Mingxiao Tu

Predictions contain a white rectangle in the middle while using my own data set

4

Hi there, I have had a problem while using the UNet, and I will really appreciate that if someone could help me with this. I have 13000 images of skin...

LoFTR descriptors (feature representation retrival)

5

Hi there, Thank you first for all this amazing work! I just had a quick question in regards to the feature representation that you used before and after the fine-matching...

Improve object tracking for objects that temporarily disappear and reappear in the video

1

Hi all, First of all, I would like to thank you again for your amazing work! I have successfully used it in my application, and it performs really well! However,...

Run time performance

2

Hi, Thank you for such an amazing and useful project! I am wondering what the best performance of the running time for each frame you got when tracking an object...

Dear Authors, Thank you for your amazing work! I have been following your work on PTF with great interest and admiration. Your approach has shown remarkable results in your paper....

Hi there! Firstly, I'd like to extend my heartfelt gratitude for the incredible work on this project. The functionality and performance have been outstanding, and it's been instrumental in my...

Dear Authors, Thank you for your amazing work! I have been following your work on IPNET with great interest and admiration. Your approach has shown remarkable results in your paper....

Inputting custom source and target mesh for partial non-rigid registration in NonRigidPuzzles

1

Hello, Thank you very much for your hard work! I am a user of the 'Non Rigid Puzzles' code and I am interested in performing partial non-rigid registration using my...

Saving SMPL Ground Truth and Point Cloud File

3

Dear author, Thank you for this amazing work! I'm exploring the `viz_real_cvpr_release.py` script in your repository and find it very useful. I'm interested in saving the real point cloud file...

Dear Authors, Thank you for your amazing work! I have been following your work on RFNet-4D with great interest and admiration. Your approach has shown remarkable results in your paper....