Charles R. Qi

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 51

Top Topics

Object Detection

Autonomous Driving

Top Venues

Publications

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 (2024)
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)
Kan Chen, Runzhou Ge, Hang Qiu, Rami Ai-Rfou, Charles R. Qi, Xuanyu Zhou, Zoey Yang, Scott Ettinger, Pei Sun, Zhaoqi Leng, Mustafa Mustafa, Ivan Bogun, Weiyue Wang, Mingxing Tan, Dragomir Anguelov
WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting. CoRR (2023)
Yingwei Li, Charles R. Qi, Yin Zhou, Chenxi Liu, Dragomir Anguelov
MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences. CoRR (2023)
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)
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)
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)
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 (2023)
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)
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 (2023)
Minghua Liu, Yin Zhou, Charles R. Qi, Boqing Gong, Hao Su, Dragomir Anguelov
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds. CoRR (2022)
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)
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)
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)
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 (2022)
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 (2022)
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)
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)
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)
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 (2022)
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)
Xuanyu Zhou, Charles R. Qi, Yin Zhou, Dragomir Anguelov
RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding. CoRR (2022)
Xuanyu Zhou, Charles R. Qi, Yin Zhou, Dragomir Anguelov
RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding. CVPR (2022)
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 (2022)
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 (2022)
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 (2022)
Boyang Deng, Charles R. Qi, Mahyar Najibi, Thomas A. Funkhouser, Yin Zhou, Dragomir Anguelov
Revisiting 3D Object Detection From an Egocentric Perspective. CoRR (2021)
Boyang Deng, Charles R. Qi, Mahyar Najibi, Thomas A. Funkhouser, Yin Zhou, Dragomir Anguelov
Revisiting 3D Object Detection From an Egocentric Perspective. NeurIPS (2021)
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 (2021)
Jingxiao Zheng, Xinwei Shi, Alexander 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 (2021)
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)
Charles R. Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, Dragomir Anguelov
Offboard 3D Object Detection from Point Cloud Sequences. CoRR (2021)
Qiangeng Xu, Yin Zhou, Weiyue Wang, Charles R. Qi, Dragomir Anguelov
SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation. CoRR (2021)
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)
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)
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)
Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. CoRR (2020)
Shubham Tulsiani, Or Litany, Charles R. Qi, He Wang, Leonidas J. Guibas
Object-Centric Multi-View Aggregation. CoRR (2020)
Charles R. Qi, Xinlei Chen, Or Litany, Leonidas J. Guibas
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes. CoRR (2020)
Charles R. Qi, Xinlei Chen, Or Litany, Leonidas J. Guibas
ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes. CVPR (2020)
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)
Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas
Deep Hough Voting for 3D Object Detection in Point Clouds. ICCV (2019)
Xingyu Liu, Charles R. Qi, Leonidas J. Guibas
FlowNet3D: Learning Scene Flow in 3D Point Clouds. CVPR (2019)
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)
Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas
Deep Hough Voting for 3D Object Detection in Point Clouds. CoRR (2019)
Hugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, Leonidas J. Guibas
KPConv: Flexible and Deformable Convolution for Point Clouds. CoRR (2019)
Chong Xiang, Charles R. Qi, Bo Li
Generating 3D Adversarial Point Clouds. CVPR (2019)
Zhihao Jia, Sina Lin, Charles R. Qi, Alex Aiken
Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks. CoRR (2018)
Chong Xiang, Charles R. Qi, Bo Li
Generating 3D Adversarial Point Clouds. CoRR (2018)
Charles R. Qi, Wei Liu, Chenxia Wu, Hao Su, Leonidas J. Guibas
Frustum PointNets for 3D Object Detection From RGB-D Data. CVPR (2018)
Zhihao Jia, Sina Lin, Charles R. Qi, Alex Aiken
Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks. ICML (2018)
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)