We developed a system which detects and tracks rough paths despite widely varying tread material, border vegetation, and illumination conditions through a combination of appearance and structural cues
We are investigating deep learning approaches to soccer event detection, as well as individual and ensemble action recognition techniques, toward automatic refereeing and summary generation systems
We designed a multi-sensor head for a HUBO humanoid robot and programmed it to drive a utility vehicle, carry a hose, and other tasks
We are investigating visual object detectors based on deep neural networks that can quickly and accurately find natural objects such as bird nests and scallops in cluttered scenes from moving robotic platforms
Semantic labeling of point clouds, DARPA Grand Challenges, IGVC competitions, parsing building facades, projector-camera systems, ...