Sheng Guo
Senior Researcher
Malong Technologies
Email : guosheng1001 [at]

About Me (CV)

I am a PhD student in the Multimedia Research Center at Shenzhen Institute of Advanced Technology under the supervision of Prof. QIAO Yu and Prof. HUANG Weilin and I am fortunate to work closely with Dr. WANG Limin.

I got my M.S. degree in the Changsha University Of Science and Technology,supervised by Prof. Lanzhe Liu and Prof. Chuangxia Huang.


  • 2016-11-03: One TIP paper has been accepted.
  • 2016-10-05: We release the code and models for Places2 scene recognition challenge [ arXive ] [ Code ].
  • 2016-06-18: We are the winner for Scene Classification, on Large-scale Scene Understanding Challenge at CVPR 2016 . [Result] [Slide]
  • 2015-12-10: Our SIAT_MMLAB team got the 2nd place for Scene Image Classification at ILSVRC (ImageNet) 2015 . [Result]
  • 2015-10-15: One ICCV workshop paper has been accepted.
  • 2015-09-19: We are the 3rd winner for cultural event recognition, on ChaLearn Looking at People Challenge at ICCV 2015.
  • 2015-08-07: We release the Places205-VGGNet models [Link] .
  • 2015-06-05: We are the 2rd on scene classification, on Large-scale Scene Understanding at CVPR 2015 [Result].


Wavelet Integrated CNNs for Noise-Robust Image Classification
Qiufu Li, Linlin Shen, Sheng Guo, Zhihui Lai
IEEE Conference on Computer Vision and Pattern Recognition(CVPR),2020.
[ Paper ] [ Code ]
Knowledge Integration Networks for Action Recognition
Shiwen Zhang, Sheng Guo, Limin Wang, Weilin Huang, Matthew R Scott
The 34th AAAI Conference on Artificial Intelligence (AAAI),2020.
[ Paper ]
V4D: 4D Convolutional Neural Networks for Video-level Representation Learning
Shiwen Zhang, Sheng Guo, Weilin Huang, Matthew R Scott, Limin Wang
The 8th International Conference on Learning Representations (ICLR),2020.
[ Paper ] [ Code ]
Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation
Weifeng Ge, Sheng Guo, Weilin Huang, Matthew R Scott
IEEE International Conference on Computer Vision (ICCV),2019 .
[ Paper ]
The iMaterialist Fashion Attribute Dataset
Sheng Guo, Weilin Huang, Xiao Zhang, Prasanna Srikhanta, Yin Cui, Yuan Li, Matthew R Scott, Hartwig Adam, Serge Belongie
IEEE International Conference on Computer Vision Workshops (ICCVW),2019.
[ Paper ]
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images
Sheng Guo, Weilin Huang, Haozhi Zhang, Chenfan Zhuang, Dengke Dong, Matthew R Scott, Dinglong Huang
The European Conference on Computer Vision (ECCV),2018.
[ Paper ]
Locally-Supervised Deep Hybrid Model for Scene Recognition
S. Guo, W. Huang, L. Wang, Y. Qiao
IEEE Transaction on image processing , (TIP),2017.
[ Paper ]
Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs
L. Wang, S. Guo, W. Huang, Y. Xiong and Y. Qiao
IEEE Transaction on image processing , (TIP),2017.
[ Paper ] [ Code ]
Places205-VGGNet Models for Scene Recognition
L. Wang, S. Guo, W. Huang, and Y. Qiao
ArXiv 1508.01667, 2015.
[ Paper ] [ Project Page ]
Obtain the state-of-the-art performance on the datasets of Places205, SUN397, and MIT67
Local Color Contrastive Descriptor for Image Classification
S. Guo, W. Huang, and Y. Qiao
ArXiv:1508.00307, 2015.
[ Paper ]
Submitted to IEEE Transactions on Multimedia.
Better Exploiting OS-CNNs for Better Event Recognition in Images
L. Wang, Z. Wang, S. Guo, and Y. Qiao
ChaLearn Looking at People (LAP) workshop, ICCV, 2015.
[ Paper ]
Obtain 84.7% mAP and rank 3rd on the track of cultural event recognition.
F-divergence based Local Contrastive Descriptor for Image Classification
S. Guo, W. Huang, C Xu and Y. Qiao
IEEE International Conference on Information Science and Technology , (ICIST) , 2014.
[ Paper ]
C. Huang, S. Guo, and L. Liu
Journal of Mathematical Inequalities, Volume 8, Number 3 (2014), 453–464.
[ Paper ]



  • IEEE ICIST Best Paper Award Finalists, 2014
  • National Scholarship for Master Students, 2013
  • Excellent Postgraduate, 2012/2013
  • Excellent Student Cadres, 2008/2009


  • Weilin Huang(Oxford) , Limin Wang(ETH), Zhang Bowen(Tongji University) , Wang Zhe(UCI), Yandong Wen (CMU),Tong He (WHU), Pan He (UFL) ,Kaipeng Zhang (NTU Taiwan)
  • Last Updated on 7th Nov, 2015

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