Charles R. Qi

@inproceedings{najibi2023unsupervised, title={Unsupervised 3d perception with 2d vision-language distillation for autonomous driving}, author={Najibi, Mahyar and Ji, Jingwei and Zhou, Yin and Qi, Charles R and Yan, Xinchen and Ettinger, Scott and Anguelov, Dragomir}, booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision}, pages={8602--8612}, year={2023} }

@inproceedings{li2023modar, title={MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences}, author={Li, Yingwei and Qi, Charles R and Zhou, Yin and Liu, Chenxi and Anguelov, Dragomir}, booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, pages={9329--9339}, year={2023} }

@inproceedings{shen2023gina, title={GINA-3D: Learning to Generate Implicit Neural Assets in the Wild}, author={Shen, Bokui and Yan, Xinchen and Qi, Charles R and Najibi, Mahyar and Deng, Boyang and Guibas, Leonidas and Zhou, Yin and Anguelov, Dragomir}, booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, pages={4913--4926}, year={2023} }

@inproceedings{deng2023nerdi, title={Nerdi: Single-view nerf synthesis with language-guided diffusion as general image priors}, author={Deng, Congyue and Jiang, Chiyu and Qi, Charles R and Yan, Xinchen and Zhou, Yin and Guibas, Leonidas and Anguelov, Dragomir and others}, booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, pages={20637--20647}, year={2023} }

@article{liu2022less, title={LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds}, author={Liu, Minghua and Zhou, Yin and Qi, Charles R and Gong, Boqing and Su, Hao and Anguelov, Dragomir}, journal={arXiv preprint arXiv:2210.08064}, year={2022} }

@article{jiang2022improving, title={Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining}, author={Jiang, Chiyu Max and Najibi, Mahyar and Qi, Charles R and Zhou, Yin and Anguelov, Dragomir}, journal={arXiv preprint arXiv:2210.08375}, year={2022} }

@inproceedings{zhou2022riddle, title={RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding}, author={Zhou, Xuanyu and Qi, Charles R and Yin, Zhou and Anguelov, Dragomir}, journal={Proc. Computer Vision and Pattern Recognition (CVPR), IEEE}, year={2022} }

@inproceedings{deng2021revisiting, title={Revisiting 3D Object Detection From an Egocentric Perspective}, author={Deng, Boyang and Qi, Charles R and Najibi, Mahyar and Funkhouser, Thomas and Zhou, Yin and Anguelov, Dragomir}, booktitle={Thirty-Fifth Conference on Neural Information Processing Systems}, year={2021} }

@inproceedings{xu2021spg, title={SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation}, author={Xu, Qiangeng and Zhou, Yin and Wang, Weiyue and Qi, Charles R and Anguelov, Dragomir}, booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision}, pages={15446--15456}, year={2021} }

@article{ettinger2021large, title={Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset}, author={Ettinger, Scott and Cheng, Shuyang and Caine, Benjamin and Liu, Chenxi and Zhao, Hang and Pradhan, Sabeek and Chai, Yuning and Sapp, Ben and Qi, Charles and Zhou, Yin and others}, journal={arXiv preprint arXiv:2104.10133}, year={2021} }

@article{qi2021offboard, title={Offboard 3D Object Detection from Point Cloud Sequences}, author={Qi, Charles R and Zhou, Yin and Najibi, Mahyar and Sun, Pei and Vo, Khoa and Deng, Boyang and Anguelov, Dragomir}, journal={arXiv preprint arXiv:2103.05073}, year={2021} }

@article{xie2020pointcontrast, title={PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding}, author={Xie, Saining and Gu, Jiatao and Guo, Demi and Qi, Charles R and Guibas, Leonidas J and Litany, Or}, journal={arXiv preprint arXiv:2007.10985}, year={2020} }

@article{qi2020imvotenet, title={ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes}, author={Qi, Charles R and Chen, Xinlei and Litany, Or and Guibas, Leonidas J}, journal={arXiv preprint arXiv:2001.10692}, year={2020} }

Best Paper Award Nomination (one of the seven among 1,075 accepted papers) [link]

@article{qi2019deep, title={Deep Hough Voting for 3D Object Detection in Point Clouds}, author={Qi, Charles R and Litany, Or and He, Kaiming and Guibas, Leonidas J}, journal={arXiv preprint arXiv:1904.09664}, year={2019} }

@article{thomas2019kpconv, title={KPConv: Flexible and Deformable Convolution for Point Clouds}, author={Thomas, Hugues and Qi, Charles R, Deschaud, Jean-Emmanuel and Marcotegui, Beatriz and Goulette, Francois and Guibas, Leonidas J}, journal={arXiv preprint arXiv:1904.08889}, year={2019} }

@article{xiang2019adv, title={Generating 3D Adversarial Point Clouds}, author={Xiang, Chong and and Qi, Charles R and Li, Bo}, journal={Proc. Computer Vision and Pattern Recognition (CVPR), IEEE}, year={2019} }

@article{liu2019flownet3d, title={FlowNet3D: Learning Scene Flow in 3D Point Clouds}, author={Liu, Xingyu and and Qi, Charles R and Guibas, Leonidas J}, journal={Proc. Computer Vision and Pattern Recognition (CVPR), IEEE}, year={2019} }

Our method is simple, efficient and effective, ranking at first place for KITTI 3D object detection benchmark on all categories (11/27/2017).

@article{qi2017frustum, title={Frustum PointNets for 3D Object Detection from RGB-D Data}, author={Qi, Charles R and Liu, Wei and Wu, Chenxia and Su, Hao and Guibas, Leonidas J}, journal={Proc. Computer Vision and Pattern Recognition (CVPR), IEEE}, year={2018} }

@article{qi2017pointnetplusplus, title={PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space}, author={Qi, Charles R and Yi, Li and Su, Hao and Guibas, Leonidas J}, journal={arXiv preprint arXiv:1706.02413}, year={2017} }

@article{qi2017pointnet, title={PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation}, author={Qi, Charles R and Su, Hao and Mo, Kaichun and Guibas, Leonidas J}, journal={Proc. Computer Vision and Pattern Recognition (CVPR), IEEE}, year={2017} }

@article{dai2017complete, title={Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis}, author={Dai, Angela and Qi, Charles Ruizhongtai and Nie{\ss}ner, Matthias}, journal={Proc. Computer Vision and Pattern Recognition (CVPR), IEEE}, year={2017} }

@inproceedings{qi2016volumetric, author = {Charles Ruizhongtai Qi and Hao Su and Matthias Nie{\ss}ner and Angela Dai and Mengyuan Yan and Leonidas Guibas}, title = {Volumetric and Multi-View CNNs for Object Classification on 3D Data}, booktitle = {Proc. Computer Vision and Pattern Recognition (CVPR), IEEE}, year = {2016} }

@article{li2015jointembedding, Author = {Li, Yangyan and Su, Hao and Qi, Charles Ruizhongtai and Fish, Noa and Cohen-Or, Daniel and Guibas, Leonidas J.}, Title = {Joint Embeddings of Shapes and Images via CNN Image Purification}, Journal = {ACM Trans. Graph.}, Year = {2015} }

@InProceedings{Su_2015_ICCV, Title={Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views}, Author={Su, Hao and Qi, Charles R. and Li, Yangyan and Guibas, Leonidas J.}, Booktitle={The IEEE International Conference on Computer Vision (ICCV)}, month = {December}, Year= {2015} }