| Deep learning for visual understanding: A review Y Guo, Y Liu, A Oerlemans, S Lao, S Wu, MS Lew Neurocomputing 187, 27-48, 2016 | 1307 | 2016 |
| A review of semantic segmentation using deep neural networks Y Guo, Y Liu, T Georgiou, MS Lew International journal of multimedia information retrieval 7 (2), 87-93, 2018 | 243 | 2018 |
| Learning a recurrent residual fusion network for multimodal matching Y Liu, Y Guo, EM Bakker, MS Lew Proceedings of the IEEE International Conference on Computer Vision, 4107-4116, 2017 | 87 | 2017 |
| Learning relaxed deep supervision for better edge detection Y Liu, MS Lew Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 87 | 2016 |
| CNN-RNN: a large-scale hierarchical image classification framework Y Guo, Y Liu, EM Bakker, Y Guo, MS Lew Multimedia tools and applications 77 (8), 10251-10271, 2018 | 67 | 2018 |
| Deepindex for accurate and efficient image retrieval Y Liu, Y Guo, S Wu, MS Lew Proceedings of the 5th ACM on International Conference on Multimedia …, 2015 | 41 | 2015 |
| Hierarchical projective invariant contexts for shape recognition Q Jia, X Fan, Y Liu, H Li, Z Luo, H Guo Pattern Recognition 52, 358-374, 2016 | 34 | 2016 |
| A survey of traditional and deep learning-based feature descriptors for high dimensional data in computer vision T Georgiou, Y Liu, W Chen, M Lew International Journal of Multimedia Information Retrieval 9 (3), 135-170, 2020 | 26 | 2020 |
| A Simple Convolutional Neural Network for Accurate P300 Detection and Character Spelling in Brain Computer Interface. H Shan, Y Liu, TP Stefanov IJCAI, 1604-1610, 2018 | 26 | 2018 |
| Swapgan: A multistage generative approach for person-to-person fashion style transfer Y Liu, W Chen, L Liu, MS Lew IEEE Transactions on Multimedia 21 (9), 2209-2222, 2019 | 23 | 2019 |
| CycleMatch: A cycle-consistent embedding network for image-text matching Y Liu, Y Guo, L Liu, EM Bakker, MS Lew Pattern Recognition 93, 365-379, 2019 | 18 | 2019 |
| On the exploration of convolutional fusion networks for visual recognition Y Liu, Y Guo, MS Lew International conference on multimedia modeling, 277-289, 2017 | 17 | 2017 |
| Learning visual and textual representations for multimodal matching and classification Y Liu, L Liu, Y Guo, MS Lew Pattern Recognition 84, 51-67, 2018 | 15 | 2018 |
| Fusion that matters: convolutional fusion networks for visual recognition Y Liu, Y Guo, T Georgiou, MS Lew Multimedia Tools and Applications 77 (22), 29407-29434, 2018 | 13 | 2018 |
| Bag of surrogate parts feature for visual recognition Y Guo, Y Liu, S Lao, EM Bakker, L Bai, MS Lew IEEE Transactions on Multimedia 20 (6), 1525-1536, 2017 | 11 | 2017 |
| A sparse representation approach for local feature based expression recognition Q Jia, Y Liu, H Guo, Z Luo, Y Wang 2011 International Conference on Multimedia Technology, 4788-4792, 2011 | 10 | 2011 |
| Learning fluid flows T Georgiou, S Schmitt, M Olhofer, Y Liu, T Bäck, M Lew 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 7 | 2018 |
| A new geometric descriptor for symbols with affine deformations Q Jia, X Fan, Z Luo, Y Liu, H Guo Pattern Recognition Letters 40, 128-135, 2014 | 7 | 2014 |
| An Extensive Study of Cycle-Consistent Generative Networks for Image-to-Image Translation Y Liu, Y Guo, W Chen, MS Lew 2018 24th International Conference on Pattern Recognition (ICPR), 219-224, 2018 | 5 | 2018 |
| A shape matching framework using metric partition constraint Y Liu, Q Jia, H Guo, X Fan 2013 IEEE International Conference on Image Processing, 3494-3498, 2013 | 5 | 2013 |
Michael LewLeiden UniversityVerified email at liacs.nl
