Qiong Liu

Orcid: 0000-0002-6410-615X

Affiliations:
  • South China University of Technology, China


According to our database1, Qiong Liu authored at least 16 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Devil in the details: Delving into accurate quality scoring for DensePose.
Pattern Recognit., April, 2024

Discriminative features enhancement for low-altitude UAV object detection.
Pattern Recognit., March, 2024

Small Target Augmentation for Urban Remote Sensing Image Real-Time Segmentation.
IEEE Trans. Intell. Transp. Syst., February, 2024

2023
PoiseNet: Dealing With Data Imbalance in DensePose.
IEEE Trans. Circuits Syst. Video Technol., October, 2023

NRPose: Towards noise resistance for multi-person pose estimation.
Pattern Recognit., October, 2023

Scene-Text Oriented Referring Expression Comprehension.
IEEE Trans. Multim., 2023

Segment-Level and Category-Oriented Network for Knowledge-Based Referring Expression Comprehension.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Complementarity-aware cross-modal feature fusion network for RGB-T semantic segmentation.
Pattern Recognit., 2022

Bridging the Gap between Expression and Scene Text for Referring Expression Comprehension (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Ground Plane Context Aggregation Network for Day-and-Night on Vehicular Pedestrian Detection.
IEEE Trans. Intell. Transp. Syst., 2021

2020
Tracking objects with partial occlusion by background alignment.
Neurocomputing, 2020

SCNet: Scale-aware coupling-structure network for efficient video object detection.
Neurocomputing, 2020

Novel up-scale feature aggregation for object detection in aerial images.
Neurocomputing, 2020

2019
Scale adaptive image cropping for UAV object detection.
Neurocomputing, 2019

2018
Object tracking via Online Multiple Instance Learning with reliable components.
Comput. Vis. Image Underst., 2018

2016
Online Multi-Instance Multi-Label learning for protein function prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016


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