Hanhe Lin - RankMe

70 papers A* 1A 1B 17Misc 2Journal 39Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SGNet: Style-Guided Network With Temporal Compensation for Unpaired Low-Light Colonoscopy Video Enhancement. IEEE Trans. Image Process. Guanghui Yue, Lixin Zhang, Wanqing Liu, Jingfeng Du, Tianwei Zhou, Hanhe Lin, Qiuping Jiang, Wenqi Ren
2025	J	`jnl`	CEPerFed: Communication-Efficient Personalized Federated Learning for Multi-Pulse MRI Classification. CoRR Ludi Li, Junbin Mao, Hanhe Lin, Xu Tian, Fang-Xiang Wu, Jin Liu
2025	J	`jnl`	Improving Novel view synthesis of 360 CoRR Guangan Chen, Anh Minh Truong, Hanhe Lin, Michiel Vlaminck, Wilfried Philips, Hiêp Quang Luong
2025	J	`jnl`	Inspired by pathogenic mechanisms: A novel gradual multi-modal fusion framework for mild cognitive impairment diagnosis. Neural Networks Xu Tian, Hong-Dong Li, Hanhe Lin, Chao Li, Yu-Ping Wang, Harrison X. Bai, Wei Lan, Jin Liu
2025	J	`jnl`	MMP-2K: A Benchmark Multi-Labeled Macro Photography Image Quality Assessment Database. CoRR Jiashuo Chang, Zhengyi Li, Jianxun Lou, Zhen Qiu, Hanhe Lin
2025	J	`jnl`	Multi-Modal Multi-Kernel Graph Learning for Autism Prediction and Biomarker Discovery. IEEE Trans. Comput. Biol. Bioinform. Jin Liu, Junbin Mao, Hanhe Lin, Hulin Kuang, Shirui Pan, Xusheng Wu, Shan Xie, Fei Liu, Yi Pan
2025	J	`jnl`	Multi-Scale Adaptive Graph Learning Based on Multi-Wave EEG Data for Dementia Diagnosis. Big Data Min. Anal. Jiaxin Wei, Bin Jiao, Hanhe Lin, Xu Tian, Lu Shen, Jin Liu
2025	—	`conf`	Radar-Based Cross-Environment Unsupervised Domain Adaptation for Human Activity Recognition. BIBM Ludi Li, Jin Liu, Hanhe Lin, Xu Tian, Mingzi Yuan, Jianchun Zhu, Jianxin Wang
2025	J	`jnl`	Toward Integrating Federated Learning With Split Learning via Spatio-Temporal Graph Framework for Brain Disease Prediction. IEEE Trans. Medical Imaging Junbin Mao, Jin Liu, Xu Tian, Yi Pan, Emanuele Trucco, Hanhe Lin
2024	J	`jnl`	Dual-Domain Feature Interaction Network for Automatic Colorectal Polyp Segmentation. IEEE Trans. Instrum. Meas. Guanghui Yue, Yuanyan Li, Shangjie Wu, Bin Jiang, Tianwei Zhou, Weiqing Yan, Hanhe Lin, Tianfu Wang
2024	J	`jnl`	Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model. IEEE Trans. Multim. Shaolin Su, Hanhe Lin, Vlad Hosu, Oliver Wiedemann, Jinqiu Sun, Yu Zhu, Hantao Liu, Yanning Zhang, Dietmar Saupe
2024	J	`jnl`	Graph-Based Fusion of Imaging, Genetic and Clinical Data for Degenerative Disease Diagnosis. IEEE ACM Trans. Comput. Biol. Bioinform. Rui Guo, Xu Tian, Hanhe Lin, Stephen J. McKenna, Hong-Dong Li, Fei Guo, Jin Liu
2024	J	`jnl`	Multi-Task Learning for Alzheimer's Disease Diagnosis and Mini-Mental State Examination Score Prediction. Big Data Min. Anal. Jin Liu, Xu Tian, Hanhe Lin, Hong-Dong Li, Yi Pan
2024	J	`jnl`	Neural Inference Search for Multiloss Segmentation Models. IEEE Trans. Neural Networks Learn. Syst. Sam Slade, Li Zhang, Haoqian Huang, Houshyar Asadi, Chee Peng Lim, Yonghong Yu, Dezong Zhao, Hanhe Lin, Rong Gao
2024	J	`jnl`	Predicting Radiologists' Gaze With Computational Saliency Models in Mammogram Reading. IEEE Trans. Multim. Jianxun Lou, Hanhe Lin, Philippa Young, Richard D. White, Zelei Yang, Susan Cheng Shelmerdine, David Marshall, Emiliano Spezi, Marco Palombo, Hantao Liu
2024	Misc	`conf`	Source-Free Domain Adaptation for Millimeter Wave Radar Based Human Activity Recognition. ICASSP Jin Liu, Dejiao Zeng, Ludi Li, Hanhe Lin, Xu Tian
2023	J	`jnl`	CUDAS: Distortion-Aware Saliency Benchmark. IEEE Access Xin Zhao, Jianxun Lou, Xinbo Wu, Yingying Wu, Lucie Lévêque, Xiaochang Liu, Pengfei Guo, Yipeng Qin, Hanhe Lin, Dietmar Saupe, Hantao Liu
2023	—	`conf`	FedGST: Federated Graph Spatio-Temporal Framework for Brain Functional Disease Prediction. BIBM Junbin Mao, Hanhe Lin, Xu Tian, Yi Pan, Jin Liu
2023	B	`conf`	Localization of Just Noticeable Difference for Image Compression. QoMEX Guangan Chen, Hanhe Lin, Oliver Wiedemann, Dietmar Saupe
2023	J	`jnl`	Localization of Just Noticeable Difference for Image Compression. CoRR Guangan Chen, Hanhe Lin, Oliver Wiedemann, Dietmar Saupe
2023	J	`jnl`	Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery. CoRR Junbin Mao, Jin Liu, Hanhe Lin, Hulin Kuang, Shirui Pan, Yi Pan
2023	—	`conf`	Underwater Object Detection for Smooth and Autonomous Operations of Naval Missions: A Pilot Dataset. BICS Yijun Yan, Yinhe Li, Hanhe Lin, Md. Mostafa Kamal Sarker, Jinchang Ren, John McCall
2022	B	`conf`	Crowdsourced Quality Assessment of Enhanced Underwater Images - a Pilot Study. QoMEX Hanhe Lin, Hui Men, Yijun Yan, Jinchang Ren, Dietmar Saupe
2022	J	`jnl`	Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model. CoRR Shaolin Su, Hanhe Lin, Vlad Hosu, Oliver Wiedemann, Jinqiu Sun, Yu Zhu, Hantao Liu, Yanning Zhang, Dietmar Saupe
2022	J	`jnl`	Large-Scale Crowdsourced Subjective Assessment of Picturewise Just Noticeable Difference. IEEE Trans. Circuits Syst. Video Technol. Hanhe Lin, Guangan Chen, Mohsen Jenadeleh, Vlad Hosu, Ulf-Dietrich Reips, Raouf Hamzaoui, Dietmar Saupe
2022	B	`conf`	Predicting Radiologist Attention During Mammogram Reading with Deep and Shallow High-Resolution Encoding. ICIP Jianxun Lou, Hanhe Lin, David Marshall, Richard D. White, Young Yang, Susan Cheng Shelmerdine, Hantao Liu
2022	J	`jnl`	TranSalNet: Towards perceptually relevant visual saliency prediction. Neurocomputing Jianxun Lou, Hanhe Lin, David Marshall, Dietmar Saupe, Hantao Liu
2021	A	`conf`	KonIQ++: Boosting No-Reference Image Quality Assessment in the Wild by Jointly Predicting Image Quality and Defects. BMVC Shaolin Su, Vlad Hosu, Hanhe Lin, Yanning Zhang, Dietmar Saupe
2021	J	`jnl`	KonVid-150k: A Dataset for No-Reference Video Quality Assessment of Videos in-the-Wild. IEEE Access Franz Götz-Hahn, Vlad Hosu, Hanhe Lin, Dietmar Saupe
2021	B	`conf`	Positional Encoding: Improving Class-Imbalanced Motorcycle Helmet use Classification. ICIP Hanhe Lin, Guangan Chen, Felix Wilhelm Siebert
2021	J	`jnl`	Subjective Image Quality Assessment With Boosted Triplet Comparisons. IEEE Access Hui Men, Hanhe Lin, Mohsen Jenadeleh, Dietmar Saupe
2021	J	`jnl`	Subjective Image Quality Assessment with Boosted Triplet Comparisons. CoRR Hui Men, Hanhe Lin, Mohsen Jenadeleh, Dietmar Saupe
2021	J	`jnl`	TranSalNet: Visual saliency prediction using transformers. CoRR Jianxun Lou, Hanhe Lin, David Marshall, Dietmar Saupe, Hantao Liu
2020	B	`conf`	Deep Learning VS. Traditional Algorithms for Saliency Prediction of Distorted Images. ICIP Xin Zhao, Hanhe Lin, Pengfei Guo, Dietmar Saupe, Hantao Liu
2020	J	`jnl`	DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning. CoRR Hanhe Lin, Vlad Hosu, Dietmar Saupe
2020	—	`conf`	EvolGAN: Evolutionary Generative Adversarial Networks. ACCV (4) Baptiste Rozière, Fabien Teytaud, Vlad Hosu, Hanhe Lin, Jérémy Rapin, Mariia Zameshina, Olivier Teytaud
2020	J	`jnl`	EvolGAN: Evolutionary Generative Adversarial Networks. CoRR Baptiste Rozière, Fabien Teytaud, Vlad Hosu, Hanhe Lin, Jérémy Rapin, Mariia Zameshina, Olivier Teytaud
2020	—	`conf`	Evolutionary super-resolution. GECCO Companion Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Hanhe Lin, Andry Rasoanaivo, Olivier Teytaud, Camille Couprie
2020	B	`conf`	Foveated Video Coding for Real-Time Streaming Applications. QoMEX Oliver Wiedemann, Vlad Hosu, Hanhe Lin, Dietmar Saupe
2020	J	`jnl`	Helmet Use Detection of Tracked Motorcycles Using CNN-Based Multi-Task Learning. IEEE Access Hanhe Lin, Jeremiah D. Deng, Deike Albers, Felix Wilhelm Siebert
2020	J	`jnl`	KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment. IEEE Trans. Image Process. Vlad Hosu, Hanhe Lin, Tamás Szirányi, Dietmar Saupe
2020	J	`jnl`	SUR-FeatNet: Predicting the Satisfied User Ratio Curvefor Image Compression with Deep Feature Learning. CoRR Hanhe Lin, Vlad Hosu, Chunling Fan, Yun Zhang, Yuchen Mu, Raouf Hamzaoui, Dietmar Saupe
2020	J	`jnl`	SUR-FeatNet: Predicting the satisfied user ratio curve for image compression with deep feature learning. Qual. User Exp. Hanhe Lin, Vlad Hosu, Chunling Fan, Yun Zhang, Yuchen Mu, Raouf Hamzaoui, Dietmar Saupe
2020	J	`jnl`	Subjective Annotation for a Frame Interpolation Benchmark using Artifact Amplification. CoRR Hui Men, Vlad Hosu, Hanhe Lin, Andrés Bruhn, Dietmar Saupe
2020	—	`conf`	Subjective Assessment of Global Picture-Wise Just Noticeable Difference. ICME Workshops Hanhe Lin, Mohsen Jenadeleh, Guangan Chen, Ulf-Dietrich Reips, Raouf Hamzaoui, Dietmar Saupe
2020	J	`jnl`	Subjective annotation for a frame interpolation benchmark using artefact amplification. Qual. User Exp. Hui Men, Vlad Hosu, Hanhe Lin, Andrés Bruhn, Dietmar Saupe
2020	B	`conf`	Tarsier: Evolving Noise Injection in Super-Resolution GANs. ICPR Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Andry Rasoanaivo, Hanhe Lin, Camille Couprie, Olivier Teytaud
2020	J	`jnl`	Tarsier: Evolving Noise Injection in Super-Resolution GANs. CoRR Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Andry Rasoanaivo, Hanhe Lin, Camille Couprie, Olivier Teytaud
2020	B	`conf`	Visual Quality Assessment for Interpolated Slow-Motion Videos Based on a Novel Database. QoMEX Hui Men, Vlad Hosu, Hanhe Lin, Andrés Bruhn, Dietmar Saupe
2019	J	`jnl`	Algorithm Selection for Image Quality Assessment. CoRR Markus Wagner, Hanhe Lin, Shujun Li, Dietmar Saupe
2019	J	`jnl`	Detecting motorcycle helmet use with deep learning. CoRR Felix Wilhelm Siebert, Hanhe Lin
2019	B	`conf`	KADID-10k: A Large-scale Artificially Distorted IQA Database. QoMEX Hanhe Lin, Vlad Hosu, Dietmar Saupe
2019	J	`jnl`	KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessment. CoRR Vlad Hosu, Hanhe Lin, Tamás Szirányi, Dietmar Saupe
2019	J	`jnl`	No-Reference Video Quality Assessment using Multi-Level Spatially Pooled Features. CoRR Franz Götz-Hahn, Vlad Hosu, Hanhe Lin, Dietmar Saupe
2019	B	`conf`	SUR-Net: Predicting the Satisfied User Ratio Curve for Image Compression with Deep Learning. QoMEX Chunling Fan, Hanhe Lin, Vlad Hosu, Yun Zhang, Qingshan Jiang, Raouf Hamzaoui, Dietmar Saupe
2019	J	`jnl`	Technical Report on Visual Quality Assessment for Frame Interpolation. CoRR Hui Men, Hanhe Lin, Vlad Hosu, Daniel Maurer, Andrés Bruhn, Dietmar Saupe
2019	B	`conf`	Visual Quality Assessment for Motion Compensated Frame Interpolation. QoMEX Hui Men, Hanhe Lin, Vlad Hosu, Daniel Maurer, Andrés Bruhn, Dietmar Saupe
2018	B	`conf`	Disregarding the Big Picture: Towards Local Image Quality Assessment. QoMEX Oliver Wiedemann, Vlad Hosu, Hanhe Lin, Dietmar Saupe
2018	B	`conf`	Expertise screening in crowdsourcing image quality. QoMEX Vlad Hosu, Hanhe Lin, Dietmar Saupe
2018	J	`jnl`	KonIQ-10k: Towards an ecologically valid and large-scale IQA database. CoRR Hanhe Lin, Vlad Hosu, Dietmar Saupe
2018	B	`conf`	Spatiotemporal Feature Combination Model for No-Reference Video Quality Assessment. QoMEX Hui Men, Hanhe Lin, Dietmar Saupe
2017	—	`conf`	Dynamic Real-Time Segmentation and Recognition of Activities Using a Multi-feature Windowing Approach. PAKDD (Workshops) Ahmad Shahi, Brendon J. Woodford, Hanhe Lin
2017	B	`conf`	Empirical evaluation of no-reference VQA methods on a natural video quality database. QoMEX Hui Men, Hanhe Lin, Dietmar Saupe
2017	B	`conf`	The Konstanz natural video database (KoNViD-1k). QoMEX Vlad Hosu, Franz Hahn, Mohsen Jenadeleh, Hanhe Lin, Hui Men, Tamás Szirányi, Shujun Li, Dietmar Saupe
2016	A*	`conf`	Online Weighted Clustering for Real-time Abnormal Event Detection in Video Surveillance. ACM Multimedia Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford, Ahmad Shahi
2016	—	`conf`	Shot Boundary Detection Using Multi-instance Incremental and Decremental One-Class Support Vector Machine. PAKDD (1) Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford
2015	B	`conf`	Anomaly detection in crowd scenes via online adaptive one-class support vector machines. ICIP Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford
2014	—	`conf`	Spatial-Temporal Pyramid Matching for Crowd Scene Analysis. MLSDA@PRICAI Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford
2013	—	`conf`	Event Detection Using Quantized Binary Code and Spatial-Temporal Locality Preserving Projections. Australasian Conference on Artificial Intelligence Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford
2012	Misc	`conf`	Video manifold modelling: finding the right parameter settings for anomaly detection. IVCNZ Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford