Gregory P. Meyer

According to our database, Gregory P. Meyer authored at least 26 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Flash3D: Super-scaling Point Transformers through Joint Hardware-Geometry Locality.

Liyan Chen, Gregory P. Meyer, Zaiwei Zhang, Eric M. Wolff, Paul Vernaza

CoRR, 2024

VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision.

Yi Xu, Yuxin Hu, Zaiwei Zhang, Gregory P. Meyer, Siva Karthik Mustikovela, Siddhartha Srinivasa, Eric M. Wolff, Xin Huang

CoRR, 2024

VLMine: Long-Tail Data Mining with Vision Language Models.

Mao Ye, Gregory P. Meyer, Zaiwei Zhang, Dennis Park, Siva Karthik Mustikovela, Yuning Chai, Eric M. Wolff

CoRR, 2024

VLM-KD: Knowledge Distillation from VLM for Long-Tail Visual Recognition.

Zaiwei Zhang, Gregory P. Meyer, Zhichao Lu, Ashish Shrivastava, Avinash Ravichandran, Eric M. Wolff

CoRR, 2024

Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving.

Yichen Xie, Hongge Chen, Gregory P. Meyer, Yong Jae Lee, Eric M. Wolff, Masayoshi Tomizuka, Wei Zhan, Yuning Chai, Xin Huang

CoRR, 2024

ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts.

Mu Cai, Haotian Liu, Siva Karthik Mustikovela, Gregory P. Meyer, Yuning Chai, Dennis Park, Yong Jae Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Making Large Multimodal Models Understand Arbitrary Visual Prompts.

Mu Cai, Haotian Liu, Siva Karthik Mustikovela, Gregory P. Meyer, Yuning Chai, Dennis Park, Yong Jae Lee

CoRR, 2023

SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors.

Hongge Chen, Zhao Chen, Gregory P. Meyer, Dennis Park, Carl Vondrick, Ashish Shrivastava, Yuning Chai

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Efficient Transformer-based 3D Object Detection with Dynamic Token Halting.

Mao Ye, Gregory P. Meyer, Yuning Chai, Qiang Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting.

Gregory P. Meyer, Jake Charland, Shreyash Pandey, Ankit Laddha, Shivam Gautam, Carlos Vallespi-Gonzalez, Carl K. Wellington

IEEE Robotics Autom. Lett., 2021

MultiXNet: Multiclass Multistage Multimodal Motion Prediction.

Nemanja Djuric, Henggang Cui, Zhaoen Su, Shangxuan Wu, Huahua Wang, Fang-Chieh Chou, Luisa San Martin, Song Feng, Rui Hu, Yang Xu, Alyssa Dayan, Sidney Zhang, Brian C. Becker, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Carl K. Wellington

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting.

Ankit Laddha, Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Carl K. Wellington

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

DVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles.

Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Brian C. Becker

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

An Alternative Probabilistic Interpretation of the Huber Loss.

Gregory P. Meyer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

RV-FuseNet: Range View based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting.

Ankit Laddha, Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez

CoRR, 2020

LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting.

Gregory P. Meyer, Jake Charland, Shreyash Pandey, Ankit Laddha, Carlos Vallespi-Gonzalez, Carl K. Wellington

CoRR, 2020

SDVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles.

Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Brian C. Becker

CoRR, 2020

Learning an Uncertainty-Aware Object Detector for Autonomous Driving.

Gregory P. Meyer, Niranjan Thakurdesai

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving.

Gregory P. Meyer, Ankit Laddha, Eric Kee, Carlos Vallespi-Gonzalez, Carl K. Wellington

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation.

Gregory P. Meyer, Jake Charland, Darshan Hegde, Ankit Laddha, Carlos Vallespi-Gonzalez

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Real-Time 3D Face Verification with a Consumer Depth Camera.

Gregory P. Meyer, Minh N. Do

Proceedings of the 15th Conference on Computer and Robot Vision, 2018

2016

Real-time 3D face localization and verification

Gregory P. Meyer

PhD thesis, 2016

Improving face detection with depth.

Gregory P. Meyer, Steven Alfano, Minh N. Do

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Robust Model-Based 3D Head Pose Estimation.

Gregory P. Meyer, Shalini Gupta, Iuri Frosio, Dikpal Reddy, Jan Kautz

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

3D GrabCut: Interactive Foreground Extraction for Reconstructed 3D Scenes.

Gregory P. Meyer, Minh N. Do

Proceedings of the 8th Eurographics Workshop on 3D Object Retrieval, 2015

2013

Real-time 3D face modeling with a commodity depth camera.

Gregory P. Meyer, Minh N. Do

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013