Shengjin Wang is affiliated with Tsinghua University in China and has contributed extensively to the field of computer science, with a particular focus on computer vision and pattern recognition. Their research outputs span various subfields including artificial intelligence, media technology, biomedical engineering, and electrical and electronic engineering.
Their work covers a range of topics such as advanced neural network applications, video surveillance and tracking methods, human pose and action recognition, domain adaptation and few-shot learning, anomaly detection techniques and applications, and advanced image and video retrieval techniques.
Notable recent publications by Shengjin Wang include:
Frequent co-authors collaborating with Shengjin Wang include Yali Li, Zhongdao Wang, Zhaopeng Dou, Takashi Isobe, and Zhewei Zhang.
Their research is regularly published in venues such as arXiv (Cornell University), Tsinghua Science & Technology, IEEE/CVF International Conference on Computer Vision (ICCV), IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), and IEEE Signal Processing Letters.
Liang Zheng;Liang Zheng;Liyue Shen;Lu Tian;Shengjin Wang
Yifan Sun;Liang Zheng;Yi Yang;Qi Tian
Liang Zheng;Liang Zheng;Zhi Bie;Yifan Sun;Jingdong Wang
Zhongdao Wang;Liang Zheng;Yixuan Liu;Yali Li
Yifan Sun;Liang Zheng;Weijian Deng;Shengjin Wang
Taiqing Wang;Shaogang Gong;Xiatian Zhu;Shengjin Wang
Jingchun Cheng;Jingchun Cheng;Yi-Hsuan Tsai;Yi-Hsuan Tsai;Shengjin Wang;Ming-Hsuan Yang
Yifan Sun;Qin Xu;Yali Li;Chi Zhang
Zhongdao Wang;Luming Tang;Xihui Liu;Zhuliang Yao
Liang Zheng;Shengjin Wang;Lu Tian;Fei He
Jingchun Cheng;Jingchun Cheng;Yi-Hsuan Tsai;Wei-Chih Hung;Shengjin Wang
Yali Li;Shengjin Wang;Qi Tian;Xiaoqing Ding
Taiqing Wang;Shaogang Gong;Xiatian Zhu;Shengjin Wang
Yifan Sun;Liang Zheng;Yi Yang;Qi Tian
Liang Zheng;Shengjin Wang;Ziqiong Liu;Qi Tian
Takashi Isobe;Takashi Isobe;Xu Jia;Shuhang Gu;Songjiang Li
Dong Li;Jia-Bin Huang;Yali Li;Shengjin Wang
Zhongdao Wang;Liang Zheng;Yali Li;Shengjin Wang
Takashi Isobe;Songjiang Li;Xu Jia;Shanxin Yuan
Liang Zheng;Shengjin Wang;Qi Tian
If you think any of the details on this page are incorrect, let us know.
For students interested in broadening their expertise beyond computer science, several affordable and flexible online degree options are available. For example, an online physics degree can provide a strong analytical foundation, while also offering the convenience of distance learning for busy professionals.
Exploring cross-disciplinary fields is another great way to enhance career opportunities. Those interested in emerging fields like artificial intelligence or big data may consider the cheapest data science degree programs, which open doors to high-demand tech careers without excessive costs.
For a more technical path, pursuing an accredited online electrical engineering programs can lead to specialist roles in hardware, robotics, and beyond. These programs are designed to meet industry standards while offering the flexibility of online study.
Additionally, those seeking a quicker entry into the workforce can benefit from pursuing easy certifications to get that are known to pay well. Certifications can boost employability, validate skills, and often require less time and investment than traditional degrees.
Intel (United States)
University of Illinois at Urbana-Champaign
European Organization for Nuclear Research
Goddard Space Flight Center
Peter MacCallum Cancer Centre
Johns Hopkins University
Montreal Neurological Institute and Hospital
Colorado State University
Stony Brook University
Harvard University
Korea Advanced Institute of Science and Technology
Nanjing University
Stanford University
University of Lausanne
Smithsonian Tropical Research Institute
University of Alberta
