Charles R. Qi

According to our database, Charles R. Qi authored at least 36 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting.

Kan Chen, Runzhou Ge, Hang Qiu, Rami Ai-Rfou, Charles R. Qi, Xuanyu Zhou, Zoey Yang, Scott Ettinger, Pei Sun, Zhaoqi Leng, Mustafa Mustafa, Ivan Bogun, Weiyue Wang, Mingxing Tan, Dragomir Anguelov

CoRR, 2023

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

Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Bokui Shen, Xinchen Yan, Charles R. Qi, Mahyar Najibi, Boyang Deng, Leonidas J. Guibas, Yin Zhou, Dragomir Anguelov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Yingwei Li, Charles R. Qi, Yin Zhou, Chenxi Liu, Dragomir Anguelov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors.

Congyue Deng, Chiyu Max Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas J. Guibas, Dragomir Anguelov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Multi-Class 3D Object Detection with Single-Class Supervision.

Mao Ye, Chenxi Liu, Maoqing Yao, Weiyue Wang, Zhaoqi Leng, Charles R. Qi, Dragomir Anguelov

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking.

Longlong Jing, Ruichi Yu, Henrik Kretzschmar, Kang Li, Charles R. Qi, Hang Zhao, Alper Ayvaci, Xu Chen, Dillon Cower, Yingwei Li, Yurong You, Han Deng, Congcong Li, Dragomir Anguelov

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving.

Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov

Proceedings of the Computer Vision - ECCV 2022, 2022

LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds.

Minghua Liu, Yin Zhou, Charles R. Qi, Boqing Gong, Hao Su, Dragomir Anguelov

Proceedings of the Computer Vision - ECCV 2022, 2022

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

Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov

Proceedings of the Computer Vision - ECCV 2022, 2022

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

Chiyu Max Jiang, Mahyar Najibi, Charles R. Qi, Yin Zhou, Dragomir Anguelov

Proceedings of the Computer Vision - ECCV 2022, 2022

RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding.

Xuanyu Zhou, Charles R. Qi, Yin Zhou, Dragomir Anguelov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving.

Jingxiao Zheng, Xinwei Shi, Alexander N. Gorban, Junhua Mao, Yang Song, Charles R. Qi, Ting Liu, Visesh Chari, Andre Cornman, Yin Zhou, Congcong Li, Dragomir Anguelov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Revisiting 3D Object Detection From an Egocentric Perspective.

Boyang Deng, Charles R. Qi, Mahyar Najibi, Thomas A. Funkhouser, Yin Zhou, Dragomir Anguelov

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Qiangeng Xu, Yin Zhou, Weiyue Wang, Charles R. Qi, Dragomir Anguelov

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Ben Sapp, Charles R. Qi, Yin Zhou, Zoey Yang, Aurelien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Offboard 3D Object Detection From Point Cloud Sequences.

Charles R. Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, Dragomir Anguelov

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Object-Centric Multi-View Aggregation.

Shubham Tulsiani, Or Litany, Charles R. Qi, He Wang, Leonidas J. Guibas

CoRR, 2020

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

Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany

Proceedings of the Computer Vision - ECCV 2020, 2020

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

Charles R. Qi, Xinlei Chen, Or Litany, Leonidas J. Guibas

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

KPConv: Flexible and Deformable Convolution for Point Clouds.

Hugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, Leonidas J. Guibas

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Deep Hough Voting for 3D Object Detection in Point Clouds.

Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Order-Aware Generative Modeling Using the 3D-Craft Dataset.

Zhuoyuan Chen, Kavya Srinet, Charles R. Qi, Haoqi Fan, Jerry Ma, Larry Zitnick, Demi Guo, Tong Xiao, Saining Xie, Xinlei Chen, Arthur Szlam, Shubham Tulsiani, Haonan Yu, Jonathan Gray

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Generating 3D Adversarial Point Clouds.

Chong Xiang, Charles R. Qi, Bo Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

FlowNet3D: Learning Scene Flow in 3D Point Clouds.

Xingyu Liu, Charles R. Qi, Leonidas J. Guibas

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Learning Scene Flow in 3D Point Clouds.

Xingyu Liu, Charles Ruizhongtai Qi, Leonidas J. Guibas

CoRR, 2018

Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks.

Zhihao Jia, Sina Lin, Charles R. Qi, Alex Aiken

Proceedings of the 35th International Conference on Machine Learning, 2018

Frustum PointNets for 3D Object Detection From RGB-D Data.

Charles R. Qi, Wei Liu, Chenxia Wu, Hao Su, Leonidas J. Guibas

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space.

Charles Ruizhongtai Qi, Li Yi, Hao Su, Leonidas J. Guibas

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation.

Charles Ruizhongtai Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis.

Angela Dai, Charles Ruizhongtai Qi, Matthias Nießner

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

FPNN: Field Probing Neural Networks for 3D Data.

Yangyan Li, Sören Pirk, Hao Su, Charles Ruizhongtai Qi, Leonidas J. Guibas

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Volumetric and Multi-view CNNs for Object Classification on 3D Data.

Charles Ruizhongtai Qi, Hao Su, Matthias Nießner, Angela Dai, Mengyuan Yan, Leonidas J. Guibas

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Joint embeddings of shapes and images via CNN image purification.

Yangyan Li, Hao Su, Charles Ruizhongtai Qi, Noa Fish, Daniel Cohen-Or, Leonidas J. Guibas

ACM Trans. Graph., 2015

Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views.

Hao Su, Charles Ruizhongtai Qi, Yangyan Li, Leonidas J. Guibas

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Teaching digital signal processing with Stanford's Lab-in-a-Box.

Fernando A. Mujica, William J. Esposito, Alex Gonzalez, Charles R. Qi, Chris Vassos, Maisy Wieman, Reggie Wilcox, Gregory T. A. Kovacs, Ronald W. Schafer

Proceedings of the IEEE Signal Processing and Signal Processing Education Workshop, 2015