| Learning deep hierarchical visual feature coding H Goh, N Thome, M Cord, JH Lim IEEE transactions on neural networks and learning systems 25 (12), 2212-2225, 2014 | 104 | 2014 |
| Unsupervised and supervised visual codes with restricted boltzmann machines H Goh, N Thome, M Cord, JH Lim European Conference on Computer Vision, 298-311, 2012 | 66 | 2012 |
| A practical guide to CNNs and Fisher Vectors for image instance retrieval V Chandrasekhar, J Lin, O Morere, H Goh, A Veillard Signal Processing 128, 426-439, 2016 | 57 | 2016 |
| Biasing restricted Boltzmann machines to manipulate latent selectivity and sparsity H Goh, N Thome, M Cord NIPS 2010 Workshop on Deep Learning and Unsupervised Feature Learning, 2010 | 46 | 2010 |
| Deephash: Getting regularization, depth and fine-tuning right J Lin, O Morere, V Chandrasekhar, A Veillard, H Goh arXiv preprint arXiv:1501.04711, 2015 | 34 | 2015 |
| Top-down regularization of deep belief networks H Goh, N Thome, M Cord, JH Lim Advances in Neural Information Processing Systems 26, 1878-1886, 2013 | 31 | 2013 |
| A practical guide to cnns and fisher vectors for image instance retrieval V Chandrasekhar, J Lin, O Morère, H Goh, A Veillard arXiv preprint arXiv:1508.02496, 2015 | 26 | 2015 |
| Understanding the nature of first-person videos: Characterization and classification using low-level features C Tan, H Goh, V Chandrasekhar, L Li, JH Lim Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 24 | 2014 |
| Deephash for image instance retrieval: Getting regularization, depth and fine-tuning right J Lin, O Morere, A Veillard, LY Duan, H Goh, V Chandrasekhar Proceedings of the 2017 ACM on International Conference on Multimedia …, 2017 | 18 | 2017 |
| Fuzzy associative conjuncted maps network H Goh, JH Lim, C Quek IEEE transactions on neural networks 20 (8), 1302-1319, 2009 | 16 | 2009 |
| Compact global descriptors for visual search V Chandrasekhar, J Lin, O Morère, A Veillard, H Goh 2015 Data Compression Conference, 333-342, 2015 | 14 | 2015 |
| Capsules with inverted dot-product attention routing YHH Tsai, N Srivastava, H Goh, R Salakhutdinov arXiv preprint arXiv:2002.04764, 2020 | 13 | 2020 |
| Method and system for maintaining a database of reference images Y Li, JH Lim, H Goh US Patent App. 12/996,494, 2011 | 12 | 2011 |
| Learning invariant color features with sparse topographic restricted Boltzmann machines H Goh, Ł Kuśmierz, JH Lim, N Thome, M Cord 2011 18th IEEE International Conference on Image Processing, 1241-1244, 2011 | 11 | 2011 |
| Co-regularized deep representations for video summarization O Morere, H Goh, A Veillard, V Chandrasekhar, J Lin 2015 IEEE International Conference on Image Processing (ICIP), 3165-3169, 2015 | 10 | 2015 |
| Exact integral images at generic angles for 2D barcode detection TJ Chin, H Goh, NM Tan 2008 19th International Conference on Pattern Recognition, 1-4, 2008 | 8 | 2008 |
| Geometric capsule autoencoders for 3d point clouds N Srivastava, H Goh, R Salakhutdinov arXiv preprint arXiv:1912.03310, 2019 | 7 | 2019 |
| Boosting descriptors condensed from video sequences for place recognition TJ Chin, H Goh, JH Lim 2008 IEEE Computer Society Conference on Computer Vision and Pattern …, 2008 | 7 | 2008 |
| Cascaded classification with optimal candidate selection for effective place recognition Y Li, JH Lim, H Goh 2008 IEEE International Conference on Multimedia and Expo, 1493-1496, 2008 | 7 | 2008 |
| Partially shared neural networks for multiple tasks R Hu, K Garg, H Goh, R Salakhutdinov, N Srivastava, Y Tang US Patent App. 15/828,399, 2018 | 6 | 2018 |
