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)

In-vehicle Hand Gesture Recognition using Hidden Markov models. - Nachiket Deo; Akshay Rangesh; 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)

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

On generalizing driver gaze zone estimation using convolutional neural networks. - Sourabh Vora; Akshay Rangesh; Mohan M. Trivedi (Intelligent Vehicles Symposium, 2017)

A Multimodal, Full-Surround Vehicular Testbed for Naturalistic Studies and Benchmarking: Design, Calibration and Deployment. - Akshay Rangesh; Kevan Yuen; Ravi Kumar Satzoda; Rakesh Nattoji Rajaram; Pujitha Gunaratne; Mohan M. Trivedi (CoRR, 2017)

HandyNet: A One-Stop Solution to Detect, Segment, Localize & Analyze Driver Hands. - Akshay Rangesh; Mohan M. Trivedi (CVPR Workshops, 2018)

3D Bounding Boxes for Road Vehicles: A One-Stage, Localization Prioritized Approach Using Single Monocular Images. - Ishan Gupta; Akshay Rangesh; Mohan M. Trivedi (ECCV Workshops (5), 2018)

Exploring the Situational Awareness of Humans inside Autonomous Vehicles. - Akshay Rangesh; Nachiket Deo; Kevan Yuen; Kirill Pirozhenko; Pujitha Gunaratne; Heishiro Toyoda; Mohan M. Trivedi (ITSC, 2018)

When Vehicles See Pedestrians with Phones: A Multi-Cue Framework for Recognizing Phone-based Activities of Pedestrians. - Akshay Rangesh; Mohan M. Trivedi (CoRR, 2018)

No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles using Cameras & LiDARs. - Akshay Rangesh; Mohan M. Trivedi (CoRR, 2018)

How Would Surround Vehicles Move? A Unified Framework for Maneuver Classification and Motion Prediction. - Nachiket Deo; Akshay Rangesh; Mohan M. Trivedi (IEEE Trans. Intell. Veh., 2018)

When Vehicles See Pedestrians With Phones: A Multicue Framework for Recognizing Phone-Based Activities of Pedestrians. - Akshay Rangesh; Mohan Manubhai Trivedi (IEEE Trans. Intell. Veh., 2018)

Driver Gaze Zone Estimation Using Convolutional Neural Networks: A General Framework and Ablative Analysis. - Sourabh Vora; Akshay Rangesh; Mohan Manubhai Trivedi (IEEE Trans. Intell. Veh., 2018)

On Control Transitions in Autonomous Driving: A Framework and Analysis for Characterizing Scene Complexity. - Nachiket Deo; Nasha Meoli; Akshay Rangesh; Mohan M. Trivedi (ICCV Workshops, 2019)

Forced Spatial Attention for Driver Foot Activity Classification. - Akshay Rangesh; Mohan M. Trivedi (ICCV Workshops, 2019)

3D BAT: A Semi-Automatic, Web-based 3D Annotation Toolbox for Full-Surround, Multi-Modal Data Streams. - Walter Zimmer; Akshay Rangesh; Mohan M. Trivedi (IV, 2019)

No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles Using Cameras and LiDARs. - Akshay Rangesh; Mohan Manubhai Trivedi (IEEE Trans. Intell. Veh., 2019)

Driver Gaze Estimation in the Real World: Overcoming the Eyeglass Challenge. - Akshay Rangesh; Bowen Zhang; Mohan M. Trivedi (IV, 2020)

Ground Plane Polling for 6DoF Pose Estimation of Objects on the Road. - Akshay Rangesh; Mohan Manubhai Trivedi (IEEE Trans. Intell. Veh., 2020)

Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data. - Akshay Rangesh; Nachiket Deo; Ross Greer; Pujitha Gunaratne; Mohan M. Trivedi (ITSC, 2021)

TrackMPNN: A Message Passing Graph Neural Architecture for Multi-Object Tracking. - Akshay Rangesh; Pranav Maheshwari; Mez Gebre; Siddhesh Mhatre; Vahid Ramezani; Mohan M. Trivedi (CoRR, 2021)

Predicting Take-over Time for Autonomous Driving with Real-World Data: Robust Data Augmentation, Models, and Evaluation. - Akshay Rangesh; Nachiket Deo; Ross Greer; Pujitha Gunaratne; Mohan M. Trivedi (CoRR, 2021)

LaneAF: Robust Multi-Lane Detection With Affinity Fields. - Hala Abualsaud; Sean Liu; David Lu; Kenny Situ; Akshay Rangesh; Mohan M. Trivedi (IEEE Robotics Autom. Lett., 2021)

Intelligent Human-in-the-Loop Vehicular Automation with Real-Time Vision Models. - Akshay Rangesh (2021)

On Salience-Sensitive Sign Classification in Autonomous Vehicle Path Planning: Experimental Explorations with a Novel Dataset. - Ross Greer; Jason Isa; Nachiket Deo; Akshay Rangesh; Mohan M. Trivedi (WACV (Workshops), 2022)

Gaze Preserving CycleGANs for Eyeglass Removal and Persistent Gaze Estimation. - Akshay Rangesh; Bowen Zhang; Mohan Manubhai Trivedi (IEEE Trans. Intell. Veh., 2022)

Salient Sign Detection In Safe Autonomous Driving: AI Which Reasons Over Full Visual Context. - Ross Greer; Akshay Gopalkrishnan; Nachiket Deo; Akshay Rangesh; Mohan M. Trivedi (CoRR, 2023)

Safe Control Transitions: Machine Vision Based Observable Readiness Index and Data-Driven Takeover Time Prediction. - Ross Greer; Nachiket Deo; Akshay Rangesh; Pujitha Gunaratne; Mohan M. Trivedi (CoRR, 2023)