Restoring Eye Contact to the Virtual Classroom with Machine Learning. - Ross Greer; Shlomo Dubnov (CSEDU (1), 2021)

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)

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)

Trajectory Prediction in Autonomous Driving With a Lane Heading Auxiliary Loss. - Ross Greer; Nachiket Deo; Mohan M. Trivedi (IEEE Robotics Autom. Lett., 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)

From Pedestrian Detection to Crosswalk Estimation: An EM Algorithm and Analysis on Diverse Datasets. - Ross Greer; Mohan M. Trivedi (CoRR, 2022)

Spectrogram-Based Deep Learning for Flute Audition Assessment and Intelligent Feedback. - Manu Agarwal; Ross Greer (ISM, 2023)

Bridging Subjectivity and Objectivity in Evaluation of Machine-Generated Jazz Music: A Multimetric Approach. - Conrad Hsu; Ross Greer (ISM, 2023)

Pedestrian Behavior Maps for Safety Advisories: CHAMP Framework and Real-World Data Analysis. - Ross Greer; Samveed Desai; Lulua Rakla; Akshay Gopalkrishnan; Afnan Alofi; Mohan M. Trivedi (IV, 2023)

Robust Traffic Light Detection Using Salience-Sensitive Loss: Computational Framework and Evaluations. - Ross Greer; Akshay Gopalkrishnan; Jacob Landgren; Lulua Rakla; Anish Gopalan; Mohan M. Trivedi (IV, 2023)

Quantifying Repetition in Symbolic Music using Lempel-Ziv Compression. - Anton Chen; Ross Greer (UEMCON, 2023)

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)

(Safe) SMART Hands: Hand Activity Analysis and Distraction Alerts Using a Multi-Camera Framework. - Ross Greer; Lulua Rakla; Anish Gopalan; Mohan M. Trivedi (CoRR, 2023)

CHAMP: Crowdsourced, History-Based Advisory of Mapped Pedestrians for Safer Driver Assistance Systems. - Ross Greer; Lulua Rakla; Samveed Desai; Afnan Alofi; Akshay Gopalkrishnan; Mohan M. Trivedi (CoRR, 2023)

Multi-View Ensemble Learning With Missing Data: Computational Framework and Evaluations using Novel Data from the Safe Autonomous Driving Domain. - Ross Greer; Lulua Rakla; Akshay Gopalkrishnan; Mohan M. Trivedi (CoRR, 2023)

Patterns of Vehicle Lights: Addressing Complexities in Curation and Annotation of Camera-Based Vehicle Light Datasets and Metrics. - Ross Greer; Akshay Gopalkrishnan; Maitrayee Keskar; Mohan M. Trivedi (CoRR, 2023)

Robust Detection, Assocation, and Localization of Vehicle Lights: A Context-Based Cascaded CNN Approach and Evaluations. - Akshay Gopalkrishnan; Ross Greer; Maitrayee Keskar; Mohan M. Trivedi (CoRR, 2023)

Comparative Assessment of Markov Models and Recurrent Neural Networks for Jazz Music Generation. - Conrad Hsu; Ross Greer (CoRR, 2023)

Transfer Learning from Simulated to Real Scenes for Monocular 3D Object Detection. - Sondos Mohamed; Walter Zimmer; Ross Greer; Ahmed Alaaeldin Ghita; Modesto Castrillón Santana; Mohan M. Trivedi; Alois Knoll; Salvatore M. Carta; Mirko Marras (ECCV Workshops (8), 2024)

Pedestrian Safety by Intent Prediction: A Lightweight LSTM-Attention Architecture and Experimental Evaluations with Real-World Datasets. - Afnan Alofi; Ross Greer; Akshay Gopalkrishnan; Mohan M. Trivedi (IV, 2024)

Learning to Find Missing Video Frames with Synthetic Data Augmentation: A General Framework and Application in Generating Thermal Images Using RGB Cameras. - Mathias Viborg Andersen; Ross Greer; Andreas Møgelmose; Mohan M. Trivedi (IV, 2024)

ActiveAnno3D - An Active Learning Framework for Multi-Modal 3D Object Detection. - Ahmed Alaaeldin Ghita; Bjørk Antoniussen; Walter Zimmer; Ross Greer; Christian Creß; Andreas Møgelmose; Mohan M. Trivedi; Alois C. Knoll (IV, 2024)

Evaluating Vision-Language Models for Zero-Shot Detection, Classification, and Association of Motorcycles, Passengers, and Helmets. - Lucas Choi; Ross Greer (VTC Fall, 2024)

The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical Exploration. - Ross Greer; Bjørk Antoniussen; Mathias V. Andersen; Andreas Møgelmose; Mohan M. Trivedi (CoRR, 2024)

Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets. - Ross Greer; Mohan M. Trivedi (CoRR, 2024)

Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving. - Akshay Gopalkrishnan; Ross Greer; Mohan M. Trivedi (CoRR, 2024)

Driver Activity Classification Using Generalizable Representations from Vision-Language Models. - Ross Greer; Mathias Viborg Andersen; Andreas Møgelmose; Mohan M. Trivedi (CoRR, 2024)

Perception Without Vision for Trajectory Prediction: Ego Vehicle Dynamics as Scene Representation for Efficient Active Learning in Autonomous Driving. - Ross Greer; Mohan M. Trivedi (CoRR, 2024)

Creativity and Visual Communication from Machine to Musician: Sharing a Score through a Robotic Camera. - Ross Greer; Laura Fleig; Shlomo Dubnov (CoRR, 2024)

Evaluating Cascaded Methods of Vision-Language Models for Zero-Shot Detection and Association of Hardhats for Increased Construction Safety. - Lucas Choi; Ross Greer (CoRR, 2024)

doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation. - Parthib Roy; Srinivasa Perisetla; Shashank Shriram; Harsha Krishnaswamy; Aryan Keskar; Ross Greer (CoRR, 2024)

Patterns of vehicle lights: Addressing complexities of camera-based vehicle light datasets and metrics. - Ross Greer; Akshay Gopalkrishnan; Maitrayee Keskar; Mohan M. Trivedi (Pattern Recognit. Lett., 2024)

Towards Safe, Human-Centered Autonomous Driving: Real-World Artificial Intelligence for Enhanced Situation Awareness and Transition Control - Ross Greer (2024)

Can Vision-Language Models Understand and Interpret Dynamic Gestures from Pedestrians? Pilot Datasets and Exploration Towards Instructive Nonverbal Commands for Cooperative Autonomous Vehicles. - Tonko E. W. Bossen; Andreas Møgelmose; Ross Greer (CVPR Workshops, 2025)

Language-Driven Active Learning for Diverse Open-Set 3D Object Detection. - Ross Greer; Bjørk Antoniussen; Andreas Møgelmose; Mohan M. Trivedi (WACV (Workshops), 2025)

Evaluating Multimodal Vision-Language Model Prompting Strategies for Visual Question Answering in Road Scene Understanding. - Aryan Keskar; Srinivasa Perisetla; Ross Greer (WACV (Workshops), 2025)

Enhancing Highway Safety: Accident Detection on the A9 Test Stretch Using Roadside Sensors. - Walter Zimmer; Ross Greer; Xingcheng Zhou; Rui Song 007; Marc Pavel; Daniel Lehmberg; Ahmed Alaaeldin Ghita; Akshay Gopalkrishnan; Mohan M. Trivedi; Alois Knoll (CoRR, 2025)

Towards Vision Zero: The Accid3nD Dataset. - Walter Zimmer; Ross Greer; Daniel Lehmberg; Marc Pavel; Holger Caesar; Xingcheng Zhou; Ahmed Alaaeldin Ghita; Mohan M. Trivedi; Rui Song 007; Hu Cao; Akshay Gopalkrishnan; Alois C. Knoll (CoRR, 2025)

Finding the Reflection Point: Unpadding Images to Remove Data Augmentation Artifacts in Large Open Source Image Datasets for Machine Learning. - Lucas Choi; Ross Greer (CoRR, 2025)

Towards a Multi-Agent Vision-Language System for Zero-Shot Novel Hazardous Object Detection for Autonomous Driving Safety. - Shashank Shriram; Srinivasa Perisetla; Aryan Keskar; Harsha Krishnaswamy; Tonko Emil Westerhof Bossen; Andreas Møgelmose; Ross Greer (CoRR, 2025)

Automated Data Curation Using GPS & NLP to Generate Instruction-Action Pairs for Autonomous Vehicle Vision-Language Navigation Datasets. - Guillermo Roque; Erika Maquiling; Jose Giovanni Tapia Lopez; Ross Greer (CoRR, 2025)

Generative AI for Autonomous Driving: Frontiers and Opportunities. - Yuping Wang; Shuo Xing; Cui Can; Renjie Li 003; Hongyuan Hua; Kexin Tian; Zhaobin Mo; Xiangbo Gao; Keshu Wu; Sulong Zhou; Hengxu You; Juntong Peng; et al. (CoRR, 2025)

Beyond General Prompts: Automated Prompt Refinement using Contrastive Class Alignment Scores for Disambiguating Objects in Vision-Language Models. - Lucas Choi; Ross Greer (CoRR, 2025)

Words as Geometric Features: Estimating Homography using Optical Character Recognition as Compressed Image Representation. - Ross Greer; Alisha Ukani; Katherine Izhikevich; Earlence Fernandes; Stefan Savage; Alex C. Snoeren (CoRR, 2025)

Evaluating Driver Perceptions of Integrated Safety Monitoring Systems for Alcohol Impairment and Distraction. - RoshikNagaSai Patibandla; Ross Greer (CoRR, 2025)

Lights as Points: Learning to Look at Vehicle Substructures With Anchor-Free Object Detection. - Maitrayee Keskar; Ross Greer; Akshay Gopalkrishnan; Nachiket Deo; Mohan M. Trivedi (IEEE Robotics Autom. Lett., 2025)

Technical Report for Argoverse2 Scenario Mining Challenges on Iterative Error Correction and Spatially-Aware Prompting. - Yifei Chen; Ross Greer (CoRR, 2025)

A New Perspective On AI Safety Through Control Theory Methodologies. - Lars Ullrich; Walter Zimmer; Ross Greer; Knut Graichen; Alois C. Knoll; Mohan M. Trivedi (CoRR, 2025)

Self-Consistency in Vision-Language Models for Precision Agriculture: Multi-Response Consensus for Crop Disease Management. - Mihir Gupta; Abhay Mangla; Ross Greer; Pratik Desai (CoRR, 2025)

Safety-Critical Learning for Long-Tail Events: The TUM Traffic Accident Dataset. - Walter Zimmer; Ross Greer; Xingcheng Zhou; Rui Song 007; Marc Pavel; Daniel Lehmberg; Ahmed Alaaeldin Ghita; Akshay Gopalkrishnan; Mohan M. Trivedi; Alois Knoll (CoRR, 2025)