Image Decomposition: Traditional Approaches MF Tappen Computer Vision: A Reference Guide, 605-607, 2021 | | 2021 |
Learning-based shadow recognition and removal from monochromatic natural images M Xu, J Zhu, P Lv, B Zhou, MF Tappen, R Ji IEEE Transactions on Image Processing 26 (12), 5811-5824, 2017 | 63 | 2017 |
Exploring sparseness and self-similarity for action recognition C Sun, IN Junejo, M Tappen, H Foroosh IEEE Transactions on Image Processing 24 (8), 2488-2501, 2015 | 45 | 2015 |
Sparse convolutional neural networks B Liu, M Wang, H Foroosh, M Tappen, M Pensky Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 1040 | 2015 |
Exploring album structure for face recognition in online social networks J Hochreiter, Z Han, SZ Masood, S Fonte, M Tappen Image and Vision Computing 32 (10), 751-760, 2014 | 2 | 2014 |
Bayesian approach to alignment-based image hallucination C Liu, MF Tappen US Patent 8,837,861, 2014 | | 2014 |
Action recognition by weakly-supervised discriminative region localization H Boyraz12, SZ Masood13, B Liu, M Tappen12, H Foroosh | 9 | 2014 |
Feature-independent action spotting without human localization, segmentation or frame-wise tracking C Sun, M Tappen, H Foroosh Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 23 | 2014 |
Image Decompositions. MF Tappen, K Ikeuchi Computer Vision, A Reference Guide, 373-376, 2014 | 1 | 2014 |
Intrinsic Images. MF Tappen Computer Vision, A Reference Guide, 424-425, 2014 | 2 | 2014 |
Discriminative dictionary learning with spatial priors N Khan, MF Tappen 2013 IEEE International Conference on Image Processing, 166-170, 2013 | 13 | 2013 |
Album-oriented face recognition for online social networks Z Han, SZ Masood, J Hochreiter, S Fonte, M Tappen 2013 10th IEEE International Conference and Workshops on Automatic Face and …, 2013 | | 2013 |
Exploring the trade-off between accuracy and observational latency in action recognition C Ellis, SZ Masood, MF Tappen, JJ LaViola, R Sukthankar International Journal of Computer Vision 101, 420-436, 2013 | 311 | 2013 |
Probabilistic label trees for efficient large scale image classification B Liu, F Sadeghi, M Tappen, O Shamir, C Liu Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 117 | 2013 |
Stable discriminative dictionary learning via discriminative deviation N Khan, M Tappen Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 6 | 2012 |
Systems and Methods for Automatically Identifying Shadows in Images M Tappen, J Zhu US Patent App. 13/298,378, 2012 | 14 | 2012 |
Playing with puffball: simple scale-invariant inflation for use in vision and graphics NR Twarog, MF Tappen, EH Adelson Proceedings of the ACM symposium on applied perception, 47-54, 2012 | 21 | 2012 |
Separable Markov random field model and its applications in low level vision J Sun, MF Tappen IEEE transactions on image processing 22 (1), 402-407, 2012 | 43 | 2012 |
Modeling images with undirected graphical models MF Tappen Image Processing and Analysis with Graphs: Theory and Practice, 475-496, 2012 | 2 | 2012 |
Latent pyramidal regions for recognizing scenes F Sadeghi, MF Tappen Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 105 | 2012 |