Experience
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Principal Research Scientist, Feb. 2021 - Present, Motional
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Senior Software Engineer, Jan. 2017 - Feb. 2021, Uber Advanced Technologies Group
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Led the research into methods for real-time 3D object detection and motion
forecasting utilizing LiDARs and cameras for self-driving vehicles.
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Software Engineering Intern, May 2015 - Aug. 2015, Google
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Worked with the Jump team to develop a technique for capturing
a room-size environment with the Jump camera.
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Research Intern, Aug. 2014 - Jan. 2015, NVIDIA
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Worked with the Mobile Visual Computing group at NVIDIA Research
to develop a method for estimating the pose of a person's head
using a low-cost depth camera.
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Software Engineering Intern, May 2014 - Aug. 2014, Google
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Worked with the Photo Editing team to develop techniques for
editing photos using depth information.
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Software Engineering Intern, May 2013 - Aug. 2013, Google
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Worked with the Google Objects team at Google Research to
construct a system for capturing a coarse 3D model of an object
using a depth camera.
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Member of Technical Staff, Jan. 2010 - May 2013, Personify Inc.
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Designed and implemented real-time algorithms to segment video
frames into foreground and background regions using depth and
color information.
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Publications
G. P Meyer,
"An Alternative Probabilistic Interpretation of the Huber Loss," in
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
2021.
[PDF]
G. P. Meyer, J. Charland, S. Pandey, A. Laddha, S. Gautam, C. Vallespi-Gonzalez, C. K. Wellington,
"LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting," in
IEEE Robotics and Automation Letters, 2020.
[PDF]
S. Gautam, G. P. Meyer, C. Vallespi-Gonzalez, B. C. Becker,
"SDVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles," in
Proceedings of the IROS Workshop on Planning, Perception, Navigation for Intelligent Vehicle,
2020.
[PDF]
G. P Meyer, N. Thakurdesai,
"Learning an Uncertainty-Aware Object Detector for Autonomous Driving," in
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),
2020.
[PDF]
G. P Meyer, J. Charland, D. Hegde, A. Laddha, C. Vallespi-Gonzalez,
"Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation," in
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),
2019.
[PDF]
G. P Meyer, A. Laddha, E. Kee, C. Vallespi-Gonzalez, C. K. Wellington,
"LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving," in
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
2019.
[PDF]
G. P. Meyer and M. N. Do, "Real-time 3D Face Verification with a
Consumer Depth Camera," in Proceedings of the 15th Conference on
Computer and Robot Vision (CRV), 2018.
[PDF]
G. P. Meyer, S. Alfano, and M. N. Do, "Improving Face Detection with
Depth," in Proceedings of the IEEE International Conference on
Acoustics, Speech, and Signal Processing (ICASSP), 2016.
[PDF]
[Code]
G. P. Meyer, S. Gupta, I. Frosio, D. Reddy, and J. Kautz, "Robust
Model-based 3D Head Pose Estimation," in Proceedings of the IEEE
International Conference on Computer Vision (ICCV), 2015.
[PDF]
G. P. Meyer and M. N. Do, "3D GrabCut: Interactive foreground
extraction for reconstructed 3D scenes," in Proceedings of the
Eurographics Workshop on 3D Object Retrieval (3DOR), 2015.
[PDF]
G. P. Meyer and M. N. Do, "Real-time 3D face modeling with a
commodity depth camera," in IEEE International Conference on
Multimedia and Expo (ICME), 2013.
[PDF]
[Code]
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Patents
C. Vallespi-Gonzalez, A. Laddha, G. P. Meyer, E. Kee,
"Hybrid-view lidar-based object detection,"
US Patent 17 067 135, Jan. 28, 2021.
G. P. Meyer, S. Gupta, I. Frosio, D. Reddy, and J. Kautz,
"Model-based three-dimensional head pose estimation,"
US Patent 9 830 703, Nov. 28, 2017.
Q. H. Nguyen, G. P. Meyer, M. N. Do, D. Lin, and S. J. Patel,
"Systems and methods for accurate user foreground video extraction,"
US Patent 8 818 028, Aug. 26, 2014.
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