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
2322018
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
1332018
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
1202016
Multi-source domain adaptation: A causal view
K Zhang, M Gong, B Schölkopf
Twenty-ninth AAAI conference on artificial intelligence, 2015
622015
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
572014
Large-cone nonnegative matrix factorization
T Liu, M Gong, D Tao
IEEE transactions on neural networks and learning systems 28 (9), 2129-2142, 2016
522016
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
482015
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
442017
Discovering Temporal Causal Relations from Subsampled Data.
M Gong, K Zhang, B Schoelkopf, D Tao, P Geiger
ICML, 1898-1906, 2015
422015
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
342018
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
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
222015
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
202018
Domain generalization via conditional invariant representations
Y Li, M Gong, X Tian, T Liu, D Tao
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
192018
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 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
172017
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
162017
Transfer learning with label noise
X Yu, T Liu, M Gong, K Zhang, K Batmanghelich, D Tao
arXiv preprint arXiv:1707.09724, 2017
162017
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
142018
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
132019
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