Viewing profile — flor1s

I mean the PDF reader that is contained in Zotero. Am I using the wrong terminology?

Some PDF readers have a Back button (like the built-in Zotero PDF reader).

Well, some people are trying https://hirokatsukataoka16.github.io/Pretraining-without-Nat...

Novel view synthesis, so based on some images of a scene, rendering views from positions and angles that were not originally recorded. 3D Gaussian Splatting, besides beating the st…

I think these days we can quite reliably train robots to do single tasks from a few demonstrations. The problem is that "quite reliably" simply is not good enough for the real worl…

I guess generative AI using copilot or ChatGPT might overtake model-driven engineering as a time-saving technique, which seems worrisome for the "software factory" industry. At the…

It's weird how mixed quality their books are, and how many overlapping books they have. From Packt I like Sebastian Raschka's books on Python Machine Learning. Other than that from…

Weights are just numbers, essentially by using a neural network you are telling the system to "find the best way to represent the scene with a budget of X numbers/parameters". Mode…

AIST | Research Assistant or Technical Assistant | Onsite in Tokyo, Japan | Python, C++ We are a Japanese semi-governmental research and development institute, our center does rese…

When tables get too complex (e.g. generated columns using dataview) I switch to embedding subnotes using the ![[]] syntax and "clean embeds" CSS [1]. [1]: https://kool.casa/notes/d…

+1 for Obsidian, though until now I haven't felt the need to write actual papers in. Zotero + latexmk + vim + Skim/SumatraPDF mostly scratches that itch for me.

I'm not sure if it's truly a timeless paper, but "Attention is all you need" by Vaswani et al. has been super influential in recent years. Also "Deep Unsupervised Learning using No…

tmux + tmuxinator seems like a solution? Though my workflow right now is mostly SSH + tmux + jupyterlab

In my experience NeRF tends to work better for objects that photogrammetry struggles with, like transparent objects. By using marching cubes you can also export scenes as a mesh. i…

Neural Radiance Fields are a technique from the neural rendering research field, while photogrammetry is a research field on its own. However these are just turf wars and in practi…

instant-ngp: https://github.com/NVlabs/instant-ngp

RxPy and "Functional Reactive Programming" (Flow Based Programming) also seem related, albeit they are not visual tools.

You also have a pretty heavyweight competitor with Epic Games (RealityScan).

Oh well... O'Reilly themselves have been losing publishers, a lot of their books (especially containing math) are formatted like crap, their tagging is terrible. Hopefully ACM can …

The unlimited access to the digital library is nice, even though you need to pay extra. I don't think for example IEEE offers a similar benefit.

Luckily Putin would never capture a nuclear plant.

That's awesome. If I may ask, the data you operate on are still image-like grids or do you operate on more basic data types (e.g. strings)? Personally I'm also working on an indust…

Traditional GANs typically have a different problem called mode collapse, in which the generator learns one (or a few) outputs that the discriminator likes. Conditional GANs are gi…

Browsing through their code, it looks like they are using a VQGAN for image generation and ESRGAN for super resolution.

Could you give examples of using GAN in prod? Recently there was a discussion on Twitter about the reduced number of GAN papers in the last few years, and some people mentioned tha…