
Aitor González-Marfil
@AAitorG
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PhD student | Deep Learning | Computer Vision | Biomedical Images
Joined February 2022
RT @kevinzhang25: while doing ML research i spend a disproportionately large amount of time looking at this specific figure .
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But there are no restrictions on its use! Feel free to experiment with other types of data and see what works for you. 🚀.
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DINOSim was created to provide a functional tool for environments with limited resources, little data, no labels, or no access to large model training, a common challenge in many biomedical labs.
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If you want to try DINOSim, we’ve developed an open-source Napari plugin! 🖥✨. 🔹 Easy segmentation: Just drag an image, click on an object, and you're done!. We’d love your feedback and contributions. Check it out!.🔗
github.com
This repository provides DINOSim, a method that leverages the DINOv2 foundation model for zero-shot object detection and segmentation in bioimage analysis. DINOSim uses pretrained DINOv2 embeddings...
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My first preprint is out!."DINOSim: Zero-Shot Object Detection and Semantic Segmentation on Electron Microscopy Images" 🔬✨. 🔗:
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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.
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RT @IgnacioArganda: 🧪🔬 Are you at #SPAOM2024 ? Here you have a list of the contributions from my lab (all in Day 2 and 3)👇. 1⃣ Tomorrow at….
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RT @gomez_mariscal: #SPAOM2024 attendants don't miss @AAitorG's talk on #ZeroShot #segmentation 👇 and catching him up later!.
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RT @BiaPyX: 🆕 We have updated our preprint in @biorxivpreprint 📰 It explains better the current state of #BiaPy ⛴️ while describing as well….
biorxiv.org
BiaPy is an open-source library and application that streamlines the use of common deep learning approaches for bioimage analysis. Designed to simplify technical complexities, it offers an intuitive...
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RT @iScienceLuvr: I remember during my PhD, . I spent many many hours reviewing every single image in my datasets, while I just used an off….
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RT @ylecun: I-JEPA: Efficient method for Self-Supervised Learning of image features. No need for data augmentation, just masking. Joint emb….
arxiv.org
This paper demonstrates an approach for learning highly semantic image representations without relying on hand-crafted data-augmentations. We introduce the Image-based Joint-Embedding Predictive...
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RT @DimitrisPapail: GPT-4 "discovered" the same sorting algorithm as AlphaDev by removing "mov S P". No RL needed. Can I publish this on n….
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RT @tomgoldsteincs: #OpenAI is planning to stop #ChatGPT users from making social media bots and cheating on homework by "watermarking" out….
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RT @xsteenbrugge: This is a "3D-diffusion" video created using a combination of four different AI models🤯. Welcome to the metaverse! 🌌😎. Th….
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RT @ak92501: CLIPasso: Semantically-Aware Object Sketching.abs: project page: https://t.co/….
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