activity
20152026
most citedGemini: A Family of Highly Capable Multimodal Models

843 citations · 1.2k across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Robostral Navigate

Abdelaziz Bounhar, Abhijeet Somani, Aditi Kabra +273

Deploying navigation systems at scale requires a recipe that minimizes sensor assumptions, generalizes across robot embodiments, and trains efficiently. Yet, today's best systems d…

cs.CL2024★ 297 cited

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Gemini Team, Petko Georgiev, Ving Ian Lei +1132

In this report, we introduce the Gemini 1.5 family of models, representing the next generation of highly compute-efficient multimodal models capable of recalling and reasoning over…

cs.CL2023★ 843 cited

Gemini: A Family of Highly Capable Multimodal Models

Gemini Team, Rohan Anil, Sebastian Borgeaud +1340

This report introduces a new family of multimodal models, Gemini, that exhibit remarkable capabilities across image, audio, video, and text understanding. The Gemini family consist…

cs.LG2022★ 3 cited

NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research

Jorg Bornschein, Alexandre Galashov, Ross Hemsley +17

A shared goal of several machine learning communities like continual learning, meta-learning and transfer learning, is to design algorithms and models that efficiently and robustly…

cs.SI2015★ 29 cited

Dawn of the Selfie Era: The Whos, Wheres, and Hows of Selfies on Instagram

Flávio Souza, Diego de Las Casas, Vinícius Flores +4

Online interactions are increasingly involving images, especially those containing human faces, which are naturally attention grabbing and more effective at conveying feelings than…