Alessandro Conti

Introducing Phoenix-4, the most advanced real-time human rendering model ever built. Its the first real-time model to render every pixel at runtime, generate and control emotional states, listen actively, and actually behave the way humans do in conversation.

What does it really mean for two videos to be similar? At #NeurIPS2025, we’ll present ConViS-Bench: Estimating Video Similarity Through Semantic Concepts. Stop by our poster for a chat! 📍Exhibit Hall C,D,E — Poster N.4618 🕒 Thu, Dec 4, 2025 • 11:00 AM – 2:00 PM PST

Dublin, here we come! 🇮🇪 Our paper "Dynamic Scoring with Enhanced Semantics for Training-Free Human-Object Interaction Detection" has been accepted to #ACMMM2025

Thanks to the greatest @massi_manc, @DonkeyShot21, @YimingWang107, @paolorotaphd, and @eliricci_ for their support — couldn’t have done it without you! 🙏🏻 📄 Abstract: arxiv.org/abs/2503.21851 💻 Code: github.com/altndrr/lmms-o…

We try prompting + reasoning strategies to flip wrong → right and generic → specific. They help, but it’s clear that open-world classification is still very challenging for today’s LMMs.

What if we stopped treating image classification like a multiple-choice quiz… …and just asked the model: "What’s in this image?" Our paper on open-world classification with LMMs got into #ICCV2025! 🎉🌺 Let’s talk failures, insights, and flipping mistakes 👇

I also got a minimalistic reviewer. Guess the rating

@paolorotaphd @cooltechtipz This is different one but will add it to the list of tricks for vision conferences

@cooltechtipz I've seen it somewhere @altndrr

Try this trick with your friends.

Our T3AL 🦆 poster has been picked by @CVPR daily! Come by and talk to @bliberatori_ @altndrr @paolorotaphd me, and @eliricci_ in the afternoon session!

This is incredible🤯 At test-time, ONE unlabelled video is enough to teach CLIP-like models to localize actions in time despite their lack of prior knowledge of the time domain. More on our @CVPR paper below 👇

Glad to announce that the 1st Workshop on Green Foundation Models (GreenFOMO) is happening @eccvconf Milan, 2024🥳 Can't wait to see what impact our community can make towards a green world 🌏and an inclusive AI💚! Official website + CfP coming soon...Stay tuned😉

@chrisalbon this is a good one, also quite recent arxiv.org/abs/2403.02041…

Anyone have a favorite ML paper that uses Wikipedia in some way? I am working on a project.

@udoooom @CVPR @naoto_inoue_ @ktrk115 @kotymg おめでとう!

I'm honored that our paper has been accepted to CVPR2024!! @CVPR (w/ @naoto_inoue_ @ktrk115 @kotymg Aizawa We present RALF, Retrieval-Augmented Layout TransFormer, i.e. RAG + Transformer + Content-aware Layout Generation. 📜　arxiv.org/abs/2311.13602 🌐 udonda.github.io/RALF/

A List of Predictions Made in 1924 About 2024 🧵

Cool universal classifier that leverage a knowledge database. You take a pic and get a class, without having defined the classes in advance.

@giffmana Currently at NeurIPS and missing that feeling and coding in general 👀

Not at NeurIPS and missing out on so much, but... nothing beats lone heads-down coding in my favourite spot.

Card design by @taapstudio, check out their Instagram profile (instagram.com/taapstudio)! 🔥

Do you know the names of these animals? 🦆🐑🐖 Tomorrow morning at #NeurIPS (poster #201), we will gift these cards and more to try the demo of our method CaSED! 🔥 Try it now (altndrr-vic.hf.space) and classify images with CLIP without a predefined list of class names! 🚀