Atanov, Andrei

10 publications

ICLR 2026 How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks Rahul Ramachandran, Ali Garjani, Roman Bachmann, Andrei Atanov, Oğuzhan Fatih Kar, Amir Zamir

ICLR 2026 Multimodality as Supervision: Self-Supervised Specialization to the Test Environment via Multimodality Kunal Pratap Singh, Ali Garjani, Rishubh Singh, Muhammad Uzair Khattak, Efe Tarhan, Jason Toskov, Andrei Atanov, Oğuzhan Fatih Kar, Amir Zamir

TMLR 2025 Controlled Training Data Generation with Diffusion Models Teresa Yeo, Andrei Atanov, Harold Luc Benoit, Aleksandr Alekseev, Ruchira Ray, Kairui Wang, Amir Zamir

ICLR 2025 Large (Vision) Language Models Are Unsupervised In-Context Learners Artyom Gadetsky, Andrei Atanov, Yulun Jiang, Zhitong Gao, Ghazal Hosseini Mighan, Amir Zamir, Maria Brbic

ECCV 2024 How Far Can a 1-Pixel Camera Go? Solving Vision Tasks Using Photoreceptors and Computationally Designed Visual Morphology Andrei Atanov, Rishubh Singh, Jiawei Fu, Isabella Yu, Andrew Spielberg, Amir Zamir

ICLR 2024 Unraveling the Key Components of OOD Generalization via Diversification Harold Luc Benoit, Liangze Jiang, Andrei Atanov, Oguzhan Fatih Kar, Mattia Rigotti, Amir Zamir

CVPR 2022 3D Common Corruptions and Data Augmentation Oğuzhan Fatih Kar, Teresa Yeo, Andrei Atanov, Amir Zamir

ECCV 2022 MultiMAE: Multi-Modal Multi-Task Masked Autoencoders Roman Bachmann, David Mizrahi, Andrei Atanov, Amir Zamir

NeurIPS 2022 Task Discovery: Finding the Tasks That Neural Networks Generalize on Andrei Atanov, Andrei Filatov, Teresa Yeo, Ajay Sohmshetty, Amir Zamir

ICLR 2019 The Deep Weight Prior Andrei Atanov, Arsenii Ashukha, Kirill Struminsky, Dmitriy Vetrov, Max Welling