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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

"Augmenting Pathologists with NaviPath: Design and Evaluation of a Human-AI Collaborative Navigation System" โ€” Using the navigation strategies of human pathologists to use their domain knowledge to enhance machine learning systems to navigate hight-resolution tumor images to search for patterns of interest.

Paper: https://arxiv.org/abs/2302.07309

#AI #NewPaper #DeepLearning #MachineLearning #HumanComputerInteraction
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Fahim Farook

"Stitchable Neural Networks. (arXiv:2302.06586v2 [cs.LG] UPDATED)" โ€” A way to combine different pretrained models to combine models of varying complexity and performance.

Paper: http://arxiv.org/abs/2302.06586

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Compared with previous scalableโ€ฆ
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Fahim Farook

"Learning When to Say "I Don't Know". (arXiv:2209.04944v2 [cs.CV] UPDATED)" โ€” A method to teach learning systems when they don't know something, or at least to identify areas of uncertainty. Perhaps this should be tried with ChatGPT and Bing to mitigate all the gaslighting? ๐Ÿ˜›

Paper: http://arxiv.org/abs/2209.04944
Code: https://github.com/osu-cvl/learning-idk

#AI #CV #NewPaper #DeepLearning #MachineLearning

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t-SNE plots of logits from a weโ€ฆ
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Fahim Farook

"SoK: Anti-Facial Recognition Technology. (arXiv:2112.04558v2 [cs.CR] UPDATED)" โ€” An analysis of the currently available Anti-Facial Recognition (AFR) research and the pros and cons of the different approaches.

Paper: http://arxiv.org/abs/2112.04558

#AI #CV #NewPaper #DeepLearning #MachineLearning

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The workflow of how facial recoโ€ฆ
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Fahim Farook

"Team Triple-Check at Factify 2: Parameter-Efficient Large Foundation Models with Feature Representations for Multi-Modal Fact Verification. (arXiv:2302.07740v1 [cs.CL])" โ€” Verifying facts across different modes (text and images) and types (claim and document).

Paper: http://arxiv.org/abs/2302.07740
Code: https://github.com/wwweiwei/Pre-CoFactv2-AAAI-2023

#AI #CV #NewPaper #DeepLearning #MachineLearning

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An example of each category in โ€ฆ
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Fahim Farook

"Video Probabilistic Diffusion Models in Projected Latent Space. (arXiv:2302.07685v1 [cs.CV])" โ€” Generating high-resolution and coherent video using diffusion models.

Paper: http://arxiv.org/abs/2302.07685

#AI #CV #NewPaper #DeepLearning #MachineLearning

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256ร—256 resolution, 128 frame vโ€ฆ
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Fahim Farook

A total of 54 papers in the cs.CV category on arXiv.org today โ€” 33 new, 21 updated.

Are we slowing down for the weekend? ๐Ÿ˜›

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

I do most of my #StableDiffusion image generation using various scripts or GUIs that I created. Each of them store the image generation parameters in the image as meta data.

My latest generation GUI is also an image gallery. It lets me view the images Iโ€™ve generated and being able to see the parameters is handy since I can compare various images later and see what model, prompt, and settings were used.

I also do image generation on #Windows (as opposed to #Mac) using #InvokeAI. Now InovkeAI does store the generation settings in the image too but obviously, the keys used to store the data are different to mine.

So my image gallery does not show the settings used when I browse images generated in InokeAI ๐Ÿ˜›

I got a bunch of coding done and the new GUI working correctly as I liked yesterday. Now I have to figure out how to extract the metadata for InvokeAI-generated images and to display that in my viewer too โ€ฆ It never stops ๐Ÿ˜€

#Coding #ImageViewer #MachineLearning
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Hey, folks. Big layoffs at DigitalOcean today, and my team and I were hit. In fact, so was my adjacent team, and a good chunk of my department. I don't have much reach here on Mastodon yet, but if anybody wants to discuss opportunities for a technical editor / writer / manager of same, I'm up for it.

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Fahim Farook

Anybody doing any #Generative #MachineLearning stuff and posting about it as you work on it? Not papers? But just the daily trials and tribulations (and successes) of working on stuff. Have too many #DeepLearning and #MachineLearning accounts talking about their courses and videos and stuff and not enough of the daily stuff โ€ฆ

I miss that โ€ฆ Seeing what other people are working on, the small triumphs, and learning about new ways to do/try things โ€ฆ

If you are out there, hit me up and Iโ€™d like to follow you ๐Ÿ™‚
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I'm excited to be presenting a tutorial for new programmers at @pycon this year. ๐Ÿ˜Š

Have a colleague attending who doesn't (yet) write code? ๐Ÿง‘โ€๐Ÿ’ป

Ask them to keep an eye out for "Intro to Python for Brand New Programmers" when tutorial registration opens up! ๐Ÿ’–

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Fahim Farook

Yesterday's Pratchett novel title prompt was: "Snuff"

I didn't really expect much from that one since there isn't a lot to work with there. But I still got some interesting images ๐Ÿ™‚

These are from multiple models and so the styles are a little different across images. But still, I thought the end results were interesting ...

#AIArt #StableDiffusion #DeepLearning #MachineLearning #CV #AI #DiscWorld
Prompt: โ€œSnuffโ€. Colourful pictโ€ฆ
Prompt: โ€œSnuffโ€. A huge creaturโ€ฆ
Prompt: โ€œSnuffโ€. A colourful imโ€ฆ
Prompt: โ€œSnuffโ€. A colourful buโ€ฆ
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This photo was taken in Kenai, yesterday next to the Senior Center and Senior Apartments overlooking Cook Inlet with the mountain range in the background. And of course, there is a kneeling moose eating some grub. This is the area of the state I live in. ๐Ÿ’—
๐Ÿ“ธ by Carol Reinhardt King

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Fahim Farook

And with 11 papers boosted out of 82 in the cs.CV category on arXiv, we are done with papers for the day ๐Ÿ™‚

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

"DiffFaceSketch: High-Fidelity Face Image Synthesis with Sketch-Guided Latent Diffusion Model. (arXiv:2302.06908v1 [cs.CV])" โ€” Today seems to be the day for papers on turning sketches into realistic colour images using diffusion models ๐Ÿ˜› This is another approach ...

Paper: http://arxiv.org/abs/2302.06908

#AI #CV #NewPaper #DeepLearning #MachineLearning

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A Sketch-Guided Lantent Diffusiโ€ฆ
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Fahim Farook

"Text-Guided Scene Sketch-to-Photo Synthesis. (arXiv:2302.06883v1 [cs.CV])" โ€” Creating a whole scene color image based on a sketch using generative models such as Stable Diffusion.

Paper: http://arxiv.org/abs/2302.06883

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Overview of training and sampliโ€ฆ
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Fahim Farook

"Make Your Brief Stroke Real and Stereoscopic: 3D-Aware Simplified Sketch to Portrait Generation. (arXiv:2302.06857v1 [cs.CV])" โ€” Creating photorealistic images of people based on sketches using 3D generative models.

Paper: http://arxiv.org/abs/2302.06857

#AI #CV #NewPaper #DeepLearning #MachineLearning

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The visualization of our Stereoโ€ฆ
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Fahim Farook

"DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion Models. (arXiv:2302.06826v1 [cs.CV])" โ€” Transfer the input image appearance onto images of items of clothing while not altering the structure of the clothing item.

Paper: http://arxiv.org/abs/2302.06826
Code: https://github.com/Rem105-210/DiffFashion

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Two examples of a reference-basโ€ฆ
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Fahim Farook

"Multiple Appropriate Facial Reaction Generation in Dyadic Interaction Settings: What, Why and How?. (arXiv:2302.06514v2 [cs.CV] UPDATED)" โ€” An attempt to generate appropriate behavioral responses to received stimulus and to evaluate the appropriateness of the generated responses.

Paper: http://arxiv.org/abs/2302.06514

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Multiple appropriate reaction gโ€ฆ
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Fahim Farook

"NYCU-TWO at Memotion 3: Good Foundation, Good Teacher, then you have Good Meme Analysis. (arXiv:2302.06078v2 [cs.CL] UPDATED)" โ€” Classifying the emotions and intensity expressed in memes using machine learning.

Paper: http://arxiv.org/abs/2302.06078

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Overview of the Meme Encoder
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