Video manifold modelling: finding the right parameter settings for anomaly detection. - Hanhe Lin; Jeremiah D. Deng; Brendon J. Woodford (IVCNZ, 2012)

Event Detection Using Quantized Binary Code and Spatial-Temporal Locality Preserving Projections. - Hanhe Lin; Jeremiah D. Deng; Brendon J. Woodford (Australasian Conference on Artificial Intelligence, 2013)

Spatial-Temporal Pyramid Matching for Crowd Scene Analysis. - Hanhe Lin; Jeremiah D. Deng; Brendon J. Woodford (MLSDA@PRICAI, 2014)

Anomaly detection in crowd scenes via online adaptive one-class support vector machines. - Hanhe Lin; Jeremiah D. Deng; Brendon J. Woodford (ICIP, 2015)

Online Weighted Clustering for Real-time Abnormal Event Detection in Video Surveillance. - Hanhe Lin; Jeremiah D. Deng; Brendon J. Woodford; Ahmad Shahi (ACM Multimedia, 2016)

Shot Boundary Detection Using Multi-instance Incremental and Decremental One-Class Support Vector Machine. - Hanhe Lin; Jeremiah D. Deng; Brendon J. Woodford (PAKDD (1), 2016)

Dynamic Real-Time Segmentation and Recognition of Activities Using a Multi-feature Windowing Approach. - Ahmad Shahi; Brendon J. Woodford; Hanhe Lin (PAKDD (Workshops), 2017)

The Konstanz natural video database (KoNViD-1k). - Vlad Hosu; Franz Hahn; Mohsen Jenadeleh; Hanhe Lin; Hui Men; Tamás Szirányi; Shujun Li; Dietmar Saupe (QoMEX, 2017)

Empirical evaluation of no-reference VQA methods on a natural video quality database. - Hui Men; Hanhe Lin; Dietmar Saupe (QoMEX, 2017)

Expertise screening in crowdsourcing image quality. - Vlad Hosu; Hanhe Lin; Dietmar Saupe (QoMEX, 2018)

Spatiotemporal Feature Combination Model for No-Reference Video Quality Assessment. - Hui Men; Hanhe Lin; Dietmar Saupe (QoMEX, 2018)

Disregarding the Big Picture: Towards Local Image Quality Assessment. - Oliver Wiedemann; Vlad Hosu; Hanhe Lin; Dietmar Saupe (QoMEX, 2018)

KonIQ-10k: Towards an ecologically valid and large-scale IQA database. - Hanhe Lin; Vlad Hosu; Dietmar Saupe (CoRR, 2018)

SUR-Net: Predicting the Satisfied User Ratio Curve for Image Compression with Deep Learning. - Chunling Fan; Hanhe Lin; Vlad Hosu; Yun Zhang 002; Qingshan Jiang; Raouf Hamzaoui; Dietmar Saupe (QoMEX, 2019)

KADID-10k: A Large-scale Artificially Distorted IQA Database. - Hanhe Lin; Vlad Hosu; Dietmar Saupe (QoMEX, 2019)

Visual Quality Assessment for Motion Compensated Frame Interpolation. - Hui Men; Hanhe Lin; Vlad Hosu; Daniel Maurer 002; Andrés Bruhn; Dietmar Saupe (QoMEX, 2019)

Technical Report on Visual Quality Assessment for Frame Interpolation. - Hui Men; Hanhe Lin; Vlad Hosu; Daniel Maurer 002; Andrés Bruhn; Dietmar Saupe (CoRR, 2019)

Algorithm Selection for Image Quality Assessment. - Markus Wagner 007; Hanhe Lin; Shujun Li; Dietmar Saupe (CoRR, 2019)

Detecting motorcycle helmet use with deep learning. - Felix Wilhelm Siebert; Hanhe Lin (CoRR, 2019)

No-Reference Video Quality Assessment using Multi-Level Spatially Pooled Features. - Franz Götz-Hahn; Vlad Hosu; Hanhe Lin; Dietmar Saupe (CoRR, 2019)

EvolGAN: Evolutionary Generative Adversarial Networks. - Baptiste Rozière; Fabien Teytaud; Vlad Hosu; Hanhe Lin; Jérémy Rapin; Mariia Zameshina; Olivier Teytaud (ACCV (4), 2020)

Evolutionary super-resolution. - Baptiste Rozière; Nathanaël Carraz Rakotonirina; Vlad Hosu; Hanhe Lin; Andry Rasoanaivo; Olivier Teytaud; Camille Couprie (GECCO Companion, 2020)

Deep Learning VS. Traditional Algorithms for Saliency Prediction of Distorted Images. - Xin Zhao; Hanhe Lin; Pengfei Guo; Dietmar Saupe; Hantao Liu (ICIP, 2020)

Subjective Assessment of Global Picture-Wise Just Noticeable Difference. - Hanhe Lin; Mohsen Jenadeleh; Guangan Chen; Ulf-Dietrich Reips; Raouf Hamzaoui; Dietmar Saupe (ICME Workshops, 2020)

Tarsier: Evolving Noise Injection in Super-Resolution GANs. - Baptiste Rozière; Nathanaël Carraz Rakotonirina; Vlad Hosu; Andry Rasoanaivo; Hanhe Lin; Camille Couprie; Olivier Teytaud (ICPR, 2020)

Visual Quality Assessment for Interpolated Slow-Motion Videos Based on a Novel Database. - Hui Men; Vlad Hosu; Hanhe Lin; Andrés Bruhn; Dietmar Saupe (QoMEX, 2020)

Foveated Video Coding for Real-Time Streaming Applications. - Oliver Wiedemann; Vlad Hosu; Hanhe Lin; Dietmar Saupe (QoMEX, 2020)

Helmet Use Detection of Tracked Motorcycles Using CNN-Based Multi-Task Learning. - Hanhe Lin; Jeremiah D. Deng; Deike Albers; Felix Wilhelm Siebert (IEEE Access, 2020)

SUR-FeatNet: Predicting the Satisfied User Ratio Curvefor Image Compression with Deep Feature Learning. - Hanhe Lin; Vlad Hosu; Chunling Fan; Yun Zhang 002; Yuchen Mu; Raouf Hamzaoui; Dietmar Saupe (CoRR, 2020)

Subjective Annotation for a Frame Interpolation Benchmark using Artifact Amplification. - Hui Men; Vlad Hosu; Hanhe Lin; Andrés Bruhn; Dietmar Saupe (CoRR, 2020)

DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning. - Hanhe Lin; Vlad Hosu; Dietmar Saupe (CoRR, 2020)

SUR-FeatNet: Predicting the satisfied user ratio curve for image compression with deep feature learning. - Hanhe Lin; Vlad Hosu; Chunling Fan; Yun Zhang 002; Yuchen Mu; Raouf Hamzaoui; Dietmar Saupe (Qual. User Exp., 2020)

Subjective annotation for a frame interpolation benchmark using artefact amplification. - Hui Men; Vlad Hosu; Hanhe Lin; Andrés Bruhn; Dietmar Saupe (Qual. User Exp., 2020)

KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment. - Vlad Hosu; Hanhe Lin; Tamás Szirányi; Dietmar Saupe (IEEE Trans. Image Process., 2020)

KonIQ++: Boosting No-Reference Image Quality Assessment in the Wild by Jointly Predicting Image Quality and Defects. - Shaolin Su; Vlad Hosu; Hanhe Lin; Yanning Zhang 001; Dietmar Saupe (BMVC, 2021)

Positional Encoding: Improving Class-Imbalanced Motorcycle Helmet use Classification. - Hanhe Lin; Guangan Chen; Felix Wilhelm Siebert (ICIP, 2021)

KonVid-150k: A Dataset for No-Reference Video Quality Assessment of Videos in-the-Wild. - Franz Götz-Hahn; Vlad Hosu; Hanhe Lin; Dietmar Saupe (IEEE Access, 2021)

Subjective Image Quality Assessment With Boosted Triplet Comparisons. - Hui Men; Hanhe Lin; Mohsen Jenadeleh; Dietmar Saupe (IEEE Access, 2021)

TranSalNet: Visual saliency prediction using transformers. - Jianxun Lou; Hanhe Lin; David Marshall 001; Dietmar Saupe; Hantao Liu (CoRR, 2021)

Predicting Radiologist Attention During Mammogram Reading with Deep and Shallow High-Resolution Encoding. - Jianxun Lou; Hanhe Lin; David Marshall 001; Richard White; Young Yang; Susan Cheng Shelmerdine; Hantao Liu (ICIP, 2022)

Crowdsourced Quality Assessment of Enhanced Underwater Images - a Pilot Study. - Hanhe Lin; Hui Men; Yijun Yan; Jinchang Ren; Dietmar Saupe (QoMEX, 2022)

TranSalNet: Towards perceptually relevant visual saliency prediction. - Jianxun Lou; Hanhe Lin; David Marshall 001; Dietmar Saupe; Hantao Liu (Neurocomputing, 2022)

Large-Scale Crowdsourced Subjective Assessment of Picturewise Just Noticeable Difference. - Hanhe Lin; Guangan Chen; Mohsen Jenadeleh; Vlad Hosu; Ulf-Dietrich Reips; Raouf Hamzaoui; Dietmar Saupe (IEEE Trans. Circuits Syst. Video Technol., 2022)

KonIQ-10k IQA Database. - Vlad Hosu; Hanhe Lin; Tamás Szirányi; Dietmar Saupe (DaRUS, 2022)

FedGST: Federated Graph Spatio-Temporal Framework for Brain Functional Disease Prediction. - Junbin Mao; Hanhe Lin; Xu Tian; Yi Pan 001; Jin Liu 012 (BIBM, 2023)

Underwater Object Detection for Smooth and Autonomous Operations of Naval Missions: A Pilot Dataset. - Yijun Yan; Yinhe Li; Hanhe Lin; Md. Mostafa Kamal Sarker; Jinchang Ren; John McCall 001 (BICS, 2023)

Localization of Just Noticeable Difference for Image Compression. - Guangan Chen; Hanhe Lin; Oliver Wiedemann; Dietmar Saupe (QoMEX, 2023)

CUDAS: Distortion-Aware Saliency Benchmark. - Xin Zhao; Jianxun Lou; Xinbo Wu; Yingying Wu; Lucie Lévêque; Xiaochang Liu; Pengfei Guo; Yipeng Qin; Hanhe Lin; Dietmar Saupe; Hantao Liu (IEEE Access, 2023)

Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery. - Junbin Mao; Jin Liu 012; Hanhe Lin; Hulin Kuang; Shirui Pan; Yi Pan 001 (CoRR, 2023)

Source-Free Domain Adaptation for Millimeter Wave Radar Based Human Activity Recognition. - Jin Liu 012; Dejiao Zeng; Ludi Li; Hanhe Lin; Xu Tian (ICASSP, 2024)

Multi-Task Learning for Alzheimer's Disease Diagnosis and Mini-Mental State Examination Score Prediction. - Jin Liu 012; Xu Tian; Hanhe Lin; Hong-Dong Li; Yi Pan 001 (Big Data Min. Anal., 2024)

Graph-Based Fusion of Imaging, Genetic and Clinical Data for Degenerative Disease Diagnosis. - Rui Guo; Xu Tian; Hanhe Lin; Stephen J. McKenna; Hong-Dong Li; Fei Guo 001; Jin Liu 012 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Dual-Domain Feature Interaction Network for Automatic Colorectal Polyp Segmentation. - Guanghui Yue 001; Yuanyan Li; Shangjie Wu; Bin Jiang 003; Tianwei Zhou; Weiqing Yan; Hanhe Lin; Tianfu Wang 001 (IEEE Trans. Instrum. Meas., 2024)

Predicting Radiologists' Gaze With Computational Saliency Models in Mammogram Reading. - Jianxun Lou; Hanhe Lin; Philippa Young; Richard White; Zelei Yang; Susan Cheng Shelmerdine; David Marshall 001; Emiliano Spezi; Marco Palombo; Hantao Liu (IEEE Trans. Multim., 2024)

Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model. - Shaolin Su; Hanhe Lin; Vlad Hosu; Oliver Wiedemann; Jinqiu Sun; Yu Zhu 004; Hantao Liu; Yanning Zhang 001; Dietmar Saupe (IEEE Trans. Multim., 2024)

Neural Inference Search for Multiloss Segmentation Models. - Sam Slade; Li Zhang 013; Haoqian Huang; Houshyar Asadi; Chee Peng Lim; Yonghong Yu; Dezong Zhao; Hanhe Lin; Rong Gao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Inspired by pathogenic mechanisms: A novel gradual multi-modal fusion framework for mild cognitive impairment diagnosis. - Xu Tian; Hong-Dong Li; Hanhe Lin; Chao Li 031; Yu-Ping Wang; Harrison X. Bai; Wei Lan; Jin Liu 012 (Neural Networks, 2025)

Toward Integrating Federated Learning With Split Learning via Spatio-Temporal Graph Framework for Brain Disease Prediction. - Junbin Mao; Jin Liu 012; Xu Tian; Yi Pan 001; Emanuele Trucco; Hanhe Lin (IEEE Trans. Medical Imaging, 2025)

MMP-2K: A Benchmark Multi-Labeled Macro Photography Image Quality Assessment Database. - Jiashuo Chang; Zhengyi Li; Jianxun Lou; Zhen Qiu; Hanhe Lin (CoRR, 2025)

Improving Novel view synthesis of 360° Scenes in Extremely Sparse Views by Jointly Training Hemisphere Sampled Synthetic Images. - Guangan Chen; Anh Minh Truong; Hanhe Lin; Michiel Vlaminck; Wilfried Philips; Hiêp Quang Luong (CoRR, 2025)