no code implementations • 24 Jan 2024 • Mehmet Saygin Seyfioglu, Karim Bouyarmane, Suren Kumar, Amir Tavanaei, Ismail B. Tutar
As online shopping is growing, the ability for buyers to virtually visualize products in their settings-a phenomenon we define as "Virtual Try-All"-has become crucial.
1 code implementation • 7 Dec 2023 • Mehmet Saygin Seyfioglu, Wisdom O. Ikezogwo, Fatemeh Ghezloo, Ranjay Krishna, Linda Shapiro
Training multi-model models for histopathology requires instruction tuning datasets, which currently contain information for individual image patches, without a spatial grounding of the concepts within each patch and without a wider view of the WSI.
1 code implementation • NeurIPS 2023 • Wisdom Oluchi Ikezogwo, Mehmet Saygin Seyfioglu, Fatemeh Ghezloo, Dylan Stefan Chan Geva, Fatwir Sheikh Mohammed, Pavan Kumar Anand, Ranjay Krishna, Linda Shapiro
From YouTube, we curate QUILT: a large-scale vision-language dataset consisting of $802, 144$ image and text pairs.
1 code implementation • 2 May 2023 • Mehmet Saygin Seyfioglu, Karim Bouyarmane, Suren Kumar, Amir Tavanaei, Ismail B. Tutar
We introduce DreamPaint, a framework to intelligently inpaint any e-commerce product on any user-provided context image.
1 code implementation • 4 Sep 2022 • Wisdom Oluchi Ikezogwo, Mehmet Saygin Seyfioglu, Linda Shapiro
However, the domain shift between natural images and digital pathology images requires further research in designing MAE for patch-level WSIs.
no code implementations • 24 Sep 2021 • Tarik Arici, Mehmet Saygin Seyfioglu, Tal Neiman, Yi Xu, Son Train, Trishul Chilimbi, Belinda Zeng, Ismail Tutar
Vision-and-Language Pre-training (VLP) improves model performance for downstream tasks that require image and text inputs.
no code implementations • NAACL 2019 • Semih Yagcioglu, Mehmet Saygin Seyfioglu, Begum Citamak, Batuhan Bardak, Seren Guldamlasioglu, Azmi Yuksel, Emin Islam Tatli
In this study, we propose a method that leverages both domain-specific word embeddings and task-specific features to detect cyber security events from tweets.