CLIPasso: Semantically-Aware Object Sketching abs: arxiv.org/abs/2202.05822 project page: clipasso.github.io/clipasso/

This is a "3D-diffusion" video created using a combination of four different AI models🤯 Welcome to the metaverse! 🌌😎 There's such incredible potential here that I want to explain how I made this, so here's a thread! (1/n)

#OpenAI is planning to stop #ChatGPT users from making social media bots and cheating on homework by "watermarking" outputs. How well could this really work? Here's just 23 words from a 1.3B parameter watermarked LLM. We detected it with 99.999999999994% confidence. Here's how 🧵

GPT-4 "discovered" the same sorting algorithm as AlphaDev by removing "mov S P". No RL needed. Can I publish this on nature? here are the prompts I used chat.openai.com/share/95693df4… (excuse my idiotic typos, but gpt4 doesn't mind anyways)

I-JEPA: Efficient method for Self-Supervised Learning of image features. No need for data augmentation, just masking. Joint embedding predictive architecture, not generative. And it's open source, of course. Blog: ai.facebook.com/blog/yann-lecu… Paper: arxiv.org/abs/2301.08243 Code &

DINOv2, the cutting-edge computer vision model trained through self-supervised learning to produce universal features, is now available under the Apache 2.0 license. Onward with open source AI.

I remember during my PhD, I spent many many hours reviewing every single image in my datasets, while I just used an off-the-shelf GAN architecture for my models because I observed that dataset quality >>>> model arch

🆕 We have updated our preprint in bioRxiv 📰 It explains better the current state of #BiaPy ⛴️ while describing as well its limitations 🤗 Hope you like it! "BiaPy: Accessible deep learning on bioimages" biorxiv.org/content/10.110…

🧪🔬 Are you at #SPAOM2024 ? Here you have a list of the contributions from my lab (all in Day 2 and 3)👇 1⃣ Tomorrow at 10:15am (Sala Toledo) my PhD student Aitor González-Marfil will present his work "Zero-Shot Object Detection with Foundational Models: A Similarity-Based Approach"

#SPAOM2024 attendants don't miss Aitor González-Marfil's talk on #ZeroShot #segmentation 👇 and catching him up later!

A few months ago, I had the opportunity to present my project, DINOSim, at #SPAOM2024. It was an incredible experience where I had the opportunity to meet and share ideas with many amazing people.

🧬 BiaPy was built by an international collaboration between researchers from UPV/EHU, DIPC, Biofisica, @UC3M, ScuLab, LOB and others — led by Ignacio Arganda-Carreras and Arrate Munoz Barrutia. A huge thanks to everyone who contributed! 🌟 (5/7)

while doing ML research i spend a disproportionately large amount of time looking at this specific figure