Mingming Gong 个人学术档案

引用次数

	总计	2019 年至今
引用	10643	10238
h 指数	42	40
i10 指数	97	93

2900

1450

725

2175

20162017201820192020202120222023202442 94 196 541 1109 1756 2196 2884 1745

开放获取的出版物数量

查看全部

77 篇文章

4 篇文章

可查看的文章

无法查看的文章

根据资助方的强制性开放获取政策

合著作者

Dacheng TaoNanyang Technological University在 ntu.edu.sg 的电子邮件经过验证
Tongliang LiuDirector, Sydney AI Centre, University of Sydney & Mohamed bin Zayed University of AI在 sydney.edu.au 的电子邮件经过验证
Kun ZhangCarnegie Mellon University & Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)在 cmu.edu 的电子邮件经过验证
Kayhan BatmanghelichAssistant Professor, Boston University在 bu.edu 的电子邮件经过验证
Bo HanHKBU / RIKEN在 comp.hkbu.edu.hk 的电子邮件经过验证
Gang NiuRIKEN Center for Advanced Intelligence Project在 riken.jp 的电子邮件经过验证
Chaohui WangLaboratoire d'Informatique Gaspard-Monge | Université Gustave Eiffel - CNRS - Ecole de Ponts在 u-pem.fr 的电子邮件经过验证
Biwei HuangUCSD在 andrew.cmu.edu 的电子邮件经过验证
Clark GlymourCarnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
Xiaobo XiaPh.D. student, The University of Sydney在 uni.sydney.edu.au 的电子邮件经过验证
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETH在 tuebingen.mpg.de 的电子邮件经过验证
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of Tokyo在 k.u-tokyo.ac.jp 的电子邮件经过验证
Yu YaoLecturer in the University of Sydney在 sydney.edu.au 的电子邮件经过验证
Shanshan ZhaoPhD; JD, previously在 uni.sydney.edu.au 的电子邮件经过验证
Nannan WangProfessor, Xidian University在 xidian.edu.cn 的电子邮件经过验证
bo duSchool of Computer Science, Wuhan University在 whu.edu.cn 的电子邮件经过验证
Yanwu XuBoston University在 bu.edu 的电子邮件经过验证
Zhaoqing Wang (Derrick)Ph.D., Sydney AI Centre, University of Sydney在 uni.sydney.edu.au 的电子邮件经过验证
Xiyu YuAmap在 uni.sydney.edu.au 的电子邮件经过验证
Shaoan XieCarnegie Mellon University在 cmu.edu 的电子邮件经过验证

关注

Mingming Gong

University of Melbourne & Mohamed bin Zayed University of Artificial Intelligence

在 unimelb.edu.au 的电子邮件经过验证 - 首页

Causal Inference Machine Learning Computer Vision


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	1852	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	1840	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	729	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	394	2016
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	269	2020
Cris: Clip-driven referring image segmentation Z Wang, Y Lu, Q Li, X Tao, Y Guo, M Gong, T Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	255	2022
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	229	2020
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	225	2020
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	223	2019
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	219	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	213	2018
Multi-source domain adaptation: A causal view K Zhang, M Gong, B Schölkopf Twenty-ninth AAAI conference on artificial intelligence, 2015	213	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	207	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	202	2018
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	201	2019
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	175	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	143	2021
Sample Selection with Uncertainty of Losses for Learning with Noisy Labels X Xia, T Liu, B Han, M Gong, J Yu, G Niu, M Sugiyama arXiv preprint arXiv:2106.00445, 2021	114	2021
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	107	2018
Discovering Temporal Causal Relations from Subsampled Data. M Gong, K Zhang, B Schoelkopf, D Tao, P Geiger ICML, 1898-1906, 2015	97	2015

系统目前无法执行此操作，请稍后再试。

文章 1–20

每年引用数

重复的引用

合并的引用

添加合著者合著作者

上传 PDF

关注此作者

引用次数

合著作者

引用