| Deep learning for visual understanding: A review Y Guo, Y Liu, A Oerlemans, S Lao, S Wu, MS Lew Neurocomputing 187, 27-48, 2016 | 586 | 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 | 61 | 2018 |
| Learning relaxed deep supervision for better edge detection Y Liu, MS Lew Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 40 | 2016 |
| 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 | 33 | 2015 |
| 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 | 30 | 2017 |
| 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 | 21 | 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 | 17 | 2018 |
| On the exploration of convolutional fusion networks for visual recognition Y Liu, Y Guo, MS Lew International conference on multimedia modeling, 277-289, 2017 | 12 | 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 |
| 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 | 7 | 2018 |
| Learning visual and textual representations for multimodal matching and classification Y Liu, L Liu, Y Guo, MS Lew Pattern Recognition 84, 51-67, 2018 | 6 | 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 | 6 | 2014 |
| 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 | 5 | 2017 |
| 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 | 4 | 2013 |
| What convnets make for image captioning? Y Liu, Y Guo, MS Lew International Conference on Multimedia Modeling, 416-428, 2017 | 3 | 2017 |
| 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 | 2 | 2018 |
| 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 | 2 | 2018 |
| Convolutional neural networks features: Principal pyramidal convolution Y Guo, S Lao, Y Liu, L Bai, S Liu, MS Lew Pacific Rim Conference on Multimedia, 245-253, 2015 | 2 | 2015 |
| 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 | 1 | 2019 |
| SwapGAN: A Multistage Generative Approach for Person-to-Person Fashion Style Transfer Y Liu, W Chen, L Liu, MS Lew IEEE Transactions on Multimedia, 2019 | 1 | 2019 |
Michael LewLeiden UniversityVerified email at liacs.nl
