Hanhe Lin

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Lin, Hanhe

Dr

 https://orcid.org/0000-0002-0297-3549
Calculated based on number of publications stored in Pure and citations from Scopus
20102025

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  • 2024

    FedGST: Federated Graph Spatio-Temporal Framework for Brain Functional Disease Prediction

    Mao, J., Lin, H., Tian, X., Pan, Y. & Liu, J., 18 Jan 2024, Proceedings of 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Jiang, X., Wang, H., Alhajj, R., Hu, X., Engel, F., Mahmud, M., Pisanti, N., Cui, X. & Song, H. (eds.). Istanbul: Institute of Electrical and Electronics Engineers Inc., p. 1356-1361 6 p. 10385983

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    File
    4 Citations (Scopus)
    126 Downloads (Pure)

  • Underwater Object Detection for Smooth and Autonomous Operations of Naval Missions: A Pilot Dataset

    Yan, Y., Li, Y., Lin, H., Sarker, M. M. K., Ren, J. (Lead / Corresponding author) & McCall, J., 22 May 2024, (E-pub ahead of print) Advances in Brain Inspired Cognitive Systems: 13th International Conference, BICS 2023, Proceedings. Ren, J., Hussain, A., Liao, I. Y., Chen, R., Huang, K., Zhao, H., Liu, X., Ma, P. & Maul, T. (eds.). Springer Singapore, p. 113-122 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14374 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2023

    Localization of just noticeable difference for image compression

    Chen, G., Lin, H., Wiedemann, O. & Saupe, D., 18 Jul 2023, 2023 15th International Conference on Quality of Multimedia Experience, QoMEX 2023. Institute of Electrical and Electronics Engineers Inc., p. 61-66 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    File
    73 Downloads (Pure)
  • 2022

    Crowdsourced Quality Assessment of Enhanced Underwater Images: a Pilot Study

    Lin, H., Men, H., Yan, Y., Ren, J. & Saupe, D., 4 Oct 2022, 2022 14th International Conference on Quality of Multimedia Experience (QoMEX). IEEE, p. 1-4 4 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    File
    2 Citations (Scopus)
    97 Downloads (Pure)

  • Predicting radiologist attention during mammogram reading with deep and shallow high-resolution encoding

    Lou, J., Lin, H., Marshall, D., White, R., Yang, Y., Shelmerdine, S. & Liu, H., 2022, 2022 IEEE International Conference on Image Processing (ICIP). IEEE Computer Society, p. 961-965 5 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    File
    1 Citation (Scopus)
    60 Downloads (Pure)
  • 2021

    EvolGAN: Evolutionary Generative Adversarial Networks

    Roziere, B., Teytaud, F., Hosu, V., Lin, H., Rapin, J., Zameshina, M. & Teytaud, O., 2021, Computer Vision – ACCV 2020 : 15th Asian Conference on Computer Vision, 2020, Revised Selected Papers. Ishikawa, H., Liu, C.-L., Pajdla, T. & Shi, J. (eds.). Cham: Springer Nature Switzerland AG, p. 679-694 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12625 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    2 Citations (Scopus)
  • 2020

    Deep learning vs. traditional algorithms for saliency prediction of distorted images

    Zhao, X., Lin, H., Guo, P., Saupe, D. & Liu, H., Oct 2020, 2020 IEEE International Conference on Image Processing (ICIP): proceedings. IEEE, p. 156-160 5 p. (Proceedings - International Conference on Image Processing, ICIP; vol. 2020-October).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    4 Citations (Scopus)

  • Evolutionary super-resolution

    Roziere, B., Rakotonirina, N. C., Hosu, V., Lin, H., Rasoanaivo, A., Teytaud, O. & Couprie, C., 8 Jul 2020, GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. New York, NY: Association for Computing Machinery, p. 151-152 2 p. (GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    1 Citation (Scopus)

  • Foveated video coding for real-time streaming applications

    Wiedemann, O., Hosu, V., Lin, H. & Saupe, D., 23 Jun 2020, 2020 12th International Conference on Quality of Multimedia Experience (QoMEX 2020). IEEE, 6 p. 9123080. (2020 12th International Conference on Quality of Multimedia Experience, QoMEX 2020).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    6 Citations (Scopus)

  • Subjective assessment of global picture-wise just noticeable difference

    Lin, H., Jenadeleh, M., Chen, G., Reips, U. D., Hamzaoui, R. & Saupe, D., Jul 2020, 2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW). IEEE, 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    7 Citations (Scopus)

  • Tarsier: evolving noise injection in super-resolution GANs

    Roziere, B., Rakotonirina, N. C., Hosu, V., Rasoanaivo, A., Lin, H., Couprie, C. & Teytaud, O., 2020, 2020 25th International Conference on Pattern Recognition (ICPR). IEEE, p. 7028-7035 8 p. 9413318. (Proceedings - International Conference on Pattern Recognition).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    3 Citations (Scopus)

  • Visual quality assessment for interpolated slow-motion videos based on a novel database

    Men, H., Hosu, V., Lin, H., Bruhn, A. & Saupe, D., 23 Jun 2020, 2020 12th International Conference on Quality of Multimedia Experience (QoMEX 2020). IEEE, 6 p. 9123096. (2020 12th International Conference on Quality of Multimedia Experience, QoMEX 2020).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    12 Citations (Scopus)
  • 2019

    KADID-10k: a large-scale artificially distorted IQA database

    Lin, H., Hosu, V. & Saupe, D., 24 Jun 2019, 2019 11th International Conference on Quality of Multimedia Experience (QoMEX 2019). IEEE, 3 p. 8743252. (2019 11th International Conference on Quality of Multimedia Experience, QoMEX 2019).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    384 Citations (Scopus)

  • SUR-Net: predicting the satisfied user ratio curve for image compression with deep learning

    Fan, C., Lin, H., Hosu, V., Zhang, Y., Jiang, Q., Hamzaoui, R. & Saupe, D., 24 Jun 2019, 2019 11th International Conference on Quality of Multimedia Experience (QoMEX). Piscataway, NJ: IEEE, 6 p. 8743204. (2019 11th International Conference on Quality of Multimedia Experience, QoMEX 2019).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    23 Citations (Scopus)

  • Visual quality assessment for motion compensated frame interpolation

    Men, H., Lin, H., Hosu, V., Maurer, D., Bruhn, A. & Saupe, D., 24 Jun 2019, 2019 11th International Conference on Quality of Multimedia Experience (QoMEX 2019). IEEE, 8743221. (2019 11th International Conference on Quality of Multimedia Experience, QoMEX 2019).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    6 Citations (Scopus)
  • 2018

    Disregarding the big picture: towards local image quality assessment

    Wiedemann, O., Hosu, V., Lin, H. & Saupe, D., 11 Sept 2018, 2018 10th International Conference on Quality of Multimedia Experience (QoMEX 2018). IEEE, 6 p. 8463384. (2018 10th International Conference on Quality of Multimedia Experience, QoMEX 2018).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    12 Citations (Scopus)

  • Expertise screening in crowdsourcing image quality

    Hosu, V., Lin, H. & Saupe, D., 13 Sept 2018, 2018 10th International Conference on Quality of Multimedia Experience, QoMEX 2018. IEEE, 6 p. 8463427. (2018 10th International Conference on Quality of Multimedia Experience, QoMEX 2018).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    11 Citations (Scopus)

  • Spatiotemporal feature combination model for no-reference video quality assessment

    Men, H., Lin, H. & Saupe, D., 11 Sept 2018, 2018 10th International Conference on Quality of Multimedia Experience (QoMEX 2018). IEEE, 3 p. 8463426. (2018 10th International Conference on Quality of Multimedia Experience, QoMEX 2018).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    32 Citations (Scopus)
  • 2017

    Dynamic real-time segmentation and recognition of activities using a multi-feature windowing approach

    Shahi, A., Woodford, B. J. & Lin, H., 7 Oct 2017, Trends and Applications in Knowledge Discovery and Data Mining : PAKDD 2017. Kang, U., Lim, E.-P., Yu, J. X. & Moon, Y.-S. (eds.). Cham: Springer , p. 26-38 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10526 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    14 Citations (Scopus)

  • Empirical evaluation of no-reference VQA methods on a natural video quality database

    Men, H., Lin, H. & Saupe, D., 3 Jul 2017, 2017 9th International Conference on Quality of Multimedia Experience (QoMEX 2017). IEEE, 3 p. 7965644. (2017 9th International Conference on Quality of Multimedia Experience, QoMEX 2017).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    19 Citations (Scopus)

  • The Konstanz natural video database (KoNViD-1k)

    Hosu, V., Hahn, F., Jenadeleh, M., Lin, H., Men, H., Szirányi, T., Li, S. & Saupe, D., 30 Jun 2017, 2017 9th International Conference on Quality of Multimedia Experience (QoMEX 2017). IEEE, 6 p. 7965673. (2017 9th International Conference on Quality of Multimedia Experience, QoMEX 2017).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    264 Citations (Scopus)
  • 2016

    Online weighted clustering for real-time abnormal event detection in video surveillance

    Lin, H., Deng, J. D., Woodford, B. J. & Shahi, A., 1 Oct 2016, MM 2016: Proceedings of the 2016 ACM Multimedia Conference. New York, NY: Association for Computing Machinery, p. 536-540 5 p. (MM 2016 - Proceedings of the 2016 ACM Multimedia Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    21 Citations (Scopus)

  • Shot boundary detection using multi-instance incremental and decremental one-class support vector machine

    Lin, H., Deng, J. D. & Woodford, B. J., 12 Apr 2016, Advances in Knowledge Discovery and Data Mining: PAKDD 2016. Bailey, J., Khan, L., Washio, T., Dobbie, G., Huang, J. Z. & Wang, R. (eds.). Cham: Springer , p. 165-176 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9651).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    1 Citation (Scopus)
  • 2015

    Anomaly detection in crowd scenes via online adaptive one-class support vector machines

    Lin, H., Deng, J. D. & Woodford, B. J., 10 Dec 2015, 2015 IEEE International Conference on Image Processing (ICIP) : Proceedings. IEEE, p. 2434-2438 5 p. (Proceedings - International Conference on Image Processing; vol. 2015-December).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    10 Citations (Scopus)
  • 2014

    Spatial-temporal pyramid matching for crowd scene analysis

    Lin, H., Deng, J. D. & Woodford, B. J., 2 Dec 2014, Proceedings of MLSDA 2014: 2nd Workshop on Machine Learning for Sensory Data Analysis. Rahman, A., Deng, J. D. & Li, J. (eds.). New York, NY: Association for Computing Machinery (ACM), p. 12-18 7 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2013

    Event detection using quantized binary code and spatial-temporal locality preserving projections

    Lin, H., Deng, J. D. & Woodford, B. J., 2013, AI 2013: Advances in Artificial Intelligence. Cranefield, S. & Nayak, A. (eds.). Cham, p. 123-134 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8272).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    1 Citation (Scopus)
  • 2012

    Video manifold modelling: finding the right parameter settings for anomaly detection

    Lin, H., Deng, J. D. & Woodford, B. J., 26 Nov 2012, IVCNZ '12: Proceedings of the 27th Conference on Image and Vision Computing New Zealand. McCane, B., Mills, S. & Dreng, J. (eds.). New York, NY: Association for Computing Machinery (ACM), p. 168-173 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2010

    Predicting sensitive relationships from email corpus

    Lin, H., 2010, Proceedings: 4th International Conference on Genetic and Evolutionary Computing. IEEE, p. 264-267 4 p. 5715420

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    2 Citations (Scopus)