I'm thinking back to 2021 when I was writing my thesis in university and had to read academic research papers every day.
The authors (all Israeli) of the deep learning papers I had to read in 2021, shared this in June 2024.
I love the name for this: computer vision dazzle.
I love the name for this: computer vision dazzle.
WiFi DensePose: WiFi-based dense human pose estimation system through walls
https://github.com/ruvnet/wifi-densepose
#HackerNews #WiFiDensePose #WiFiTechnology #HumanPoseEstimation #Innovation #ComputerVision
Computer: There's a nice dog on the cat tree.
Me: Wait. What!? You sure?
Computer: Yes. I'm 93% sure.
Computer: There's a nice dog on the cat tree.
Me: Wait. What!? You sure?
Computer: Yes. I'm 93% sure.
Free Workshop this week! Tracking fast-moving objects in real time presents a unique CV challenge, especially on low-compute devices. Using OpenCV’s lightweight and low-latency capabilities in Unity with Meta Quest. You’ll learn how CV can run efficiently on wearables with local inference, enabling real-time tracking from a first-person POV and seamless integration into immersive environments.
Sign up here: https://www.eventbrite.com/e/real-time-object-tracking-with-opencv-and-camera-access-tickets-1706443551599?aff=opencvsocials #OpenCV #ComputerVision #MetaQuest #Wearables #VR #OpenSource
Free Workshop this week! Tracking fast-moving objects in real time presents a unique CV challenge, especially on low-compute devices. Using OpenCV’s lightweight and low-latency capabilities in Unity with Meta Quest. You’ll learn how CV can run efficiently on wearables with local inference, enabling real-time tracking from a first-person POV and seamless integration into immersive environments.
Sign up here: https://www.eventbrite.com/e/real-time-object-tracking-with-opencv-and-camera-access-tickets-1706443551599?aff=opencvsocials #OpenCV #ComputerVision #MetaQuest #Wearables #VR #OpenSource
A couple weeks ago @aeonofdiscord showed me "The Hitch-hiker's Guide to Artificial Intelligence" from 1986, a book by Richard Forsyth and Chris Naylor, which teaches readers the state-of-the-art in AI using... BASIC programming type-ins. There's some extremely minimal examples of expert systems, A* maze path search, alpha-beta game trees, etc. but one that made me curious was a "Perceptron image classifier" for machine vision. Image classification in 16kb? I had to see for myself if it would work, so I made a #Processing version. And, amazingly, it actually does - giving about 7 examples of a smile vs frown face, it can then distinguish between the two. Not bad for an idea from 1957!
When I was still at university studying computer science, I wrote my thesis on geometric deep learning. (This was in 2021, before the world had heard of ChatGPT or LLMs.)
Geometric deep learning is a subfield of machine learning that combines deep learning with physics. You study concepts from physics such as symmetry, and apply those learnings to deep learning.
Again, this had nothing to do with #GenAI or with what is nowadays meant by "AI".
That subfield was pioneered by Prof. Michael Bronstein, an Israeli scientist and professor at Oxford in the UK. He also was Head of Machine Learning at Twitter (before Musk bought it) and used this tech to fight misinformation on Twitter.
After October 7, 2023 happened, many researchers in the Computer Vision field showed their true colors, their zionist face. Many researchers in Computer Vision are Israeli.
When at a talk at the main computer vision conference (CVPR), the audience was confronted that much of the tech they (the people who "don't care about politics" and "just want to work on interesting problems") research and develop, is actively used by #Israel to establish apartheid and oppress the Palestinian people, many Israeli researchers threw around the now all too familiar rejections and accusations of anti-semitism.
Lots of these researchers are still, in 2025, on X/Twitter. Lots of them work at big-name companies such as Nvidia or other companies my followers might perhaps still respect.
I admit that before October 2023 I didn't know anything about Israel or Palestine or their conflict.
After I finished my thesis, graduated, and left academia, two things happened:
- ChatGPT was released and people started to confuse AI with "AI".
- Israel began a #genocide, which opened my eyes to what scum zionists are, no better than Third Reich Germans who wanted more "Lebensraum".
I no longer work in computer vision. I no longer work with AI. I just can't reconcile it with my morals and what I believe to be right, now that I learned a bit more about the world outside of my academic bubble that was "interesting problems that are fun to work on".
So much of CV is not for the betterment of humanity but for surveillance and oppression, and to further the genocidal zionist vision.
I'm thinking back to 2021 when I was writing my thesis in university and had to read academic research papers every day.
The authors (all Israeli) of the deep learning papers I had to read in 2021, shared this in June 2024.
🚀 Excited to share our new paper:
"DynTex: A real-time generative model of dynamic naturalistic luminance textures"
...now published in Journal of Vision!
🔹 Why it matters: Dynamic textures (e.g., fire, water, foliage) are everywhere, but modeling them in real-time has been a challenge. DynTex bridges this gap with a biologically inspired, efficient approach.
🔹 Key innovation: A generative model that captures the spatiotemporal statistics of natural scenes while running in real-time.
🔹 Applications: Computer vision, neuroscience, VR/AR, and more.📖
Read it here: https://doi.org/10.1167/jov.25.11.2
with Andrew Meso, Nikos Gekas, Jonathan Vacher, Pascal Mamassian and Guillaume Masson
More on: https://laurentperrinet.github.io/publication/meso-25/
#DynamicTextures#ComputationalNeuroscience#ComputerVision#GenerativeModels#OpenScience
