Chen Liang (梁琛)

I'm a third-year PhD student at ZJU, advised by Prof.Wenguan Wang and Prof.Yi Yang. I got my B.S. from SSE, Tongji Univ. in 2020.

Email  /  Google Scholar  /  Github

I'm interested in Machine Vision and Embodied AI. Feel free to contact me if there is any question on my research.

LogicDiag identifies conflicts in pseudo labels using symbolic knowledge and resolves them through logic-induced diagnoses. This approach improves performance by correcting erroneous labels and reducing error accumulation.

A new model that incorporates finite memory to align both the short-term and long-term video context with the language expression in an efficient manner.

We propose GMMSeg, a new family of segmentation models that rely on a dense generative classifier. GMMSeg is the first semantic segmentation method that reports promising results on both closed-set and open-world scenarios by using a single model instance.

A pilot work towards reasoning-beyond-observation in visual machine intelligence.

Champion solution in The 3rd Large-scale Video Object Segmentation Challenge: Referring Video Object Segmentation Track.

A new large-scale dataset for practical video scene parsing.

Code stolen from Jon Barron 0v0.