Hanhe Lin
Orcid: 0000-0002-0297-3549Affiliations:
- Robert Gordon University, Aberdeen, UK
- University of Konstanz, Department of Computer and Information Science, Germany (former)
- University of Otago, Department of Information Science, Dunedin, New Zealand (former)
According to our database1,
Hanhe Lin
authored at least 50 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Multim., 2024
Predicting Radiologists' Gaze With Computational Saliency Models in Mammogram Reading.
IEEE Trans. Multim., 2024
Graph-Based Fusion of Imaging, Genetic and Clinical Data for Degenerative Disease Diagnosis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
2023
Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery.
CoRR, 2023
Proceedings of the 15th International Conference on Quality of Multimedia Experience, 2023
FedGST: Federated Graph Spatio-Temporal Framework for Brain Functional Disease Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Large-Scale Crowdsourced Subjective Assessment of Picturewise Just Noticeable Difference.
IEEE Trans. Circuits Syst. Video Technol., 2022
Neurocomputing, 2022
Proceedings of the 14th International Conference on Quality of Multimedia Experience, 2022
Predicting Radiologist Attention During Mammogram Reading with Deep and Shallow High-Resolution Encoding.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
2021
IEEE Access, 2021
KonVid-150k: A Dataset for No-Reference Video Quality Assessment of Videos in-the-Wild.
IEEE Access, 2021
Positional Encoding: Improving Class-Imbalanced Motorcycle Helmet use Classification.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
KonIQ++: Boosting No-Reference Image Quality Assessment in the Wild by Jointly Predicting Image Quality and Defects.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
2020
KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment.
IEEE Trans. Image Process., 2020
Subjective annotation for a frame interpolation benchmark using artefact amplification.
Qual. User Exp., 2020
SUR-FeatNet: Predicting the satisfied user ratio curve for image compression with deep feature learning.
Qual. User Exp., 2020
Subjective Annotation for a Frame Interpolation Benchmark using Artifact Amplification.
CoRR, 2020
SUR-FeatNet: Predicting the Satisfied User Ratio Curvefor Image Compression with Deep Feature Learning.
CoRR, 2020
IEEE Access, 2020
Proceedings of the Twelfth International Conference on Quality of Multimedia Experience, 2020
Visual Quality Assessment for Interpolated Slow-Motion Videos Based on a Novel Database.
Proceedings of the Twelfth International Conference on Quality of Multimedia Experience, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops, 2020
Deep Learning VS. Traditional Algorithms for Saliency Prediction of Distorted Images.
Proceedings of the IEEE International Conference on Image Processing, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020
2019
CoRR, 2019
Proceedings of the 11th International Conference on Quality of Multimedia Experience QoMEX 2019, 2019
Proceedings of the 11th International Conference on Quality of Multimedia Experience QoMEX 2019, 2019
SUR-Net: Predicting the Satisfied User Ratio Curve for Image Compression with Deep Learning.
Proceedings of the 11th International Conference on Quality of Multimedia Experience QoMEX 2019, 2019
2018
Proceedings of the Tenth International Conference on Quality of Multimedia Experience, 2018
Proceedings of the Tenth International Conference on Quality of Multimedia Experience, 2018
Proceedings of the Tenth International Conference on Quality of Multimedia Experience, 2018
2017
Empirical evaluation of no-reference VQA methods on a natural video quality database.
Proceedings of the Ninth International Conference on Quality of Multimedia Experience, 2017
Proceedings of the Ninth International Conference on Quality of Multimedia Experience, 2017
Dynamic Real-Time Segmentation and Recognition of Activities Using a Multi-feature Windowing Approach.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2017
2016
Shot Boundary Detection Using Multi-instance Incremental and Decremental One-Class Support Vector Machine.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016
Online Weighted Clustering for Real-time Abnormal Event Detection in Video Surveillance.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016
2015
Anomaly detection in crowd scenes via online adaptive one-class support vector machines.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
2014
Proceedings of the MLSDA 2014 2nd Workshop on Machine Learning for Sensory Data Analysis, 2014
2013
Event Detection Using Quantized Binary Code and Spatial-Temporal Locality Preserving Projections.
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013
2012
Video manifold modelling: finding the right parameter settings for anomaly detection.
Proceedings of the Image and Vision Computing New Zealand, 2012