Charles R. Qi - RankMe

53 papers A* 21Journal 25Unranked 7

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	MoST: Multi-modality Scene Tokenization for Motion Prediction. CVPR 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	J	`jnl`	MoST: Multi-modality Scene Tokenization for Motion Prediction. CoRR 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	A*	`conf`	WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting. ICRA 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	A*	`conf`	GINA-3D: Learning to Generate Implicit Neural Assets in the Wild. CVPR Bokui Shen, Xinchen Yan, Charles R. Qi, Mahyar Najibi, Boyang Deng, Leonidas J. Guibas, Yin Zhou, Dragomir Anguelov
2023	J	`jnl`	GINA-3D: Learning to Generate Implicit Neural Assets in the Wild. CoRR Bokui Shen, Xinchen Yan, Charles R. Qi, Mahyar Najibi, Boyang Deng, Leonidas J. Guibas, Yin Zhou, Dragomir Anguelov
2023	A*	`conf`	MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences. CVPR Yingwei Li, Charles R. Qi, Yin Zhou, Chenxi Liu, Dragomir Anguelov
2023	J	`jnl`	MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences. CoRR Yingwei Li, Charles R. Qi, Yin Zhou, Chenxi Liu, Dragomir Anguelov
2023	A*	`conf`	NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors. CVPR Congyue Deng, Chiyu Max Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas J. Guibas, Dragomir Anguelov
2023	A*	`conf`	Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving. ICCV Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov
2023	J	`jnl`	Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving. CoRR Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov
2023	J	`jnl`	WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting. CoRR 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
2022	A*	`conf`	Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking. ICRA 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	J	`jnl`	Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking. CoRR 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	—	`conf`	Improving the Intra-class Long-Tail in 3D Detection via Rare Example Mining. ECCV (10) Chiyu Max Jiang, Mahyar Najibi, Charles R. Qi, Yin Zhou, Dragomir Anguelov
2022	J	`jnl`	Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining. CoRR Chiyu Max Jiang, Mahyar Najibi, Charles R. Qi, Yin Zhou, Dragomir Anguelov
2022	—	`conf`	LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds. ECCV (39) Minghua Liu, Yin Zhou, Charles R. Qi, Boqing Gong, Hao Su, Dragomir Anguelov
2022	J	`jnl`	LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds. CoRR Minghua Liu, Yin Zhou, Charles R. Qi, Boqing Gong, Hao Su, Dragomir Anguelov
2022	—	`conf`	LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds. ECCV (21) Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov
2022	J	`jnl`	LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds. CoRR Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov
2022	—	`conf`	Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving. ECCV (38) Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov
2022	J	`jnl`	Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving. CoRR Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov
2022	A*	`conf`	Multi-Class 3D Object Detection with Single-Class Supervision. ICRA Mao Ye, Chenxi Liu, Maoqing Yao, Weiyue Wang, Zhaoqi Leng, Charles R. Qi, Dragomir Anguelov
2022	J	`jnl`	Multi-Class 3D Object Detection with Single-Class Supervision. CoRR Mao Ye, Chenxi Liu, Maoqing Yao, Weiyue Wang, Zhaoqi Leng, Charles R. Qi, Dragomir Anguelov
2022	—	`conf`	Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving. CVPR Workshops 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	J	`jnl`	NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors. CoRR Congyue Deng, Chiyu Max Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas J. Guibas, Dragomir Anguelov
2022	A*	`conf`	RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding. CVPR Xuanyu Zhou, Charles R. Qi, Yin Zhou, Dragomir Anguelov
2022	J	`jnl`	RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding. CoRR Xuanyu Zhou, Charles R. Qi, Yin Zhou, Dragomir Anguelov
2021	A*	`conf`	Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset. ICCV 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	J	`jnl`	Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset. CoRR 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
2021	J	`jnl`	Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving. CoRR 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
2021	A*	`conf`	Offboard 3D Object Detection From Point Cloud Sequences. CVPR Charles R. Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, Dragomir Anguelov
2021	J	`jnl`	Offboard 3D Object Detection from Point Cloud Sequences. CoRR Charles R. Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, Dragomir Anguelov
2021	A*	`conf`	Revisiting 3D Object Detection From an Egocentric Perspective. NeurIPS Boyang Deng, Charles R. Qi, Mahyar Najibi, Thomas A. Funkhouser, Yin Zhou, Dragomir Anguelov
2021	J	`jnl`	Revisiting 3D Object Detection From an Egocentric Perspective. CoRR Boyang Deng, Charles R. Qi, Mahyar Najibi, Thomas A. Funkhouser, Yin Zhou, Dragomir Anguelov
2021	A*	`conf`	SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation. ICCV Qiangeng Xu, Yin Zhou, Weiyue Wang, Charles R. Qi, Dragomir Anguelov
2021	J	`jnl`	SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation. CoRR Qiangeng Xu, Yin Zhou, Weiyue Wang, Charles R. Qi, Dragomir Anguelov
2020	A*	`conf`	ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes. CVPR Charles R. Qi, Xinlei Chen, Or Litany, Leonidas J. Guibas
2020	J	`jnl`	ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes. CoRR Charles R. Qi, Xinlei Chen, Or Litany, Leonidas J. Guibas
2020	J	`jnl`	Object-Centric Multi-View Aggregation. CoRR Shubham Tulsiani, Or Litany, Charles R. Qi, He Wang, Leonidas J. Guibas
2020	—	`conf`	PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. ECCV (3) Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany
2020	J	`jnl`	PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. CoRR Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany
2019	A*	`conf`	Deep Hough Voting for 3D Object Detection in Point Clouds. ICCV Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas
2019	J	`jnl`	Deep Hough Voting for 3D Object Detection in Point Clouds. CoRR Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas
2019	A*	`conf`	FlowNet3D: Learning Scene Flow in 3D Point Clouds. CVPR Xingyu Liu, Charles R. Qi, Leonidas J. Guibas
2019	A*	`conf`	Generating 3D Adversarial Point Clouds. CVPR Chong Xiang, Charles R. Qi, Bo Li
2019	A*	`conf`	KPConv: Flexible and Deformable Convolution for Point Clouds. ICCV Hugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, Leonidas J. Guibas
2019	J	`jnl`	KPConv: Flexible and Deformable Convolution for Point Clouds. CoRR Hugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, Leonidas J. Guibas
2019	A*	`conf`	Order-Aware Generative Modeling Using the 3D-Craft Dataset. ICCV 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
2018	A*	`conf`	Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks. ICML Zhihao Jia, Sina Lin, Charles R. Qi, Alex Aiken
2018	J	`jnl`	Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks. CoRR Zhihao Jia, Sina Lin, Charles R. Qi, Alex Aiken
2018	A*	`conf`	Frustum PointNets for 3D Object Detection From RGB-D Data. CVPR Charles R. Qi, Wei Liu, Chenxia Wu, Hao Su, Leonidas J. Guibas
2018	J	`jnl`	Generating 3D Adversarial Point Clouds. CoRR Chong Xiang, Charles R. Qi, Bo Li
2015	—	`conf`	Teaching digital signal processing with Stanford's Lab-in-a-Box. SP/SPE Fernando A. Mujica, William J. Esposito, Alex Gonzalez, Charles R. Qi, Chris Vassos, Maisy Wieman, Reggie Wilcox, Gregory T. A. Kovacs, Ronald W. Schafer