Gregory P. Meyer

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 27

Top Topics

Probabilistic Interpretation

Pose Estimation

Object Detection

Top Venues

Publications

Yichen Xie, Hongge Chen, Gregory P. Meyer, Yong Jae Lee, Eric M. Wolff, Masayoshi Tomizuka, Wei Zhan, Yuning Chai, Xin Huang
Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving. CoRR (2024)
Hongge Chen, Zhao Chen, Gregory P. Meyer, Dennis Park, Carl Vondrick, Ashish Shrivastava, Yuning Chai
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors. ICCV (2023)
Mao Ye, Gregory P. Meyer, Yuning Chai, Qiang Liu
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting. ICCV (2023)
Hongge Chen, Zhao Chen, Gregory P. Meyer, Dennis Park, Carl Vondrick, Ashish Shrivastava, Yuning Chai
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors. CoRR (2023)
Mu Cai, Haotian Liu, Siva Karthik Mustikovela, Gregory P. Meyer, Yuning Chai, Dennis Park, Yong Jae Lee
Making Large Multimodal Models Understand Arbitrary Visual Prompts. CoRR (2023)
Mao Ye, Gregory P. Meyer, Yuning Chai, Qiang Liu
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting. CoRR (2023)
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
MultiXNet: Multiclass Multistage Multimodal Motion Prediction. IV (2021)
Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Brian C. Becker
DVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles. ICCVW (2021)
Gregory P. Meyer, Jake Charland, Shreyash Pandey, Ankit Laddha, Shivam Gautam, Carlos Vallespi-Gonzalez, Carl K. Wellington
LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting. IEEE Robotics Autom. Lett. 6 (2) (2021)
Gregory P. Meyer
An Alternative Probabilistic Interpretation of the Huber Loss. CVPR (2021)
Ankit Laddha, Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Carl K. Wellington
RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting. IROS (2021)
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
MultiXNet: Multiclass Multistage Multimodal Motion Prediction. CoRR (2020)
Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Brian C. Becker
SDVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles. CoRR (2020)
Gregory P. Meyer, Jake Charland, Shreyash Pandey, Ankit Laddha, Carlos Vallespi-Gonzalez, Carl K. Wellington
LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting. CoRR (2020)
Ankit Laddha, Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez
RV-FuseNet: Range View based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting. CoRR (2020)
Gregory P. Meyer, Niranjan Thakurdesai
Learning an Uncertainty-Aware Object Detector for Autonomous Driving. IROS (2020)
Gregory P. Meyer, Jake Charland, Darshan Hegde, Ankit Laddha, Carlos Vallespi-Gonzalez
Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation. CVPR Workshops (2019)
Gregory P. Meyer
An Alternative Probabilistic Interpretation of the Huber Loss. CoRR (2019)
Gregory P. Meyer, Ankit Laddha, Eric Kee, Carlos Vallespi-Gonzalez, Carl K. Wellington
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving. CVPR (2019)
Gregory P. Meyer, Niranjan Thakurdesai
Learning an Uncertainty-Aware Object Detector for Autonomous Driving. CoRR (2019)
Gregory P. Meyer, Ankit Laddha, Eric Kee, Carlos Vallespi-Gonzalez, Carl K. Wellington
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving. CoRR (2019)
Gregory P. Meyer, Jake Charland, Darshan Hegde, Ankit Laddha, Carlos Vallespi-Gonzalez
Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation. CoRR (2019)
Gregory P. Meyer, Jake Charland, Darshan Hegde, Ankit Laddha, Carlos Vallespi-Gonzalez
Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation. CVPR Workshops (2019)
Gregory P. Meyer, Minh N. Do
Real-Time 3D Face Verification with a Consumer Depth Camera. CRV (2018)
Gregory P. Meyer, Steven Alfano, Minh N. Do
Improving face detection with depth. ICASSP (2016)
Gregory P. Meyer, Minh N. Do
3D GrabCut: Interactive Foreground Extraction for Reconstructed 3D Scenes. 3DOR@Eurographics (2015)
Gregory P. Meyer, Shalini Gupta, Iuri Frosio, Dikpal Reddy, Jan Kautz
Robust Model-Based 3D Head Pose Estimation. ICCV (2015)
Gregory P. Meyer, Minh N. Do
Real-time 3D face modeling with a commodity depth camera. ICME Workshops (2013)