Sanqing Qu

According to our database, Sanqing Qu authored at least 25 papers between 2018 and 2024.

Collaborative distances:

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

2024

GLC++: Source-Free Universal Domain Adaptation through Global-Local Clustering and Contrastive Affinity Learning.

Sanqing Qu, Tianpei Zou, Florian Röhrbein, Cewu Lu, Guang Chen, Dacheng Tao, Changjun Jiang

CoRR, 2024

MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection.

Boyang Peng, Sanqing Qu, Yong Wu, Tianpei Zou, Lianghua He, Alois Knoll, Guang Chen, Changjun Jiang

CoRR, 2024

LEAD: Learning Decomposition for Source-free Universal Domain Adaptation.

Sanqing Qu, Tianpei Zou, Lianghua He, Florian Röhrbein, Alois Knoll, Guang Chen, Changjun Jiang

CoRR, 2024

PCDepth: Pattern-based Complementary Learning for Monocular Depth Estimation by Best of Both Worlds.

Haotian Liu, Sanqing Qu, Fan Lu, Zongtao Bu, Florian Röhrbein, Alois Knoll, Guang Chen

CoRR, 2024

2023

D²IFLN: Disentangled Domain-Invariant Feature Learning Networks for Domain Generalization.

Zhengfa Liu, Guang Chen, Zhijun Li, Sanqing Qu, Alois Knoll, Changjun Jiang

IEEE Trans. Cogn. Dev. Syst., December, 2023

PSDC: A Prototype-Based Shared-Dummy Classifier Model for Open-Set Domain Adaptation.

Zhengfa Liu, Guang Chen, Zhijun Li, Yu Kang, Sanqing Qu, Changjun Jiang

IEEE Trans. Cybern., November, 2023

HRegNet: A Hierarchical Network for Efficient and Accurate Outdoor LiDAR Point Cloud Registration.

Fan Lu, Guang Chen, Yinlong Liu, Lijun Zhang, Sanqing Qu, Shu Liu, Rongqi Gu, Changjun Jiang

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

RPP-Net: Rigid Constrained Point Cloud Prediction Network.

Tianpei Zou, Guang Chen, Fan Lu, Zhijun Li, Sanqing Qu, Alois Knoll, Changjun Jiang

IEEE Trans. Intell. Transp. Syst., September, 2023

TMA: Temporal Motion Aggregation for Event-based Optical Flow.

Haotian Liu, Guang Chen, Sanqing Qu, Yanping Zhang, Zhijun Li, Alois Knoll, Changjun Jiang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Upcycling Models Under Domain and Category Shift.

Sanqing Qu, Tianpei Zou, Florian Röhrbein, Cewu Lu, Guang Chen, Dacheng Tao, Changjun Jiang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Modality-Agnostic Debiasing for Single Domain Generalization.

Sanqing Qu, Yingwei Pan, Guang Chen, Ting Yao, Changjun Jiang, Tao Mei

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

MoNet: Motion-Based Point Cloud Prediction Network.

Fan Lu, Guang Chen, Zhijun Li, Lijun Zhang, Yinlong Liu, Sanqing Qu, Alois C. Knoll

IEEE Trans. Intell. Transp. Syst., 2022

Neuromorphic Vision-Based Fall Localization in Event Streams With Temporal-Spatial Attention Weighted Network.

Guang Chen, Sanqing Qu, Zhijun Li, Haitao Zhu, Jiaxuan Dong, Min Liu, Jörg Conradt

IEEE Trans. Cybern., 2022

KAM-Net: Keypoint-Aware and Keypoint-Matching Network for Vehicle Detection From 2-D Point Cloud.

Tianpei Zou, Guang Chen, Zhijun Li, Wei He, Sanqing Qu, Shangding Gu, Alois C. Knoll

IEEE Trans. Artif. Intell., 2022

Cut-in Prediction in Egocentric Videos using Extended Environment Perception with Status Descriptors.

Jiang Bian, Bin Li, Guang Chen, Sanqing Qu, Zhijun Li, Tianpei Zou, Alois C. Knoll

Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

BMD: A General Class-Balanced Multicentric Dynamic Prototype Strategy for Source-Free Domain Adaptation.

Sanqing Qu, Guang Chen, Jing Zhang, Zhijun Li, Wei He, Dacheng Tao

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Pseudo-Image and Sparse Points: Vehicle Detection With 2D LiDAR Revisited by Deep Learning-Based Methods.

Guang Chen, Fa Wang, Sanqing Qu, Kai Chen, Junwei Yu, Xiangyong Liu, Lu Xiong, Alois C. Knoll

IEEE Trans. Intell. Transp. Syst., 2021

A Novel Illumination-Robust Hand Gesture Recognition System With Event-Based Neuromorphic Vision Sensor.

Guang Chen, Zhongcong Xu, Zhijun Li, Huajin Tang, Sanqing Qu, Kejia Ren, Alois C. Knoll

IEEE Trans Autom. Sci. Eng., 2021

ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization.

Sanqing Qu, Guang Chen, Zhijun Li, Lijun Zhang, Fan Lu, Alois C. Knoll

CoRR, 2021

HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration.

Fan Lu, Guang Chen, Yinlong Liu, Lijun Zhang, Sanqing Qu, Shu Liu, Rongqi Gu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

PointINet: Point Cloud Frame Interpolation Network.

Fan Lu, Guang Chen, Sanqing Qu, Zhijun Li, Yinlong Liu, Alois C. Knoll

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

MoNet: Motion-based Point Cloud Prediction Network.

Fan Lu, Guang Chen, Yinlong Liu, Zhijun Li, Sanqing Qu, Tianpei Zou

CoRR, 2020

LAP-Net: Adaptive Features Sampling via Learning Action Progression for Online Action Detection.

Sanqing Qu, Guang Chen, Dan Xu, Jinhu Dong, Fan Lu, Alois C. Knoll

CoRR, 2020

2018

Self-Localization of Parking Robots Using Square-Like Landmarks.

Canbo Ye, Guang Chen, Sanqing Qu, Qianyi Yang, Kai Chen, Jiatong Du, Ruien Hu

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018

An Efficient L-Shape Fitting Method for Vehicle Pose Detection with 2D LiDAR.

Sanqing Qu, Guang Chen, Canbo Ye, Fan Lu, Fa Wang, Zhongcong Xu, Yixin Ge

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018