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Mehmet Saygin Seyfioglu
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2020 – today
- 2024
- [c10]Mehmet Saygin Seyfioglu, Wisdom Oluchi Ikezogwo, Fatemeh Ghezloo, Ranjay Krishna, Linda G. Shapiro:
Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos. CVPR 2024: 13183-13192 - [i9]Mehmet Saygin Seyfioglu, Karim Bouyarmane, Suren Kumar, Amir Tavanaei, Ismail B. Tutar:
Diffuse to Choose: Enriching Image Conditioned Inpainting in Latent Diffusion Models for Virtual Try-All. CoRR abs/2401.13795 (2024) - 2023
- [j4]Ali Murat Demirtas
, Mehmet Saygin Seyfioglu, Irem Bor-Yaliniz
Deep Learning-Based Autonomous UAV-BSs for NGWNs: Overview and a Novel Architecture. IEEE Consumer Electron. Mag. 12(1): 32-42 (2023) - [c9]Wisdom Oluchi Ikezogwo, Mehmet Saygin Seyfioglu, Fatemeh Ghezloo, Dylan Stefan Chan Geva, Fatwir Sheikh Mohammed, Pavan Kumar Anand, Ranjay Krishna, Linda G. Shapiro:
Quilt-1M: One Million Image-Text Pairs for Histopathology. NeurIPS 2023 - [i8]Mehmet Saygin Seyfioglu, Karim Bouyarmane, Suren Kumar, Amir Tavanaei, Ismail B. Tutar:
DreamPaint: Few-Shot Inpainting of E-Commerce Items for Virtual Try-On without 3D Modeling. CoRR abs/2305.01257 (2023) - [i7]Wisdom Oluchi Ikezogwo, Mehmet Saygin Seyfioglu, Fatemeh Ghezloo, Dylan Stefan Chan Geva, Fatwir Sheikh Mohammed, Pavan Kumar Anand, Ranjay Krishna, Linda G. Shapiro:
Quilt-1M: One Million Image-Text Pairs for Histopathology. CoRR abs/2306.11207 (2023) - [i6]Mehmet Saygin Seyfioglu, Wisdom Oluchi Ikezogwo, Fatemeh Ghezloo, Ranjay Krishna, Linda G. Shapiro:
Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos. CoRR abs/2312.04746 (2023) - 2022
- [c8]Mehmet Saygin Seyfioglu, Zixuan Liu, Pranav Kamath, Sadjyot Gangolli, Sheng Wang, Thomas J. Grabowski, Linda G. Shapiro:
Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer's Disease. MICCAI (1) 2022: 461-470 - [i5]Mehmet Saygin Seyfioglu, Zixuan Liu, Pranav Kamath, Sadjyot Gangolli, Sheng Wang, Thomas J. Grabowski, Linda G. Shapiro:
Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer's Disease. CoRR abs/2207.04574 (2022) - [i4]Wisdom Oluchi Ikezogwo, Mehmet Saygin Seyfioglu, Linda G. Shapiro:
Multi-modal Masked Autoencoders Learn Compositional Histopathological Representations. CoRR abs/2209.01534 (2022) - 2021
- [i3]Ali Murat Demirtas, Mehmet Saygin Seyfioglu, Irem Bor-Yaliniz, Bülent Tavli, Halim Yanikomeroglu:
Autonomous UAV Base Stations for Next Generation Wireless Networks: A Deep Learning Approach. CoRR abs/2107.13869 (2021) - [i2]Tarik Arici, Mehmet Saygin Seyfioglu, Tal Neiman, Yi Xu, Son Tran, Trishul Chilimbi, Belinda Zeng, Ismail B. Tutar:
MLIM: Vision-and-Language Model Pre-training with Masked Language and Image Modeling. CoRR abs/2109.12178 (2021) - 2020
- [c7]Nicholas Nuechterlein, Beibin Li, Mehmet Saygin Seyfioglu, Sachin Mehta, Patrick J. Cimino, Linda G. Shapiro:
Leveraging Unlabeled Data for Glioma Molecular Subtype and Survival Prediction. ICPR 2020: 7149-7156
2010 – 2019
- 2019
- [j3]Mehmet Saygin Seyfioglu, Baris Erol
DNN Transfer Learning From Diversified Micro-Doppler for Motion Classification. IEEE Trans. Aerosp. Electron. Syst. 55(5): 2164-2180 (2019) - [c6]Semih Yagcioglu, Mehmet Saygin Seyfioglu, Begum Citamak, Batuhan Bardak, Seren Guldamlasioglu, Azmi Yuksel, Emin Islam Tatli:
Detecting Cybersecurity Events from Noisy Short Text. NAACL-HLT (1) 2019: 1366-1372 - [i1]Semih Yagcioglu, Mehmet Saygin Seyfioglu, Begum Citamak, Batuhan Bardak, Seren Guldamlasioglu, Azmi Yuksel, Emin Islam Tatli:
Detecting Cybersecurity Events from Noisy Short Text. CoRR abs/1904.05054 (2019) - 2018
- [j2]Mehmet Saygin Seyfioglu, Ahmet Murat Özbayoglu
Deep convolutional autoencoder for radar-based classification of similar aided and unaided human activities. IEEE Trans. Aerosp. Electron. Syst. 54(4): 1709-1723 (2018) - 2017
- [j1]Mehmet Saygin Seyfioglu, Sevgi Zubeyde Gurbuz
Deep Neural Network Initialization Methods for Micro-Doppler Classification With Low Training Sample Support. IEEE Geosci. Remote. Sens. Lett. 14(12): 2462-2466 (2017) - [c5]Mehmet Saygin Seyfioglu, Mustafa Umut Demirezen
A Hierarchical Approach for Sentiment Analysis and Categorization of Turkish Written Customer Relationship Management Data. FedCSIS 2017: 361-365 - 2015
- [c4]Mehmet Saygin Seyfioglu, Seyma Bayindir, Sevgi Zubeyde Gurbuz
Automatic spectral signature extraction for hyperspectral target detection. IGARSS 2015: 4452-4455 - 2014
- [c3]Mehmet Saygin Seyfioglu, Sevgi Zubeyde Gurbuz
Airborne radar clutter simulation using hyperspectral and LiDAR imagery. IGARSS 2014: 2938-2941 - [c2]Sevgi Zubeyde Gurbuz
Target detection and ranging with the 2.4 GHz MIT Coffee Can radar. SIU 2014: 1450-1453 - [c1]Mustafa Teke
Optimal pansharpening of RASAT satellite imagery. SIU 2014: 1967-1970
Coauthor Index
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