Amir Bar* — accepted AI-conference papers

2024

EgoPet: Egomotion and Interaction Data from an Animal's Perspective

Amir Bar*, Arya Bakhtiar, Danny L Tran, Antonio Loquercio, Jathushan Rajasegaran, yann lecun +2

ECCV 2024poster

"Animals perceive the world to plan their actions and interact with other agents to accomplish complex tasks, demonstrating capabilities that are still unmatched by AI systems. To advance our understanding and reduce the gap between the capabilities of animals and AI systems, we introduce a dataset…

Cited by 4 Source ↗PDF ↗Scholar ↗

2024

Finding Visual Task Vectors

Alberto Hojel*, Yutong Bai, Trevor Darrell, Amir Globerson, Amir Bar*

ECCV 2024poster

"Visual Prompting is a technique for teaching models to perform a visual task via in-context examples, without any additional training. In this work, we analyze the activations of MAE-VQGAN, a recent Visual Prompting model [?], and find Task Vectors, activations that encode task-specific information…

Cited by 10 Source ↗PDF ↗code ↗Scholar ↗