Mingming Gong

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Dacheng TaoThe University of SydneyVerified email at sydney.edu.au
Tongliang LiuDirector, Sydney AI Centre, University of Sydney & Mohamed bin Zayed University of AIVerified email at sydney.edu.au
Kun ZhangCarnegie Mellon University & Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)Verified email at cmu.edu
Kayhan BatmanghelichAssistant Professor, Boston UniversityVerified email at bu.edu
Bo HanHKBU / RIKENVerified email at comp.hkbu.edu.hk
Chaohui WangLaboratoire d'Informatique Gaspard-Monge | Université Gustave Eiffel - CNRS - Ecole de PontsVerified email at u-pem.fr
Gang NiuRIKEN Center for Advanced Intelligence ProjectVerified email at postman.riken.jp
Clark GlymourCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH ZürichVerified email at tuebingen.mpg.de
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoVerified email at k.u-tokyo.ac.jp
Xiaobo XiaPh.D. student, The University of SydneyVerified email at uni.sydney.edu.au
Shanshan ZhaoPhD, JD.comVerified email at jd.com
Nannan WangProfessor, Xidian UniversityVerified email at xidian.edu.cn
Biwei HuangUCSDVerified email at andrew.cmu.edu
Yu Yaothe University of SydneyVerified email at uni.sydney.edu.au
Xiyu YuBaiduVerified email at uni.sydney.edu.au
Petar StojanovBroad Institute of MIT and HarvardVerified email at broadinstitute.org
bo duSchool of Computer Science, Wuhan UniversityVerified email at whu.edu.cn
Xinge YouProfessor of School of Electronics Information and Communications, Huazhong University of ScienceVerified email at mail.hust.edu.cn
Jiankang DengImperial College LondonVerified email at imperial.ac.uk

Mingming Gong

University of Melbourne

Verified email at unimelb.edu.au - Homepage

Causal Inference Machine Learning Computer Vision


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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	1366	2018
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	1278	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	458	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	314	2016
Multi-source domain adaptation: A causal view K Zhang, M Gong, B Schölkopf Twenty-ninth AAAI conference on artificial intelligence, 2015	169	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	167	2017
Part-dependent label noise: Towards instance-dependent label noise X Xia, T Liu, B Han, N Wang, M Gong, H Liu, G Niu, D Tao, M Sugiyama Advances in Neural Information Processing Systems 33, 7597-7610, 2020	142	2020
Geometry-aware symmetric domain adaptation for monocular depth estimation S Zhao, H Fu, M Gong, D Tao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	142	2019
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	140	2018
Geometry-consistent generative adversarial networks for one-sided unsupervised domain mapping H Fu, M Gong, C Wang, K Batmanghelich, K Zhang, D Tao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	133	2019
Sub-center arcface: Boosting face recognition by large-scale noisy web faces J Deng, J Guo, T Liu, M Gong, S Zafeiriou European Conference on Computer Vision, 741-757, 2020	127	2020
Domain generalization via conditional invariant representations Y Li, M Gong, X Tian, T Liu, D Tao Thirty-Second AAAI Conference on Artificial Intelligence, 2018	124	2018
Domain generalization via entropy regularization S Zhao, M Gong, T Liu, H Fu, D Tao Advances in Neural Information Processing Systems 33, 16096-16107, 2020	123	2020
Dual t: Reducing estimation error for transition matrix in label-noise learning Y Yao, T Liu, B Han, M Gong, J Deng, G Niu, M Sugiyama Advances in Neural Information Processing Systems 33, 2020	122	2020
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	80	2018
Discovering Temporal Causal Relations from Subsampled Data. M Gong, K Zhang, B Schoelkopf, D Tao, P Geiger ICML, 1898-1906, 2015	78	2015
3d-future: 3d furniture shape with texture H Fu, R Jia, L Gao, M Gong, B Zhao, S Maybank, D Tao International Journal of Computer Vision, 1-25, 2021	71	2021
Adaptive context-aware multi-modal network for depth completion S Zhao, M Gong, H Fu, D Tao IEEE Transactions on Image Processing 30, 5264-5276, 2021	71	2021
Large-cone nonnegative matrix factorization T Liu, M Gong, D Tao IEEE transactions on neural networks and learning systems 28 (9), 2129-2142, 2016	68	2016
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	68	2014

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