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ORCIDCharles R. Qi
Charles Ruizhongtai Qi
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- affiliation: Stanford University, CA, USA
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2020 – today
- 2024
[c34]Norman Mu, Jingwei Ji, Zhenpei Yang, Nate Harada, Haotian Tang, Kan Chen, Charles R. Qi, Runzhou Ge, Kratarth Goel, Zoey Yang, Scott Ettinger, Rami Al-Rfou, Dragomir Anguelov, Yin Zhou:
MoST: Multi-modality Scene Tokenization for Motion Prediction. CVPR 2024: 14988-14999- [c33]Kan Chen, Runzhou Ge, Hang Qiu, Rami Ai-Rfou, Charles R. Qi, Xuanyu Zhou, Zoey Yang, Scott Ettinger, Pei Sun, Zhaoqi Leng, Mustafa Baniodeh, Ivan Bogun, Weiyue Wang, Mingxing Tan, Dragomir Anguelov:
WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting. ICRA 2024: 4766-4773 - [i33]Norman Mu, Jingwei Ji, Zhenpei Yang, Nate Harada, Haotian Tang, Kan Chen, Charles R. Qi, Runzhou Ge, Kratarth Goel, Zoey Yang, Scott Ettinger, Rami Al-Rfou, Dragomir Anguelov, Yin Zhou:
MoST: Multi-modality Scene Tokenization for Motion Prediction. CoRR abs/2404.19531 (2024) - 2023
- [c32]Bokui Shen, Xinchen Yan, Charles R. Qi, Mahyar Najibi, Boyang Deng, Leonidas J. Guibas, Yin Zhou, Dragomir Anguelov:
GINA-3D: Learning to Generate Implicit Neural Assets in the Wild. CVPR 2023: 4913-4926 - [c31]Yingwei Li, Charles R. Qi, Yin Zhou, Chenxi Liu, Dragomir Anguelov:
MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences. CVPR 2023: 9329-9339 - [c30]Congyue Deng, Chiyu Max Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas J. Guibas, Dragomir Anguelov:
NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors. CVPR 2023: 20637-20647 - [c29]Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov:
Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving. ICCV 2023: 8568-8578 - [i32]Bokui Shen, Xinchen Yan, Charles R. Qi, Mahyar Najibi, Boyang Deng, Leonidas J. Guibas, Yin Zhou, Dragomir Anguelov:
GINA-3D: Learning to Generate Implicit Neural Assets in the Wild. CoRR abs/2304.02163 (2023) - [i31]Kan Chen, Runzhou Ge, Hang Qiu, Rami Ai-Rfou, Charles R. Qi, Xuanyu Zhou, Zoey Yang, Scott Ettinger, Pei Sun, Zhaoqi Leng, Mustafa Baniodeh, Ivan Bogun, Weiyue Wang, Mingxing Tan, Dragomir Anguelov:
WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting. CoRR abs/2304.03834 (2023) - [i30]Yingwei Li, Charles R. Qi, Yin Zhou, Chenxi Liu, Dragomir Anguelov:
MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences. CoRR abs/2306.03206 (2023) - [i29]Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov:
Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving. CoRR abs/2309.14491 (2023) - 2022
- [c28]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:
Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving. CVPR Workshops 2022: 4477-4486 - [c27]Xuanyu Zhou, Charles R. Qi, Yin Zhou, Dragomir Anguelov:
RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding. CVPR 2022: 17191-17200 - [c26]Minghua Liu, Yin Zhou, Charles R. Qi, Boqing Gong, Hao Su, Dragomir Anguelov:
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds. ECCV (39) 2022: 70-89 - [c25]Chiyu Max Jiang, Mahyar Najibi, Charles R. Qi, Yin Zhou, Dragomir Anguelov:
Improving the Intra-class Long-Tail in 3D Detection via Rare Example Mining. ECCV (10) 2022: 158-175 - [c24]Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov:
LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds. ECCV (21) 2022: 158-175 - [c23]Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov:
Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving. ECCV (38) 2022: 424-443 - [c22]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:
Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking. ICRA 2022: 366-373 - [c21]Mao Ye, Chenxi Liu, Maoqing Yao, Weiyue Wang, Zhaoqi Leng, Charles R. Qi, Dragomir Anguelov:
Multi-Class 3D Object Detection with Single-Class Supervision. ICRA 2022: 5123-5130 - [i28]Mao Ye, Chenxi Liu, Maoqing Yao, Weiyue Wang, Zhaoqi Leng, Charles R. Qi, Dragomir Anguelov:
Multi-Class 3D Object Detection with Single-Class Supervision. CoRR abs/2205.05703 (2022) - [i27]Xuanyu Zhou, Charles R. Qi, Yin Zhou, Dragomir Anguelov:
RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding. CoRR abs/2206.01738 (2022) - [i26]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:
Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking. CoRR abs/2206.03666 (2022) - [i25]Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov:
LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds. CoRR abs/2210.05018 (2022) - [i24]Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov:
Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving. CoRR abs/2210.08061 (2022) - [i23]Minghua Liu, Yin Zhou, Charles R. Qi, Boqing Gong, Hao Su, Dragomir Anguelov:
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds. CoRR abs/2210.08064 (2022) - [i22]Chiyu Max Jiang, Mahyar Najibi, Charles R. Qi, Yin Zhou, Dragomir Anguelov:
Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining. CoRR abs/2210.08375 (2022) - [i21]Congyue Deng, Chiyu Max Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas J. Guibas, Dragomir Anguelov:
NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors. CoRR abs/2212.03267 (2022) - 2021
- [c20]Charles R. Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, Dragomir Anguelov:
Offboard 3D Object Detection From Point Cloud Sequences. CVPR 2021: 6134-6144 - [c19]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:
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset. ICCV 2021: 9690-9699 - [c18]Qiangeng Xu, Yin Zhou, Weiyue Wang, Charles R. Qi, Dragomir Anguelov:
SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation. ICCV 2021: 15426-15436 - [c17]Boyang Deng, Charles R. Qi, Mahyar Najibi, Thomas A. Funkhouser, Yin Zhou, Dragomir Anguelov:
Revisiting 3D Object Detection From an Egocentric Perspective. NeurIPS 2021: 26066-26079 - [i20]Charles R. Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, Dragomir Anguelov:
Offboard 3D Object Detection from Point Cloud Sequences. CoRR abs/2103.05073 (2021) - [i19]Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Benjamin Sapp, Charles R. Qi, Yin Zhou, Zoey Yang, Aurelien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov:
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset. CoRR abs/2104.10133 (2021) - [i18]Qiangeng Xu, Yin Zhou, Weiyue Wang, Charles R. Qi, Dragomir Anguelov:
SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation. CoRR abs/2108.06709 (2021) - [i17]Boyang Deng, Charles R. Qi, Mahyar Najibi, Thomas A. Funkhouser, Yin Zhou, Dragomir Anguelov:
Revisiting 3D Object Detection From an Egocentric Perspective. CoRR abs/2112.07787 (2021) - [i16]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:
Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving. CoRR abs/2112.12141 (2021) - 2020
- [c16]Charles R. Qi, Xinlei Chen, Or Litany, Leonidas J. Guibas:
ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes. CVPR 2020: 4403-4412 - [c15]Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany:
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. ECCV (3) 2020: 574-591 - [i15]Charles R. Qi, Xinlei Chen, Or Litany, Leonidas J. Guibas:
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes. CoRR abs/2001.10692 (2020) - [i14]Shubham Tulsiani, Or Litany, Charles R. Qi, He Wang, Leonidas J. Guibas:
Object-Centric Multi-View Aggregation. CoRR abs/2007.10300 (2020) - [i13]Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany:
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. CoRR abs/2007.10985 (2020)
2010 – 2019
- 2019
- [c14]Xingyu Liu, Charles R. Qi, Leonidas J. Guibas:
FlowNet3D: Learning Scene Flow in 3D Point Clouds. CVPR 2019: 529-537 - [c13]Chong Xiang, Charles R. Qi, Bo Li:
Generating 3D Adversarial Point Clouds. CVPR 2019: 9136-9144 - [c12]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:
Order-Aware Generative Modeling Using the 3D-Craft Dataset. ICCV 2019: 1764-1773 - [c11]Hugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, Leonidas J. Guibas:
KPConv: Flexible and Deformable Convolution for Point Clouds. ICCV 2019: 6410-6419 - [c10]Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas:
Deep Hough Voting for 3D Object Detection in Point Clouds. ICCV 2019: 9276-9285 - [i12]Hugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, Leonidas J. Guibas:
KPConv: Flexible and Deformable Convolution for Point Clouds. CoRR abs/1904.08889 (2019) - [i11]Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas:
Deep Hough Voting for 3D Object Detection in Point Clouds. CoRR abs/1904.09664 (2019) - 2018
- [c9]Charles R. Qi, Wei Liu, Chenxia Wu, Hao Su, Leonidas J. Guibas:
Frustum PointNets for 3D Object Detection From RGB-D Data. CVPR 2018: 918-927 - [c8]Zhihao Jia, Sina Lin, Charles R. Qi, Alex Aiken:
Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks. ICML 2018: 2279-2288 - [i10]Zhihao Jia, Sina Lin, Charles R. Qi, Alex Aiken:
Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks. CoRR abs/1802.04924 (2018) - [i9]Xingyu Liu, Charles Ruizhongtai Qi, Leonidas J. Guibas:
Learning Scene Flow in 3D Point Clouds. CoRR abs/1806.01411 (2018) - [i8]Chong Xiang, Charles R. Qi, Bo Li:
Generating 3D Adversarial Point Clouds. CoRR abs/1809.07016 (2018) - 2017
- [c7]Charles Ruizhongtai Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas:
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. CVPR 2017: 77-85 - [c6]Angela Dai, Charles Ruizhongtai Qi, Matthias Nießner:
Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis. CVPR 2017: 6545-6554 - [c5]Charles Ruizhongtai Qi, Li Yi, Hao Su, Leonidas J. Guibas:
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space. NIPS 2017: 5099-5108 - [i7]Charles Ruizhongtai Qi, Li Yi, Hao Su, Leonidas J. Guibas:
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space. CoRR abs/1706.02413 (2017) - [i6]Charles Ruizhongtai Qi, Wei Liu, Chenxia Wu, Hao Su, Leonidas J. Guibas:
Frustum PointNets for 3D Object Detection from RGB-D Data. CoRR abs/1711.08488 (2017) - 2016
- [c4]Charles Ruizhongtai Qi, Hao Su, Matthias Nießner, Angela Dai, Mengyuan Yan, Leonidas J. Guibas:
Volumetric and Multi-view CNNs for Object Classification on 3D Data. CVPR 2016: 5648-5656 - [c3]Yangyan Li, Sören Pirk, Hao Su, Charles Ruizhongtai Qi, Leonidas J. Guibas:
FPNN: Field Probing Neural Networks for 3D Data. NIPS 2016: 307-315 - [i5]Charles Ruizhongtai Qi, Hao Su, Matthias Nießner, Angela Dai, Mengyuan Yan, Leonidas J. Guibas:
Volumetric and Multi-View CNNs for Object Classification on 3D Data. CoRR abs/1604.03265 (2016) - [i4]Yangyan Li, Sören Pirk, Hao Su, Charles Ruizhongtai Qi, Leonidas J. Guibas:
FPNN: Field Probing Neural Networks for 3D Data. CoRR abs/1605.06240 (2016) - [i3]Angela Dai, Charles Ruizhongtai Qi, Matthias Nießner:
Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis. CoRR abs/1612.00101 (2016) - [i2]Charles Ruizhongtai Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas:
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. CoRR abs/1612.00593 (2016) - 2015
- [j1]Yangyan Li, Hao Su, Charles Ruizhongtai Qi, Noa Fish, Daniel Cohen-Or, Leonidas J. Guibas:
Joint embeddings of shapes and images via CNN image purification. ACM Trans. Graph. 34(6): 234:1-234:12 (2015) - [c2]Fernando A. Mujica, William J. Esposito, Alex Gonzalez, Charles R. Qi, Chris Vassos, Maisy Wieman, Reggie Wilcox, Gregory T. A. Kovacs, Ronald W. Schafer:
Teaching digital signal processing with Stanford's Lab-in-a-Box. SP/SPE 2015: 307-312 - [c1]Hao Su, Charles Ruizhongtai Qi, Yangyan Li, Leonidas J. Guibas:
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views. ICCV 2015: 2686-2694 - [i1]Hao Su, Charles Ruizhongtai Qi, Yangyan Li, Leonidas J. Guibas:
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views. CoRR abs/1505.05641 (2015)
Coauthor Index
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