Gregory P. Meyer, Ph.D.

Director of AI
Agtonomy
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I'm an AI researcher and leader focused on Physical AI: intelligent systems that perceive, understand, and act in the real world. I'm currently Director of AI at Agtonomy, where I lead AI development for autonomous tractors. Previously, I built Physical AI systems at Meta, Cruise, and Uber ATG. I earned my PhD from the University of Illinois Urbana-Champaign, where my research focused on 3D computer vision.

Publications

EgoAVU: Egocentric Audio-Visual Understanding
A. Seth, X. Mei, C. Zhao, V. Nagaraja, E. Chang, G. P. Meyer, G. L. Lan, Y. Xiong, V. Chandra, Y. Shi, D. Manocha, Z. Cai
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
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PDF Project Page
Exploring Audio Hallucination in Egocentric Video Understanding
A. Seth, X. Mei, C. Zhao, V. Nagaraja, E. Chang, G. P. Meyer, G. L. Lan, Y. Xiong, V. Chandra, Y. Shi, D. Manocha, Z. Cai
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2026
PDF Project Page
DepthLM: Metric Depth From Vision Language Models
Z. Cai, C.-F. Yeh, H. Xu, Z. Liu, G. P. Meyer, X. Lei, C. Zhao, S.-W. Li, V. Chandra, Y. Shi
International Conference on Learning Representations (ICLR), 2026
Oral
PDF Code Model
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
Conference on Robot Learning (CoRL), 2025
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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
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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
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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
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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
Tech Report, 2024
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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
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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
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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
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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
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
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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
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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