Real-time 3D face modeling with a commodity depth camera. - Gregory P. Meyer; Minh N. Do (ICME Workshops, 2013)

3D GrabCut: Interactive Foreground Extraction for Reconstructed 3D Scenes. - Gregory P. Meyer; Minh N. Do (3DOR@Eurographics, 2015)

Robust Model-Based 3D Head Pose Estimation. - Gregory P. Meyer; Shalini Gupta; Iuri Frosio; Dikpal Reddy; Jan Kautz (ICCV, 2015)

Improving face detection with depth. - Gregory P. Meyer; Steven Alfano; Minh N. Do (ICASSP, 2016)

Real-time 3D face localization and verification - Gregory P. Meyer (2016)

Real-Time 3D Face Verification with a Consumer Depth Camera. - Gregory P. Meyer; Minh N. Do (CRV, 2018)

Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation. - Gregory P. Meyer; Jake Charland; Darshan Hegde; Ankit Laddha; Carlos Vallespi-Gonzalez (CVPR Workshops, 2019)

LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving. - Gregory P. Meyer; Ankit Laddha; Eric Kee; Carlos Vallespi-Gonzalez; Carl K. Wellington (CVPR, 2019)

Learning an Uncertainty-Aware Object Detector for Autonomous Driving. - Gregory P. Meyer; Niranjan Thakurdesai (IROS, 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)

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)

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)

An Alternative Probabilistic Interpretation of the Huber Loss. - Gregory P. Meyer (CVPR, 2021)

DVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles. - Shivam Gautam; Gregory P. Meyer; Carlos Vallespi-Gonzalez; Brian C. Becker (ICCVW, 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 (IROS, 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; et al. (IV, 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)

Efficient Transformer-based 3D Object Detection with Dynamic Token Halting. - Mao Ye 006; Gregory P. Meyer; Yuning Chai; Qiang Liu 001 (ICCV, 2023)

SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors. - Hongge Chen; Zhao Chen; Gregory P. Meyer; Dennis Park; Carl Vondrick; Ashish Shrivastava 001; Yuning Chai (ICCV, 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)

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 (CVPR, 2024)

Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving. - Yichen Xie 002; Hongge Chen; Gregory P. Meyer; Yong Jae Lee; Eric M. Wolff; Masayoshi Tomizuka; Wei Zhan; Yuning Chai; Xin Huang (CoRR, 2024)

VLM-KD: Knowledge Distillation from VLM for Long-Tail Visual Recognition. - Zaiwei Zhang; Gregory P. Meyer; Zhichao Lu; Ashish Shrivastava 001; Avinash Ravichandran; Eric M. Wolff (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)

Flash3D: Super-scaling Point Transformers through Joint Hardware-Geometry Locality. - Liyan Chen; Gregory P. Meyer; Zaiwei Zhang; Eric M. Wolff; Paul Vernaza (CVPR, 2025)

VLMine: Long-Tail Data Mining with Vision Language Models. - Mao Ye 006; Gregory P. Meyer; Zaiwei Zhang; Dennis Park; Siva Karthik Mustikovela; Yuning Chai; Eric M. Wolff (WACV (Workshops), 2025)

Generative Data Mining with Longtail-Guided Diffusion. - David S. Hayden; Mao Ye 006; Timur Garipov; Gregory P. Meyer; Carl Vondrick; Zhao Chen; Yuning Chai; Eric M. Wolff; Siddhartha S. Srinivasa (CoRR, 2025)