| Deep Ordinal Regression Network for Monocular Depth Estimation H Fu, M Gong, C Wang, K Batmanghelich, D Tao Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 101 | 2018 |
| Domain Adaptation with Conditional Transferable Components M Gong, K Zhang, T Liu, D Tao, C Glymour, B Schölkopf Proceedings of The 33rd International Conference on Machine Learning, 2839-2848, 2016 | 94 | 2016 |
| Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 63 | 2018 |
| Local metric learning for exemplar-based object detection X You, Q Li, D Tao, W Ou, M Gong IEEE Transactions on Circuits and Systems for Video Technology 24 (8), 1265-1276, 2014 | 52 | 2014 |
| Multi-source domain adaptation: A causal view K Zhang, M Gong, B Schölkopf Twenty-ninth AAAI conference on artificial intelligence, 2015 | 49 | 2015 |
| Large-cone nonnegative matrix factorization T Liu, M Gong, D Tao IEEE transactions on neural networks and learning systems 28 (9), 2129-2142, 2016 | 47 | 2016 |
| Causal inference by identification of vector autoregressive processes with hidden components P Geiger, K Zhang, B Schoelkopf, M Gong, D Janzing International Conference on Machine Learning, 1917-1925, 2015 | 39 | 2015 |
| Discovering Temporal Causal Relations from Subsampled Data. M Gong, K Zhang, B Schoelkopf, D Tao, P Geiger ICML, 1898-1906, 2015 | 36 | 2015 |
| A coarse-fine network for keypoint localization S Huang, M Gong, D Tao Proceedings of the IEEE International Conference on Computer Vision, 3028-3037, 2017 | 21 | 2017 |
| DERF: Distinctive Efficient Robust Features From the Biological Modeling of the P Ganglion Cells D Weng, Y Wang, M Gong, D Tao, H Wei, D Huang IEEE Transactions on Image Processing 24 (8), 2287-2302, 2015 | 18 | 2015 |
| A method using long digital straight segments for fingerprint recognition X Jiang, X You, Y Yuan, M Gong Neurocomputing 77 (1), 28-35, 2012 | 17 | 2012 |
| Domain generalization via conditional invariant representations Y Li, M Gong, X Tian, T Liu, D Tao Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 15 | 2018 |
| Deep Domain Generalization via Conditional Invariant Adversarial Networks Y Li, X Tian, M Gong, Y Liu, T Liu, K Zhang, D Tao Proceedings of the European Conference on Computer Vision (ECCV), 624-639, 2018 | 15 | 2018 |
| Causal discovery from temporally aggregated time series M Gong, K Zhang, B Schölkopf, C Glymour, D Tao Uncertainty in artificial intelligence: proceedings of the... conference …, 2017 | 14 | 2017 |
| Causal Discovery in the Presence of Measurement Error: Identifiability Conditions K Zhang, M Gong, J Ramsey, K Batmanghelich, P Spirtes, C Glymour arXiv preprint arXiv:1706.03768, 2017 | 14 | 2017 |
| Learning with biased complementary labels X Yu, T Liu, M Gong, D Tao Proceedings of the European Conference on Computer Vision (ECCV), 68-83, 2018 | 13 | 2018 |
| Spatial pooling for measuring color printing quality attributes M Gong, M Pedersen Journal of Visual Communication and Image Representation 23 (5), 685-696, 2012 | 11 | 2012 |
| A total variation based color image quality metric with perceptual contrast filtering M Pedersen, G Simone, M Gong, I Farup International conference on Pervasive Computing, Signal Processing and …, 2011 | 10 | 2011 |
| A Compromise Principle in Deep Monocular Depth Estimation H Fu, M Gong, C Wang, D Tao arXiv preprint arXiv:1708.08267, 2017 | 9 | 2017 |
| An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption X Yu, T Liu, M Gong, K Batmanghelich, D Tao Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 8 | 2018 |
Dacheng TaoThe University of SydneyVerified email at sydney.edu.au