A Performance Analysis on the Optimal Number of Measurements for Coded Compressive Imaging. - Oguzhan Fatih Kar; Alper Gungor; Serhat Ilbey; Can Baris Top; H. Emre Guven (GlobalSIP, 2018)

A Matrix-Free Reconstruction Method for Compressive Focal Plane Array Imaging. - Alper Güngör; Oguzhan Fatih Kar; H. Emre Güven (ICIP, 2018)

An adaptive relaxed Alternating Direction Method of Multipliers for compressive focal plane array imaging. - Oguzhan Fatih Kar; Alper Gungor; H. Emre Guven (SIU, 2018)

Effect of different sparsity priors on compressive photon-sieve spectral imaging. - Oguzhan Fatih Kar; Figen S. Oktem; Ulas Kamaci; Fatih Cagatay Akyon (SIU, 2018)

Learning Based Regularization for Spatial Multiplexing Cameras. - Oguzhan Fatih Kar; Alper Güngör; H. Emre Güven (GlobalSIP, 2019)

Real-time Compressive Video Reconstruction for Spatial Multiplexing Cameras. - Oguzhan Fatih Kar; Alper Güngör; H. Emre Güven (GlobalSIP, 2019)

A Transform Learning Based Deconvolution Technique with Super-Resolution and Microscanning Applications. - Alper Güngör; Oguzhan Fatih Kar (ICIP, 2019)

Compressive Focal Plane Array Imager Reconstruction Using Learning Based Regularization. - Oguzhan Fatih Kar; Alper Güngör; H. Emre Güven (SIU, 2019)

Robust Learning Through Cross-Task Consistency. - Amir R. Zamir; Alexander Sax; Teresa Yeo; Oguzhan Fatih Kar; Nikhil Cheerla; Rohan Suri; Zhangjie Cao; Jitendra Malik; Leonidas J. Guibas (CoRR, 2020)

Robustness via Cross-Domain Ensembles. - Teresa Yeo; Oguzhan Fatih Kar; Amir Zamir (ICCV, 2021)

High-Resolution Multi-Spectral Imaging With Diffractive Lenses and Learned Reconstruction. - Figen S. Oktem; Oguzhan Fatih Kar; Can Deniz Bezek; Farzad Kamalabadi (IEEE Trans. Computational Imaging, 2021)

3D Common Corruptions and Data Augmentation. - Oguzhan Fatih Kar; Teresa Yeo; Andrei Atanov; Amir Zamir (CVPR, 2022)

Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback. - Teresa Yeo; Oguzhan Fatih Kar; Zahra Sodagar; Amir Zamir (ICCV, 2023)

4M: Massively Multimodal Masked Modeling. - David Mizrahi; Roman Bachmann 001; Oguzhan Fatih Kar; Teresa Yeo; Mingfei Gao; Afshin Dehghan; Amir Zamir (NeurIPS, 2023)

BRAVE: Broadening the Visual Encoding of Vision-Language Models. - Oguzhan Fatih Kar; Alessio Tonioni; Petra Poklukar; Achin Kulshrestha; Amir Zamir; Federico Tombari (ECCV (16), 2024)

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

4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities. - Roman Bachmann 001; Oguzhan Fatih Kar; David Mizrahi; Ali Garjani; Mingfei Gao; David Griffiths; Jiaming Hu; Afshin Dehghan; Amir Zamir (NeurIPS, 2024)

FlexTok: Resampling Images into 1D Token Sequences of Flexible Length. - Roman Bachmann 001; Jesse Allardice; David Mizrahi; Enrico Fini; Oguzhan Fatih Kar; Elmira Amirloo; Alaaeldin El-Nouby; Amir Zamir; Afshin Dehghan (CoRR, 2025)

How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks. - Rahul Ramachandran; Ali Garjani; Roman Bachmann 001; Andrei Atanov; Oguzhan Fatih Kar; Amir Zamir (CoRR, 2025)