INDTLab@OUC
China
Welcome to our homepage!
We are a dynamic and forward-thinking team, guided by the principles of truth-seeking, diligence, resilience, and innovation. Under the leadership of Prof. Xinghui Dong , our lab is dedicated to providing robust academic support for research and encouraging our members to engage in pioneering studies. Our research is centered in the field of computer vision, spanning various academic domains, including image segmentation, image enhancement, object detection, and texture perception.
We extend a warm invitation to young and ambitious individuals who are passionate about academic excellence to become a part of our dynamic community. If you are enthusiastic about research and eager to make a meaningful impact, we look forward to welcoming you to our team.
Boundary-Aware Shape Recognition Using Graph Convolutional Networks
Under review, under review
Jinming Zhao, Huiyu Zhou,Junyu Dong and Xinghui Dong.
[Paper]
[Project Page]
[Code]
Fast Time Series Anomaly Detection Using An Efficient Periodicity-Aware Neural Network
Under review, under review
Pengfei Li, Peishun Liu and Xinghui Dong.
[Paper]
[Project Page]
[Code]
Boundary-Aware Distracted Attention Network for Camouflage Object Detection
Under review, under review
Lin Wang, Huiyu Zhou,Junyu Dong and Xinghui Dong.
[Paper]
[Project Page]
[Code]
Semi-Supervised Underwater Image Enhancement Using A Physics-Aware Approach
Under review, under review
Hao Qi, Shixuan Xu, and Xinghui Dong.
[Paper]
[Project Page]
[Code]
Perception-Aware Underwater Image Quality Assessment: Data Set, Perceptual Quality Scores and Assessment Network
Under review, under review
Bosen Lin and Xinghui Dong.
[Paper]
[Project Page]
[Code]
A multi-task segmentation and classification network for remote ship hull inspection
Ocean Engineering,
Bosen Lin and Xinghui Dong.
[Paper]
[Project Page]
[Code]
Drone-Based Wall Crack Detection Using Model-Agnostic Meta-Learning
IEEE Transactions on Automation Science and Engineering, under review
Wenxuan Shao, Borong Xu and Xinghui Dong.
[Paper]
[Project Page]
[Code]
Terrain Scene Generation Using A Lightweight Vector Quantized Generative Adversarial Network
Transactions on Big Data, under review
Yan Wang, Huiyu Zhou and Xinghui Dong.
[Paper]
[Project Page]
[Code]
Perception-Aware Texture Similarity Prediction
IEEE Transactions on Image Processing
WeiboWang and Xinghui Dong.
[Paper]
[Project Page]
[Code]
WRD-Net: Water Reflection Detection Using A Parallel Attention Transformer
Pattern Recognition
Huijie Dong, Hao Qi, Huiyu Zhou, Junyu Dong and Xinghui Dong.
[Paper]
[Project Page]
[Code]
Edge-Guided Oceanic Scene Element Detection
Knowledge-Based Systems
Keke Xiang, Xingshuai Dong, Weibo Wang, and Xinghui Dong.
[Paper]
[Project Page]
[Code]
Deep Color-Corrected Multi-scale Retinex Network for Underwater Image Enhancement
IEEE Transactions on Geoscience and Remote Sensing,
Hao QI, Huiyu Zhou, Junyu Dong, and Xinghui Dong.
[Paper]
[Project Page]
[Code]
A Learnable Support Selection Scheme for Boosting Few-Shot Segmentation
Pattern Recognition
Wenxuan Shao, Hao Qi, and Xinghui Dong.
[Paper]
[Project Page]
[Code]
Small Sample Image Segmentation By Coupling Convolutions and Transformers
IEEE Transactions on Circuits and Systems for Video Technology
Hao QI, Huiyu Zhou, Junyu Dong, and Xinghui Dong.
[Paper]
[Project Page]
[Code]
Ship hull inspection: A survey
Ocean Engineering
Bosen Lin and Xinghui Dong.
[Paper]
[Project Page]
Unifying the Visual Perception of Humans and Machines on Fine-Grained Texture Similarity
In procedings of British Machine Vision Conference, BMVC2022
Weibo Wang and Xinghui Dong.
[Paper]
[Project Page]
[Code]
Xinghui Dong, Ph.D., is a Professor and doctoral supervisor at the School of Information Science and Engineering at Ocean University of China. He received his Ph.D. (2014) from Heriot-Watt University in the United Kingdom. Dr. Dong's academic journey includes a significant research period from 2015 to 2021 at the Centre for Imaging Sciences, University of Manchester. His research interests encompass computer vision, visual perception, deep learning, and intelligent testing.
Dr. Dong has authored 46 papers published in top-tier journals and international conferences, including IEEE TPAMI, IEEE TIP, IEEE TVCG, and prestigious conferences like ICCV and ECCV.
[Google Scholar]
Huijie Dong, Hao Qi, Wenxuan Shao, Weibo Wang, Yan Wang, Keke Xiang
董慧洁，齐昊，邵文萱，汪卫博，王岩，项可可