Gregory P. Meyer, Ph.D.

Staff Research Scientist
Cruise
Email:

Google Scholar Résumé

Currently, I'm a staff research scientist at Cruise working with the AI research group led by Yuning Chai. Previously, I was a principal research scientist at Motional and a research lead at Uber Advanced Technologies Group. Before that, I was a graduate student at the University of Illinois at Urbana-Champaign where I was advised by Minh N. Do.

Publications

Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving
Y. Xie, H. Chen, G. P. Meyer, Y. J. Lee, E. M. Wolff, M. Tomizuka, W. Zhan, Y. Chai, X. Huang
Arxiv, 2024
PDF
Making Large Multimodal Models Understand Arbitrary Visual Prompts
M. Cai, H. Liu, S. K. Mustikovela, G. P. Meyer, Y. Chai, D. Park, Y. J. Lee
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
PDF Project Page
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors
H. Chen, Z. Chen, G. P. Meyer, D. Park, C. Vondrick, A. Shrivastava, Y. Chai
IEEE International Conference on Computer Vision (ICCV), 2023
PDF Poster
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting
M. Ye, G. P. Meyer, Y. Chai, Q. Liu
IEEE International Conference on Computer Vision (ICCV), 2023
PDF Video Poster
RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting
A. Laddha, S. Gautam, G. P. Meyer, C. Vallespi-Gonzalez, C. K. Wellington
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
PDF
SDVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles
S. Gautam, G. P. Meyer, C. Vallespi-Gonzalez, B. C. Becker
IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021
PDF
MultiXNet: Multiclass Multistage Multimodal Motion Prediction
N. Djuric, H. Cui, Z. Su, S. Wu, H. Wang, F.-C. Chou, L. San Martin, S. Feng, R. Hu, Y. Xu, A. Dayan, S. Zhang, B. C. Becker, G. P. Meyer, C. Vallespi-Gonzalez, C. K. Wellington
IEEE Intelligent Vehicles Symposium (IV), 2021
PDF
An Alternative Probabilistic Interpretation of the Huber Loss
G. P. Meyer
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
PDF Video Poster
LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting
G. P. Meyer, J. Charland, S. Pandey, A. Laddha, S. Gautam, C. Vallespi-Gonzalez, C. K. Wellington
IEEE Robotics and Automation Letters (RA-L), 2020
Best Paper Award
PDF Video
Learning an Uncertainty-Aware Object Detector for Autonomous Driving
G. P Meyer, N. Thakurdesai
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
PDF Video
Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation
G. P Meyer, J. Charland, D. Hegde, A. Laddha, C. Vallespi-Gonzalez
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019
PDF Poster
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving
G. P Meyer, A. Laddha, E. Kee, C. Vallespi-Gonzalez, C. K. Wellington
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
PDF Poster
Real-time 3D Face Verification with a Consumer Depth Camera
G. P. Meyer and M. N. Do
Conference on Computer and Robot Vision (CRV), 2018
PDF
Improving Face Detection with Depth
G. P. Meyer, S. Alfano, and M. N. Do
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2016
PDF Code
Robust Model-based 3D Head Pose Estimation
G. P. Meyer, S. Gupta, I. Frosio, D. Reddy, and J. Kautz
IEEE International Conference on Computer Vision (ICCV), 2015
PDF Poster
3D GrabCut: Interactive Foreground Extraction for Reconstructed 3D Scenes
G. P. Meyer and M. N. Do
Eurographics Workshop on 3D Object Retrieval (3DOR), 2015
PDF
Real-time 3D Face Modeling with a Commodity Depth Camera
G. P. Meyer and M. N. Do
IEEE International Conference on Multimedia and Expo (ICME), 2013
PDF Code Poster