Hanhe Lin

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 54

Top Topics

Frame Interpolation

Distorted Images

Just Noticeable Difference

Top Venues

Publications

Rui Guo, Xu Tian, Hanhe Lin, Stephen J. McKenna, Hong-Dong Li, Fei Guo, Jin Liu
Graph-Based Fusion of Imaging, Genetic and Clinical Data for Degenerative Disease Diagnosis. IEEE ACM Trans. Comput. Biol. Bioinform. 21 (1) (2024)
Jianxun Lou, Hanhe Lin, Philippa Young, Richard White, Zelei Yang, Susan Cheng Shelmerdine, David Marshall, Emiliano Spezi, Marco Palombo, Hantao Liu
Predicting Radiologists' Gaze With Computational Saliency Models in Mammogram Reading. IEEE Trans. Multim. 26 (2024)
Shaolin Su, Hanhe Lin, Vlad Hosu, Oliver Wiedemann, Jinqiu Sun, Yu Zhu, Hantao Liu, Yanning Zhang, Dietmar Saupe
Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model. IEEE Trans. Multim. 26 (2024)
Jin Liu, Dejiao Zeng, Ludi Li, Hanhe Lin, Xu Tian
Source-Free Domain Adaptation for Millimeter Wave Radar Based Human Activity Recognition. ICASSP (2024)
Junbin Mao, Jin Liu, Hanhe Lin, Hulin Kuang, Yi Pan
Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery. CoRR (2023)
Junbin Mao, Hanhe Lin, Xu Tian, Yi Pan, Jin Liu
FedGST: Federated Graph Spatio-Temporal Framework for Brain Functional Disease Prediction. BIBM (2023)
Xin Zhao, Jianxun Lou, Xinbo Wu, Yingying Wu, Lucie Lévêque, Xiaochang Liu, Pengfei Guo, Yipeng Qin, Hanhe Lin, Dietmar Saupe, Hantao Liu
CUDAS: Distortion-Aware Saliency Benchmark. IEEE Access 11 (2023)
Guangan Chen, Hanhe Lin, Oliver Wiedemann, Dietmar Saupe
Localization of Just Noticeable Difference for Image Compression. CoRR (2023)
Guangan Chen, Hanhe Lin, Oliver Wiedemann, Dietmar Saupe
Localization of Just Noticeable Difference for Image Compression. QoMEX (2023)
Yijun Yan, Yinhe Li, Hanhe Lin, Md. Mostafa Kamal Sarker, Jinchang Ren, John McCall
Underwater Object Detection for Smooth and Autonomous Operations of Naval Missions: A Pilot Dataset. BICS (2023)
Jianxun Lou, Hanhe Lin, David Marshall, Dietmar Saupe, Hantao Liu
TranSalNet: Towards perceptually relevant visual saliency prediction. Neurocomputing 494 (2022)
Hanhe Lin, Hui Men, Yijun Yan, Jinchang Ren, Dietmar Saupe
Crowdsourced Quality Assessment of Enhanced Underwater Images - a Pilot Study. QoMEX (2022)
Hanhe Lin, Guangan Chen, Mohsen Jenadeleh, Vlad Hosu, Ulf-Dietrich Reips, Raouf Hamzaoui, Dietmar Saupe
Large-Scale Crowdsourced Subjective Assessment of Picturewise Just Noticeable Difference. IEEE Trans. Circuits Syst. Video Technol. 32 (9) (2022)
Jianxun Lou, Hanhe Lin, David Marshall, Richard White, Young Yang, Susan Cheng Shelmerdine, Hantao Liu
Predicting Radiologist Attention During Mammogram Reading with Deep and Shallow High-Resolution Encoding. ICIP (2022)
Shaolin Su, Hanhe Lin, Vlad Hosu, Oliver Wiedemann, Jinqiu Sun, Yu Zhu, Hantao Liu, Yanning Zhang, Dietmar Saupe
Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model. CoRR (2022)
Hui Men, Hanhe Lin, Mohsen Jenadeleh, Dietmar Saupe
Subjective Image Quality Assessment With Boosted Triplet Comparisons. IEEE Access 9 (2021)
Franz Götz-Hahn, Vlad Hosu, Hanhe Lin, Dietmar Saupe
KonVid-150k: A Dataset for No-Reference Video Quality Assessment of Videos in-the-Wild. IEEE Access 9 (2021)
Jianxun Lou, Hanhe Lin, David Marshall, Dietmar Saupe, Hantao Liu
TranSalNet: Visual saliency prediction using transformers. CoRR (2021)
Shaolin Su, Vlad Hosu, Hanhe Lin, Yanning Zhang, Dietmar Saupe
KonIQ++: Boosting No-Reference Image Quality Assessment in the Wild by Jointly Predicting Image Quality and Defects. BMVC (2021)
Hui Men, Hanhe Lin, Mohsen Jenadeleh, Dietmar Saupe
Subjective Image Quality Assessment with Boosted Triplet Comparisons. CoRR (2021)
Hanhe Lin, Guangan Chen, Felix Wilhelm Siebert
Positional Encoding: Improving Class-Imbalanced Motorcycle Helmet use Classification. ICIP (2021)
Hui Men, Vlad Hosu, Hanhe Lin, Andrés Bruhn, Dietmar Saupe
Visual Quality Assessment for Interpolated Slow-Motion Videos Based on a Novel Database. QoMEX (2020)
Hanhe Lin, Jeremiah D. Deng, Deike Albers, Felix Wilhelm Siebert
Helmet Use Detection of Tracked Motorcycles Using CNN-Based Multi-Task Learning. IEEE Access 8 (2020)
Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Andry Rasoanaivo, Hanhe Lin, Camille Couprie, Olivier Teytaud
Tarsier: Evolving Noise Injection in Super-Resolution GANs. ICPR (2020)
Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Hanhe Lin, Andry Rasoanaivo, Olivier Teytaud, Camille Couprie
Evolutionary super-resolution. GECCO Companion (2020)
Hanhe Lin, Mohsen Jenadeleh, Guangan Chen, Ulf-Dietrich Reips, Raouf Hamzaoui, Dietmar Saupe
Subjective Assessment of Global Picture-Wise Just Noticeable Difference. ICME Workshops (2020)
Baptiste Rozière, Fabien Teytaud, Vlad Hosu, Hanhe Lin, Jérémy Rapin, Mariia Zameshina, Olivier Teytaud
EvolGAN: Evolutionary Generative Adversarial Networks. CoRR (2020)
Oliver Wiedemann, Vlad Hosu, Hanhe Lin, Dietmar Saupe
Foveated Video Coding for Real-Time Streaming Applications. QoMEX (2020)
Hanhe Lin, Vlad Hosu, Dietmar Saupe
DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning. CoRR (2020)
Hanhe Lin, Vlad Hosu, Chunling Fan, Yun Zhang, Yuchen Mu, Raouf Hamzaoui, Dietmar Saupe
SUR-FeatNet: Predicting the satisfied user ratio curve for image compression with deep feature learning. Qual. User Exp. 5 (1) (2020)
Xin Zhao, Hanhe Lin, Pengfei Guo, Dietmar Saupe, Hantao Liu
Deep Learning VS. Traditional Algorithms for Saliency Prediction of Distorted Images. ICIP (2020)
Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Andry Rasoanaivo, Hanhe Lin, Camille Couprie, Olivier Teytaud
Tarsier: Evolving Noise Injection in Super-Resolution GANs. CoRR (2020)
Baptiste Rozière, Fabien Teytaud, Vlad Hosu, Hanhe Lin, Jérémy Rapin, Mariia Zameshina, Olivier Teytaud
EvolGAN: Evolutionary Generative Adversarial Networks. ACCV (4) (2020)
Hui Men, Vlad Hosu, Hanhe Lin, Andrés Bruhn, Dietmar Saupe
Subjective annotation for a frame interpolation benchmark using artefact amplification. Qual. User Exp. 5 (1) (2020)
Vlad Hosu, Hanhe Lin, Tamás Szirányi, Dietmar Saupe
KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment. IEEE Trans. Image Process. 29 (2020)
Hanhe Lin, Vlad Hosu, Chunling Fan, Yun Zhang, Yuchen Mu, Raouf Hamzaoui, Dietmar Saupe
SUR-FeatNet: Predicting the Satisfied User Ratio Curvefor Image Compression with Deep Feature Learning. CoRR (2020)
Hui Men, Vlad Hosu, Hanhe Lin, Andrés Bruhn, Dietmar Saupe
Subjective Annotation for a Frame Interpolation Benchmark using Artifact Amplification. CoRR (2020)
Felix Wilhelm Siebert, Hanhe Lin
Detecting motorcycle helmet use with deep learning. CoRR (2019)
Markus Wagner, Hanhe Lin, Shujun Li, Dietmar Saupe
Algorithm Selection for Image Quality Assessment. CoRR (2019)
Chunling Fan, Hanhe Lin, Vlad Hosu, Yun Zhang, Qingshan Jiang, Raouf Hamzaoui, Dietmar Saupe
SUR-Net: Predicting the Satisfied User Ratio Curve for Image Compression with Deep Learning. QoMEX (2019)
Franz Götz-Hahn, Vlad Hosu, Hanhe Lin, Dietmar Saupe
No-Reference Video Quality Assessment using Multi-Level Spatially Pooled Features. CoRR (2019)
Vlad Hosu, Hanhe Lin, Tamás Szirányi, Dietmar Saupe
KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessment. CoRR (2019)
Hui Men, Hanhe Lin, Vlad Hosu, Daniel Maurer, Andrés Bruhn, Dietmar Saupe
Visual Quality Assessment for Motion Compensated Frame Interpolation. QoMEX (2019)
Hanhe Lin, Vlad Hosu, Dietmar Saupe
KADID-10k: A Large-scale Artificially Distorted IQA Database. QoMEX (2019)
Hui Men, Hanhe Lin, Vlad Hosu, Daniel Maurer, Andrés Bruhn, Dietmar Saupe
Technical Report on Visual Quality Assessment for Frame Interpolation. CoRR (2019)
Hanhe Lin, Vlad Hosu, Dietmar Saupe
KonIQ-10k: Towards an ecologically valid and large-scale IQA database. CoRR (2018)
Oliver Wiedemann, Vlad Hosu, Hanhe Lin, Dietmar Saupe
Disregarding the Big Picture: Towards Local Image Quality Assessment. QoMEX (2018)
Vlad Hosu, Hanhe Lin, Dietmar Saupe
Expertise screening in crowdsourcing image quality. QoMEX (2018)
Hui Men, Hanhe Lin, Dietmar Saupe
Spatiotemporal Feature Combination Model for No-Reference Video Quality Assessment. QoMEX (2018)
Hui Men, Hanhe Lin, Dietmar Saupe
Empirical evaluation of no-reference VQA methods on a natural video quality database. QoMEX (2017)
Vlad Hosu, Franz Hahn, Mohsen Jenadeleh, Hanhe Lin, Hui Men, Tamás Szirányi, Shujun Li, Dietmar Saupe
The Konstanz natural video database (KoNViD-1k). QoMEX (2017)
Ahmad Shahi, Brendon J. Woodford, Hanhe Lin
Dynamic Real-Time Segmentation and Recognition of Activities Using a Multi-feature Windowing Approach. PAKDD (Workshops) (2017)
Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford, Ahmad Shahi
Online Weighted Clustering for Real-time Abnormal Event Detection in Video Surveillance. ACM Multimedia (2016)
Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford
Shot Boundary Detection Using Multi-instance Incremental and Decremental One-Class Support Vector Machine. PAKDD (1) (2016)
Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford
Anomaly detection in crowd scenes via online adaptive one-class support vector machines. ICIP (2015)
Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford
Spatial-Temporal Pyramid Matching for Crowd Scene Analysis. MLSDA@PRICAI (2014)
Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford
Event Detection Using Quantized Binary Code and Spatial-Temporal Locality Preserving Projections. Australasian Conference on Artificial Intelligence (2013)
Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford
Video manifold modelling: finding the right parameter settings for anomaly detection. IVCNZ (2012)