← Authors

Charles R. Qi

25 papers · 2015–2024 · 4 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (9) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (34) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ”¬ Deep Specialist (11) 🧬 Topic Evolution 🀝 Dynamic Duo (13) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (96) πŸ”₯ Unstoppable (10) ⚑ Prolific Year (5) πŸ’Ž Century Club (25)

Conferences

CVPR (12) ICCV (7) ECCV (5) ICML (1)

Top co-authors

Dragomir Anguelov (13) Yin Zhou (13) Leonidas J. Guibas (8) Hao Su (5) Mahyar Najibi (5) Scott Ettinger (4) Xinchen Yan (4) Leonidas Guibas (3) Or Litany (3) Pei Sun (3)

Keywords

point cloud (11) 3d object detection (6) autonomous driving (6) 3d vision (4) convolutional neural network (3) deep learning (3) object detection (3) 3d segmentation (2) neural network (2) neural radiance field (2) motion forecasting (2) trajectory prediction (2) generative model (2) depth estimation (1) domain adaptation (1) multimodal learning (1) semi-supervised learning (1) generative modeling (1) deformable convolution (1) sensor fusion (1)

Papers

MoST: Multi-Modality Scene Tokenization for Motion Prediction CVPR 2024
NeRDi: Single-View NeRF Synthesis With Language-Guided Diffusion As General Image Priors CVPR 2023
MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences CVPR 2023
GINA-3D: Learning To Generate Implicit Neural Assets in the Wild CVPR 2023
Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving ICCV 2023
LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds ECCV 2022
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds ECCV 2022
RIDDLE: Lidar Data Compression With Range Image Deep Delta Encoding CVPR 2022
Improving the Intra-Class Long-Tail in 3D Detection via Rare Example Mining ECCV 2022
Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving ECCV 2022
Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset ICCV 2021
SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation ICCV 2021
Offboard 3D Object Detection From Point Cloud Sequences CVPR 2021
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding ECCV 2020
ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes CVPR 2020
KPConv: Flexible and Deformable Convolution for Point Clouds ICCV 2019
FlowNet3D: Learning Scene Flow in 3D Point Clouds CVPR 2019
Generating 3D Adversarial Point Clouds CVPR 2019
Order-Aware Generative Modeling Using the 3D-Craft Dataset ICCV 2019
Deep Hough Voting for 3D Object Detection in Point Clouds ICCV 2019
Exploring Hidden Dimensions in Accelerating Convolutional Neural Networks ICML 2018
Frustum PointNets for 3D Object Detection From RGB-D Data CVPR 2018
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation CVPR 2017
Volumetric and Multi-View CNNs for Object Classification on 3D Data CVPR 2016
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained With Rendered 3D Model Views ICCV 2015