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I'm a bit of an eclectic mess ๐Ÿ™‚ I've been a programmer, journalist, editor, TV producer, and a few other things.

I'm currently working on my second novel which is complete, but is in the edit stage. I wrote my first novel over 20 years ago but then didn't write much till now.

I post about #Coding, #Flutter, #Writing, #Movies and #TV. I'll also talk about #Technology, #Gadgets, #MachineLearning, #DeepLearning and a few other things as the fancy strikes ...

Lived in: ๐Ÿ‡ฑ๐Ÿ‡ฐ๐Ÿ‡ธ๐Ÿ‡ฆ๐Ÿ‡บ๐Ÿ‡ธ๐Ÿ‡ณ๐Ÿ‡ฟ๐Ÿ‡ธ๐Ÿ‡ฌ๐Ÿ‡ฒ๐Ÿ‡พ๐Ÿ‡ฆ๐Ÿ‡ช๐Ÿ‡ซ๐Ÿ‡ท๐Ÿ‡ช๐Ÿ‡ธ๐Ÿ‡ต๐Ÿ‡น๐Ÿ‡ถ๐Ÿ‡ฆ๐Ÿ‡จ๐Ÿ‡ฆ

Fahim Farook

"Towards Enhanced Controllability of Diffusion Models. (arXiv:2302.14368v1 [cs.CV])" โ€” Creating a diffusion model that is easier to edit/style based on input images by conditioning the model on a spatial content mask and a flattened style embedding.

Paper: http://arxiv.org/abs/2302.14368

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Comparison of the proposed modeโ€ฆ
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Fahim Farook

"One-Shot Video Inpainting. (arXiv:2302.14362v1 [cs.CV])" โ€” A method to inpaint videos where instead of having to provide masks for each frame, you only need to provide the object mask for the initial frame in the video sequence.

Paper: http://arxiv.org/abs/2302.14362

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Qualitative comparison between โ€ฆ
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Fahim Farook

"Deep Learning for Identifying Iran's Cultural Heritage Buildings in Need of Conservation Using Image Classification and Grad-CAM. (arXiv:2302.14354v1 [cs.CV])" โ€” Using machine learning to identify damage and defects to cultural heritage buildings using Convolutional Neural Networks (CNN).

Paper: http://arxiv.org/abs/2302.14354

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Comparing a picture with small-โ€ฆ
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Fahim Farook

A whopping 136 papers in the cs.CV category on arXiv.org today โ€” 96 new, 40 updated.

If thereโ€™s more than the usual number of interesting papers there today, Iโ€™m in for a long wade through papers today ๐Ÿ˜›

#AI #CV #NewPapers #DeepLearning #MachineLearning
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@davemark Iโ€™ve been waiting all this time for somebody to do that ๐Ÿ™‚ My wife and I watch/play (almost) everything together and weโ€™ve never had a shared solution which works well both at home and when we are on a plane etc.

We use shared headphones and a single iPad currently when traveling but the ideal would be to have glasses which give us a big screen display and lets us both see the same movie, pause it at the same spot when we want to stop etc.

I was thinking that SharePlay was Appleโ€™s way of achieving this for AR glasses, but I donโ€™t think it works on a plane? I might be wrong โ€ฆ
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@davemark Being able to share the same content with others (for example, watching the same movie together or playing/watching a game) so that I can do away with a big-screen TV ๐Ÿ™‚
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Green Ridge Windmill, Brighton, UK. Also known as Waterhall Mill, it was built in 1885. It was the last windmill built in Sussex, and was working until 1924. In World War II it was used by the Home Guard as a lookout post. The mill was converted into a house in 1963, and externally restored. The sweeps (Sussex dialect for sails) were replaced in 1974. This is my nearest large open space, and I love it.

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I suppose you might be fed up with shots of the by now, so Iโ€™ll just sneak in this moon photo with the photobombing! ๐Ÿ˜Š

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Winter sunset silhouette at the Lorain West Breakwater Light in Ohio on Lake Erie. Photo by Tony Psaltis.

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Fahim Farook

Tom Hanks movies can go either way โ€” there are ones that Iโ€™ve absolutely loved, and then there are ones that I care nothing whatsoever for (and Iโ€™m looking at you, โ€œFinchโ€ โ€ฆ)

But โ€œA Man Called Ottoโ€, what can I say? It feels like his best movie ever, at least right now just after watching it, feels like one of his very best ๐Ÿ™‚ I loved everything about the movie and how the story unfolded. It was a brilliant performance, and a great story!

#MiniReview #Movies
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ะ‘. ะ‘ะฐะฐั‚ะฐั€

Mount Fitz Roy
Patagonia, Argentina

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@BobWilliams Sure thing ๐Ÿ™‚

I just like finding solutions and I do like knowing that a JS solution is there if I want it. So any poking around is not (just) for your sake ๐Ÿ˜›

There were a couple of more advanced JS clients that I took a look at but I think they either got too complicated coding wise or didnโ€™t have the features I wanted. I like to keep things as simple as possible โ€ฆ

But in case it helps, here are the links to those too:

https://github.com/oken1/kurotodon

https://github.com/nolanlawson/pinafore

https://github.com/NickColley/semaphore
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@BobWilliams If I donโ€™t do something immediately, I (generally) forget to do it later โ€ฆ So I did a quick GitHub repo, added a README and updated the code. Here it is:

https://github.com/FahimF/FediJS

It used to run fine a few months back but apparently has issues now ๐Ÿ˜› I did a few quick fixes to get it to show the login screen but canโ€™t get beyond that at the moment since I originally did the development for a Mastodon instance and Iโ€™m now on Akkoma and Akkoma recently changed their auth mechanism.

I donโ€™t know for a fact that thatโ€™s the issue but hopefully, if you are on Mastodon, it just works for you. Will take a look perhaps this weekend to see what the issue is but would be happy to discuss further if you run into issues too โ€ฆ
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Fahim Farook

And thatโ€™s it for papers today โ€” 6 papers boosted from the cs.CV category (and one outside) out of a total of 98 on arXiv.org today ...

#AI #CV #NewPapers #DeepLearning #MachineLearning
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Fahim Farook

"Accuracy and Fidelity Comparison of Luna and DALL-E 2 Diffusion-Based Image Generation Systems. (arXiv:2301.01914v2 [cs.CV] UPDATED)" โ€” Comparing the accuracy and fidelity of images generated by DALL-E 2 and Luna, which is Stable Diffusion-based.

Paper: http://arxiv.org/abs/2301.01914
Luna code: https://github.com/slowy07/luna

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Selected image samples from theโ€ฆ
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Fahim Farook

"An efficient deep neural network to find small objects in large 3D images. (arXiv:2210.08645v2 [cs.CV] UPDATED)" โ€” What it says in the title ๐Ÿ™‚

Paper: http://arxiv.org/abs/2210.08645
Code: https://github.com/nyukat/3d_gmic

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Fahim Farook

"Leveraging Large Language Model and Story-Based Gamification in Intelligent Tutoring System to Scaffold Introductory Programming Courses: A Design-Based Research Study" โ€” Using Large Language Models (LLM) and gamification to teach programming in a more digestible format (especially) in introductory programming courses.

Paper: https://arxiv.org/abs/2302.12834

#AI #NewPaper #DeepLearning #MachineLearning #HumanComputerInteraction

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Fahim Farook

"Diffusion Posterior Sampling for General Noisy Inverse Problems. (arXiv:2209.14687v3 [stat.ML] UPDATED)" โ€” Extending diffusion solvers to efficiently handle general noisy (non)linear inverse problems via approximation of the posterior sampling.

Paper: http://arxiv.org/abs/2209.14687
Code: https://github.com/dps2022/diffusion-posterior-sampling

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Solving noisy linear, and nonliโ€ฆ
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@BobWilliams Sure ๐Ÿ™‚ Will put up the JavaScript code on GitHub at some point today and let you know โ€ฆ Itโ€™s very basic at the moment but it will at least let you connect to an instance and see your home timeline. From there to filtering should be fairly straightforward since all you need to do is go through the fetched posts and figure out what you want to filter out โ€ฆ (hopefully) ๐Ÿ˜›
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