Mattia Segù

Hi Kieran, thank you so much for your interest and for your updates to the codebase! I will keep an eye on the pull request and merge it as soon...

Hi @lsssssssssss , I've just updated the README with instructions on how to compile the Chamfer module. Can you please try that and let me know if it solves your...

Hi @qiminchen and @csjxchen, sorry for not replying before! This definitely is a typo :) If you are working on it, you could simply make a PR to fix it...

Hi @godspeed1989 I am glad to know that you appreciate our work! The loss to train our network is literally `torch.nn.functional.mse(outputs,targets)`, plus L2 regularization on model weights. To evaluate the...

Hi @AndreMouton As I replied to @SaumilShah66, it is a known problem that training with the heteroscedastic loss may be difficult because of numerical instability problems. As you noticed, we...

Hi @SaumilShah66 Thanks for the interest in our work! Concerning the NaNs for loss when training ADF, it is a known problem that training with the heteroscedastic loss may be...

Hi @MoHassoubah, you are right, it should be the std! I fixed this already in the version of the repo on my github: https://github.com/mattiasegu/uncertainty_estimation_deep_learning

Hi @Eric-mingjie, great to hear that you enjoy our work! We plan to release the trained models, however it will take some time to polish the code for training. I'll...