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    Author information
    First name: Brian C.
    Last name: Lovell
    DBLP: 09/2347
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    Below you find the publications which have been written by this author.

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    Conference paper
    Liangchen Liu, Arnold Wiliem, Shaokang Chen, Brian C. Lovell.
    What is the best way for extracting meaningful attributes from pictures?
    Pattern Recognition 2017, Volume 64 (0) 2017
    Conference paper
    Ran He, Brian C. Lovell, Rama Chellappa, Anil K. Jain, Zhenan Sun.
    Editorial: Special issue on ubiquitous biometrics.
    Pattern Recognition 2017, Volume 66 (0) 2017
    Conference paper
    Johanna Carvajal, Daniel F. Smith, Kun Zhao, Arnold Wiliem, Paul Finucane, Peter Hobson, Anthony Jennings, Rodney McDougall, Brian C. Lovell.
    An Early Experience Toward Developing Computer Aided Diagnosis for Gram-Stained Smears Images.
    2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops, Honolulu, HI, USA, July 21-26, 2017 2017 (0) 2017
    Conference paper
    Liangchen Liu, Arnold Wiliem, Shaokang Chen, Brian C. Lovell.
    Automatic and Quantitative evaluation of attribute discovery methods.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Liangchen Liu, Arnold Wiliem, Shaokang Chen, Kun Zhao, Brian C. Lovell.
    Determining the best attributes for surveillance video keywords generation.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Johanna Carvajal, Arnold Wiliem, Chris McCool, Brian C. Lovell, Conrad Sanderson.
    Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Johanna Carvajal, Chris McCool, Brian C. Lovell, Conrad Sanderson.
    Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Mehrtash Tafazzoli Harandi, Richard I. Hartley, Brian C. Lovell, Conrad Sanderson.
    Sparse Coding on Symmetric Positive Definite Manifolds Using Bregman Divergences.
    IEEE Trans. Neural Netw. Learning Syst. 2016, Volume 27 (0) 2016
    Conference paper
    Teng Zhang, Liangchen Liu, Arnold Wiliem, Brian C. Lovell.
    Is alice chasing or being chased?: Determining subject and object of activities in videos.
    2016 IEEE Winter Conference on Applications of Computer Vision, WACV 2016, Lake Placid, NY, USA, March 7-10, 2016 2016 (0) 2016
    Conference paper
    Johanna Carvajal, Arnold Wiliem, Chris McCool, Brian C. Lovell, Conrad Sanderson.
    Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions.
    Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2016 Workshops, BDM, MLSDA, PACC, WDMBF Auckland, New Zealand, April 19, 2016, Revised Selected Papers 2016 (0) 2016
    Show item 1 to 10 of 178  

    Your query returned 178 matches in the database.