Qingnan Fan

icon indicating a website link https://fqnchina.github.io/ icon indicating an email [email protected]

icon company Stanford University icon location California, US icon location I am a Lead Researcher in the Imaging Algorithm Center of VIVO

Results 4 comments of Qingnan Fan

problem when training ECNN individually

Hi, This loss may be high in absolute intensity, but it's not high compared to the initial value (10^8), right? The point to evaluate if an edge map is trained...

E-CNN ground truth

The label of E-CNN is the edge map of ground truth target image. Note the edge map is not the one generated by traditional edge detector, it is computed by...

optim.adam_state

The adam file has been uploaded with notes on how to compile this into the torch framework. Actually, the adam_state function is developed for finetuning the trained framework with existing...

synthetic ground truth request

The ground truth images are just uploaded into the "testdata_reflection_synthetic" folder. Pls check it. Thank you for being interested in our paper.