Text to Blind Motion
H. Kim, K. Sengupta, M. Kuribayashi, H. Kacorri, E. Ohn-Bar
Neural Information Processing Systems (NeurIPS), 2024

Scalable Early Childhood Reading Performance Prediction
Z. Shangguan, Z. Huang, E. Ohn-Bar, O. Ozernov-Palchik, D. Kosty, M. Stoolmiller, H. Fien
Neural Information Processing Systems (NeurIPS), 2024

Unified Local-Cloud Decision-Making via Reinforcement Learning
K. Sengupta, Z. Shangguan, S. Bharadwaj, S. Arora, E. Ohn-Bar, and R. Mancuso
European Conference on Computer Vision (ECCV), 2024
[project page]

Neural Volumetric World Models for Autonomous Driving
Z. Huang, J. Zhang, and E. Ohn-Bar
European Conference on Computer Vision (ECCV), 2024
[project page]

Motion Diversification Networks
H. Kim and E. Ohn-Bar
Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[project page]

Feedback-Guided Autonomous Driving (highlight, top 2.8% of submissions)
J. Zhang, Z. Huang, A. Ray, and E. Ohn-Bar
Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[project page]

Uncertainty-Guided Never-Ending Learning to Drive
L. Lai, E. Ohn-Bar, S. Arora, and J. Yi
Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[project page]

Learning to Drive Anywhere
R. Zhu, P. Huang, E. Ohn-Bar, and V. Saligrama
Conference on Robot Learning (CoRL), 2023
[project page]

XVO: Generalized Visual Odometry via Cross-Modal Self-Training
L. Lai, Z. Shangguan, J. Zhang, and E. Ohn-Bar
International Conference on Computer Vision (ICCV), 2023
[project page]

Coaching a Teachable Student (highlight, top 2.6% of submissions)
J. Zhang, Z. Huang, and E. Ohn-Bar
Computer Vision and Pattern Recognition (CVPR), 2023
[project page]

ASSISTER: Assistive Navigation via Conditional Instruction Generation
Z. Huang*, Z. Shangguan*, J. Zhang, G. Bar, M. Boyd, and E. Ohn-Bar
European Conference on Computer Vision (ECCV), 2022
[code]

SelfD: Self-Learning Large-Scale Driving Policies From the Web
J. Zhang, R. Zhu, and E. Ohn-Bar
Computer Vision and Pattern Recognition (CVPR), 2022
[data]

X-World: Accessibility, Vision, and Autonomy Meet
J. Zhang*, M. Zheng*, M. Boyd, and E. Ohn-Bar
International Conference on Computer Vision (ICCV), 2021
[evaluation server and data]

Learning by Watching
J. Zhang and E. Ohn-Bar
Computer Vision and Pattern Recognition (CVPR), 2021

Learning Situational Driving
E. Ohn-Bar, A. Prakash, A. Behl, K. Chitta, and A. Geiger
Computer Vision and Pattern Recognition (CVPR), 2020

Exploring Data Aggregation in Policy Learning for Vision-based Urban Autonomous Driving
A. Prakash, A. Behl, E. Ohn-Bar, K. Chitta, and A. Geiger
Computer Vision and Pattern Recognition (CVPR), 2020

Label Efficient Visual Abstractions for Autonomous Driving
A. Behl, K. Chitta, A. Prakash, E. Ohn-Bar, and A. Geiger
International Conference on Intelligent Robots and Systems (IROS), 2020

Virtual Navigation for Blind People: Transferring Route Knowledge to the Real-World
J. Guerreiro, D. Sato, D. Ahmetovic, E. Ohn-Bar, K. Kitani, and C. Asakawa
International Journal of Human-Computer Studies (IJHCS), 2020

Learning Context-Dependent Personal Preferences for Adaptive Recommendation
K. Higuchi, H. Tsuchida, E. Ohn-Bar, Y. Sato, and K. Kitani
ACM Transaction on Interactive Intelligent Systems (T-IIS), 2020

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]

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]

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]

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]

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]

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]

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]