Special Focus on Deep Learning for Computer Vision - SCIENCE CHINA Information Sciences

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

Onfocus detection: identifying individual-camera eye contact from unconstrained images
Zhang, Dingwen; Wang, Bo; Wang, Gerong; Zhang, Qiang; Zhang, Jiajia; Han, Jungong; You, Zheng
Sci China Inf Sci, 2022, 65(6): 160101

Keywords: onfocus detection; deep neural network; capsule routing; computer vision; deep learning

Cite as: Zhang D W, Wang B, Wang G R, et al. Onfocus detection: identifying individual-camera eye contact from unconstrained images. Sci China Inf Sci, 2022, 65(6): 160101, doi: 10.1007/s11432-020-3181-9

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

HAPNet: a head-aware pedestrian detection network associated with the affinity field
Ding, Jiali; Liu, Tie; Zhao, Yun; Yuan, Zejian; Shang, Yuanyuan
Sci China Inf Sci, 2022, 65(6): 160102

Keywords: pedestrian detection; head detection; head-aware pedestrian network; affinity module; occlusion

Cite as: Ding J L, Liu T, Zhao Y, et al. HAPNet: a head-aware pedestrian detection network associated with the affinity field. Sci China Inf Sci, 2022, 65(6): 160102, doi: 10.1007/s11432-021-3300-2

Special Focus on Deep Learning for Computer Vision
Highly Cited Paper RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 44

Progressive learning with multi-scale attention network for cross-domain vehicle re-identification
Wang, Yang; Peng, Jinjia; Wang, Huibing; Wang, Meng
Sci China Inf Sci, 2022, 65(6): 160103

Keywords: data adaptation module; weighted label smoothing loss; multi-scale attention network; vehicle re-identification

Cite as: Wang Y, Peng J J, Wang H B, et al. Progressive learning with multi-scale attention network for cross-domain vehicle re-identification. Sci China Inf Sci, 2022, 65(6): 160103, doi: 10.1007/s11432-021-3383-y

Special Focus on Deep Learning for Computer Vision
Highly Cited Paper RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 63

TransCrowd: weakly-supervised crowd counting with transformers
Liang, Dingkang; Chen, Xiwu; Xu, Wei; Zhou, Yu; Bai, Xiang
Sci China Inf Sci, 2022, 65(6): 160104

Keywords: crowd counting; visual transformer; weakly supervised; crowd analysis; transformer

Cite as: Liang D K, Chen X W, Xu W, et al. TransCrowd: weakly-supervised crowd counting with transformers. Sci China Inf Sci, 2022, 65(6): 160104, doi: 10.1007/s11432-021-3445-y

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

Prototype-based classifier learning for long-tailed visual recognition
Wei, Xiu-Shen; Xu, Shu-Lin; Chen, Hao; Xiao, Liang; Peng, Yuxin
Sci China Inf Sci, 2022, 65(6): 160105

Keywords: long-tailed distribution; categorical prototype; classifier generation; classifier calibration; class imbalance

Cite as: Wei X-S, Xu S-L, Chen H, et al. Prototype-based classifier learning for long-tailed visual recognition. Sci China Inf Sci, 2022, 65(6): 160105, doi: 10.1007/s11432-021-3489-1

Special Focus on Deep Learning for Computer Vision
NEWS & VIEWS Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

Comprehensive benchmark datasets for Amharic scene text detection and recognition
DIKUBAB, Wondimu; LIANG, Dingkang; LIAO, Minghui; BAI, Xiang
Sci China Inf Sci, 2022, 65(6): 160106

Keywords: Amharic script; scene text; text detection; text recognition; Amharic text

Cite as: Dikubab W, Liang D K, Liao M H, et al. Comprehensive benchmark datasets for Amharic scene text detection and recognition. Sci China Inf Sci, 2022, 65(6): 160106, doi: 10.1007/s11432-021-3447-9

Special Focus on Deep Learning for Computer Vision
LETTER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 34

RLLNet: a lightweight remaking learning network for saliency redetection on RGB-D images
Zhou, Wujie; Liu, Chang; Lei, Jingsheng; Yu, Lu
Sci China Inf Sci, 2022, 65(6): 160107

Keywords: deep learning; rgb-d image; saliency detection; remaking learning; lightweight network

Cite as: Zhou W J, Liu C, Lei J S, et al. RLLNet: a lightweight remaking learning network for saliency redetection on RGB-D images. Sci China Inf Sci, 2022, 65(6): 160107, doi: 10.1007/s11432-020-3337-9

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

Human-object interaction detection via interactive visual-semantic graph learning
Wu, Tongtong; Duan, Fuqing; Chang, Liang; Lu, Ke
Sci China Inf Sci, 2022, 65(6): 160108

Keywords: human-object interaction; context modeling; graph learning; interactive graph; visual-semantic graph

Cite as: Wu T T, Duan F Q, Chang L, et al. Human-object interaction detection via interactive visual-semantic graph learning. Sci China Inf Sci, 2022, 65(6): 160108, doi: 10.1007/s11432-021-3427-2

Special Focus on Deep Learning for Computer Vision
LETTER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

Few-shot font style transfer with multiple style encoders
Zhang, Kejun; Zhang, Rui; Wu, Yonglin; Li, Yifei; Ling, Yonggen; Wang, Bolin; Sun, Lingyun; Li, Yingming
Sci China Inf Sci, 2022, 65(6): 160109

Keywords: font generation; image-to-image translation; generative adversarial network; multi-task learning; font fusion; style transfer

Cite as: Zhang K J, Zhang R, Wu Y L, et al. Few-shot font style transfer with multiple style encoders. Sci China Inf Sci, 2022, 65(6): 160109, doi: 10.1007/s11432-021-3435-8