Learning residual images for face attribute manipulation W Shen, R Liu Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 315 | 2017 |
SVM-based active feedback in image retrieval using clustering and unlabeled data R Liu, Y Wang, T Baba, D Masumoto, S Nagata Pattern Recognition 41 (8), 2645-2655, 2008 | 109 | 2008 |
Multiple classifiers combination by clustering and selection R Liu, B Yuan Information fusion 2 (3), 163-168, 2001 | 84 | 2001 |
Deep Attention Gated Dilated Temporal Convolutional Networks with Intra-Parallel Convolutional Modules for End-to-End Monaural Speech Separation. Z Shi, H Lin, L Liu, R Liu, J Han, A Shi Interspeech, 3183-3187, 2019 | 37 | 2019 |
Hodgepodge: Sound event detection based on ensemble of semi-supervised learning methods Z Shi, L Liu, H Lin, R Liu, A Shi arXiv preprint arXiv:1907.07398, 2019 | 30 | 2019 |
Semi-supervised learning for large scale image cosegmentation Z Wang, R Liu Proceedings of the IEEE international conference on computer vision, 393-400, 2013 | 28 | 2013 |
FurcaNet: An end-to-end deep gated convolutional, long short-term memory, deep neural networks for single channel speech separation Z Shi, H Lin, L Liu, R Liu, S Hayakawa, S Harada, J Han arXiv preprint arXiv:1902.00651, 2019 | 25 | 2019 |
新一代 (第四代) 人机交互的概念框架特征及关键技术 袁保宗, 阮秋琦, 王延江, 刘汝杰, 唐晓芳 电子学报 31 (S1), 1945-1954, 2003 | 25 | 2003 |
Image retrieval apparatus R Liu, T Baba, S Endo, S Shiitani, Y Uehara, D Masumoto, S Nagata US Patent 8,433,137, 2013 | 22 | 2013 |
Drawing comparison apparatus R Liu, T Baba, S Endo, S Shiitani, Y Uehara, D Masumoto US Patent 7,106,330, 2006 | 22 | 2006 |
End-to-End Monaural Speech Separation with Multi-Scale Dynamic Weighted Gated Dilated Convolutional Pyramid Network. Z Shi, H Lin, L Liu, R Liu, S Hayakawa, S Harada, J Han Interspeech, 4614-4618, 2019 | 21 | 2019 |
Device part assembly drawing image search apparatus R Liu, T Baba, S Endo, S Shiitani, Y Uehara, D Masumoto US Patent App. 11/169,805, 2006 | 21 | 2006 |
Furcax: End-to-end monaural speech separation based on deep gated (de) convolutional neural networks with adversarial example training Z Shi, H Lin, L Liu, R Liu, S Hayakawa, J Han ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 20 | 2019 |
Shape detection from line drawings with local neighborhood structure R Liu, Y Wang, T Baba, D Masumoto Pattern Recognition 43 (5), 1907-1916, 2010 | 20 | 2010 |
Attributed graph matching based engineering drawings retrieval R Liu, T Baba, D Masumoto Document Analysis Systems VI: 6th International Workshop, DAS 2004, Florence …, 2004 | 19 | 2004 |
Improved knowledge distillation for training fast low resolution face recognition model M Wang, R Liu, N Hajime, A Narishige, H Uchida, T Matsunami Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 18 | 2019 |
Masked face recognition with mask transfer and self-attention under the COVID-19 pandemic M Zhang, R Liu, D Deguchi, H Murase IEEE Access 10, 20527-20538, 2022 | 17 | 2022 |
Shape comparison apparatus on contour decomposition and correspondence R Liu, T Baba, S Endo, S Shiitani, Y Uehara, D Masumoto US Patent 8,031,948, 2011 | 17 | 2011 |
Apparatus and method for three-dimensional model retrieval Y Wang, R Liu, T Baba, S Endo, S Shiitani, Y Uehara, D Masumoto, ... US Patent 8,169,433, 2012 | 15 | 2012 |
Large scale optimization with proximal stochastic Newton-type gradient descent Z Shi, R Liu Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015 | 14 | 2015 |