Special Focus on Deep Learning for Computer Vision
EDITORIAL Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

Special focus on deep learning for computer vision
Bai, Xiang; Pang, Yanwei; Zhang, Guofeng
Sci China Inf Sci, 2020, 63(2): 120100
Cite as: Bai X, Pang Y W, Zhang G F. Special focus on deep learning for computer vision. Sci China Inf Sci, 2020, 63(2): 120100, doi: 10.1007/s11432-020-2766-x

Special Focus on Deep Learning for Computer Vision
RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 8

Progressive rectification network for irregular text recognition
Gao, Yunze; Chen, Yingying; Wang, Jinqiao; Lu, Hanqing
Sci China Inf Sci, 2020, 63(2): 120101
Keywords: irregular text recognition; progressive rectification; iterative refinement
Cite as: Gao Y Z, Chen Y Y, Wang J Q, et al. Progressive rectification network for irregular text recognition. Sci China Inf Sci, 2020, 63(2): 120101, doi: 10.1007/s11432-019-2710-7

Special Focus on Deep Learning for Computer Vision
RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 15

Ordinal distribution regression for gait-based age estimation
Zhu, Haiping; Zhang, Yuheng; Li, Guohao; Zhang, Junping; Shan, Hongming
Sci China Inf Sci, 2020, 63(2): 120102
Keywords: computer vision; deep learning; ordinal distribution regression; global and local features; gait-based age estimation
Cite as: Zhu H P, Zhang Y H, Li G H, et al. Ordinal distribution regression for gait-based age estimation. Sci China Inf Sci, 2020, 63(2): 120102, doi: 10.1007/s11432-019-2733-4

Special Focus on Deep Learning for Computer Vision
RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 23

FACLSTM: ConvLSTM with focused attention for scene text recognition
Wang, Qingqing; Huang, Ye; Jia, Wenjing; He, Xiangjian; Blumenstein, Michael; Lyu, Shujing; Lu, Yue
Sci China Inf Sci, 2020, 63(2): 120103
Keywords: scene text recognition; convolutional lstm; focused attention; spatial correlation; sequential prediction
Cite as: Wang Q Q, Huang Y, Jia W J, et al. FACLSTM: ConvLSTM with focused attention for scene text recognition. Sci China Inf Sci, 2020, 63(2): 120103, doi: 10.1007/s11432-019-2713-1

Special Focus on Deep Learning for Computer Vision
RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 23

CGNet: cross-guidance network for semantic segmentation
Zhang, Zhijie; Pang, Yanwei
Sci China Inf Sci, 2020, 63(2): 120104
Keywords: semantic segmentation; fully convolutional networks; pyramid network; edge detection; saliency detection; cross-guidance
Cite as: Zhang Z J, Pang Y W. CGNet: cross-guidance network for semantic segmentation. Sci China Inf Sci, 2020, 63(2): 120104, doi: 10.1007/s11432-019-2718-7

Special Focus on Deep Learning for Computer Vision
RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 13

SynthText3D: synthesizing scene text images from 3D virtual worlds
Liao, Minghui; Song, Boyu; Long, Shangbang; He, Minghang; Yao, Cong; Bai, Xiang
Sci China Inf Sci, 2020, 63(2): 120105
Keywords: optical character recognition (ocr); synthetic data; scene text detection; 3d; deep learning
Cite as: Liao M H, Song B Y, Long S B, et al. SynthText3D: synthesizing scene text images from 3D virtual worlds. Sci China Inf Sci, 2020, 63(2): 120105, doi: 10.1007/s11432-019-2737-0

Special Focus on Deep Learning for Computer Vision
RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 16

Preserving details in semantics-aware context for scene parsing
Ma, Shuai; Pang, Yanwei; Pan, Jing; Shao, Ling
Sci China Inf Sci, 2020, 63(2): 120106
Keywords: fully convolutional networks; semantic segmentation; cityscapes; semantic-aware context
Cite as: Ma S, Pang Y W, Pan J, et al. Preserving details in semantics-aware context for scene parsing. Sci China Inf Sci, 2020, 63(2): 120106, doi: 10.1007/s11432-019-2738-y

Special Focus on Deep Learning for Computer Vision
LETTER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 3

Discriminative stacked autoencoder for feature representation and classification
Gao, Yiping; Li, Xinyu; Gao, Liang
Sci China Inf Sci, 2020, 63(2): 120111
Keywords: stacked autoencoders; discriminative feature representation; hybrid pretraining; classification; deep learning
Cite as: Gao Y P, Li X Y, Gao L. Discriminative stacked autoencoder for feature representation and classification. Sci China Inf Sci, 2020, 63(2): 120111, doi: 10.1007/s11432-019-2722-3

Special Focus on Deep Learning for Computer Vision
LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 7

Multi-attention based cross-domain beauty product image retrieval
Wang, Zhihui; Liu, Xing; Lin, Jiawen; Yang, Caifei; Li, Haojie
Sci China Inf Sci, 2020, 63(2): 120112
Keywords: beauty product image retrieval; saliency attention mechanism; text attention mechanism; local feature aggregation; multi-attention classification network
Cite as: Wang Z H, Liu X, Lin J W, et al. Multi-attention based cross-domain beauty product image retrieval. Sci China Inf Sci, 2020, 63(2): 120112, doi: 10.1007/s11432-019-2721-0

Special Focus on Deep Learning for Computer Vision
LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 55

MDSSD: multi-scale deconvolutional single shot detector for small objects
Cui, Lisha; Ma, Rui; Lv, Pei; Jiang, Xiaoheng; Gao, Zhimin; Zhou, Bing; Xu, Mingliang
Sci China Inf Sci, 2020, 63(2): 120113
Keywords: object detection; small objects; multi-scale deconvolution; fusion block; real-time
Cite as: Cui L S, Ma R, Lv P, et al. MDSSD: multi-scale deconvolutional single shot detector for small objects. Sci China Inf Sci, 2020, 63(2): 120113, doi: 10.1007/s11432-019-2723-1

Special Focus on Deep Learning for Computer Vision
LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 11

Leveraging 3D blendshape for facial expression recognition using CNN
Wang, Sa; Cheng, Zhengxin; Deng, Xiaoming; Chang, Liang; Duan, Fuqing; Lu, Ke
Sci China Inf Sci, 2020, 63(2): 120114
Keywords: facial expression recognition; convolutional neural network; two-stream network; 3d face blendshape; face representation
Cite as: Wang S, Cheng Z X, Deng X M, et al. Leveraging 3D blendshape for facial expression recognition using CNN. Sci China Inf Sci, 2020, 63(2): 120114, doi: 10.1007/s11432-019-2747-y