Gregory P. Meyer, Ph.D.

Staff Research Scientist
Reality Labs, Meta
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I'm currently an AI researcher at Reality Labs, Meta, working on cutting-edge challenges at the intersection of machine learning and computer vision. Before joining Meta, I spent more than eight years in the autonomous driving industry, contributing to research efforts at Cruise and Uber ATG. I earned my PhD from the University of Illinois Urbana-Champaign, where my research focused on computer vision.

Publications

Generative Data Mining with Longtail-Guided Diffusion
D. S. Hayden, M. Ye, T. Garipov, G. P. Meyer, C. Vondrick, Z. Chen, Y. Chai, E. M. Wolff, S. Srinivasa
International Conference on Machine Learning (ICML), 2025
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Flash3D: Super-scaling Point Transformers through Joint Hardware-Geometry Locality
L. Chen, G. P. Meyer, Z. Zhang, E. M. Wolff, P. Vernaza
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
PDF Code
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
IEEE International Conference on Robotics and Automation (ICRA), 2025
PDF
VLMine: Long-Tail Data Mining with Vision Language Models
M. Ye, G. P. Meyer, Z. Zhang, D. Park, S. K. Mustikovela, Y. Chai, E. M. Wolff
IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), 2025
PDF
VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision
Y. Xu, Y. Hu, Z. Zhang, G. P. Meyer, S. K. Mustikovela, S. Srinivasa, E. M. Wolff, X. Huang
Arxiv, 2024
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VLM-KD: Knowledge Distillation from VLM for Long-Tail Visual Recognition
Z. Zhang, G. P. Meyer, Z. Lu, A. Shrivastava, A. Ravichandran, E. M. Wolff
Arxiv, 2024
PDF
ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts
M. Cai, H. Liu, D. Park, S. K. Mustikovela, G. P. Meyer, Y. Chai, 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