Hand gesture-based visual user interface for infotainment. - Eshed Ohn-Bar; Cuong Tran 001; Mohan M. Trivedi (AutomotiveUI, 2012)

Joint Angles Similarities and HOG2 for Action Recognition. - Eshed Ohn-Bar; Mohan M. Trivedi (CVPR Workshops, 2013)

The Power Is in Your Hands: 3D Analysis of Hand Gestures in Naturalistic Video. - Eshed Ohn-Bar; Mohan M. Trivedi (CVPR Workshops, 2013)

Panoramic stitching for driver assistance and applications to motion saliency-based risk analysis. - Alfredo Ramirez; Eshed Ohn-Bar; Mohan M. Trivedi (ITSC, 2013)

Partially occluded vehicle recognition and tracking in 3D. - Eshed Ohn-Bar; Sayanan Sivaraman; Mohan M. Trivedi (Intelligent Vehicles Symposium, 2013)

In-vehicle hand activity recognition using integration of regions. - Eshed Ohn-Bar; Mohan M. Trivedi (Intelligent Vehicles Symposium, 2013)

Driver hand activity analysis in naturalistic driving studies: challenges, algorithms, and experimental studies. - Eshed Ohn-Bar; Sujitha Martin; Mohan Manubhai Trivedi (J. Electronic Imaging, 2013)

Fast and Robust Object Detection Using Visual Subcategories. - Eshed Ohn-Bar; Mohan M. Trivedi (CVPR Workshops, 2014)

Vision on Wheels: Looking at Driver, Vehicle, and Surround for On-Road Maneuver Analysis. - Eshed Ohn-Bar; Ashish Tawari; Sujitha Martin; Mohan M. Trivedi (CVPR Workshops, 2014)

Head, Eye, and Hand Patterns for Driver Activity Recognition. - Eshed Ohn-Bar; Sujitha Martin; Ashish Tawari; Mohan M. Trivedi (ICPR, 2014)

Go with the Flow: Improving Multi-view Vehicle Detection with Motion Cues. - Alfredo Ramirez; Eshed Ohn-Bar; Mohan M. Trivedi (ICPR, 2014)

Beyond just keeping hands on the wheel: Towards visual interpretation of driver hand motion patterns. - Eshed Ohn-Bar; Mohan M. Trivedi (ITSC, 2014)

Understanding head and hand activities and coordination in naturalistic driving videos. - Sujitha Martin; Eshed Ohn-Bar; Ashish Tawari; Mohan M. Trivedi (Intelligent Vehicles Symposium, 2014)

Predicting driver maneuvers by learning holistic features. - Eshed Ohn-Bar; Ashish Tawari; Sujitha Martin; Mohan M. Trivedi (Intelligent Vehicles Symposium, 2014)

Integrating motion and appearance for overtaking vehicle detection. - Alfredo Ramirez; Eshed Ohn-Bar; Mohan M. Trivedi (Intelligent Vehicles Symposium, 2014)

Hand Gesture Recognition in Real Time for Automotive Interfaces: A Multimodal Vision-Based Approach and Evaluations. - Eshed Ohn-Bar; Mohan Manubhai Trivedi (IEEE Trans. Intell. Transp. Syst., 2014)

On Performance Evaluation of Driver Hand Detection Algorithms: Challenges, Dataset, and Metrics. - Nikhil Das; Eshed Ohn-Bar; Mohan M. Trivedi (ITSC, 2015)

Automatic Critical Event Extraction and Semantic Interpretation by Looking-Inside. - Sujitha Martin; Eshed Ohn-Bar; Mohan M. Trivedi (ITSC, 2015)

An Exploration of Why and When Pedestrian Detection Fails. - Rakesh Nattoji Rajaram; Eshed Ohn-Bar; Mohan M. Trivedi (ITSC, 2015)

Can appearance patterns improve pedestrian detection? - Eshed Ohn-Bar; Mohan M. Trivedi (Intelligent Vehicles Symposium, 2015)

A comparative study of color and depth features for hand gesture recognition in naturalistic driving settings. - Eshed Ohn-Bar; Mohan M. Trivedi (Intelligent Vehicles Symposium, 2015)

Looking outside of the Box: Object Detection and Localization with Multi-scale Patterns. - Eshed Ohn-Bar; Mohan M. Trivedi (CoRR, 2015)

On surveillance for safety critical events: In-vehicle video networks for predictive driver assistance systems. - Eshed Ohn-Bar; Ashish Tawari; Sujitha Martin; Mohan M. Trivedi (Comput. Vis. Image Underst., 2015)

Learning to Detect Vehicles by Clustering Appearance Patterns. - Eshed Ohn-Bar; Mohan Manubhai Trivedi (IEEE Trans. Intell. Transp. Syst., 2015)

Hidden Hands: Tracking Hands with an Occlusion Aware Tracker. - Akshay Rangesh; Eshed Ohn-Bar; Mohan M. Trivedi (CVPR Workshops, 2016)

Preparatory coordination of head, eyes and hands: Experimental study at intersections. - Sujitha Martin; Akshay Rangesh; Eshed Ohn-Bar; Mohan M. Trivedi (ICPR, 2016)

Detection and localization with multi-scale models. - Eshed Ohn-Bar; Mohan M. Trivedi (ICPR, 2016)

To boost or not to boost? On the limits of boosted trees for object detection. - Eshed Ohn-Bar; Mohan M. Trivedi (ICPR, 2016)

What makes an on-road object important? - Eshed Ohn-Bar; Mohan M. Trivedi (ICPR, 2016)

Multi-perspective vehicle detection and tracking: Challenges, dataset, and metrics. - Jacob V. Dueholm; Miklas S. Kristoffersen; Ravi Kumar Satzoda; Eshed Ohn-Bar; Thomas B. Moeslund; Mohan M. Trivedi (ITSC, 2016)

Surround vehicles trajectory analysis with recurrent neural networks. - Aida Khosroshahi; Eshed Ohn-Bar; Mohan Manubhai Trivedi (ITSC, 2016)

A study of vehicle detector generalization on U.S. highway. - Rakesh Nattoji Rajaram; Eshed Ohn-Bar; Mohan M. Trivedi (ITSC, 2016)

RefineNet: Iterative refinement for accurate object localization. - Rakesh Nattoji Rajaram; Eshed Ohn-Bar; Mohan M. Trivedi (ITSC, 2016)

Pedestrians and their phones - detecting phone-based activities of pedestrians for autonomous vehicles. - Akshay Rangesh; Eshed Ohn-Bar; Kevan Yuen; Mohan M. Trivedi (ITSC, 2016)

Driver hand localization and grasp analysis: A vision-based real-time approach. - Siddharth 001; Akshay Rangesh; Eshed Ohn-Bar; Mohan M. Trivedi (ITSC, 2016)

The rhythms of head, eyes and hands at intersections. - Sujitha Martin; Akshay Rangesh; Eshed Ohn-Bar; Mohan M. Trivedi (Intelligent Vehicles Symposium, 2016)

Looking at Pedestrians at Different Scales: A Multiresolution Approach and Evaluations. - Rakesh Nattoji Rajaram; Eshed Ohn-Bar; Mohan Manubhai Trivedi (IEEE Trans. Intell. Transp. Syst., 2016)

Long-Term Multi-Cue Tracking of Hands in Vehicles. - Akshay Rangesh; Eshed Ohn-Bar; Mohan Manubhai Trivedi (IEEE Trans. Intell. Transp. Syst., 2016)

Looking at Humans in the Age of Self-Driving and Highly Automated Vehicles. - Eshed Ohn-Bar; Mohan Manubhai Trivedi (IEEE Trans. Intell. Veh., 2016)

RefineNet: Refining Object Detectors for Autonomous Driving. - Rakesh Nattoji Rajaram; Eshed Ohn-Bar; Mohan Manubhai Trivedi (IEEE Trans. Intell. Veh., 2016)

Multi-scale volumes for deep object detection and localization. - Eshed Ohn-Bar; Mohan Manubhai Trivedi (Pattern Recognit., 2017)

Are all objects equal? Deep spatio-temporal importance prediction in driving videos. - Eshed Ohn-Bar; Mohan Manubhai Trivedi (Pattern Recognit., 2017)

Contextual Visual Object Recognition and Behavior Modeling for Human-Robot Interactivity. - Eshed Ohn-Bar (2017)

Environmental Factors in Indoor Navigation Based on Real-World Trajectories of Blind Users. - Hernisa Kacorri; Eshed Ohn-Bar; Kris M. Kitani; Chieko Asakawa (CHI, 2018)

Personalized Dynamics Models for Adaptive Assistive Navigation Systems. - Eshed Ohn-Bar; Kris Kitani; Chieko Asakawa (CoRL, 2018)

Modeling Expertise in Assistive Navigation Interfaces for Blind People. - Eshed Ohn-Bar; João Guerreiro 002; Dragan Ahmetovic; Kris M. Kitani; Chieko Asakawa (IUI, 2018)

How Context and User Behavior Affect Indoor Navigation Assistance for Blind People. - João Guerreiro 002; Eshed Ohn-Bar; Dragan Ahmetovic; Kris M. Kitani; Chieko Asakawa (W4A, 2018)

SmartPartNet: Part-Informed Person Detection for Body-Worn Smartphones. - Heng Yu 005; Eshed Ohn-Bar; Donghyun Yoo; Kris M. Kitani (WACV, 2018)

Personalized Dynamics Models for Adaptive Assistive Navigation Interfaces. - Eshed Ohn-Bar; Kris M. Kitani; Chieko Asakawa (CoRR, 2018)

Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning. - Xinlei Pan; Eshed Ohn-Bar; Nicholas Rhinehart; Yan Xu; Yilin Shen; Kris M. Kitani (CoRR, 2018)

Variability in Reactions to Instructional Guidance during Smartphone-Based Assisted Navigation of Blind Users. - Eshed Ohn-Bar; João Guerreiro 002; Kris Kitani; Chieko Asakawa (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

A-EXP4: Online Social Policy Learning for Adaptive Robot-Pedestrian Interaction. - Pengju Jin; Eshed Ohn-Bar; Kris Kitani; Chieko Asakawa (IROS, 2019)

Forecasting Time-to-Collision from Monocular Video: Feasibility, Dataset, and Challenges. - Aashi Manglik; Xinshuo Weng; Eshed Ohn-Bar; Kris M. Kitani (IROS, 2019)

Impact of Expertise on Interaction Preferences for Navigation Assistance of Visually Impaired Individuals. - Dragan Ahmetovic; João Guerreiro 002; Eshed Ohn-Bar; Kris M. Kitani; Chieko Asakawa (W4A, 2019)

Future Near-Collision Prediction from Monocular Video: Feasibility, Dataset, and Challenges. - Aashi Manglik; Xinshuo Weng; Eshed Ohn-Bar; Kris M. Kitani (CoRR, 2019)

Learning Situational Driving. - Eshed Ohn-Bar; Aditya Prakash 001; Aseem Behl; Kashyap Chitta; Andreas Geiger 001 (CVPR, 2020)

Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving. - Aditya Prakash 001; Aseem Behl; Eshed Ohn-Bar; Kashyap Chitta; Andreas Geiger 001 (CVPR, 2020)

Label Efficient Visual Abstractions for Autonomous Driving. - Aseem Behl; Kashyap Chitta; Aditya Prakash 001; Eshed Ohn-Bar; Andreas Geiger 001 (IROS, 2020)

Virtual navigation for blind people: Transferring route knowledge to the real-World. - João Guerreiro 002; Daisuke Sato 001; Dragan Ahmetovic; Eshed Ohn-Bar; Kris M. Kitani; Chieko Asakawa (Int. J. Hum. Comput. Stud., 2020)

Learning Context-dependent Personal Preferences for Adaptive Recommendation. - Keita Higuchi; Hiroki Tsuchida; Eshed Ohn-Bar; Yoichi Sato 001; Kris Kitani (ACM Trans. Interact. Intell. Syst., 2020)

Learning by Watching. - Jimuyang Zhang; Eshed Ohn-Bar (CVPR, 2021)

X-World: Accessibility, Vision, and Autonomy Meet. - Jimuyang Zhang; Minglan Zheng; Matthew Boyd; Eshed Ohn-Bar (ICCV, 2021)

SelfD: Self-Learning Large-Scale Driving Policies From the Web. - Jimuyang Zhang; Ruizhao Zhu; Eshed Ohn-Bar (CVPR, 2022)

ASSISTER: Assistive Navigation via Conditional Instruction Generation. - Zanming Huang; Zhongkai Shangguan; Jimuyang Zhang; Gilad Bar; Matthew Boyd; Eshed Ohn-Bar (ECCV (36), 2022)

Learning to Drive Anywhere. - Ruizhao Zhu; Peng Huang; Eshed Ohn-Bar; Venkatesh Saligrama (CoRL, 2023)

Coaching a Teachable Student. - Jimuyang Zhang; Zanming Huang; Eshed Ohn-Bar (CVPR, 2023)

XVO: Generalized Visual Odometry via Cross-Modal Self-Training. - Lei Lai; Zhongkai Shangguan; Jimuyang Zhang; Eshed Ohn-Bar (ICCV, 2023)

Motion Diversification Networks. - Hee Jae Kim; Eshed Ohn-Bar (CVPR, 2024)

Uncertainty-Guided Never-Ending Learning to Drive. - Lei Lai; Eshed Ohn-Bar; Sanjay Arora; John Seon Keun Yi (CVPR, 2024)

Feedback-Guided Autonomous Driving. - Jimuyang Zhang; Zanming Huang; Arijit Ray; Eshed Ohn-Bar (CVPR, 2024)

Neural Volumetric World Models for Autonomous Driving. - Zanming Huang; Jimuyang Zhang; Eshed Ohn-Bar (ECCV (17), 2024)

Unified Local-Cloud Decision-Making via Reinforcement Learning. - Kathakoli Sengupta; Zhongkai Shangguan; Sandesh Bharadwaj; Sanjay Arora; Eshed Ohn-Bar; Renato Mancuso 001 (ECCV (41), 2024)

Text to Blind Motion. - Hee Jae Kim; Kathakoli Sengupta; Masaki Kuribayashi; Hernisa Kacorri; Eshed Ohn-Bar (NeurIPS, 2024)

Scalable Early Childhood Reading Performance Prediction. - Zhongkai Shangguan; Zanming Huang; Eshed Ohn-Bar; Ola Ozernov-Palchik; Derek Kosty; Michael Stoolmiller; Hank Fien (NeurIPS, 2024)

UniLCD: Unified Local-Cloud Decision-Making via Reinforcement Learning. - Kathakoli Sengupta; Zhongkai Shangguan; Sandesh Bharadwaj; Sanjay Arora; Eshed Ohn-Bar; Renato Mancuso 001 (CoRR, 2024)

ZeroVO: Visual Odometry with Minimal Assumptions. - Lei Lai; Zekai Yin; Eshed Ohn-Bar (CVPR, 2025)