Jeffrey M. Ota

Publication Activity (10 Years)

Years Active: 2010-2019
Publications (10 Years): 7

Top Topics

Complex Objects

Learning Frameworks

Sign Recognition

Autocalibration

Top Venues

Intelligent Vehicles Symposium

IEEE Trans. Intell. Veh.

Publications

Florian Wirth, Jannik Quchl, Jeffrey M. Ota, Christoph Stiller
PointAtMe: Efficient 3D Point Cloud Labeling in Virtual Reality. IV (2019)
Zhongyi Lin, Matthew Yih, Jeffrey M. Ota, John D. Owens, Pinar Muyan-Özçelik
Benchmarking Deep Learning Frameworks and Investigating FPGA Deployment for Traffic Sign Classification and Detection. IEEE Trans. Intell. Veh. 4 (3) (2019)
Zhenzhen Weng, Paroma Varma, Alexander Masalov, Jeffrey M. Ota, Christopher Ré
Utilizing Weak Supervision to Infer Complex Objects and Situations in Autonomous Driving Data. IV (2019)
Alexander Masalov, Pavel Matrenin, Jeffrey M. Ota, Florian Wirth, Christoph Stiller, Heath Corbet, Eric Lee
Specialized Cyclist Detection Dataset: Challenging Real-World Computer Vision Dataset for Cyclist Detection Using a Monocular RGB Camera. IV (2019)
Alexerand Masalov, Jeffrey M. Ota, Heath Corbet, Eric Lee, Adam Pelley
CyDet: Improving Camera-based Cyclist Recognition Accuracy with Known Cycling Jersey Patterns. Intelligent Vehicles Symposium (2018)
Zhongyi Lin, Jeffrey M. Ota, John D. Owens, Pinar Muyan-Özçelik
Benchmarking Deep Learning Frameworks with FPGA-suitable Models on a Traffic Sign Dataset. Intelligent Vehicles Symposium (2018)
Matthew Yih, Jeffrey M. Ota, John D. Owens, Pinar Muyan-Özçelik
FPGA versus GPU for Speed-Limit-Sign Recognition. ITSC (2018)
Vladimir Glavtchev, Pinar Muyan-Özçelik, Jeffrey M. Ota, John D. Owens
Feature-based speed limit sign detection using a graphics processing unit. Intelligent Vehicles Symposium (2011)
Pinar Muyan-Özçelik, Vladimir Glavtchev, Jeffrey M. Ota, John D. Owens
A Template-Based Approach for Real-Time Speed-Limit-Sign Recognition on an Embedded System Using GPU Computing. DAGM-Symposium (2010)
Florian Homm, Nico Kaempchen, Jeffrey M. Ota, Darius Burschka
Efficient occupancy grid computation on the GPU with lidar and radar for road boundary detection. Intelligent Vehicles Symposium (2010)