Mehmet Saygin Seyfioglu

Mehmet Saygin Seyfioglu

University of Washington

H-index: 8

North America-United States

About Mehmet Saygin Seyfioglu

Mehmet Saygin Seyfioglu, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at University of Washington, specializes in the field of Self-supervised Learning, Medical Image Analysis, Vision and Language.

His recent articles reflect a diverse array of research interests and contributions to the field:

Quilt-1m: One million image-text pairs for histopathology

Diffuse to Choose: Enriching Image Conditioned Inpainting in Latent Diffusion Models for Virtual Try-All

Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos

Dreampaint: Few-shot inpainting of e-commerce items for virtual try-on without 3d modeling

Brain-aware replacements for supervised contrastive learning in detection of Alzheimer’s disease

Multi-modal Masked Autoencoders Learn Compositional Histopathological Representations

MLIM: Vision-and-language model pre-training with masked language and image modeling

Leveraging Unlabeled Data for Glioma Molecular Subtype and Survival Prediction

Mehmet Saygin Seyfioglu Information

University

Position

___

Citations(all)

757

Citations(since 2020)

699

Cited By

342

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

University of Washington

Google Scholar

View Google Scholar Profile

Mehmet Saygin Seyfioglu Skills & Research Interests

Self-supervised Learning

Medical Image Analysis

Vision and Language

Top articles of Mehmet Saygin Seyfioglu

Title

Journal

Author(s)

Publication Date

Quilt-1m: One million image-text pairs for histopathology

Advances in Neural Information Processing Systems

Wisdom Ikezogwo

Saygin Seyfioglu

Fatemeh Ghezloo

Dylan Geva

Fatwir Sheikh Mohammed

...

2024/2/13

Diffuse to Choose: Enriching Image Conditioned Inpainting in Latent Diffusion Models for Virtual Try-All

arXiv preprint arXiv:2401.13795

Mehmet Saygin Seyfioglu

Karim Bouyarmane

Suren Kumar

Amir Tavanaei

Ismail B Tutar

2024/1/24

Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos

arXiv preprint arXiv:2312.04746

Mehmet Saygin Seyfioglu

Wisdom O Ikezogwo

Fatemeh Ghezloo

Ranjay Krishna

Linda Shapiro

2023/12/7

Dreampaint: Few-shot inpainting of e-commerce items for virtual try-on without 3d modeling

arXiv preprint arXiv:2305.01257

Mehmet Saygin Seyfioglu

Karim Bouyarmane

Suren Kumar

Amir Tavanaei

Ismail B Tutar

2023/5/2

Brain-aware replacements for supervised contrastive learning in detection of Alzheimer’s disease

Mehmet Saygın Seyfioğlu

Zixuan Liu

Pranav Kamath

Sadjyot Gangolli

Sheng Wang

...

2022/9/15

Multi-modal Masked Autoencoders Learn Compositional Histopathological Representations

arXiv preprint arXiv:2209.01534

Wisdom Oluchi Ikezogwo

Mehmet Saygin Seyfioglu

Linda Shapiro

2022/9/4

MLIM: Vision-and-language model pre-training with masked language and image modeling

arXiv preprint arXiv:2109.12178

Tarik Arici

Mehmet Saygin Seyfioglu

Tal Neiman

Yi Xu

Son Train

...

2021/9/24

Leveraging Unlabeled Data for Glioma Molecular Subtype and Survival Prediction

Nicholas Nuechterlein

Beibin Li

Mehmet Saygin Seyfioğlu

Sachin Mehta

Patrick J Cimino

...

2021/1/10

Challenges in training DNNs for classification of radar micro-Doppler signatures

Deep Neural Network Design for Radar Applications

Sevgi Z Gurbuz

Moeness G Amin

Mehmet S Seyfioglu

Baris Erol

2020

See List of Professors in Mehmet Saygin Seyfioglu University(University of Washington)

Co-Authors

H-index: 61
Linda Shapiro

Linda Shapiro

University of Washington

H-index: 29
Ranjay Krishna

Ranjay Krishna

Stanford University

H-index: 5
Nicholas Nuechterlein

Nicholas Nuechterlein

University of Washington

H-index: 3
Fatemeh Ghezloo

Fatemeh Ghezloo

University of Washington

H-index: 3
Wisdom Ikezogwo

Wisdom Ikezogwo

Obafemi Awolowo University

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