Aoxue Li

Orcid: 0000-0002-5467-9405

According to our database1, Aoxue Li authored at least 35 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation.
CoRR, 2024

CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects.
CoRR, 2024

Efficient Transferability Assessment for Selection of Pre-trained Detectors.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning.
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

The Rotor-Vibrator Plus Multi-Particle-Hole Description of 154Gd.
Symmetry, 2022

The Particle-Rotor-Quadrupole-Coupling Model for Transitional Odd-A Nuclei.
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

CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds.
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
Zero and Few Shot Learning With Semantic Feature Synthesis and Competitive Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Transformation Invariant Few-Shot Object Detection.
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
A New Microscopic Traffic Model Using a Spring-Mass-Damper-Clutch System.
IEEE Trans. Intell. Transp. Syst., 2020

Human-Like Trajectory Planning on Curved Road: Learning From Human Drivers.
IEEE Trans. Intell. Transp. Syst., 2020

Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning.
Int. J. Comput. Vis., 2020

A New Single Point Preview-Based Human-Like Driver Model on Urban Curved Roads.
IEEE Access, 2020

Boosting Few-Shot Learning With Adaptive Margin Loss.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Zero-shot Fine-grained Classification by Deep Feature Learning with Semantics.
Int. J. Autom. Comput., 2019

Implementation of Human-Like Driver Model Based on Recurrent Neural Networks.
IEEE Access, 2019

Learning Human-Like Trajectory Planning on Urban Two-Lane Curved Roads From Experienced Drivers.
IEEE Access, 2019

Few-Shot Learning With Global Class Representations.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Large-Scale Sparse Learning From Noisy Tags for Semantic Segmentation.
IEEE Trans. Cybern., 2018

2017
Zero-Shot Scene Classification for High Spatial Resolution Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2017

Zero-Shot Fine-Grained Classification by Deep Feature Learning with Semantics.
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


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