Charles R. Qi

papers

2,659

total citations

papers (15)

PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding

ECCV 2020arXiv

760

citations

Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset

ICCV 2021arXiv

743

citations

ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes

CVPR 2020arXiv

289

citations

Offboard 3D Object Detection From Point Cloud Sequences

CVPR 2021arXiv

204

citations

NeRDi: Single-View NeRF Synthesis With Language-Guided Diffusion As General Image Priors

CVPR 2023arXiv

185

citations

SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation

ICCV 2021arXiv

169

citations

Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving

ECCV 2022arXiv

citations

LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds

ECCV 2022arXiv

citations

Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving

ICCV 2023arXiv

citations

MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences

CVPR 2023arXiv

citations

LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds

ECCV 2022arXiv

citations

Charles R. Qi

papers (15)

PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding

Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset

ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes

Offboard 3D Object Detection From Point Cloud Sequences

NeRDi: Single-View NeRF Synthesis With Language-Guided Diffusion As General Image Priors

SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation

Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving

LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds

Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving

RIDDLE: Lidar Data Compression With Range Image Deep Delta Encoding

GINA-3D: Learning To Generate Implicit Neural Assets in the Wild

Improving the Intra-Class Long-Tail in 3D Detection via Rare Example Mining

MoST: Multi-Modality Scene Tokenization for Motion Prediction

MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences

LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds

papers (15)

PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding

Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset

ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes

Offboard 3D Object Detection From Point Cloud Sequences

NeRDi: Single-View NeRF Synthesis With Language-Guided Diffusion As General Image Priors

SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation

Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving

LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds

Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving

RIDDLE: Lidar Data Compression With Range Image Deep Delta Encoding

GINA-3D: Learning To Generate Implicit Neural Assets in the Wild

Improving the Intra-Class Long-Tail in 3D Detection via Rare Example Mining

MoST: Multi-Modality Scene Tokenization for Motion Prediction

MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences

LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds