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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

"ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation. (arXiv:2106.05970v2 [cs.CL] UPDATED)" โ€” An imagination-based automatic evaluation metric for natural language generation, which with the help of StableDiffusion, automatically generates an image as the embodied imagination for a text snippet and computes the imagination similarity using contextual embeddings.

Paper: http://arxiv.org/abs/2106.05970

#AI #CV #NewPaper #DeepLearning #MachineLearning

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An evaluation example on GigaWoโ€ฆ
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This picture was accidentally taken with my iPhone 13 Pro. Being out in the country I wanted to take advantage of the lesser light pollution and get a clear image of the starsโ€”only to get photobombed by the Milky Way.

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Fahim Farook

"ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories. (arXiv:2302.02373v1 [cs.CV])" โ€” A novel and flexible conditional diffusion model by introducing conditions into the forward process. The process utilizes extra latent space to allocate an exclusive diffusion trajectory for each condition based on some shifting rules, which will disperse condition modeling to all timesteps and improve the learning capacity of model.

Paper: http://arxiv.org/abs/2302.02373

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Exploration of the mechanism ofโ€ฆ
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Fahim Farook

"ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval. (arXiv:2302.02285v1 [cs.CV])" โ€” A simple yet learning-free Retrieval-based Diffusion sampling framework capable of fast inference, which retrieves a trajectory similar to the partially generated trajectory from a precomputed knowledge base at an early stage of generation, skips a large portion of intermediate steps, and continues sampling from a later step in the retrieved trajectory.

Paper: http://arxiv.org/abs/2302.02285

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Diffusion Inference (upper) andโ€ฆ
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Fahim Farook

"Design Booster: A Text-Guided Diffusion Model for Image Translation with Spatial Layout Preservation. (arXiv:2302.02284v1 [cs.CV])" โ€” A new approach for flexible image translation by learning a layout-aware image condition together with a text condition, which co-encodes images and text into a new domain during the training phase.

Paper: http://arxiv.org/abs/2302.02284

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Style image translation and semโ€ฆ
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Fahim Farook

"Divide and Compose with Score Based Generative Models. (arXiv:2302.02272v1 [cs.CV])" โ€” Learning image components in an unsupervised manner in order to compose those components to generate and manipulate images in an informed manner.

Paper: http://arxiv.org/abs/2302.02272
Code: https://github.com/sandeshgh/Score-based-disentanglement

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Using all score components resuโ€ฆ
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Sโ˜…m Vโ˜…rmโ˜…

Sometimes the light just has a vibe

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Fahim Farook

"Real-Time Image Demoireing on Mobile Devices. (arXiv:2302.02184v1 [cs.CV])" โ€” A study on accelerating demoireing networks and a dynamic demoireing acceleration method (DDA) capable of real-time deployment on mobile devices.

Paper: http://arxiv.org/abs/2302.02184
Code: https://github.com/zyxxmu/DDA

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Images with moir ฬe patterns. Thโ€ฆ
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Fahim Farook

"DeepAstroUDA: Semi-Supervised Universal Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection. (arXiv:2302.02005v1 [astro-ph.GA])" โ€” A universal domain adaptation method to overcome the challenge of artificial intelligence methods extracting dataset-specific, non-robust features.

Paper: http://arxiv.org/abs/2302.02005

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Example images from the source โ€ฆ
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My walk along the sewage runoff โ€œcreekโ€ had surprisingly good birds today. This guy hangs out there frequently so is quite used to walkers and is unbothered by lookyloos!

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Fahim Farook

A total of 91 papers in the cs.CV category on arXiv.org today โ€” 48 new, 43 updated.

So a balanced set of new and updated papers today? On to reading โ€ฆ

#AI #CV #NewPapers #DeepLearning #MachineLearning
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NASA is hiring a Chief Data Officer. I'll bet a few of you know someone who absolutely needs to know about this opportunity: https://www.usajobs.gov/job/700799600

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Hello all!
I'm a (soon to start)PhD student at the Leibniz Institute for Analytical Sciences - ISAS. I am passionate about applying ๐Ÿค– methods to ๐Ÿž , especially . I mostly work in python , though I'm trying to learn .

I like sunshine ๐ŸŒž , nature โ›ฐ๏ธ , and adventures! Also, I'm a coffee coffee_mug addict, and it always never fails to lift my mood ๐Ÿ˜

I'm looking forward to following people doing amazing ๐Ÿ”ฌ here at , and being part of this wholesome !

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Who am I, and why am I here?

I am a machine learning researcher, using tools from , , , , , signal processing, etc.

I care deeply about people, their well-being, inclusion, diversity, equity, privacy, and justice.

I believe in slow and rigorous scientific process, to add value to existing knowledge, and improve positive impact on society.

I am here to learn about all of these.

More about at https://emtiyaz.github.io/

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A new post-doc/research scientist position is available in our group! Please help me spread the word.
https://www.riken.jp/en/careers/researchers/20230203_3/index.html

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RT @Astronomiaum
Pensando muito nisso aqui ๐Ÿคฏ

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I bet sometimes lice go in wigs without realizing it's a wig and when they find out they feel so dumb.

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