Gregory P. Meyer, Ph.D.

Physical AI · 3D Perception · Autonomous Systems

Director of AI · Agtonomy

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Portrait of Gregory P. Meyer

About

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.

Experience

Agtonomy2026 – Present
Director of AI

Leading AI development for autonomous tractors and agricultural automation systems.

Meta2025 – 2026
Staff Research Engineer

Improved the spatial understanding of vision-language models for Physical AI products, including robotics and smart glasses.

Cruise2021 – 2025
Staff Research Scientist, Team Lead

Led a team of five researchers on core perception for autonomous driving.

Uber Advanced Technologies Group2017 – 2021
Senior Software Engineer, Tech Lead

Tech lead for the first deep learning model deployed in Uber's autonomous vehicle stack.

Google & NVIDIA2013 – 2015
Software Engineering & Research Internships

VR capture, geometry-aware photo editing, 3D reconstruction, and real-time head pose estimation.

Education

Ph.D. in Electrical and Computer Engineering2016
University of Illinois Urbana-Champaign

Dissertation research in 3D computer vision.

M.S. in Electrical and Computer Engineering2014
University of Illinois Urbana-Champaign
B.S. in Computer Engineering2010
University of Illinois Urbana-Champaign

Publications

Figure from EgoAVU
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
Highlight
Project Page
BibTeX
@inproceedings{seth2026egoavu,
  author    = {Ashish Seth and Xinhao Mei and Changsheng Zhao and Varun Nagaraja and Ernie Chang and Gregory P. Meyer and Ga{\"{e}}l Le Lan and Yunyang Xiong and Vikas Chandra and Yangyang Shi and Dinesh Manocha and Zhipeng Cai},
  title     = {EgoAVU: Egocentric Audio-Visual Understanding},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year      = {2026}
}
Figure from Exploring Audio Hallucination in Egocentric Video Understanding
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
Project Page
BibTeX
@inproceedings{seth2026exploring,
  author    = {Ashish Seth and Xinhao Mei and Changsheng Zhao and Varun Nagaraja and Ernie Chang and Gregory P. Meyer and Gael Le Lan and Yunyang Xiong and Vikas Chandra and Yangyang Shi and Dinesh Manocha and Zhipeng Cai},
  title     = {Exploring Audio Hallucination in Egocentric Video Understanding},
  booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
  year      = {2026}
}
Figure from DepthLM
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
Code Model
BibTeX
@inproceedings{cai2026depthlm,
  author    = {Zhipeng Cai and Ching{-}Feng Yeh and Hu Xu and Zhuang Liu and Gregory P. Meyer and Xinjie Lei and Changsheng Zhao and Shang{-}Wen (Daniel) Li and Vikas Chandra and Yangyang Shi},
  title     = {DepthLM: Metric Depth From Vision Language Models},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year      = {2026}
}
Figure from VLM-AD
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
BibTeX
@inproceedings{xu2025vlmad,
  author    = {Yi Xu and Yuxin Hu and Zaiwei Zhang and Gregory P. Meyer and Siva Karthik Mustikovela and Siddhartha S. Srinivasa and Eric M. Wolff and Xin Huang},
  title     = {{VLM-AD:} End-to-End Autonomous Driving through Vision-Language Model Supervision},
  booktitle = {Conference on Robot Learning (CoRL)},
  year      = {2025}
}
Figure from Generative Data Mining with Longtail-Guided Diffusion
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
BibTeX
@inproceedings{hayden2025generative,
  author       = {David S. Hayden and
                  Mao Ye and
                  Timur Garipov and
                  Gregory P. Meyer and
                  Carl Vondrick and
                  Zhao Chen and
                  Yuning Chai and
                  Eric M. Wolff and
                  Siddhartha S. Srinivasa},
  editor       = {Aarti Singh and
                  Maryam Fazel and
                  Daniel Hsu and
                  Simon Lacoste{-}Julien and
                  Felix Berkenkamp and
                  Tegan Maharaj and
                  Kiri Wagstaff and
                  Jerry Zhu},
  title        = {Generative Data Mining with Longtail-Guided Diffusion},
  booktitle    = {Forty-second International Conference on Machine Learning, {ICML}
                  2025, Vancouver, BC, Canada, July 13-19, 2025},
  series       = {Proceedings of Machine Learning Research},
  volume       = {267},
  publisher    = {{PMLR} / OpenReview.net},
  year         = {2025},
  url          = {https://proceedings.mlr.press/v267/hayden25a.html}
}
Figure from Flash3D
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
Highlight
Code
BibTeX
@inproceedings{chen2025flash3d,
  author       = {Liyan Chen and
                  Gregory P. Meyer and
                  Zaiwei Zhang and
                  Eric M. Wolff and
                  Paul Vernaza},
  title        = {Flash3D: Super-scaling Point Transformers through Joint Hardware-Geometry
                  Locality},
  booktitle    = {{IEEE/CVF} Conference on Computer Vision and Pattern Recognition,
                  {CVPR} 2025, Nashville, TN, USA, June 11-15, 2025},
  pages        = {6595--6604},
  publisher    = {Computer Vision Foundation / {IEEE}},
  year         = {2025},
  url          = {https://openaccess.thecvf.com/content/CVPR2025/html/Chen\_Flash3D\_Super-scaling\_Point\_Transformers\_through\_Joint\_Hardware-Geometry\_Locality\_CVPR\_2025\_paper.html},
  doi          = {10.1109/CVPR52734.2025.00618}
}
Figure from Cohere3D
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
BibTeX
@inproceedings{xie2025cohere3d,
  author       = {Yichen Xie and
                  Hongge Chen and
                  Gregory P. Meyer and
                  Yong Jae Lee and
                  Eric M. Wolff and
                  Masayoshi Tomizuka and
                  Wei Zhan and
                  Yuning Chai and
                  Xin Huang},
  title        = {Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation
                  Learning of Vision-Based Autonomous Driving},
  booktitle    = {{IEEE} International Conference on Robotics and Automation, {ICRA}
                  2025, Atlanta, GA, USA, May 19-23, 2025},
  pages        = {10095--10102},
  publisher    = {{IEEE}},
  year         = {2025},
  url          = {https://doi.org/10.1109/ICRA55743.2025.11127749},
  doi          = {10.1109/ICRA55743.2025.11127749}
}
Figure from VLMine
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
BibTeX
@inproceedings{ye2025vlmine,
  author       = {Mao Ye and
                  Gregory P. Meyer and
                  Zaiwei Zhang and
                  Dennis Park and
                  Siva Karthik Mustikovela and
                  Yuning Chai and
                  Eric M. Wolff},
  title        = {VLMine: Long-Tail Data Mining with Vision Language Models},
  booktitle    = {{IEEE/CVF} Winter Conference on Applications of Computer Vision, {WACV}
                  2025 - Workshops, Tucson, AZ, USA, February 28 - March 4, 2025},
  pages        = {982--992},
  publisher    = {{IEEE}},
  year         = {2025},
  url          = {https://doi.org/10.1109/WACVW65960.2025.00120},
  doi          = {10.1109/WACVW65960.2025.00120}
}
Figure from VLM-KD
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
BibTeX
@article{zhang2024vlmkd,
  author       = {Zaiwei Zhang and
                  Gregory P. Meyer and
                  Zhichao Lu and
                  Ashish Shrivastava and
                  Avinash Ravichandran and
                  Eric M. Wolff},
  title        = {{VLM-KD:} Knowledge Distillation from {VLM} for Long-Tail Visual Recognition},
  journal      = {CoRR},
  volume       = {abs/2408.16930},
  year         = {2024},
  url          = {https://doi.org/10.48550/arXiv.2408.16930},
  doi          = {10.48550/ARXIV.2408.16930}
}
Figure from ViP-LLaVA
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
Project Page
BibTeX
@inproceedings{cai2024vipllava,
  author       = {Mu Cai and
                  Haotian Liu and
                  Siva Karthik Mustikovela and
                  Gregory P. Meyer and
                  Yuning Chai and
                  Dennis Park and
                  Yong Jae Lee},
  title        = {ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual
                  Prompts},
  booktitle    = {{IEEE/CVF} Conference on Computer Vision and Pattern Recognition,
                  {CVPR} 2024, Seattle, WA, USA, June 16-22, 2024},
  pages        = {12914--12923},
  publisher    = {{IEEE}},
  year         = {2024},
  url          = {https://doi.org/10.1109/CVPR52733.2024.01227},
  doi          = {10.1109/CVPR52733.2024.01227}
}
Figure from SHIFT3D
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
Poster
BibTeX
@inproceedings{chen2023shift3d,
  author       = {Hongge Chen and
                  Zhao Chen and
                  Gregory P. Meyer and
                  Dennis Park and
                  Carl Vondrick and
                  Ashish Shrivastava and
                  Yuning Chai},
  title        = {{SHIFT3D:} Synthesizing Hard Inputs For Tricking 3D Detectors},
  booktitle    = {{IEEE/CVF} International Conference on Computer Vision, {ICCV} 2023,
                  Paris, France, October 1-6, 2023},
  pages        = {8459--8469},
  publisher    = {{IEEE}},
  year         = {2023},
  url          = {https://doi.org/10.1109/ICCV51070.2023.00780},
  doi          = {10.1109/ICCV51070.2023.00780}
}
Figure from Efficient Transformer-based 3D Object Detection with Dynamic Token Halting
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
Video Poster
BibTeX
@inproceedings{ye2023efficient,
  author       = {Mao Ye and
                  Gregory P. Meyer and
                  Yuning Chai and
                  Qiang Liu},
  title        = {Efficient Transformer-based 3D Object Detection with Dynamic Token
                  Halting},
  booktitle    = {{IEEE/CVF} International Conference on Computer Vision, {ICCV} 2023,
                  Paris, France, October 1-6, 2023},
  pages        = {8404--8416},
  publisher    = {{IEEE}},
  year         = {2023},
  url          = {https://doi.org/10.1109/ICCV51070.2023.00775},
  doi          = {10.1109/ICCV51070.2023.00775}
}
Figure from RV-FuseNet
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
BibTeX
@inproceedings{laddha2021rvfusenet,
  author       = {Ankit Laddha and
                  Shivam Gautam and
                  Gregory P. Meyer and
                  Carlos Vallespi{-}Gonzalez and
                  Carl K. Wellington},
  title        = {RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for
                  Joint 3D Object Detection and Motion Forecasting},
  booktitle    = {{IEEE/RSJ} International Conference on Intelligent Robots and Systems,
                  {IROS} 2021, Prague, Czech Republic, September 27 - Oct. 1, 2021},
  pages        = {7060--7066},
  publisher    = {{IEEE}},
  year         = {2021},
  url          = {https://doi.org/10.1109/IROS51168.2021.9636083},
  doi          = {10.1109/IROS51168.2021.9636083}
}
Figure from SDVTracker
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
BibTeX
@inproceedings{gautam2021sdvtracker,
  author    = {Shivam Gautam and Gregory P. Meyer and Carlos Vallespi{-}Gonzalez and Brian C. Becker},
  title     = {SDVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles},
  booktitle = {IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)},
  year      = {2021}
}
Figure from MultiXNet
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
BibTeX
@inproceedings{djuric2021multixnet,
  author       = {Nemanja Djuric and
                  Henggang Cui and
                  Zhaoen Su and
                  Shangxuan Wu and
                  Huahua Wang and
                  Fang{-}Chieh Chou and
                  Luisa San Martin and
                  Song Feng and
                  Rui Hu and
                  Yang Xu and
                  Alyssa Dayan and
                  Sidney Zhang and
                  Brian C. Becker and
                  Gregory P. Meyer and
                  Carlos Vallespi{-}Gonzalez and
                  Carl K. Wellington},
  title        = {MultiXNet: Multiclass Multistage Multimodal Motion Prediction},
  booktitle    = {{IEEE} Intelligent Vehicles Symposium, {IV} 2021, Nagoya, Japan, July
                  11-17, 2021},
  pages        = {435--442},
  publisher    = {{IEEE}},
  year         = {2021},
  url          = {https://doi.org/10.1109/IV48863.2021.9575718},
  doi          = {10.1109/IV48863.2021.9575718}
}
Figure from An Alternative Probabilistic Interpretation of the Huber Loss
An Alternative Probabilistic Interpretation of the Huber Loss
G. P. Meyer
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Video Poster
BibTeX
@inproceedings{meyer2021alternative,
  author       = {Gregory P. Meyer},
  title        = {An Alternative Probabilistic Interpretation of the Huber Loss},
  booktitle    = {{IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR}
                  2021, virtual, June 19-25, 2021},
  pages        = {5261--5269},
  publisher    = {Computer Vision Foundation / {IEEE}},
  year         = {2021},
  url          = {https://openaccess.thecvf.com/content/CVPR2021/html/Meyer\_An\_Alternative\_Probabilistic\_Interpretation\_of\_the\_Huber\_Loss\_CVPR\_2021\_paper.html},
  doi          = {10.1109/CVPR46437.2021.00522}
}
Figure from LaserFlow
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
Video
BibTeX
@article{meyer2020laserflow,
  author       = {Gregory P. Meyer and
                  Jake Charland and
                  Shreyash Pandey and
                  Ankit Laddha and
                  Shivam Gautam and
                  Carlos Vallespi{-}Gonzalez and
                  Carl K. Wellington},
  title        = {LaserFlow: Efficient and Probabilistic Object Detection and Motion
                  Forecasting},
  journal      = {{IEEE} Robotics Autom. Lett.},
  volume       = {6},
  number       = {2},
  pages        = {526--533},
  year         = {2021},
  url          = {https://doi.org/10.1109/LRA.2020.3047793},
  doi          = {10.1109/LRA.2020.3047793}
}
Figure from Learning an Uncertainty-Aware Object Detector for Autonomous Driving
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
Video
BibTeX
@inproceedings{meyer2020learning,
  author       = {Gregory P. Meyer and
                  Niranjan Thakurdesai},
  title        = {Learning an Uncertainty-Aware Object Detector for Autonomous Driving},
  booktitle    = {{IEEE/RSJ} International Conference on Intelligent Robots and Systems,
                  {IROS} 2020, Las Vegas, NV, USA, October 24, 2020 - January 24, 2021},
  pages        = {10521--10527},
  publisher    = {{IEEE}},
  year         = {2020},
  url          = {https://doi.org/10.1109/IROS45743.2020.9341623},
  doi          = {10.1109/IROS45743.2020.9341623}
}
Figure from Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation
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
Poster
BibTeX
@inproceedings{meyer2019sensor,
  author       = {Gregory P. Meyer and
                  Jake Charland and
                  Darshan Hegde and
                  Ankit Laddha and
                  Carlos Vallespi{-}Gonzalez},
  title        = {Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation},
  booktitle    = {{IEEE} Conference on Computer Vision and Pattern Recognition Workshops,
                  {CVPR} Workshops 2019, Long Beach, CA, USA, June 16-20, 2019},
  pages        = {1230--1237},
  publisher    = {Computer Vision Foundation / {IEEE}},
  year         = {2019},
  url          = {http://openaccess.thecvf.com/content\_CVPRW\_2019/html/WAD/Meyer\_Sensor\_Fusion\_for\_Joint\_3D\_Object\_Detection\_and\_Semantic\_Segmentation\_CVPRW\_2019\_paper.html},
  doi          = {10.1109/CVPRW.2019.00162}
}
Figure from LaserNet
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
Poster
BibTeX
@inproceedings{meyer2019lasernet,
  author       = {Gregory P. Meyer and
                  Ankit Laddha and
                  Eric Kee and
                  Carlos Vallespi{-}Gonzalez and
                  Carl K. Wellington},
  title        = {LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous
                  Driving},
  booktitle    = {{IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR}
                  2019, Long Beach, CA, USA, June 16-20, 2019},
  pages        = {12677--12686},
  publisher    = {Computer Vision Foundation / {IEEE}},
  year         = {2019},
  url          = {http://openaccess.thecvf.com/content\_CVPR\_2019/html/Meyer\_LaserNet\_An\_Efficient\_Probabilistic\_3D\_Object\_Detector\_for\_Autonomous\_Driving\_CVPR\_2019\_paper.html},
  doi          = {10.1109/CVPR.2019.01296}
}
Figure from Real-time 3D Face Verification with a Consumer Depth Camera
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
Oral
BibTeX
@inproceedings{meyer2018face,
  author       = {Gregory P. Meyer and
                  Minh N. Do},
  title        = {Real-Time 3D Face Verification with a Consumer Depth Camera},
  booktitle    = {15th Conference on Computer and Robot Vision, {CRV} 2018, Toronto,
                  ON, Canada, May 8-10, 2018},
  pages        = {71--79},
  publisher    = {{IEEE} Computer Society},
  year         = {2018},
  url          = {https://doi.org/10.1109/CRV.2018.00020},
  doi          = {10.1109/CRV.2018.00020}
}
Figure from Improving Face Detection with Depth
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
Oral
Code
BibTeX
@inproceedings{meyer2016improving,
  author       = {Gregory P. Meyer and
                  Steven Alfano and
                  Minh N. Do},
  title        = {Improving face detection with depth},
  booktitle    = {2016 {IEEE} International Conference on Acoustics, Speech and Signal
                  Processing, {ICASSP} 2016, Shanghai, China, March 20-25, 2016},
  pages        = {1288--1292},
  publisher    = {{IEEE}},
  year         = {2016},
  url          = {https://doi.org/10.1109/ICASSP.2016.7471884},
  doi          = {10.1109/ICASSP.2016.7471884}
}
Figure from Robust Model-based 3D Head Pose Estimation
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
Poster
BibTeX
@inproceedings{meyer2015robust,
  author       = {Gregory P. Meyer and
                  Shalini Gupta and
                  Iuri Frosio and
                  Dikpal Reddy and
                  Jan Kautz},
  title        = {Robust Model-Based 3D Head Pose Estimation},
  booktitle    = {2015 {IEEE} International Conference on Computer Vision, {ICCV} 2015,
                  Santiago, Chile, December 7-13, 2015},
  pages        = {3649--3657},
  publisher    = {{IEEE} Computer Society},
  year         = {2015},
  url          = {https://doi.org/10.1109/ICCV.2015.416},
  doi          = {10.1109/ICCV.2015.416}
}
Figure from 3D GrabCut
3D GrabCut: Interactive Foreground Extraction for Reconstructed 3D Scenes
G. P. Meyer and M. N. Do
Eurographics Workshop on 3D Object Retrieval (3DOR), 2015
Oral
BibTeX
@inproceedings{meyer2015grabcut,
  author       = {Gregory P. Meyer and
                  Minh N. Do},
  editor       = {Ioannis Pratikakis and
                  Theoharis Theoharis and
                  Michela Spagnuolo and
                  Luc Van Gool and
                  Remco C. Veltkamp and
                  Afzal Godil},
  title        = {3D GrabCut: Interactive Foreground Extraction for Reconstructed 3D
                  Scenes},
  booktitle    = {8th Eurographics Workshop on 3D Object Retrieval, 3DOR@Eurographics
                  2015, Zurich, Switzerland, May 2-3, 2015},
  pages        = {1--6},
  publisher    = {Eurographics Association},
  year         = {2015},
  url          = {https://doi.org/10.2312/3dor.20151048},
  doi          = {10.2312/3DOR.20151048}
}
Figure from Real-time 3D Face Modeling with a Commodity Depth Camera
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
Code Poster
BibTeX
@inproceedings{meyer2013face,
  author       = {Gregory P. Meyer and
                  Minh N. Do},
  title        = {Real-time 3D face modeling with a commodity depth camera},
  booktitle    = {2013 {IEEE} International Conference on Multimedia and Expo Workshops,
                  San Jose, CA, USA, July 15-19, 2013},
  pages        = {1--4},
  publisher    = {{IEEE} Computer Society},
  year         = {2013},
  url          = {https://doi.org/10.1109/ICMEW.2013.6618317},
  doi          = {10.1109/ICMEW.2013.6618317}
}