Bingchen Liu

6 papers and 198 indexed citations i.

Bingchen Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Bingchen Liu has authored 6 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Cancer Research. Recurrent topics in Bingchen Liu’s work include Generative Adversarial Networks and Image Synthesis (3 papers), Multimodal Machine Learning Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Bingchen Liu is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (3 papers), Multimodal Machine Learning Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Bingchen Liu collaborates with scholars based in The Netherlands, United States and Germany. Bingchen Liu's co-authors include Ahmed Elgammal, Yizhe Zhu, Jianwen Xie, Mohamed Elhoseiny, Marian Mazzone, Gerard de Melo and Zuohui Fu and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV), International Conference on Learning Representations and Proceedings of the AAAI Conference on Artificial Intelligence.