Vol. 62, No. 12, 2019 Cover Contents

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

Special focus on deep learning for computer vision
Pang, Yanwei; Bai, Xiang; Zhang, Guofeng
Sci China Inf Sci, 2019, 62(12): 220100
Cite as: Pang Y W, Bai X, Zhang G F. Special focus on deep learning for computer vision. Sci China Inf Sci, 2019, 62(12): 220100, doi: 10.1007/s11432-019-2701-8

Special Focus on Deep Learning for Computer Vision
RESEARCH PAPER Website SpringerLink Google Scholar Cited in SCI: 4

Feature context learning for human parsing
Huang, Tengteng; Xu, Yongchao; Bai, Song; Wang, Yongpan; Bai, Xiang
Sci China Inf Sci, 2019, 62(12): 220101
Keywords: human parsing; context learning; fully convolutional networks; graph convolutional network; semantic segmentation
Cite as: Huang T T, Xu Y C, Bai S, et al. Feature context learning for human parsing. Sci China Inf Sci, 2019, 62(12): 220101, doi: 10.1007/s11432-019-9935-6

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

Uncertainty-optimized deep learning model for small-scale person re-identification
Zhao, Cairong; Chen, Kang; Zang, Di; Zhang, Zhaoxiang; Zuo, Wangmeng; Miao, Duoqian
Sci China Inf Sci, 2019, 62(12): 220102
Keywords: person re-identification; uncertainty analysis; deep learning
Cite as: Zhao C R, Chen K, Zang D, et al. Uncertainty-optimized deep learning model for small-scale person re-identification. Sci China Inf Sci, 2019, 62(12): 220102, doi: 10.1007/s11432-019-2675-3

Special Focus on Deep Learning for Computer Vision
RESEARCH PAPER Website SpringerLink Google Scholar Cited in SCI: 7

Irregular scene text detection via attention guided border labeling
Chen, Jie; Lian, Zhouhui; Wang, Yizhi; Tang, Yingmin; Xiao, Jianguo
Sci China Inf Sci, 2019, 62(12): 220103
Keywords: scene text detection; weighted border; attention mechanisms; curved text; semantic segmentation
Cite as: Chen J, Lian Z H, Wang Y Z, et al. Irregular scene text detection via attention guided border labeling. Sci China Inf Sci, 2019, 62(12): 220103, doi: 10.1007/s11432-019-2673-8

Special Focus on Deep Learning for Computer Vision
LETTER Website SpringerLink Google Scholar Supplementary Cited in SCI: 3

ARPNET: attention region proposal network for 3D object detection
Ye, Yangyang; Zhang, Chi; Hao, Xiaoli
Sci China Inf Sci, 2019, 62(12): 220104
Keywords: Attention; Regional Proposal Network; shape-specific proposals; LiDAR-based; 3D object detection
Cite as: Ye Y Y, Zhang C, Hao X L. ARPNET: attention region proposal network for 3D object detection. Sci China Inf Sci, 2019, 62(12): 220104, doi: 10.1007/s11432-019-2636-x

Vol. 63, No. 2, 2020 Cover Contents

Special Focus on Deep Learning for Computer Vision
EDITORIAL Website SpringerLink Google Scholar Cited in SCI: 0

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 Website SpringerLink Google Scholar Cited in SCI: 0

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 Website SpringerLink Google Scholar Cited in SCI: 3

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 Website SpringerLink Google Scholar Cited in SCI: 6

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 Website SpringerLink Google Scholar Cited in SCI: 8

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 Website SpringerLink Google Scholar Cited in SCI: 4

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 Website SpringerLink Google Scholar Cited in SCI: 5

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 Website SpringerLink Google Scholar Cited in SCI: 1

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 Website SpringerLink Google Scholar Supplementary Cited in SCI: 1

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 Website SpringerLink Google Scholar Supplementary Cited in SCI: 10

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 Website SpringerLink Google Scholar Supplementary Cited in SCI: 1

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

Vol. 64, No. 2, 2021 Cover Contents

Special Focus on Deep Learning for Computer Vision
RESEARCH PAPER Website SpringerLink Google Scholar Cited in SCI: 4

Triple discriminator generative adversarial network for zero-shot image classification
Ji, Zhong; Yan, Jiangtao; Wang, Qiang; Pang, Yanwei; Li, Xuelong
Sci China Inf Sci, 2021, 64(2): 120101
Keywords: zero-shot classification; generative adversarial nets; text reconstruction; Sharma-Mittal entropy
Cite as: Ji Z, Yan J T, Wang Q, et al. Triple discriminator generative adversarial network for zero-shot image classification. Sci China Inf Sci, 2021, 64(2): 120101, doi: 10.1007/s11432-020-3032-8

Special Focus on Deep Learning for Computer Vision
RESEARCH PAPER Website SpringerLink Google Scholar Cited in SCI: 0

Learning efficient text-to-image synthesis via interstage cross-sample similarity distillation
Mao, Fengling; Ma, Bingpeng; Chang, Hong; Shan, Shiguang; Chen, Xilin
Sci China Inf Sci, 2021, 64(2): 120102
Keywords: generative adversarial network (GAN); text-to-image synthesis; knowledge distillation
Cite as: Mao F L, Ma B P, Chang H, et al. Learning efficient text-to-image synthesis via interstage cross-sample similarity distillation. Sci China Inf Sci, 2021, 64(2): 120102, doi: 10.1007/s11432-020-2900-x

Special Focus on Deep Learning for Computer Vision
RESEARCH PAPER Website SpringerLink Google Scholar Cited in SCI: 3

PSC-Net: learning part spatial co-occurrence for occluded pedestrian detection
Xie, Jin; Pang, Yanwei; Cholakkal, Hisham; Anwer, Rao; Khan, Fahad; Shao, Ling
Sci China Inf Sci, 2021, 64(2): 120103
Keywords: pedestrian detection; graph convolutional network; occlusion; object detection; feature extraction
Cite as: Xie J, Pang Y W, Cholakkal H, et al. PSC-Net: learning part spatial co-occurrence for occluded pedestrian detection. Sci China Inf Sci, 2021, 64(2): 120103, doi: 10.1007/s11432-020-2969-8

Special Focus on Deep Learning for Computer Vision
RESEARCH PAPER Website SpringerLink Google Scholar Cited in SCI: 5

Task-wise attention guided part complementary learning for few-shot image classification
Cheng, Gong; Li, Ruimin; Lang, Chunbo; Han, Junwei
Sci China Inf Sci, 2021, 64(2): 120104
Keywords: few-shot learning; meta-learning; task-wise attention; part complementary learning
Cite as: Cheng G, Li R M, Lang C B, et al. Task-wise attention guided part complementary learning for few-shot image classification. Sci China Inf Sci, 2021, 64(2): 120104, doi: 10.1007/s11432-020-3156-7

Special Focus on Deep Learning for Computer Vision
LETTER Website SpringerLink Google Scholar Cited in SCI: 1

Learning generalizable deep feature using triplet-batch-center loss for person re-identification
Hu, Bin; Xu, Jiwei; Wang, Xinggang
Sci China Inf Sci, 2021, 64(2): 120111
Keywords: person re-identification; triplet loss; triplet-batch-center loss; metric learning; deep learning
Cite as: Hu B, Xu J W, Wang X G. Learning generalizable deep feature using triplet-batch-center loss for person re-identification. Sci China Inf Sci, 2021, 64(2): 120111, doi: 10.1007/s11432-019-2943-6