Zhaoqi Leng

According to our database, Zhaoqi Leng authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PVTransformer: Point-to-Voxel Transformer for Scalable 3D Object Detection.

Zhaoqi Leng, Pei Sun, Tong He, Dragomir Anguelov, Mingxing Tan

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

LEF: Late-to-Early Temporal Fusion for LiDAR 3D Object Detection.

Tong He, Pei Sun, Zhaoqi Leng, Chenxi Liu, Dragomir Anguelov, Mingxing Tan

IROS, 2023

Lidar Augment: Searching for Scalable 3D LiDAR Data Augmentations.

Zhaoqi Leng, Guowang Li, Chenxi Liu, Ekin Dogus Cubuk, Pei Sun, Tong He, Dragomir Anguelov, Mingxing Tan

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

A Point-of-Interest Recommendation Method Exploiting Sequential, Category and Geographical Influence.

Xican Wang, Yanheng Liu, Xu Zhou, Xueying Wang, Zhaoqi Leng

ISPRS Int. J. Geo Inf., 2022

Long- and Short-Term Preference Modeling Based on Multi-Level Attention for Next POI Recommendation.

Xueying Wang, Yanheng Liu, Xu Zhou, Zhaoqi Leng, Xican Wang

ISPRS Int. J. Geo Inf., 2022

LidarAugment: Searching for Scalable 3D LiDAR Data Augmentations.

Zhaoqi Leng, Guowang Li, Chenxi Liu, Ekin Dogus Cubuk, Pei Sun, Tong He, Dragomir Anguelov, Mingxing Tan

CoRR, 2022

PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions.

Zhaoqi Leng, Mingxing Tan, Chenxi Liu, Ekin Dogus Cubuk, Xiaojie Shi, Shuyang Cheng, Dragomir Anguelov

CoRR, 2022

Multi-Class 3D Object Detection with Single-Class Supervision.

Mao Ye, Chenxi Liu, Maoqing Yao, Weiyue Wang, Zhaoqi Leng, Charles R. Qi, Dragomir Anguelov

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions.

Zhaoqi Leng, Mingxing Tan, Chenxi Liu, Ekin Dogus Cubuk, Jay Shi, Shuyang Cheng, Dragomir Anguelov

Proceedings of the Tenth International Conference on Learning Representations, 2022

A Long and Short Term Preference Model for Next Point of Interest Recommendation.

Zhaoqi Leng, Yanheng Liu, Xu Zhou, Xueying Wang, Xican Wang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds.

Pei Sun, Mingxing Tan, Weiyue Wang, Chenxi Liu, Fei Xia, Zhaoqi Leng, Dragomir Anguelov

Proceedings of the Computer Vision - ECCV 2022, 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

Proceedings of the Computer Vision - ECCV 2022, 2022

PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds.

Zhaoqi Leng, Shuyang Cheng, Benjamin Caine, Weiyue Wang, Xiao Zhang, Jonathon Shlens, Mingxing Tan, Dragomir Anguelov

Proceedings of the Computer Vision - ECCV 2022, 2022

Next POI Recommendation Method Based on Category Preference and Attention Mechanism in LBSNs.

Xueying Wang, Yanheng Liu, Xu Zhou, Zhaoqi Leng, Xican Wang

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2020

Improving 3D Object Detection Through Progressive Population Based Augmentation.

Shuyang Cheng, Zhaoqi Leng, Ekin Dogus Cubuk, Barret Zoph, Chunyan Bai, Jiquan Ngiam, Yang Song, Benjamin Caine, Vijay Vasudevan, Congcong Li, Quoc V. Le, Jonathon Shlens, Dragomir Anguelov

Proceedings of the Computer Vision - ECCV 2020, 2020