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Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization


Oct 04, 2021
Junkun Yuan, Xu Ma, Kun Kuang, Ruoxuan Xiong, Mingming Gong, Lanfen Lin


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Unaligned Image-to-Image Translation by Learning to Reweight


Sep 24, 2021
Shaoan Xie, Mingming Gong, Yanwu Xu, Kun Zhang

* ICCV2021 

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Instance-dependent Label-noise Learning under a Structural Causal Model


Sep 12, 2021
Yu Yao, Tongliang Liu, Mingming Gong, Bo Han, Gang Niu, Kun Zhang


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Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervision


Aug 28, 2021
Yanwu Xu, Mingming Gong, Shaoan Xie, Kayhan Batmanghelich

* IJCAI Workshop on Weakly Supervised Representation Learning, 2021 

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Uncertainty-aware Clustering for Unsupervised Domain Adaptive Object Re-identification


Aug 22, 2021
Pengfei Wang, Changxing Ding, Wentao Tan, Mingming Gong, Kui Jia, Dacheng Tao


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Exploring Set Similarity for Dense Self-supervised Representation Learning


Jul 19, 2021
Zhaoqing Wang, Qiang Li, Guoxin Zhang, Pengfei Wan, Wen Zheng, Nannan Wang, Mingming Gong, Tongliang Liu

* 14 pages, 9 figures 

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Kernel Mean Estimation by Marginalized Corrupted Distributions


Jul 10, 2021
Xiaobo Xia, Shuo Shan, Mingming Gong, Nannan Wang, Fei Gao, Haikun Wei, Tongliang Liu


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Adversarial Robustness through the Lens of Causality


Jun 11, 2021
Yonggang Zhang, Mingming Gong, Tongliang Liu, Gang Niu, Xinmei Tian, Bo Han, Bernhard Schölkopf, Kun Zhang


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Instance Correction for Learning with Open-set Noisy Labels


Jun 01, 2021
Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Jun Yu, Gang Niu, Masashi Sugiyama


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Sample Selection with Uncertainty of Losses for Learning with Noisy Labels


Jun 01, 2021
Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Jun Yu, Gang Niu, Masashi Sugiyama


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Learning with Group Noise


Mar 17, 2021
Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han


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Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning


Oct 27, 2020
Huan Fu, Shunming Li, Rongfei Jia, Mingming Gong, Binqiang Zhao, Dacheng Tao

* Accepted to NeurlPS 2020 

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Deep Learning is Singular, and That's Good


Oct 22, 2020
Daniel Murfet, Susan Wei, Mingming Gong, Hui Li, Jesse Gell-Redman, Thomas Quella


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3D-FUTURE: 3D Furniture shape with TextURE


Sep 21, 2020
Huan Fu, Rongfei Jia, Lin Gao, Mingming Gong, Binqiang Zhao, Steve Maybank, Dacheng Tao

* Project Page: https://tianchi.aliyun.com/specials/promotion/alibaba-3d-future 

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Short-Term and Long-Term Context Aggregation Network for Video Inpainting


Sep 12, 2020
Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, Ramamohanarao Kotagiri

* Accepted by ECCV 2020 as a spotlight paper 

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Adaptive Context-Aware Multi-Modal Network for Depth Completion


Aug 25, 2020
Shanshan Zhao, Mingming Gong, Huan Fu, Dacheng Tao


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Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN


Aug 05, 2020
Li Sun, Junxiang Chen, Yanwu Xu, Mingming Gong, Ke Yu, Kayhan Batmanghelich

* 10 pages, 9 figures. Under review 

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Parts-dependent Label Noise: Towards Instance-dependent Label Noise


Jun 14, 2020
Xiaobo Xia, Tongliang Liu, Bo Han, Nannan Wang, Mingming Gong, Haifeng Liu, Gang Niu, Dacheng Tao, Masashi Sugiyama


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Class2Simi: A New Perspective on Learning with Label Noise


Jun 14, 2020
Songhua Wu, Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Nannan Wang, Haifeng Liu, Gang Niu


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Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning


Jun 14, 2020
Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Jiankang Deng, Gang Niu, Masashi Sugiyama


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Multi-Class Classification from Noisy-Similarity-Labeled Data


Feb 16, 2020
Songhua Wu, Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Nannan Wang, Haifeng Liu, Gang Niu


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Domain Adaptation As a Problem of Inference on Graphical Models


Feb 14, 2020
Kun Zhang, Mingming Gong, Petar Stojanov, Biwei Huang, Clark Glymour

* 17 pages; 6 figures 

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Towards Mixture Proportion Estimation without Irreducibility


Feb 10, 2020
Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Gang Niu, Masashi Sugiyama, Dacheng Tao


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Likelihood-Free Overcomplete ICA and Applications in Causal Discovery


Sep 05, 2019
Chenwei Ding, Mingming Gong, Kun Zhang, Dacheng Tao

* 10 pages, 3 figures. Accepted by NeurIPS 2019 as spotlight 

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Twin Auxiliary Classifiers GAN


Jul 30, 2019
Mingming Gong, Yanwu Xu, Chunyuan Li, Kun Zhang, Kayhan Batmanghelich


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Learning Depth from Monocular Videos Using Synthetic Data: A Temporally-Consistent Domain Adaptation Approach


Jul 16, 2019
Yipeng Mou, Mingming Gong, Huan Fu, Kayhan Batmanghelich, Kun Zhang, Dacheng Tao


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