| Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-scale Image Retrieval Y Gong, S Lazebnik, A Gordo, F Perronnin IEEE, 2012 | 2873 | 2012 |
| Iterative quantization: A procrustean approach to learning binary codes Y Gong, S Lazebnik Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, 817-824, 2011 | 2872* | 2011 |
| Compressing deep convolutional networks using vector quantization Y Gong, L Liu, M Yang, L Bourdev arXiv preprint arXiv:1412.6115, 2014 | 1261 | 2014 |
| Multi-scale orderless pooling of deep convolutional activation features Y Gong, L Wang, R Guo, S Lazebnik Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 1203 | 2014 |
| A multi-view embedding space for modeling internet images, tags, and their semantics Y Gong, Q Ke, M Isard, S Lazebnik International journal of computer vision 106, 210-233, 2014 | 666 | 2014 |
| A multi-view embedding space for modeling internet images, tags, and their semantics Y Gong, Q Ke, M Isard, S Lazebnik International journal of computer vision 106, 210-233, 2014 | 666 | 2014 |
| Deep convolutional ranking for multilabel image annotation Y Gong, Y Jia, T Leung, A Toshev, S Ioffe arXiv preprint arXiv:1312.4894, 2013 | 517 | 2013 |
| Improving image-sentence embeddings using large weakly annotated photo collections Y Gong, L Wang, M Hodosh, J Hockenmaier, S Lazebnik Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 323 | 2014 |
| Learning binary codes for high-dimensional data using bilinear projections Y Gong, S Kumar, HA Rowley, S Lazebnik Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 196 | 2013 |
| Circulant binary embedding F Yu, S Kumar, Y Gong, SF Chang International conference on machine learning, 946-954, 2014 | 191 | 2014 |
| Asymmetric Distances for Binary Embeddings SL A. Gordo, F. Perronnin, Yunchao Gong PAMI, 2013 | 169* | 2013 |
| Angular quantization-based binary codes for fast similarity search Y Gong, S Kumar, V Verma, S Lazebnik Advances in neural information processing systems 25, 2012 | 130 | 2012 |
| Web scale photo hash clustering on a single machine Y Gong, M Pawlowski, F Yang, L Brandy, L Bourdev, R Fergus Proceedings of the ieee conference on computer vision and pattern …, 2015 | 101 | 2015 |
| Ranking approach to train deep neural nets for multilabel image annotation Y Gong, KHT Leung, AT Toshev, S Ioffe, Y Jia US Patent 9,552,549, 2017 | 32 | 2017 |
| On binary embedding using circulant matrices FX Yu, A Bhaskara, S Kumar, Y Gong, SF Chang Journal of Machine Learning Research 18 (150), 1-30, 2018 | 31 | 2018 |
| Semi-supervised method for gene expression data classification with Gaussian fields and harmonic functions YC Gong, CL Chen 2008 19th International Conference on Pattern Recognition, 1-4, 2008 | 23 | 2008 |
| Comparing data-dependent and data-independent embeddings for classification and ranking of internet images Y Gong, S Lazebnik CVPR 2011, 2633-2640, 2011 | 19 | 2011 |
| Systems and methods for utilizing compressed convolutional neural networks to perform media content processing Y Gong, L Liu, L Bourdev, M Yang, RD Fergus US Patent App. 14/982,874, 2017 | 13 | 2017 |
| Shape-Gain Sketches for Fast Image Similarity Search Y Gong, S Kumar, HA Rowley US Patent App. 13/733,335, 2015 | 10 | 2015 |
| Locality spectral clustering YC Gong, C Chen AI 2008: Advances in Artificial Intelligence: 21st Australasian Joint …, 2008 | 8 | 2008 |
Ming YangFacebook AI Research - NEC Laboratories AmericaVahvistettu sähköpostiosoite verkkotunnuksessa u.northwestern.edu
