About me

I am currently a postdoctoral fellow at the University of Texas at Austin, working with Prof. Philipp Krähenbühl and Prof. Atlas Wang. Previously, I was a postdoctoral research associate at Carnegie Mellon University, working with Prof. Alexander G. Hauptmann. I achieved my Ph.D. degree in 2019 from University of Technology Sydney, advised by Prof. Yi Yang .

My research interests include deep learning, and its applications in various computer vision tasks, e.g. visual domain adapation, sementaic segmentation, video analysis, etc.

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Selected Publications

Domain Consensus Clustering for Universal Domain Adaptation
Guangrui Li, Guoliang Kang, Yi Zhu, Yunchao Wei, Yi Yang
Computer Vision and Pattern Recognition(CVPR), 2021
[Code] [Paper]

Contrastive Adaptation Network for Single- and Multi-Source Domain Adaptation
Guoliang Kang, Lu Jiang, Yunchao Wei, Yi Yang, Alexander G. Hauptmann
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
[Code] [Paper]

Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation
Guoliang Kang, Yunchao Wei, Yi Yang, Yueting Zhuang, Alexander G. Hauptmann
Neural Information Processing Systems (NeurIPS), 2020 (oral)
[Code] [Paper]

Content-Consistent Matching for Domain Adaptive Semantic Segmentation
Guangrui Li*, Guoliang Kang*, Wu Liu, Yunchao Wei, Yi Yang (* equal contribution)
European Conference on Computer Vision (ECCV), 2020
[Code] [Paper]

Random Erasing Data Augmentation
Zhun Zhong, Liang Zheng, Guoliang Kang, Shaozi Li, Yi Yang
Association for the Advance of Artificial Intelligence (AAAI), 2020
[Code] [Paper]

Attract or Distract: Exploit the Margin of Open Set.
Qianyu Feng, Guoliang Kang, Hehe Fan, Yi Yang
International Conference on Computer Vision (ICCV), 2019
[Code] [Paper]

Asymptotic soft filter pruning for deep convolutional neural networks.
Yang He, Xuanyi Dong, Guoliang Kang, Yi Yang
IEEE transactions on cybernetics (TCYB), 2018
[Code] [Paper]

Deep Adversarial Attention Alignment forUnsupervised Domain Adaptation: the Benefit of Target Expectation Maximization.
Guoliang Kang, Liang Zheng, Yan Yan, Yi Yang
European Conference on Computer Vision (ECCV), 2018
[Paper]

Self-produced guidancefor weakly-supervised object localization.
Xiaolin Zhang, Yunchao Wei, Guoliang Kang, Yi Yang
European Conference on Computer Vision (ECCV), 2018
[Code] [Paper]

Soft filter pruning for accelerating deep convolutional neural networks.
Yang He, Guoliang Kang, Xuanyi Dong, Yi Yang
International Joint Conference on Artificial Intelligence (IJCAI), 2018
[Code] [Paper]

Shakeout: A New Approach to Regularized Deep Neural Network Training.
Guoliang Kang, Jun Li, Dacheng Tao
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017
[Code] [Paper]

Selected Awards

  • TRECVID ActEV (Activities in Extended Videos) challenge 2019, 1st place.
  • CVPR ActivityNet 2020 Workshop, ActEV SDL task, 2nd place.
  • Academic Services

    Serve as a reviewer for multiple journals (TPAMI, TIP, IJCV, ML, TCSVT, PR, etc.) and conferences (CVPR, ICCV, NeurIPS, ICML, etc.)