Spatio-Temporal Importance Prediction in Driving Videos
E. Ohn-Bar and M. Trivedi
Pattern Recognition (PR), 2017 Impact factor: 5.898
[pdf | data and code | project | bibtex]

RefineNet: Refining Object Detectors for Autonomous Driving
R. N. Rajaram, E. Ohn-Bar, and M. Trivedi
IEEE Transactions on Intelligent Vehicles (T-IV), 2017
[pdf | bibtex]

Contextual Visual Object Recognition and Behavior Modeling for Human-Robot Interactivity
E. Ohn-Bar
PhD Thesis, 2017
[pdf]

Multi-scale Volumes for Deep Object Detection and Localization
E. Ohn-Bar and M. Trivedi
Pattern Recognition (PR), 2017 Impact factor: 5.898
[pdf | data | bibtex]

2016

Looking at Humans in the Age of Self-Driving and Highly Automated Vehicles
E. Ohn-Bar and M. Trivedi
IEEE Transactions on Intelligent Vehicles (T-IV), 2016
[pdf | bibtex]

Long-term, Multi-Cue Tracking of Hands in Vehicles
A. Rangesh, E. Ohn-Bar, and M. Trivedi
IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2016 Impact factor: 5.74
[pdf | data | bibtex]

Looking at Pedestrians at Different Scales: A Multiresolution Approach and Evaluations
R. N. Rajaram, E. Ohn-Bar, and M. Trivedi
IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2016 Impact factor: 5.74
[pdf | bibtex]

What Makes an On-road Object Important? (oral presentation)
E. Ohn-Bar and M. Trivedi
IEEE International Conference on Pattern Recognition (ICPR), 2016 Acceptance rate: 14%
Best student paper award finalist
[pdf | data and code | project | bibtex]


To Boost or Not to Boost? On the Limits of Boosted Trees for Object Detection (oral presentation)
E. Ohn-Bar and M. Trivedi
IEEE International Conference on Pattern Recognition (ICPR), 2016 Acceptance rate: 14%
Best student paper award finalist
[pdf | Models, Results on Caltech/FDDB/WIDER and training code | bibtex]


RefineNet: Iterative Refinement for Accurate Object Localization
R. N. Rajaram, E. Ohn-Bar, and M. Trivedi
IEEE Intelligent Transportation Systems Conference (ITSC), 2016
[pdf | bibtex]

Surround Vehicles Trajectory Analysis with Recurrent Neural Networks
A. Khosroshahi, E. Ohn-Bar, and M. Trivedi
IEEE Intelligent Transportation Systems Conference (ITSC), 2016
[pdf | bibtex]


Pedestrians and their Phones - Detecting Phone-based Activities of Pedestrians for Autonomous Vehicles
A. Rangesh, E. Ohn-Bar, K. Yuen, and M. Trivedi
IEEE Intelligent Transportation Systems Conference (ITSC), 2016
[pdf | bibtex]

Multi-Perspective Vehicle Detection and Tracking: Challenges, Dataset, and Metrics
J. V. Dueholm, M. S. Kristoffersen, R. Satzoda, E. Ohn-Bar, T. B. Moeslund, and M. Trivedi
IEEE Intelligent Transportation Systems Conference (ITSC), 2016
[pdf | bibtex]

Detection and Localization with Multi-scale Models (oral presentation)
E. Ohn-Bar and M. Trivedi
IEEE International Conference on Pattern Recognition (ICPR), 2016 Acceptance rate: 14%
[pdf | bibtex]

2015

On Surveillance for Safety Critical Events: In-Vehicle Video Networks for Predictive Driver Assistance Systems
E. Ohn-Bar, A. Tawari, S. Martin, and M. Trivedi
Computer Vision and Image Understanding (CVIU), 2015 Impact factor: 2.77
[pdf | bibtex]

Learning to Detect Vehicles by Clustering Appearance Patterns
E. Ohn-Bar and M. Trivedi
IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2015 Impact factor: 5.74
[pdf (with supplementary) | code | bibtex]

On Performance Evaluation of Driver Hand Detection Algorithms: Challenges, Dataset, and Metrics
N. Das, E. Ohn-Bar, and M. Trivedi
IEEE Conference on Intelligent Transportation Systems (ITSC), 2015
[pdf | data | bibtex]

An Exploration of Why and When Pedestrian Detection Fails
R. N. Rajaram, E. Ohn-Bar, and M. Trivedi
IEEE Conference on Intelligent Transportation Systems (ITSC), 2015
[pdf | bibtex]


A Comparative Study of Color and Depth Features for Hand Gesture Recognition in Naturalistic Driving Settings
E. Ohn-Bar and M. Trivedi
IEEE Intelligent Vehicles Symposium (IV), 2015
[pdf | bibtex]


Can Appearance Patterns Improve Pedestrian Detection?
E. Ohn-Bar and M. Trivedi
IEEE Intelligent Vehicles Symposium (IV), 2015
[pdf | bibtex]

2014

Hand Gesture Recognition in Real-Time for Automotive Interfaces: A Multimodal Vision-based Approach and Evaluations
E. Ohn-Bar and M. Trivedi
IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2014 Impact factor: 5.74
[pdf | bibtex]


Beyond Just Keeping Hands on the Wheel: Towards Visual Interpretation of Driver Hand Motion Patterns
E. Ohn-Bar and M. Trivedi
IEEE Conference on Intelligent Transportation Systems (ITSC), 2014
[pdf | bibtex]


Vision on Wheels: Looking at Driver, Vehicle, and Surround for On-Road Maneuver Analysis (oral presentation)
E. Ohn-Bar, A. Tawari, S. Martin, and M. Trivedi
Mobile Vision Workshop, IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2014
[pdf | bibtex]

Head, Eye, and Hand Patterns for Driver Activity Recognition (oral presentation)
E. Ohn-Bar, S. Martin, A. Tawari, and M. Trivedi
IEEE International Conference on Pattern Recognition (ICPR), 2014 Acceptance rate: 14%
Best Industry Related Paper Award Runner Up
[pdf | bibtex]


Fast and Robust Object Detection Using Visual Subcategories (oral presentation)
E. Ohn-Bar and M. Trivedi
Mobile Vision Workshop, IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2014
[pdf | code | bibtex]

Predicting Driver Maneuvers by Learning Holistic Features
E. Ohn-Bar, A. Tawari, S. Martin, and M. Trivedi
IEEE Intelligent Vehicles Symposium (IV), 2014
[pdf | bibtex]

Go with the Flow: Improving Multi-View Vehicle Detection with Motion Cues
A. Ramirez, E. Ohn-Bar, and M. Trivedi
IEEE International Conference on Pattern Recognition (ICPR), 2014
[pdf | bibtex]

2013

Driver Hand Activity Analysis in Naturalistic Driving Studies: Issues, Algorithms and Experimental Studies
E. Ohn-Bar, S. Martin, and M. Trivedi
Journal of Electronic Imaging: Special Section on Video Surveillance and Transportation Imaging Applications (JEI), 2013
[pdf | bibtex]

Joint Angles Similarities and HOG2 for Action Recognition (oral presentation)
E. Ohn-Bar and M. Trivedi
Human Activity Understanding from 3D Data Workshop, IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2013
[pdf | code | slides | bibtex]

The Power is in Your Hands: 3D Analysis of Hand Gestures in Naturalistic Video (oral presentation, Best Paper Award)
E. Ohn-Bar and M. Trivedi
Analysis and Modeling of Faces and Gestures Workshop, IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2013 Acceptance rate: 30%
[pdf | dataset | slides | bibtex]


Partially Occluded Vehicle Recognition and Tracking in 3D
E. Ohn-Bar, S. Sivaraman, and M. Trivedi
IEEE Intelligent Vehicles Symposium (IV), 2013
[pdf | poster | bibtex]

  • 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


    Associate Editor
  • IEEE International Conference on Robotics and Automation
  • IEEE Intelligent Vehicles Symposium

    Program Committee/Workshop Organization
  • 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: ASSETS, T-ACCESS
  • Intelligent Vehicles: IV, ITSC, T-ITS, T-VT
  • Robotics and Systems: HRI, IROS, T-HMS, T-IE, T-II