Ross Greer
Orcid: 0000-0001-8595-0379
According to our database1,
Ross Greer
authored at least 51 papers
between 2021 and 2025.
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Bibliography
2025
CoRR, August, 2025
Self-Consistency in Vision-Language Models for Precision Agriculture: Multi-Response Consensus for Crop Disease Management.
CoRR, July, 2025
CoRR, June, 2025
Technical Report for Argoverse2 Scenario Mining Challenges on Iterative Error Correction and Spatially-Aware Prompting.
CoRR, June, 2025
Lights as Points: Learning to Look at Vehicle Substructures With Anchor-Free Object Detection.
IEEE Robotics Autom. Lett., May, 2025
Evaluating Driver Perceptions of Integrated Safety Monitoring Systems for Alcohol Impairment and Distraction.
CoRR, May, 2025
Words as Geometric Features: Estimating Homography using Optical Character Recognition as Compressed Image Representation.
CoRR, May, 2025
Beyond General Prompts: Automated Prompt Refinement using Contrastive Class Alignment Scores for Disambiguating Objects in Vision-Language Models.
CoRR, May, 2025
Automated Data Curation Using GPS & NLP to Generate Instruction-Action Pairs for Autonomous Vehicle Vision-Language Navigation Datasets.
CoRR, May, 2025
Towards a Multi-Agent Vision-Language System for Zero-Shot Novel Hazardous Object Detection for Autonomous Driving Safety.
CoRR, April, 2025
Finding the Reflection Point: Unpadding Images to Remove Data Augmentation Artifacts in Large Open Source Image Datasets for Machine Learning.
CoRR, April, 2025
Enhancing Highway Safety: Accident Detection on the A9 Test Stretch Using Roadside Sensors.
CoRR, February, 2025
Evaluating Multimodal Vision-Language Model Prompting Strategies for Visual Question Answering in Road Scene Understanding.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
Can Vision-Language Models Understand and Interpret Dynamic Gestures from Pedestrians? Pilot Datasets and Exploration Towards Instructive Nonverbal Commands for Cooperative Autonomous Vehicles.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025
2024
Towards Safe, Human-Centered Autonomous Driving: Real-World Artificial Intelligence for Enhanced Situation Awareness and Transition Control
PhD thesis, 2024
Patterns of vehicle lights: Addressing complexities of camera-based vehicle light datasets and metrics.
Pattern Recognit. Lett., 2024
doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation.
CoRR, 2024
Evaluating Cascaded Methods of Vision-Language Models for Zero-Shot Detection and Association of Hardhats for Increased Construction Safety.
CoRR, 2024
Creativity and Visual Communication from Machine to Musician: Sharing a Score through a Robotic Camera.
CoRR, 2024
Perception Without Vision for Trajectory Prediction: Ego Vehicle Dynamics as Scene Representation for Efficient Active Learning in Autonomous Driving.
CoRR, 2024
Driver Activity Classification Using Generalizable Representations from Vision-Language Models.
CoRR, 2024
Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving.
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.
CoRR, 2024
The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical Exploration.
CoRR, 2024
Evaluating Vision-Language Models for Zero-Shot Detection, Classification, and Association of Motorcycles, Passengers, and Helmets.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Learning to Find Missing Video Frames with Synthetic Data Augmentation: A General Framework and Application in Generating Thermal Images Using RGB Cameras.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Pedestrian Safety by Intent Prediction: A Lightweight LSTM-Attention Architecture and Experimental Evaluations with Real-World Datasets.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024
2023
Comparative Assessment of Markov Models and Recurrent Neural Networks for Jazz Music Generation.
CoRR, 2023
Robust Detection, Assocation, and Localization of Vehicle Lights: A Context-Based Cascaded CNN Approach and Evaluations.
CoRR, 2023
Patterns of Vehicle Lights: Addressing Complexities in Curation and Annotation of Camera-Based Vehicle Light Datasets and Metrics.
CoRR, 2023
Multi-View Ensemble Learning With Missing Data: Computational Framework and Evaluations using Novel Data from the Safe Autonomous Driving Domain.
CoRR, 2023
CHAMP: Crowdsourced, History-Based Advisory of Mapped Pedestrians for Safer Driver Assistance Systems.
CoRR, 2023
(Safe) SMART Hands: Hand Activity Analysis and Distraction Alerts Using a Multi-Camera Framework.
CoRR, 2023
Safe Control Transitions: Machine Vision Based Observable Readiness Index and Data-Driven Takeover Time Prediction.
CoRR, 2023
Salient Sign Detection In Safe Autonomous Driving: AI Which Reasons Over Full Visual Context.
CoRR, 2023
Proceedings of the 14th IEEE Annual Ubiquitous Computing, 2023
Robust Traffic Light Detection Using Salience-Sensitive Loss: Computational Framework and Evaluations.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Pedestrian Behavior Maps for Safety Advisories: CHAMP Framework and Real-World Data Analysis.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Bridging Subjectivity and Objectivity in Evaluation of Machine-Generated Jazz Music: A Multimetric Approach.
Proceedings of the IEEE International Symposium on Multimedia, 2023
Spectrogram-Based Deep Learning for Flute Audition Assessment and Intelligent Feedback.
Proceedings of the IEEE International Symposium on Multimedia, 2023
2022
From Pedestrian Detection to Crosswalk Estimation: An EM Algorithm and Analysis on Diverse Datasets.
CoRR, 2022
On Salience-Sensitive Sign Classification in Autonomous Vehicle Path Planning: Experimental Explorations with a Novel Dataset.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022
2021
IEEE Robotics Autom. Lett., 2021
Predicting Take-over Time for Autonomous Driving with Real-World Data: Robust Data Augmentation, Models, and Evaluation.
CoRR, 2021
Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Proceedings of the 13th International Conference on Computer Supported Education, 2021