Aoxue Li
Orcid: 0000-0002-5467-9405
According to our database1,
Aoxue Li
authored at least 43 papers
between 2015 and 2025.
Collaborative distances:
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Bibliography
2025
Pattern Recognit., 2025
2024
Recommending AI based on Quantified Self: Investigating the mechanism of consumer acceptance of AI recommendations.
Electron. Mark., December, 2024
Risk Assessment of Roundabout Scenarios in Virtual Testing Based on an Improved Driving Safety Field.
Sensors, September, 2024
3D Object Detection under Urban Road Traffic Scenarios Based on Dual-Layer Voxel Features Fusion Augmentation.
Sensors, June, 2024
CoRR, 2024
CoRR, 2024
Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation.
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024
2023
CoRR, 2023
UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization.
Proceedings of the 34th British Machine Vision Conference 2023, 2023
2022
Federated learning-based trajectory prediction model with privacy preserving for intelligent vehicle.
Int. J. Intell. Syst., December, 2022
Symmetry, 2022
STC-IDS: Spatial-temporal correlation feature analyzing based intrusion detection system for intelligent connected vehicles.
Int. J. Intell. Syst., 2022
Dynamic Local Path Planning for Intelligent Vehicles Based on Sampling Area Point Discrete and Quadratic Programming.
IEEE Access, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Semi-Supervised Object Detection via Multi-instance Alignment with Global Class Prototypes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
IEEE Trans. Pattern Anal. Mach. Intell., 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Dense Relation Distillation With Context-Aware Aggregation for Few-Shot Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
IEEE Trans. Intell. Transp. Syst., 2020
IEEE Trans. Intell. Transp. Syst., 2020
Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning.
Int. J. Comput. Vis., 2020
IEEE Access, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Int. J. Autom. Comput., 2019
IEEE Access, 2019
Learning Human-Like Trajectory Planning on Urban Two-Lane Curved Roads From Experienced Drivers.
IEEE Access, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
IEEE Trans. Cybern., 2018
2017
IEEE Trans. Geosci. Remote. Sens., 2017
CoRR, 2017
Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
Global and Local Saliency Analysis for the Extraction of Residential Areas in High-Spatial-Resolution Remote Sensing Image.
IEEE Trans. Geosci. Remote. Sens., 2016
Remote sensing image segmentation based on Wilcoxon rank sum test and mean absolute deviation.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2015
Region-of-Interest Extraction Based on Saliency Analysis of Co-Occurrence Histogram in High Spatial Resolution Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
Remote Sensing Image Segmentation Based on an Improved 2-D Gradient Histogram and MMAD Model.
IEEE Geosci. Remote. Sens. Lett., 2015