Ross Greer

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 37

Top Topics

Computational Framework

Object Detection

Driver Assistance

Autonomous Driving

Top Venues

IEEE Robotics Autom. Lett.

Publications

Mathias Viborg Andersen, Ross Greer, Andreas Møgelmose, Mohan M. Trivedi
Learning to Find Missing Video Frames with Synthetic Data Augmentation: A General Framework and Application in Generating Thermal Images Using RGB Cameras. CoRR (2024)
Ahmed Ghita, Bjørk Antoniussen, Walter Zimmer, Ross Greer, Christian Creß, Andreas Møgelmose, Mohan M. Trivedi, Alois C. Knoll
ActiveAnno3D - An Active Learning Framework for Multi-Modal 3D Object Detection. CoRR (2024)
Ross Greer, Akshay Gopalkrishnan, Maitrayee Keskar, Mohan M. Trivedi
Patterns of vehicle lights: Addressing complexities of camera-based vehicle light datasets and metrics. Pattern Recognit. Lett. 178 (2024)
Ross Greer, Mohan M. Trivedi
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)
Mathias Viborg Andersen, Ross Greer, Andreas Møgelmose, Mohan M. Trivedi
Learning to Find Missing Video Frames with Synthetic Data Augmentation: A General Framework and Application in Generating Thermal Images Using RGB Cameras. IV (2024)
Ross Greer, Bjørk Antoniussen, Andreas Møgelmose, Mohan M. Trivedi
Language-Driven Active Learning for Diverse Open-Set 3D Object Detection. CoRR (2024)
Ross Greer, Mohan M. Trivedi
Perception Without Vision for Trajectory Prediction: Ego Vehicle Dynamics as Scene Representation for Efficient Active Learning in Autonomous Driving. CoRR (2024)
Ross Greer, Mathias Viborg Andersen, Andreas Møgelmose, Mohan M. Trivedi
Driver Activity Classification Using Generalizable Representations from Vision-Language Models. CoRR (2024)
Akshay Gopalkrishnan, Ross Greer, Mohan M. Trivedi
Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving. CoRR (2024)
Afnan Alofi, Ross Greer, Akshay Gopalkrishnan, Mohan M. Trivedi
Pedestrian Safety by Intent Prediction: A Lightweight LSTM-Attention Architecture and Experimental Evaluations with Real-World Datasets. IV (2024)
Ross Greer, Bjørk Antoniussen, Mathias V. Andersen, Andreas Møgelmose, Mohan M. Trivedi
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)
Ahmed Ghita, Bjørk Antoniussen, Walter Zimmer, Ross Greer, Christian Creß, Andreas Møgelmose, Mohan M. Trivedi, Alois C. Knoll
ActiveAnno3D - An Active Learning Framework for Multi-Modal 3D Object Detection. IV (2024)
Ross Greer, Lulua Rakla, Samveed Desai, Afnan Alofi, Akshay Gopalkrishnan, Mohan M. Trivedi
CHAMP: Crowdsourced, History-Based Advisory of Mapped Pedestrians for Safer Driver Assistance Systems. CoRR (2023)
Manu Agarwal, Ross Greer
Spectrogram-Based Deep Learning for Flute Audition Assessment and Intelligent Feedback. ISM (2023)
Conrad Hsu, Ross Greer
Comparative Assessment of Markov Models and Recurrent Neural Networks for Jazz Music Generation. CoRR (2023)
Ross Greer, Akshay Gopalkrishnan, Maitrayee Keskar, Mohan M. Trivedi
Patterns of Vehicle Lights: Addressing Complexities in Curation and Annotation of Camera-Based Vehicle Light Datasets and Metrics. CoRR (2023)
Ross Greer, Samveed Desai, Lulua Rakla, Akshay Gopalkrishnan, Afnan Alofi, Mohan M. Trivedi
Pedestrian Behavior Maps for Safety Advisories: CHAMP Framework and Real-World Data Analysis. CoRR (2023)
Ross Greer, Akshay Gopalkrishnan, Jacob Landgren, Lulua Rakla, Anish Gopalan, Mohan M. Trivedi
Robust Traffic Light Detection Using Salience-Sensitive Loss: Computational Framework and Evaluations. CoRR (2023)
Anton Chen, Ross Greer
Quantifying Repetition in Symbolic Music using Lempel-Ziv Compression. UEMCON (2023)
Ross Greer, Akshay Gopalkrishnan, Jacob Landgren, Lulua Rakla, Anish Gopalan, Mohan M. Trivedi
Robust Traffic Light Detection Using Salience-Sensitive Loss: Computational Framework and Evaluations. IV (2023)
Akshay Gopalkrishnan, Ross Greer, Maitrayee Keskar, Mohan M. Trivedi
Robust Detection, Assocation, and Localization of Vehicle Lights: A Context-Based Cascaded CNN Approach and Evaluations. CoRR (2023)
Ross Greer, Lulua Rakla, Anish Gopalan, Mohan M. Trivedi
(Safe) SMART Hands: Hand Activity Analysis and Distraction Alerts Using a Multi-Camera Framework. CoRR (2023)
Ross Greer, Lulua Rakla, Akshay Gopalkrishnan, Mohan M. Trivedi
Multi-View Ensemble Learning With Missing Data: Computational Framework and Evaluations using Novel Data from the Safe Autonomous Driving Domain. CoRR (2023)
Ross Greer, Akshay Gopalkrishnan, Nachiket Deo, Akshay Rangesh, Mohan M. Trivedi
Salient Sign Detection In Safe Autonomous Driving: AI Which Reasons Over Full Visual Context. CoRR (2023)
Ross Greer, Nachiket Deo, Akshay Rangesh, Pujitha Gunaratne, Mohan M. Trivedi
Safe Control Transitions: Machine Vision Based Observable Readiness Index and Data-Driven Takeover Time Prediction. CoRR (2023)
Ross Greer, Samveed Desai, Lulua Rakla, Akshay Gopalkrishnan, Afnan Alofi, Mohan M. Trivedi
Pedestrian Behavior Maps for Safety Advisories: CHAMP Framework and Real-World Data Analysis. IV (2023)
Conrad Hsu, Ross Greer
Bridging Subjectivity and Objectivity in Evaluation of Machine-Generated Jazz Music: A Multimetric Approach. ISM (2023)
Ross Greer, Mohan M. Trivedi
From Pedestrian Detection to Crosswalk Estimation: An EM Algorithm and Analysis on Diverse Datasets. CoRR (2022)
Ross Greer, Jason Isa, Nachiket Deo, Akshay Rangesh, Mohan M. Trivedi
On Salience-Sensitive Sign Classification in Autonomous Vehicle Path Planning: Experimental Explorations with a Novel Dataset. WACV (Workshops) (2022)
Ross Greer, Jason Isa, Nachiket Deo, Akshay Rangesh, Mohan M. Trivedi
On Salience-Sensitive Sign Classification in Autonomous Vehicle Path Planning: Experimental Explorations with a Novel Dataset. CoRR (2021)
Ross Greer, Shlomo Dubnov
Restoring Eye Contact to the Virtual Classroom with Machine Learning. CoRR (2021)
Akshay Rangesh, Nachiket Deo, Ross Greer, Pujitha Gunaratne, Mohan M. Trivedi
Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data. CoRR (2021)
Akshay Rangesh, Nachiket Deo, Ross Greer, Pujitha Gunaratne, Mohan M. Trivedi
Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data. ITSC (2021)
Ross Greer, Shlomo Dubnov
Restoring Eye Contact to the Virtual Classroom with Machine Learning. CSEDU (1) (2021)
Akshay Rangesh, Nachiket Deo, Ross Greer, Pujitha Gunaratne, Mohan M. Trivedi
Predicting Take-over Time for Autonomous Driving with Real-World Data: Robust Data Augmentation, Models, and Evaluation. CoRR (2021)
Ross Greer, Nachiket Deo, Mohan M. Trivedi
Trajectory Prediction in Autonomous Driving With a Lane Heading Auxiliary Loss. IEEE Robotics Autom. Lett. 6 (3) (2021)
Ross Greer, Nachiket Deo, Mohan M. Trivedi
Trajectory Prediction in Autonomous Driving with a Lane Heading Auxiliary Loss. CoRR (2020)