#kornia — Public Fediverse posts

WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models

Changhoon Kim, Kyle Min, Maitreya Patel, Sheng Cheng, Yezhou Yang

tl;dr: augmentation-robust user signature to stable diffusion results
#kornia used for data augmentatio.

https://arxiv.org/abs/2306.04744

#computervision #deeplearning

WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models

Changhoon Kim, Kyle Min, Maitreya Patel, Sheng Cheng, Yezhou Yang

tl;dr: augmentation-robust user signature to stable diffusion results
#kornia used for data augmentatio.

https://arxiv.org/abs/2306.04744

#computervision #deeplearning

Baseline submission notebook with all the best
@kornia_foss

#kornia image matching models:
- DISK
- LoFTR
- KeyNet-AffNet-HardNet

Be careful: lots of aux code to import results into colmap database.
https://kaggle.com/code/eduardtrulls/imc-2023-submission-example
Clean local version:

https://github.com/ducha-aiki/imc2023-kornia-starter-pack

Baseline submission notebook with all the best
@kornia_foss

#kornia image matching models:
- DISK
- LoFTR
- KeyNet-AffNet-HardNet

Be careful: lots of aux code to import results into colmap database.
https://kaggle.com/code/eduardtrulls/imc-2023-submission-example
Clean local version:

https://github.com/ducha-aiki/imc2023-kornia-starter-pack

Learned Two-Plane Perspective Prior based Image Resampling for Efficient Object Detection

Anurag Ghosh, N. Dinesh Reddy, Christoph Mertz, Srinivasa G. Narasimhan

https://arxiv.org/abs/2303.14311

tl;dr vanishing points help egocentric object detection.
#kornia used for geometry warps & DLT.

#computervision #deeplearning

Learned Two-Plane Perspective Prior based Image Resampling for Efficient Object Detection

Anurag Ghosh, N. Dinesh Reddy, Christoph Mertz, Srinivasa G. Narasimhan

https://arxiv.org/abs/2303.14311

tl;dr vanishing points help egocentric object detection.
#kornia used for geometry warps & DLT.

#computervision #deeplearning

LFM-3D: Learnable Feature Matching Across Wide Baselines Using 3D Signals

Arjun Karpur, Guilherme Perrotta, Ricardo Martin-Brualla, Howard Zhou, Andre Araujo

tl;dr: SuperGlue meets monodepth for matching objects, not scenes.
#kornia used for LoFTR baseline.

https://arxiv.org/abs/2303.12779

#computervision #deeplearning

LFM-3D: Learnable Feature Matching Across Wide Baselines Using 3D Signals

Arjun Karpur, Guilherme Perrotta, Ricardo Martin-Brualla, Howard Zhou, Andre Araujo

tl;dr: SuperGlue meets monodepth for matching objects, not scenes.
#kornia used for LoFTR baseline.

https://arxiv.org/abs/2303.12779

#computervision #deeplearning

A Survey of Feature detection methods for localisation of plain sections of Axial Brain Magnetic Resonance Imaging

Jiří Martinů, Jan Novotný, Karel Adámek, Petr Čermák, Jiří Kozel, David Školoudík

tl;dr: #kornia HardNet works for matching brain images
https://arxiv.org/abs/2302.04173.pdf

A Survey of Feature detection methods for localisation of plain sections of Axial Brain Magnetic Resonance Imaging

Jiří Martinů, Jan Novotný, Karel Adámek, Petr Čermák, Jiří Kozel, David Školoudík

tl;dr: #kornia HardNet works for matching brain images
https://arxiv.org/abs/2302.04173.pdf

Nailfold capillaroscopy and deep learning in diabetes

Reema Shah, Jeremy Petch, Walter Nelson, Karsten Roth, Michael D Noseworthy, Marzyeh Ghassemi, Hertzel C Gerstein

tl;dr: CNNs for diabetes detection from nailfold photos. #kornia used for data augmentation

https://onlinelibrary.wiley.com/doi/epdf/10.1111/1753-0407.13354

Nailfold capillaroscopy and deep learning in diabetes

Reema Shah, Jeremy Petch, Walter Nelson, Karsten Roth, Michael D Noseworthy, Marzyeh Ghassemi, Hertzel C Gerstein

tl;dr: CNNs for diabetes detection from nailfold photos. #kornia used for data augmentation

https://onlinelibrary.wiley.com/doi/epdf/10.1111/1753-0407.13354

Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays

Rogier van der Sluijs, Nandita Bhaskhar, Daniel Rubin, Curtis Langlotz, Akshay Chaudhari

tl;dr: #kornia RandomResizedCrop+Contrast+Brightness are good for X-Ray representation learning

https://arxiv.org/abs/2301.12636

#computervision #deeplearning

Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays

Rogier van der Sluijs, Nandita Bhaskhar, Daniel Rubin, Curtis Langlotz, Akshay Chaudhari

tl;dr: #kornia RandomResizedCrop+Contrast+Brightness are good for X-Ray representation learning

https://arxiv.org/abs/2301.12636

#computervision #deeplearning

Unsupervised Volumetric Animation

Aliaksandr Siarohin, Willi Menapace, Ivan Skorokhodov, Kyle Olszewski, Jian Ren, Hsin-Ying Lee, Menglei Chai, Sergey Tulyakov

tl;dr: video ->face keypoints ->PnP -> learning to animate faces

#kornia PnP reported not helpful.
https://arxiv.org/abs/2301.11326
#computervision #deeplearning

Unsupervised Volumetric Animation

Aliaksandr Siarohin, Willi Menapace, Ivan Skorokhodov, Kyle Olszewski, Jian Ren, Hsin-Ying Lee, Menglei Chai, Sergey Tulyakov

tl;dr: video ->face keypoints ->PnP -> learning to animate faces

#kornia PnP reported not helpful.
https://arxiv.org/abs/2301.11326
#computervision #deeplearning

🚀#kornia v0.6.9!

📢 Revamp kornia.geometry including new primitives Hyperplane, ParametrizedLine/Ray, Quaternions, Vector3, Scalar and lie algebra. Big improve of CI, typing robustness and many more.

👉 https://github.com/kornia/kornia/releases/tag/v0.6.9

#computervision #opensource #ai #PyTorch #deeplearning

🚀#kornia v0.6.9!

📢 Revamp kornia.geometry including new primitives Hyperplane, ParametrizedLine/Ray, Quaternions, Vector3, Scalar and lie algebra. Big improve of CI, typing robustness and many more.

👉 https://github.com/kornia/kornia/releases/tag/v0.6.9

#computervision #opensource #ai #PyTorch #deeplearning

Hi everyone.
We are kornia, differentiable low-to-high level computer vision library in #Pytorch with ~1M downloads/month.

Everything you can think of in OpenCV, is or will be in future in kornia, as well as new #deeplearning #augmentation things. Said that, we are not focused on models, but instead on functions & operators.

We promote papers, who use #kornia and open to discussions.

Docs: https://kornia.readthedocs.io/en/latest/
GH: https://github.com/kornia/kornia
Sponsor us: https://opencollective.com/kornia
#introduction

Hi everyone.
We are kornia, differentiable low-to-high level computer vision library in #Pytorch with ~1M downloads/month.

Everything you can think of in OpenCV, is or will be in future in kornia, as well as new #deeplearning #augmentation things. Said that, we are not focused on models, but instead on functions & operators.

We promote papers, who use #kornia and open to discussions.

Docs: https://kornia.readthedocs.io/en/latest/
GH: https://github.com/kornia/kornia
Sponsor us: https://opencollective.com/kornia
#introduction

The stream video of Day 7 #FOSSASIA #Virtual Summit 2021 #ArtificialIntelligence #PyTorch #Visdom #Search #Kornia #Scikitlearn #SUSIAI #ComputerVision #NLP #MachineLearning https://youtu.be/Y7klW1aoaH8

Kornia: differentiable Computer Vision with Pytorch from creator Edgar Riba coming up in a few hours at #FOSSASIA Summit

16:30 SGT (08:30 UTC)

https://eventyay.com/e/fa96ae2c/session/6673

workshop is an intro to #Kornia, a library that implements classical #ComputerVision algorithms in PyTorch

#FLOSSconf #FLOSSevent #AI #FLOX