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Guanxiong Sun
Queen's University Belfast
About me
I am a PhD student in the school of EEECS at Queen’s University Belfast, advised by Dr. Hua Yang and Prof. Neil Robertson. My research interests are in computer vision, specifically, object detection and video analysis.
I received my master and bachelor degrees from the department of Computer Science at Harbin Institute of Technology, China.
Download my resumé.
Interests
- Artificial Intelligence
- Computer Vision
- Object Detection
- Video Analysis
Education
PhD in Artificial Intelligence, 2019 - present
Queen's University Belfast
Master in Computer Science, 2016 - 2018
Harbin Institute of Technology
Bachelor in Artificial Intelligence, 2012 - 2016
Harbin Institute of Technology
Publications && Projects
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Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson
In ECCV, 2022
A transformer backbone designed for dense video tasks, e.g., video object detection, video instance segmentation.
In ECCV, 2022
A transformer backbone designed for dense video tasks, e.g., video object detection, video instance segmentation.
Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson
In ECCV, 2022
We present a simple yet effecitve framework to address the computational bottlenecks when adapting SOTA video object detection methods to modern one-stage detectors.
In ECCV, 2022
We present a simple yet effecitve framework to address the computational bottlenecks when adapting SOTA video object detection methods to modern one-stage detectors.
Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson
In AAAI, 2021
We propose a novel memory bank to effectively model long-range temporal correlations between frames for video object detection. At the same time, our method can run in a very fast speed.
In AAAI, 2021
We propose a novel memory bank to effectively model long-range temporal correlations between frames for video object detection. At the same time, our method can run in a very fast speed.
A Novel Left Ventricular Volumes Prediction Method Based on Deep Learning Network in Cardiac MRI
Gonging Luo, Guanxiong Sun, Kuanquan Wang, Suyu Dong, Henggui Zhang
In CinC, 2016
This study develops a new left ventricle (LV) volumes prediction method without time-consuming segmentation using deep learning technology.
In CinC, 2016
This study develops a new left ventricle (LV) volumes prediction method without time-consuming segmentation using deep learning technology.
A Combined Multi-scale Deep Learning and Random Forests Approach for Direct Left Ventricular Volumes Estimation in 3D Echocardiography
Suyu Dong, Gonging Luo, Guanxiong Sun, Kuanquan Wang, Henggui Zhang
In CinC, 2016
We present an end-to-end framework to estimate the left ventricular (LV) volume from 3D echocardiography data. Specifically, we introduce a novel unsupervised learning method to train a CNN for feature extraction. Then, the random forests method is used to predicts the LV volume.
In CinC, 2016
We present an end-to-end framework to estimate the left ventricular (LV) volume from 3D echocardiography data. Specifically, we introduce a novel unsupervised learning method to train a CNN for feature extraction. Then, the random forests method is used to predicts the LV volume.
A Left Ventricular Segmentation Method on 3D Echocardiography using Deep Learning and Snake
Suyu Dong, Gonging Luo, Guanxiong Sun, Kuanquan Wang, Henggui Zhang
In CinC, 2016
We propose a new full-automatic method that combines the deep learning method and the deformable model for left ventricular segmentation on endocardium.
In CinC, 2016
We propose a new full-automatic method that combines the deep learning method and the deformable model for left ventricular segmentation on endocardium.
Experience
PhD Researcher
- Uncertainty learning in real-world face detection
- Liveness detection: training and deployment
- Weekly && monthly knowledge sharing meetings
Research Intern
- Video classification on mobile devices
- Data management: collection, annotation, automation, analysis
- Model deployment and iteration
Research Intern
- Human pose estimation
- Model compression: knowledge distillation and pruning
Awards
School Postgraduate Research Committee Paper Award
LLP Business Inovation Grant
Recent & Upcoming Talks
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