Charles R. Qi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
5
Active years
2018–2024
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | CVPR | 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 |
| 2024 | ICRA | 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 Baniodeh, Ivan Bogun, Weiyue Wang, Mingxing Tan, Dragomir Anguelov |
| 2023 | CVPR | 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 |
| 2023 | CVPR | MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences. | Yingwei Li, Charles R. Qi, Yin Zhou, Chenxi Liu, Dragomir Anguelov |
| 2023 | CVPR | 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 |
| 2023 | ICCV | 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 |
| 2022 | CVPR | 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 |
| 2022 | CVPR | RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding. | Xuanyu Zhou, Charles R. Qi, Yin Zhou, Dragomir Anguelov |
| 2022 | ECCV | 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 |
| 2022 | ECCV | 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 |
| 2022 | ECCV | LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds. | Minghua Liu, Yin Zhou, Charles R. Qi, Boqing Gong, Hao Su, Dragomir Anguelov |
| 2022 | ECCV | Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving. | Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov |
| 2022 | ICRA | 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 |
| 2022 | ICRA | Multi-Class 3D Object Detection with Single-Class Supervision. | Mao Ye, Chenxi Liu, Maoqing Yao, Weiyue Wang, Zhaoqi Leng, Charles R. Qi, Dragomir Anguelov |
| 2021 | CVPR | Offboard 3D Object Detection From Point Cloud Sequences. | Charles R. Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, Dragomir Anguelov |
| 2021 | ICCV | 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 |
| 2021 | ICCV | SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation. | Qiangeng Xu, Yin Zhou, Weiyue Wang, Charles R. Qi, Dragomir Anguelov |
| 2020 | CVPR | ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes. | Charles R. Qi, Xinlei Chen, Or Litany, Leonidas J. Guibas |
| 2020 | ECCV | PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. | Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany |
| 2019 | CVPR | FlowNet3D: Learning Scene Flow in 3D Point Clouds. | Xingyu Liu, Charles R. Qi, Leonidas J. Guibas |
| 2019 | CVPR | Generating 3D Adversarial Point Clouds. | Chong Xiang, Charles R. Qi, Bo Li |
| 2019 | ICCV | 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 |
| 2019 | ICCV | Deep Hough Voting for 3D Object Detection in Point Clouds. | Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas |
| 2019 | ICCV | KPConv: Flexible and Deformable Convolution for Point Clouds. | Hugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, Franois Goulette, Leonidas J. Guibas |
| 2018 | CVPR | Frustum PointNets for 3D Object Detection From RGB-D Data. | Charles R. Qi, Wei Liu, Chenxia Wu, Hao Su, Leonidas J. Guibas |
| 2018 | ICML | Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks. | Zhihao Jia, Sina Lin, Charles R. Qi, Alex Aiken |