Gregory P. Meyer

41 papers A* 9A 2C 1Misc 1Journal 20Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EgoAVU: Egocentric Audio-Visual Understanding. CoRR Ashish Seth, Xinhao Mei, Changsheng Zhao, Varun Nagaraja, Ernie Chang, Gregory P. Meyer, Gaël Le Lan, Yunyang Xiong, Vikas Chandra, Yangyang Shi, Dinesh Manocha, Zhipeng Cai
2025	A*	`conf`	Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-Based Autonomous Driving. ICRA Yichen Xie, Hongge Chen, Gregory P. Meyer, Yong Jae Lee, Eric M. Wolff, Masayoshi Tomizuka, Wei Zhan, Yuning Chai, Xin Huang
2025	J	`jnl`	DepthLM: Metric Depth From Vision Language Models. CoRR Zhipeng Cai, Ching-Feng Yeh, Hu Xu, Zhuang Liu, Gregory P. Meyer, Xinjie Lei, Changsheng Zhao, Shang-Wen (Daniel) Li, Vikas Chandra, Yangyang Shi
2025	A*	`conf`	Flash3D: Super-scaling Point Transformers through Joint Hardware-Geometry Locality. CVPR Liyan Chen, Gregory P. Meyer, Zaiwei Zhang, Eric M. Wolff, Paul Vernaza
2025	A*	`conf`	Generative Data Mining with Longtail-Guided Diffusion. ICML David S. Hayden, Mao Ye, Timur Garipov, Gregory P. Meyer, Carl Vondrick, Zhao Chen, Yuning Chai, Eric M. Wolff, Siddhartha S. Srinivasa
2025	J	`jnl`	Generative Data Mining with Longtail-Guided Diffusion. CoRR David S. Hayden, Mao Ye, Timur Garipov, Gregory P. Meyer, Carl Vondrick, Zhao Chen, Yuning Chai, Eric M. Wolff, Siddhartha S. Srinivasa
2025	—	`conf`	VLMine: Long-Tail Data Mining with Vision Language Models. WACV (Workshops) Mao Ye, Gregory P. Meyer, Zaiwei Zhang, Dennis Park, Siva Karthik Mustikovela, Yuning Chai, Eric M. Wolff
2024	J	`jnl`	Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving. CoRR Yichen Xie, Hongge Chen, Gregory P. Meyer, Yong Jae Lee, Eric M. Wolff, Masayoshi Tomizuka, Wei Zhan, Yuning Chai, Xin Huang
2024	J	`jnl`	Flash3D: Super-scaling Point Transformers through Joint Hardware-Geometry Locality. CoRR Liyan Chen, Gregory P. Meyer, Zaiwei Zhang, Eric M. Wolff, Paul Vernaza
2024	J	`jnl`	VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision. CoRR Yi Xu, Yuxin Hu, Zaiwei Zhang, Gregory P. Meyer, Siva Karthik Mustikovela, Siddhartha S. Srinivasa, Eric M. Wolff, Xin Huang
2024	J	`jnl`	VLM-KD: Knowledge Distillation from VLM for Long-Tail Visual Recognition. CoRR Zaiwei Zhang, Gregory P. Meyer, Zhichao Lu, Ashish Shrivastava, Avinash Ravichandran, Eric M. Wolff
2024	J	`jnl`	VLMine: Long-Tail Data Mining with Vision Language Models. CoRR Mao Ye, Gregory P. Meyer, Zaiwei Zhang, Dennis Park, Siva Karthik Mustikovela, Yuning Chai, Eric M. Wolff
2024	A*	`conf`	ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts. CVPR Mu Cai, Haotian Liu, Siva Karthik Mustikovela, Gregory P. Meyer, Yuning Chai, Dennis Park, Yong Jae Lee
2023	A*	`conf`	Efficient Transformer-based 3D Object Detection with Dynamic Token Halting. ICCV Mao Ye, Gregory P. Meyer, Yuning Chai, Qiang Liu
2023	J	`jnl`	Efficient Transformer-based 3D Object Detection with Dynamic Token Halting. CoRR Mao Ye, Gregory P. Meyer, Yuning Chai, Qiang Liu
2023	J	`jnl`	Making Large Multimodal Models Understand Arbitrary Visual Prompts. CoRR Mu Cai, Haotian Liu, Siva Karthik Mustikovela, Gregory P. Meyer, Yuning Chai, Dennis Park, Yong Jae Lee
2023	A*	`conf`	SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors. ICCV Hongge Chen, Zhao Chen, Gregory P. Meyer, Dennis Park, Carl Vondrick, Ashish Shrivastava, Yuning Chai
2023	J	`jnl`	SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors. CoRR Hongge Chen, Zhao Chen, Gregory P. Meyer, Dennis Park, Carl Vondrick, Ashish Shrivastava, Yuning Chai
2021	A*	`conf`	An Alternative Probabilistic Interpretation of the Huber Loss. CVPR Gregory P. Meyer
2021	—	`conf`	DVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles. ICCVW Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Brian C. Becker
2021	J	`jnl`	LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting. IEEE Robotics Autom. Lett. Gregory P. Meyer, Jake Charland, Shreyash Pandey, Ankit Laddha, Shivam Gautam, Carlos Vallespi-Gonzalez, Carl K. Wellington
2021	C	`conf`	MultiXNet: Multiclass Multistage Multimodal Motion Prediction. IV 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
2021	A	`conf`	RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting. IROS Ankit Laddha, Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Carl K. Wellington
2020	J	`jnl`	LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting. CoRR Gregory P. Meyer, Jake Charland, Shreyash Pandey, Ankit Laddha, Carlos Vallespi-Gonzalez, Carl K. Wellington
2020	A	`conf`	Learning an Uncertainty-Aware Object Detector for Autonomous Driving. IROS Gregory P. Meyer, Niranjan Thakurdesai
2020	J	`jnl`	MultiXNet: Multiclass Multistage Multimodal Motion Prediction. CoRR 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
2020	J	`jnl`	RV-FuseNet: Range View based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting. CoRR Ankit Laddha, Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez
2020	J	`jnl`	SDVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles. CoRR Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Brian C. Becker
2019	J	`jnl`	An Alternative Probabilistic Interpretation of the Huber Loss. CoRR Gregory P. Meyer
2019	A*	`conf`	LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving. CVPR Gregory P. Meyer, Ankit Laddha, Eric Kee, Carlos Vallespi-Gonzalez, Carl K. Wellington
2019	J	`jnl`	LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving. CoRR Gregory P. Meyer, Ankit Laddha, Eric Kee, Carlos Vallespi-Gonzalez, Carl K. Wellington
2019	J	`jnl`	Learning an Uncertainty-Aware Object Detector for Autonomous Driving. CoRR Gregory P. Meyer, Niranjan Thakurdesai
2019	—	`conf`	Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation. CVPR Workshops Gregory P. Meyer, Jake Charland, Darshan Hegde, Ankit Laddha, Carlos Vallespi-Gonzalez
2019	—	`conf`	Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation. CVPR Workshops Gregory P. Meyer, Jake Charland, Darshan Hegde, Ankit Laddha, Carlos Vallespi-Gonzalez
2019	J	`jnl`	Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation. CoRR Gregory P. Meyer, Jake Charland, Darshan Hegde, Ankit Laddha, Carlos Vallespi-Gonzalez
2018	—	`conf`	Real-Time 3D Face Verification with a Consumer Depth Camera. CRV Gregory P. Meyer, Minh N. Do
2016	Misc	`conf`	Improving face detection with depth. ICASSP Gregory P. Meyer, Steven Alfano, Minh N. Do
2016	—	`—`	Real-time 3D face localization and verification Gregory P. Meyer
2015	—	`conf`	3D GrabCut: Interactive Foreground Extraction for Reconstructed 3D Scenes. 3DOR@Eurographics Gregory P. Meyer, Minh N. Do
2015	A*	`conf`	Robust Model-Based 3D Head Pose Estimation. ICCV Gregory P. Meyer, Shalini Gupta, Iuri Frosio, Dikpal Reddy, Jan Kautz
2013	—	`conf`	Real-time 3D face modeling with a commodity depth camera. ICME Workshops Gregory P. Meyer, Minh N. Do