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Sheng Guo
Sheng Guo
Ant Group
Verified email at alibaba-inc.com
Title
Cited by
Cited by
Year
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
arXiv preprint arXiv:1811.02629, 2018
8582018
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images
S Guo, W Huang, H Zhang, C Zhuang, D Dong, MR Scott, D Huang
Proceedings of the European Conference on Computer Vision (ECCV), 139-154, 2018
1932018
Places205-vggnet models for scene recognition
L Wang, S Guo, W Huang, Y Qiao
arXiv preprint arXiv:1508.01667, 2015
1452015
Knowledge guided disambiguation for large-scale scene classification with multi-resolution CNNs
L Wang, S Guo, W Huang, Y Xiong, Y Qiao
IEEE Transactions on Image Processing 26 (4), 2055-2068, 2017
1272017
Locally supervised deep hybrid model for scene recognition
S Guo, W Huang, L Wang, Y Qiao
IEEE transactions on image processing 26 (2), 808-820, 2016
762016
Wavelet Integrated CNNs for Noise-Robust Image Classification
Q Li, L Shen, S Guo, Z Lai
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
472020
V4D: 4D Convolutional Neural Networks for Video-level Representation Learning
S Zhang, S Guo, W Huang, MR Scott, L Wang
International conference on learning representations (ICLR), 2020
392020
The iMaterialist Fashion Attribute Dataset
S Guo, W Huang, X Zhang, P Srikhanta, Y Cui, Y Li, MR Scott, H Adam, ...
IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2019
372019
Boundedness on Morrey space for Toeplitz type operator associated to singular integral operator with variable Calderón–Zygmund kernel
C Huang, S Guo, L Liu
Journal of Mathematical Inequalities 8 (3 (2014)), 453–464, 2014
372014
Brain SegNet: 3D Local Refinement Network for Brain Lesion Segmentation
X Hu, W Luo, J Hu, S Guo, W Huang, MR Scott, R Wiest, M Dahlweid, ...
BMC Medical Imaging 20, 2020
25*2020
Label-penet: Sequential label propagation and enhancement networks for weakly supervised instance segmentation
W Ge, S Guo, W Huang, MR Scott
IEEE/CVF International Conference on Computer Vision (ICCV), 3345-3354, 2019
242019
Better exploiting os-cnns for better event recognition in images
L Wang, Z Wang, S Guo, Y Qiao
Proceedings of the IEEE International Conference on Computer Vision …, 2015
232015
Marine Animal Detection and Recognition with Advanced Deep Learning Models
P Zhuang, L Xing, Y Liu, S Guo, Y Qiao
192017
Knowledge Integration Networks for Action Recognition
S Zhang, S Guo, L Wang, W Huang, MR Scott
AAAI Conference on Artificial Intelligence (AAAI), 2020
122020
Improving scale invariant feature transform with local color contrastive descriptor for image classification
S Guo, W Huang, Y Qiao
Journal of Electronic Imaging 26 (1), 013015-013015, 2017
12*2017
Weakly Supervised Image Segmentation Via Curriculum Learning
W Ge, S Guo, W Huang, MR Scott
US Patent App. 16/525,309, 2021
92021
Decoupling category-wise independence and relevance with self-attention for multi-label image classification
L Liu, S Guo, W Huang, MR Scott
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2019
72019
Representation Sharing for Fast Object Detector Search and Beyond
Y Zhong, Z Deng, S Guo, MR Scott, W Huang
Proceedings of the European Conference on Computer Vision (ECCV), 2020
62020
WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification
Q Li, L Shen, S Guo, Z Lai
IEEE Transactions on Image Processing 30, 7074-7089, 2021
22021
3d segmentation network and 3d refinement module
X Hu, W Huang, S Guo, MR Scott
US Patent App. 16/693,245, 2020
22020
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