Qi, Charles R.

21 publications

CVPR 2024 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, Dragomir Anguelov, Yin Zhou

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 Guibas, Yin Zhou, Dragomir Anguelov

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

CVPR 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 Guibas, Dragomir Anguelov

ICCV 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

ECCV 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 2022 LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds Minghua Liu, Yin Zhou, Charles R. Qi, Boqing Gong, Hao Su, Dragomir Anguelov

ECCV 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

ECCV 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

CVPRW 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

CVPR 2022 RIDDLE: LiDAR Data Compression with Range Image Deep Delta Encoding Xuanyu Zhou, Charles R. Qi, Yin Zhou, Dragomir Anguelov

ICCV 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, Aurélien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov

CVPR 2021 Offboard 3D Object Detection from Point Cloud Sequences Charles R. Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, Dragomir Anguelov

NeurIPS 2021 Revisiting 3D Object Detection from an Egocentric Perspective Boyang Deng, Charles R Qi, Mahyar Najibi, Thomas Funkhouser, Yin Zhou, Dragomir Anguelov

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

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

ICML 2018 Exploring Hidden Dimensions in Accelerating Convolutional Neural Networks Zhihao Jia, Sina Lin, Charles R. Qi, Alex Aiken

CVPR 2017 PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation Charles R. Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas

NeurIPS 2016 FPNN: Field Probing Neural Networks for 3D Data Yangyan Li, Soeren Pirk, Hao Su, Charles R Qi, Leonidas Guibas

CVPR 2016 Volumetric and Multi-View CNNs for Object Classification on 3D Data Charles R. Qi, Hao Su, Matthias Niessner, Angela Dai, Mengyuan Yan, Leonidas J. Guibas

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