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I'm a bit of an eclectic mess 🙂 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: 🇱🇰🇸🇦🇺🇸🇳🇿🇸🇬🇲🇾🇦🇪🇫🇷🇪🇸🇵🇹🇶🇦🇨🇦
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Fahim Farook

"Intelligent Painter: Picture Composition With Resampling Diffusion Model. (arXiv:2210.17106v2 [cs.CV] UPDATED)" — An intelligent painter that generate a person's imaginary scene in one go, given explicit hints as to the objects to appear in the final image, their placement in the image etc.

Paper: http://arxiv.org/abs/2210.17106
Code: https://github.com/vinesmsuic/ipainter-diffusion

#AI #CV #NewPaper #DeepLearning #MachineLearning

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The architecture of the propose…
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Fahim Farook

"Provably Convergent Plug & Play Linearized ADMM, applied to Deblurring Spatially Varying Kernels. (arXiv:2210.10605v3 [cs.CV] UPDATED)" — A plug & play framework based on linearized ADMM that allows you to bypass the computation of intractable proximal operators.

Paper: http://arxiv.org/abs/2210.10605
Code: https://github.com/claroche-r/pnp_ladmm

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Example of sample from the test…
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Fahim Farook

"Self-Supervised Learning Through Efference Copies. (arXiv:2210.09224v2 [cs.LG] UPDATED)" — A paper which shows that the commonly used self-supervised learning approach of transforming each training datapoint into a pair of views, using the knowledge of this pairing as a positive (i.e. non-contrastive) self-supervisory sign, and potentially opposing it to unrelated, (i.e. contrastive) negative examples is an incomplete implementation of a concept from neuroscience, the Efference Copy (EC).

Paper: http://arxiv.org/abs/2210.09224

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Efference copy (EC). A) Sensory…
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Fahim Farook

"Continual Transformers: Redundancy-Free Attention for Online Inference. (arXiv:2201.06268v3 [cs.AI] UPDATED)" — A novel formulations of the Scaled Dot-Product Attention, which enable Transformers to perform efficient online token-by-token inference on a continual input stream.

Paper: http://arxiv.org/abs/2201.06268
Code: https://github.com/lukashedegaard/continual-transformers

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Multi-block Continual Transform…
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Fahim Farook

"Model soups to increase inference without increasing compute time. (arXiv:2301.10092v1 [cs.CV])" — A comparison of Model Soups performances on three different models (ResNet, ViT and EfficientNet) using three Soup Recipes (Greedy Soup Sorted, Greedy Soup Random and Uniform soup) and a new Soup Recipe called Pruned Soup with better performance.

Paper: http://arxiv.org/abs/2301.10092
Code: https://github.com/milo-sobral/modelsoup

#AI #CV #NewPaper #DeepLearning #MachineLearning

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A table showing the accuracies …
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Fahim Farook

"Side Eye: Characterizing the Limits of POV Acoustic Eavesdropping from Smartphone Cameras with Rolling Shutters and Movable Lenses. (arXiv:2301.10056v1 [cs.CR])" — A paper discussing the limits of acoustic information leakage caused by structure-borne sound that perturbs the POV of smartphone cameras.

Paper: http://arxiv.org/abs/2301.10056

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Illustration of the POV optical…
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Fahim Farook

"Progressive Meta-Pooling Learning for Lightweight Image Classification Model. (arXiv:2301.10038v1 [cs.CV])" — A framework to make the receptive field learnable for a lightweight network, unlike the conventional efficient learning methods which ignore the role of the receptive field in neural network design, by using parameterized pooling-based operations.

Paper: http://arxiv.org/abs/2301.10038

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Overview of the proposed Meta-P…
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Fahim Farook

"Transfer Learning for Olfactory Object Detection. (arXiv:2301.09906v1 [cs.CV])" — An investigation of the effect of style and category similarity in multiple datasets used for object detection pretraining. The paper discusses using object recognition as a basis for the indirect recognition of more complex and meaningful "smell" references such as gestures and spaces.

Note: Similar to another paper, the word "olfactory" in the title confused me. Is "olfactory" being used in a slightly different context in machine learning?

Paper: http://arxiv.org/abs/2301.09906

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Smell. The Five Senses. 1558 – …
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Fahim Farook

"ODOR: The ICPR2022 ODeuropa Challenge on Olfactory Object Recognition. (arXiv:2301.09878v1 [cs.CV])" — The challenge aims to foster the development of object detection in the visual arts and to promote an olfactory perspective on digital heritage. It appears that they concentrate on smell-relevant objects rather than using smell to detect objects ...

Note: The use of the word "olfactory" is a bit confusing, in my opinion, in this paper and one other which came out today.

Paper: http://arxiv.org/abs/2301.09878

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Example image from the challeng…
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Fahim Farook

Yesterday's #StableDiffusion prompt was: "Making Money".

Not any of the resulting images had anything to do with the #DiscWorld novel, and some didn't even seem to fit the concept of the title, but hey, that's how it goes, right? 😛

#AIArt #DeepLearning #MachineLearning #CV #AI
Stable Diffusion prompt: "Makin…
Stable Diffusion prompt: "Makin…
Stable Diffusion prompt: "Makin…
Stable Diffusion prompt: "Makin…
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Fahim Farook

"The Infinite Index: Information Retrieval on Generative Text-To-Image Models. (arXiv:2212.07476v2 [cs.IR] UPDATED)" — A reframing of prompt engineering for generative models as interactive text-based retrieval on a novel kind of "infinite index".

Paper: http://arxiv.org/abs/2212.07476

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Overview of indexing approaches…
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Fahim Farook

"Look at Adjacent Frames: Video Anomaly Detection without Offline Training. (arXiv:2207.13798v5 [cs.CV] UPDATED)" — A solution to detect anomalous events in videos without the need to train a model offline, based on a randomly-initialized multilayer perceptron that is optimized online to reconstruct video frames, pixel-by-pixel, from their frequency information.

Paper: http://arxiv.org/abs/2207.13798

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Two figures, the first show the…
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Fahim Farook

"Synthesis of Compositional Animations from Textual Descriptions. (arXiv:2103.14675v6 [cs.CV] UPDATED)" — A technique for generating compositional actions, which handles complex input sentences and outputs a 3D pose sequence depicting the actions in the input sentence.

Paper: http://arxiv.org/abs/2103.14675
Code: https://github.com/anindita127/complextext2animation

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Overview of our proposed method…
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Fahim Farook

"Optimising Event-Driven Spiking Neural Network with Regularisation and Cutoff. (arXiv:2301.09522v1 [cs.CV])" — A proposal to strengthen the marriage between SNNs and event-based inputs by considering anytime optimal inference SNNs, or AOI-SNNs, which can terminate anytime during the inference to achieve optimal inference result.

Paper: http://arxiv.org/abs/2301.09522
Code: https://github.com/Dengyu-Wu/SNN-Regularisation-Cutoff

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An illustrative diagram showing…
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Fahim Farook

"OvarNet: Towards Open-vocabulary Object Attribute Recognition. (arXiv:2301.09506v1 [cs.CV])" — An examination of the problem of simultaneously detecting objects and inferring their visual attributes in an image, even for those with no manual annotations provided at the training stage, resembling an open-vocabulary scenario.

Paper: http://arxiv.org/abs/2301.09506

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The first row depicts the tasks…
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Fahim Farook

"RainDiffusion:When Unsupervised Learning Meets Diffusion Models for Real-world Image Deraining. (arXiv:2301.09430v1 [cs.CV])" — An unsupervised image deraining paradigm based on diffusion models which introduces stable training of unpaired real-world data instead of weak adversarial training.

Paper: http://arxiv.org/abs/2301.09430

#AI #CV #NewPaper #DeepLearning #MachineLearning

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Image deraining results on a re…
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Fahim Farook

"Computer Vision for a Camel-Vehicle Collision Mitigation System. (arXiv:2301.09339v1 [cs.CV])" — Testing different object detection models on the task of detecting camels on the road since in Saudi Arabia, due to the size of camels, camel-vehicle collisions result in a 25% fatality rate.

Paper: http://arxiv.org/abs/2301.09339

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Example images from the dataset…
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Fahim Farook

"Apples and Oranges? Assessing Image Quality over Content Recognition. (arXiv:2301.09190v1 [cs.CV])" — An investigation of whether image recognition and quality assessment can be performed in a multitask learning manner.

Paper: http://arxiv.org/abs/2301.09190

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Architecture of the proposed IQ…
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Fahim Farook

"Raw or Cooked? Object Detection on RAW Images. (arXiv:2301.08965v1 [cs.CV])" — An investigation of the hypothesis that the intermediate representation of visually pleasing images is sub-optimal for downstream computer vision tasks compared to the RAW image representation.

Paper: http://arxiv.org/abs/2301.08965

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Three qualitative examples from…
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Fahim Farook

"Domain-agnostic and Multi-level Evaluation of Generative Models" — A framework for multi-level performance evaluation of generative models which could be employed across different domains (images, text, graphs, molecules, etc.)

Paper: https://arxiv.org/abs/2301.08750

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Overview of the MPEGO framework…
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