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## 🚀 Feature
Hello, I'm using kornia to work with MRI images for the auto-differentiation feature but out of the deep-learning context. It came super usefull to not re-implement every thing.
So I…
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We do have `colorview`/`channelview`/`rawview` to build these functionalities, but from a user's perspective, it would be much much easier to understand and use things like:
- `to_matlab`/`from_mat…
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# Reinforcement learning for 3D Volleyball game
## Team members:
- Tamara Ilić SV45/2020 group 3
- Uroš Poček SV57/2020 group 3
## Assistant:
- Branislav Andjelic
## Problem being solved:
…
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Neural Networks loosly follow how the brain works. Current Visualizations are kinda boring and bleh. The link below is a basic example.
http://aindra.in/blog/index.php/2017/03/09/deep-visualization-…
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Bộ dữ liệu SMPL
_Originally posted by @SlimeVRX in https://github.com/SlimeVRX/SlimeVRX/issues/19#issuecomment-1105252703_
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Hello, I don't know much about ros. I found that the inference file contains functions for pose estimation. When the input is a picture, how can I use these existing functions to estimate the pose of …
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### Metadata
- Authors: Pascal Mettes, Elise van der Pol, Cees G. M. Snoek
- Organization: University of Amsterdam
- Conference: NeurIPS 2019
- Paper: https://arxiv.org/pdf/1901.10514.pdf
- Code:…
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Dear Professor,
I'm sorry to disturb you. I am currently studying deep learning, especially object detection and posture recognition. The content we learned in class is related to the identification …
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[Deep Adaptive LiDAR: End-to-end Optimization of Sampling and Depth Completion at Low Sampling Rates](https://ieeexplore.ieee.org/abstract/document/9105252)
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3D convolutions are important too!
Like 2D images in nature, 3D Volume data is very common, such as medical CT and MRI data, where voxels are uniformly distributed in 3D space.
The medical and …