Jeffrey M. Ota

According to our database, Jeffrey M. Ota authored at least 10 papers between 2010 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Benchmarking Deep Learning Frameworks and Investigating FPGA Deployment for Traffic Sign Classification and Detection.

Zhongyi Lin, Matthew Yih, Jeffrey M. Ota, John D. Owens, Pinar Muyan-Özçelik

IEEE Trans. Intell. Veh., 2019

PointAtMe: Efficient 3D Point Cloud Labeling in Virtual Reality.

Florian Wirth, Jannik Quehl, Jeffrey M. Ota, Christoph Stiller

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Utilizing Weak Supervision to Infer Complex Objects and Situations in Autonomous Driving Data.

Zhenzhen Weng, Paroma Varma, Alexander Masalov, Jeffrey M. Ota, Christopher Ré

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Specialized Cyclist Detection Dataset: Challenging Real-World Computer Vision Dataset for Cyclist Detection Using a Monocular RGB Camera.

Alexander Masalov, Pavel Matrenin, Jeffrey M. Ota, Florian Wirth, Christoph Stiller, Heath Corbet, Eric Lee

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

2018

CyDet: Improving Camera-based Cyclist Recognition Accuracy with Known Cycling Jersey Patterns.

Alexerand Masalov, Jeffrey M. Ota, Heath Corbet, Eric Lee, Adam Pelley

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Benchmarking Deep Learning Frameworks with FPGA-suitable Models on a Traffic Sign Dataset.

Zhongyi Lin, Jeffrey M. Ota, John D. Owens, Pinar Muyan-Özçelik

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

FPGA versus GPU for Speed-Limit-Sign Recognition.

Matthew Yih, Jeffrey M. Ota, John D. Owens, Pinar Muyan-Özçelik

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2011

Feature-based speed limit sign detection using a graphics processing unit.

Vladimir Glavtchev, Pinar Muyan-Özçelik, Jeffrey M. Ota, John D. Owens

Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2011

2010

Efficient occupancy grid computation on the GPU with lidar and radar for road boundary detection.

Florian Homm, Nico Kaempchen, Jeffrey M. Ota, Darius Burschka

Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2010

A Template-Based Approach for Real-Time Speed-Limit-Sign Recognition on an Embedded System Using GPU Computing.

Pinar Muyan-Özçelik, Vladimir Glavtchev, Jeffrey M. Ota, John D. Owens

Proceedings of the Pattern Recognition, 2010