Mingming Gong
Title
Cited by
Cited by
Year
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
3552018
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
2522018
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
1412016
Multi-Source Domain Adaptation: A Causal View.
K Zhang, M Gong, B Schölkopf
AAAI 1, 3150-3157, 2015
762015
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
642018
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
602014
Large-cone nonnegative matrix factorization
T Liu, M Gong, D Tao
IEEE transactions on neural networks and learning systems 28 (9), 2129-2142, 2016
592016
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
532017
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
502015
Discovering Temporal Causal Relations from Subsampled Data.
M Gong, K Zhang, B Schoelkopf, D Tao, P Geiger
ICML, 1898-1906, 2015
482015
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation
S Zhao, H Fu, M Gong, D Tao
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
382019
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
382018
Correcting the Triplet Selection Bias for Triplet Loss
B Yu, T Liu, M Gong, C Ding, D Tao
Proceedings of the European Conference on Computer Vision (ECCV), 71-87, 2018
292018
Domain generalization via conditional invariant representations
Y Li, M Gong, X Tian, T Liu, D Tao
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
262018
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
242015
Learning the implicit strain reconstruction in ultrasound elastography using privileged information
Z Gao, S Wu, Z Liu, J Luo, H Zhang, M Gong, S Li
Medical image analysis 58, 101534, 2019
232019
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
192017
A method using long digital straight segments for fingerprint recognition
X Jiang, X You, Y Yuan, M Gong
Neurocomputing 77 (1), 28-35, 2012
192012
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
182017
Transfer learning with label noise
X Yu, T Liu, M Gong, K Zhang, K Batmanghelich, D Tao
arXiv preprint arXiv:1707.09724, 2017
182017
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