Charles R. Qi
25 papers · 2015–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (4) π Academic Marathon (9) πΊοΈ Taxonomy Completionist (34)
πΊοΈ
Taxonomy Completionist
(34)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π¬
Deep Specialist
(11)
π§¬
Topic Evolution
π€
Dynamic Duo
(13)
π
Trend Setter
ποΈ
Keyword Collector
(96)
π₯
Unstoppable
(10)
β‘
Prolific Year
(5)
π
Century Club
(25)
Conferences
CVPR (12)
ICCV (7)
ECCV (5)
ICML (1)
Top co-authors
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