Company Filing History:
Years Active: 2016-2020
Title: Khoa Luu: Innovator in 3D Spatial Technology
Introduction
Khoa Luu is a prominent inventor based in Pittsburgh, PA (US). He has made significant contributions to the field of technology, particularly in 3D spatial modeling and object detection. With a total of 4 patents, his work continues to influence advancements in computer vision and artificial intelligence.
Latest Patents
One of Khoa Luu's latest patents is the development of a 3D spatial transformer network. This invention provides a novel approach to simultaneously extracting the 3D shape of the face and achieving semantically consistent 2D alignment. By utilizing a generic 3D model and a thin plate spline (TPS) warping function, subject-specific 3D shapes can be generated without the need for a large 3D shape basis.
Another significant patent involves methods and software for detecting objects in an image using a contextual multiscale fast region-based convolutional neural network. This method processes multiple feature maps of differing scales from various convolution layers within a convolutional network. It creates a regional-proposal bounding box that is projected back to the feature maps of individual convolution layers. This process allows for the robust detection of objects by utilizing deep features encoded in both global and local representations.
Career Highlights
Khoa Luu is affiliated with Carnegie Mellon University, where he continues to push the boundaries of research and innovation. His work has garnered attention for its practical applications in various fields, including robotics and artificial intelligence.
Collaborations
Khoa has collaborated with notable colleagues such as Marios Savvides and Chenchen Zhu. Their combined expertise has contributed to the advancement of technologies in computer vision and machine learning.
Conclusion
Khoa Luu's innovative work in 3D spatial technology and object detection exemplifies the impact of research and development in modern technology. His contributions continue to pave the way for future advancements in the field.