| Recurring the Transformer for Video Action Recognition DY Jiewen Yang, Xingbo Dong, Liujun Liu1, Chao Zhang, Jiajun Shen CVPR, 2022 | 68* | 2022 |
| Efficient and accurate quantized image super-resolution on mobile NPUs, mobile AI & AIM 2022 challenge: report A Ignatov, R Timofte, M Denna, A Younes, G Gankhuyag, J Huh, MK Kim, ... European conference on computer vision, 92-129, 2022 | 28 | 2022 |
| Srdgan: learning the noise prior for super resolution with dual generative adversarial networks J Guan, C Pan, S Li, D Yu arXiv preprint arXiv:1903.11821, 2019 | 22 | 2019 |
| Efficient highlight removal of metal surfaces D Yu, J Han, X Jin, J Han Signal processing 103, 367-379, 2014 | 20 | 2014 |
| End-to-end denoising of dark burst images using recurrent fully convolutional networks D Zhao, L Ma, S Li, D Yu arXiv preprint arXiv:1904.07483, 2019 | 19 | 2019 |
| Adversarial auto-encoder domain adaptation for cold-start recommendation with positive and negative hypergraphs H Wu, J Long, N Li, D Yu, MK Ng ACM Transactions on Information Systems 41 (2), 1-25, 2022 | 16 | 2022 |
| The application of manifold based visual speech units for visual speech recognition D Yu Dublin City University, 2008 | 12 | 2008 |
| A new manifold representation for visual speech recognition D Yu, O Ghita, A Sutherland, PF Whelan Computer Analysis of Images and Patterns: 12th International Conference …, 2007 | 9 | 2007 |
| A novel visual speech representation and HMM classification for visual speech recognition D Yu, O Ghita, A Sutherland, PF Whelan Advances in Image and Video Technology: Third Pacific Rim Symposium, PSIVT …, 2009 | 8 | 2009 |
| Learning Intrinsic and Extrinsic Intentions for Cold-start Recommendation with Neural Stochastic Processes MNG Huafeng Liu, Liping Jing, Dahai Yu 30th ACM International Conference on Multimedia, 2022 | 7 | 2022 |
| A novel visual speech representation and HMM classification for visual speech recognition D Yu, O Ghita, A Sutherland, PF Whelan IPSJ Transactions on Computer Vision and Applications 2, 25-38, 2010 | 7 | 2010 |
| Weakly supervised learning for airplane detection in remote sensing images D Zhang, J Han, D Yu, J Han The Proceedings of the Second International Conference on Communications …, 2014 | 6 | 2014 |
| A novel saliency detection framework for infrared thermal images D Yu, J Han, Y Ye, Z Fang 2014 International Conference on Orange Technologies, 57-60, 2014 | 5 | 2014 |
| Blind image quality assessment via content-invariant statistical feature Y Yang, G Cheng, D Yu, R Ye Optik 138, 21-32, 2017 | 4 | 2017 |
| A Saliency Based Human Detection Framework for Infrared Thermal Images X Wang, D Yu, J Han, G Zhang Computer Vision: Second CCF Chinese Conference, CCCV 2017, Tianjin, China …, 2017 | 3 | 2017 |
| Multi-interest refinement by collaborative attributes modeling for click-through rate prediction H Zhou, J Fan, X Huang, KH Li, Z Tang, D Yu Proceedings of the 31st ACM International Conference on Information …, 2022 | 2 | 2022 |
| Freight Status Classification in Real-World Images Using SIFT and KNN Model D Wang, D Yu, J Han, S Li The Proceedings of the Second International Conference on Communications …, 2014 | 2 | 2014 |
| The Application of Digital Image Processing in Freight Train Inspection System D Yu, J Han | 2 | 2011 |
| Assigned MURA defect generation based on diffusion model W Liu, C Liu, Q Liu, D Yu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 1 | 2023 |
| Dictionary-based lip reading classification D Yu, O Ghita, A Sutherland, PF Whelan | 1 | 2006 |
Alistair SutherlandSchool of Computing, Dublin City UniversityE-mail megerősítve itt: computing.dcu.ie
