Charles R. Qi

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

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🗺️ Taxonomy Completionist (32) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

🔬 Deep Specialist (12) 🤝 Dynamic Duo (13) 🧬 Topic Evolution 📈 Trend Setter 🔥 Unstoppable · Silver ⚡ Prolific Year · Productive 🗃️ Keyword Collector (96) 💎 Century Club · Bronze

Venues

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)

Research topics

Computer Vision (17) Analysis (13) Deep Learning (12) Artificial Intelligence (9) Domain-Specific (9) Architectures (7) Core AI (7) Machine Learning (4) Learning Types (4) Models (3) Application Areas (2) Generation (2) Learning Paradigms (2) Techniques (2) Computer Science (1)

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 GINA-3D: Learning To Generate Implicit Neural Assets in the Wild CVPR 2023 MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences CVPR 2023 NeRDi: Single-View NeRF Synthesis With Language-Guided Diffusion As General Image Priors CVPR 2023 Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving ICCV 2023 Improving the Intra-Class Long-Tail in 3D Detection via Rare Example Mining ECCV 2022 LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds ECCV 2022 LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds ECCV 2022 Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving ECCV 2022 RIDDLE: Lidar Data Compression With Range Image Deep Delta Encoding CVPR 2022 Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset ICCV 2021 Offboard 3D Object Detection From Point Cloud Sequences CVPR 2021 SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation ICCV 2021 ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes CVPR 2020 PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding ECCV 2020 Deep Hough Voting for 3D Object Detection in Point Clouds ICCV 2019 FlowNet3D: Learning Scene Flow in 3D Point Clouds CVPR 2019 Generating 3D Adversarial Point Clouds CVPR 2019 KPConv: Flexible and Deformable Convolution for Point Clouds ICCV 2019 Order-Aware Generative Modeling Using the 3D-Craft Dataset 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