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 (SP/SPE, 2015)

Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views. - Hao Su 001; Charles Ruizhongtai Qi; Yangyan Li; Leonidas J. Guibas (ICCV, 2015)

Joint embeddings of shapes and images via CNN image purification. - Yangyan Li; Hao Su 001; Charles Ruizhongtai Qi; Noa Fish; Daniel Cohen-Or; Leonidas J. Guibas (ACM Trans. Graph., 2015)

Volumetric and Multi-view CNNs for Object Classification on 3D Data. - Charles Ruizhongtai Qi; Hao Su 001; Matthias Nießner; Angela Dai; Mengyuan Yan; Leonidas J. Guibas (CVPR, 2016)

FPNN: Field Probing Neural Networks for 3D Data. - Yangyan Li; Sören Pirk; Hao Su 001; Charles Ruizhongtai Qi; Leonidas J. Guibas (NIPS, 2016)

Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis. - Angela Dai; Charles Ruizhongtai Qi; Matthias Nießner (CVPR, 2017)

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. - Charles Ruizhongtai Qi; Hao Su 001; Kaichun Mo; Leonidas J. Guibas (CVPR, 2017)

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space. - Charles Ruizhongtai Qi; Li Yi 001; Hao Su 001; Leonidas J. Guibas (NIPS, 2017)

Frustum PointNets for 3D Object Detection From RGB-D Data. - Charles R. Qi; Wei Liu 015; Chenxia Wu; Hao Su 001; Leonidas J. Guibas (CVPR, 2018)

Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks. - Zhihao Jia; Sina Lin; Charles R. Qi; Alex Aiken (ICML, 2018)

Learning Scene Flow in 3D Point Clouds. - Xingyu Liu 001; Charles Ruizhongtai Qi; Leonidas J. Guibas (CoRR, 2018)

FlowNet3D: Learning Scene Flow in 3D Point Clouds. - Xingyu Liu 001; Charles R. Qi; Leonidas J. Guibas (CVPR, 2019)

Generating 3D Adversarial Point Clouds. - Chong Xiang 001; Charles R. Qi; Bo Li 026 (CVPR, 2019)

Order-Aware Generative Modeling Using the 3D-Craft Dataset. - Zhuoyuan Chen; Kavya Srinet; Charles R. Qi; Haoqi Fan 001; Jerry Ma; Larry Zitnick; Demi Guo; Tong Xiao; Saining Xie; Xinlei Chen; Arthur Szlam; Shubham Tulsiani; et al. (ICCV, 2019)

Deep Hough Voting for 3D Object Detection in Point Clouds. - Charles R. Qi; Or Litany; Kaiming He; Leonidas J. Guibas (ICCV, 2019)

KPConv: Flexible and Deformable Convolution for Point Clouds. - Hugues Thomas; Charles R. Qi; Jean-Emmanuel Deschaud; Beatriz Marcotegui; François Goulette; Leonidas J. Guibas (ICCV, 2019)

ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes. - Charles R. Qi; Xinlei Chen; Or Litany; Leonidas J. Guibas (CVPR, 2020)

PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. - Saining Xie; Jiatao Gu; Demi Guo; Charles R. Qi; Leonidas J. Guibas; Or Litany (ECCV (3), 2020)

Object-Centric Multi-View Aggregation. - Shubham Tulsiani; Or Litany; Charles R. Qi; He Wang 010; Leonidas J. Guibas (CoRR, 2020)

Offboard 3D Object Detection From Point Cloud Sequences. - Charles R. Qi; Yin Zhou; Mahyar Najibi; Pei Sun; Khoa Vo 001; Boyang Deng; Dragomir Anguelov (CVPR, 2021)

Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset. - Scott Ettinger; Shuyang Cheng; Benjamin Caine; Chenxi Liu 001; Hang Zhao; Sabeek Pradhan; Yuning Chai; Ben Sapp; Charles R. Qi; Yin Zhou; Zoey Yang; Aurelien Chouard; et al. (ICCV, 2021)

SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation. - Qiangeng Xu; Yin Zhou; Weiyue Wang 002; Charles R. Qi; Dragomir Anguelov (ICCV, 2021)

Revisiting 3D Object Detection From an Egocentric Perspective. - Boyang Deng; Charles R. Qi; Mahyar Najibi; Thomas A. Funkhouser; Yin Zhou; Dragomir Anguelov (NeurIPS, 2021)

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 (CVPR Workshops, 2022)

RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding. - Xuanyu Zhou; Charles R. Qi; Yin Zhou; Dragomir Anguelov (CVPR, 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 (ECCV (10), 2022)

LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds. - Chenxi Liu 001; Zhaoqi Leng; Pei Sun; Shuyang Cheng; Charles R. Qi; Yin Zhou; Mingxing Tan; Dragomir Anguelov (ECCV (21), 2022)

LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds. - Minghua Liu; Yin Zhou; Charles R. Qi; Boqing Gong; Hao Su 001; Dragomir Anguelov (ECCV (39), 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 (ECCV (38), 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 002; Yurong You; Han Deng; et al. (ICRA, 2022)

Multi-Class 3D Object Detection with Single-Class Supervision. - Mao Ye; Chenxi Liu 001; Maoqing Yao; Weiyue Wang 002; Zhaoqi Leng; Charles R. Qi; Dragomir Anguelov (ICRA, 2022)

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 (CVPR, 2023)

MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences. - Yingwei Li 002; Charles R. Qi; Yin Zhou; Chenxi Liu 001; Dragomir Anguelov (CVPR, 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 (CVPR, 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 (ICCV, 2023)

MoST: Multi-modality Scene Tokenization for Motion Prediction. - 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; et al. (CVPR, 2024)

WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting. - Kan Chen; Runzhou Ge; Hang Qiu 001; Rami Ai-Rfou; Charles R. Qi; Xuanyu Zhou; Zoey Yang; Scott Ettinger; Pei Sun; Zhaoqi Leng; Mustafa Baniodeh; Ivan Bogun; et al. (ICRA, 2024)