Peng Wang is affiliated with Baidu in China and specializes in research within the field of Computer Science. Their work primarily focuses on subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Human-Computer Interaction, and Media Technology.
The scientist's research areas cover various topics such as Multimodal Machine Learning Applications, Video Surveillance and Tracking Methods, Human Pose and Action Recognition, Advanced Neural Network Applications, Advanced Image and Video Retrieval Techniques, Domain Adaptation and Few-Shot Learning, and Anomaly Detection Techniques and Applications.
Peng Wang has contributed to several recent publications, including:
The frequent co-authors of Peng Wang's research include Yanning Zhang, Qi Wu, Wei Suo, Lingqiao Liu, and Peng Wu.
Peng Wang's work has been regularly published in a range of venues. Venues with notable frequency include arXiv (Cornell University), IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, and Pattern Recognition.
Xinyu Huang;Xinjing Cheng;Qichuan Geng;Binbin Cao
Xinyu Huang;Peng Wang;Xinjing Cheng;Dingfu Zhou
Peng Wang;Xiaohui Shen;Zhe Lin;Scott Cohen
Liang-Chieh Chen;Alexander Hermans;George Papandreou;Florian Schroff
Xinjing Cheng;Peng Wang;Ruigang Yang
Xinjing Cheng;Peng Wang;Ruigang Yang
Yang Wang;Yi Yang;Zhenheng Yang;Liang Zhao
Alireza Fathi;Zbigniew Wojna;Vivek Rathod;Peng Wang
Chenxu Luo;Zhenheng Yang;Peng Wang;Yang Wang
Fangting Xia;Peng Wang;Xianjie Chen;Alan L. Yuille
Xinjing Cheng;Peng Wang;Chenye Guan;Ruigang Yang
Zhenheng Yang;Peng Wang;Yang Wang;Wei Xu
Xibin Song;Peng Wang;Dingfu Zhou;Rui Zhu
Yang Wang;Peng Wang;Zhenheng Yang;Chenxu Luo
Fangting Xia;Peng Wang;Liang-Chieh Chen;Alan L. Yuille
Peng Wang;Gang Zeng;Rui Gan;Jingdong Wang
Zhenheng Yang;Peng Wang;Wei Xu;Liang Zhao
Peng Wang;Xiaohui Shen;Zhe Lin;Scott Cohen
Yuhang Song;Chao Yang;Yeji Shen;Peng Wang
Zhenheng Yang;Peng Wang;Wei Xu;Liang Zhao
Gang Zeng;Peng Wang;Jingdong Wang;Rui Gan
If you think any of the details on this page are incorrect, let us know.
Exploring computer science in the USA opens up a variety of related online degrees and flexible career paths. Many students choose to start with an online associate degree to build a foundational skill set and enter tech fields quickly. This approach is both affordable and versatile, ideal for those seeking entry-level positions or planning to continue their education.
Others aim for specialized advancement with quick masters degrees online. These accelerated programs allow working professionals to upskill rapidly while balancing job responsibilities, leading to more opportunities in high-demand tech roles.
For those prioritizing long-term career security and growth, choosing the best masters degree to get ensures market relevance. Specialized graduate degrees in data science, cybersecurity, and artificial intelligence are consistently in demand.
In addition to degrees, many technology careers value certifications for jobs. Industry-recognized certificates can quickly boost your resume, help you transition into new tech specialties, and even increase earning potential without a lengthy time commitment.
Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Publications: 30
United States Department of Agriculture
University of Vermont
University of Maryland, College Park
University of Arizona
University of Colorado Boulder
Yeditepe University
University of Dundee
University of Dundee
University of Pennsylvania
Tsinghua University
Tsinghua University
University of Manitoba
Islamia University of Bahawalpur
Beth Israel Deaconess Medical Center
Mayo Clinic
Claude Bernard University Lyon 1
