Large-pose face alignment via CNN-based dense 3D model fitting A Jourabloo, X Liu Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 274 | 2016 |
Learning deep models for face anti-spoofing: Binary or auxiliary supervision Y Liu, A Jourabloo, X Liu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 191 | 2018 |
Face anti-spoofing using patch and depth-based CNNs Y Atoum, Y Liu, A Jourabloo, X Liu 2017 IEEE International Joint Conference on Biometrics (IJCB), 319-328, 2017 | 169 | 2017 |
Pose-invariant 3D face alignment A Jourabloo, X Liu Proceedings of the IEEE International Conference on Computer Vision, 3694-3702, 2015 | 150 | 2015 |
Do convolutional neural networks learn class hierarchy? A Bilal, A Jourabloo, M Ye, X Liu, L Ren IEEE transactions on visualization and computer graphics 24 (1), 152-162, 2017 | 111 | 2017 |
Face de-spoofing: Anti-spoofing via noise modeling A Jourabloo, Y Liu, X Liu Proceedings of the European Conference on Computer Vision (ECCV), 290-306, 2018 | 92 | 2018 |
Pose-invariant face alignment with a single cnn A Jourabloo, M Ye, X Liu, L Ren Proceedings of the IEEE International Conference on computer vision, 3200-3209, 2017 | 84 | 2017 |
Dense face alignment Y Liu, A Jourabloo, W Ren, X Liu Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 80 | 2017 |
Pose-invariant face alignment via CNN-based dense 3D model fitting A Jourabloo, X Liu International Journal of Computer Vision 124 (2), 187-203, 2017 | 68 | 2017 |
Attribute preserved face de-identification A Jourabloo, X Yin, X Liu 2015 International conference on biometrics (ICB), 278-285, 2015 | 57 | 2015 |
Deep tree learning for zero-shot face anti-spoofing Y Liu, J Stehouwer, A Jourabloo, X Liu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 55 | 2019 |
New algorithms for recovering highly corrupted images with impulse noise A Jourabloo, AH Feghahati, M Jamzad Scientia Iranica 19 (6), 1738-1745, 2012 | 54 | 2012 |
A bayesian framework for sparse representation-based 3-d human pose estimation B Babagholami-Mohamadabadi, A Jourabloo, A Zarghami, S Kasaei IEEE Signal Processing Letters 21 (3), 297-300, 2014 | 21 | 2014 |
3D human pose estimation from image using couple sparse coding M Zolfaghari, A Jourabloo, SG Gozlou, B Pedrood, MT Manzuri-Shalmani Machine vision and applications 25 (6), 1489-1499, 2014 | 12 | 2014 |
Bayesian supervised dictionary learning B Babagholami-Mohamadabadi, A Jourabloo, M Zolfaghari, ... Proceedings of the 2013 UAI Conference on Application Workshops: Big Data …, 2013 | 9 | 2013 |
Supervised dictionary learning using distance dependent indian buffet process B Babagholami-Mohamadabadi, A Jourabloo, A Zarghami, MS Baghshah 2013 IEEE International Workshop on Machine Learning for Signal Processing …, 2013 | 6 | 2013 |
Visual analytics system for convolutional neural network based classifiers B Alsallakh, A Jourabloo, M Ye, X Liu, L Ren US Patent App. 16/042,491, 2019 | 4 | 2019 |
Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofing J Stehouwer, A Jourabloo, Y Liu, X Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 3 | 2020 |
Presentation Attack Detection for Face in Mobile Phones Y Liu, J Stehouwer, A Jourabloo, Y Atoum, X Liu Selfie Biometrics, 171-196, 2019 | 3 | 2019 |
System and method for pose-invariant face alignment M Ye, L Ren, A Jourabloo US Patent 10,380,413, 2019 | 2 | 2019 |