Mehmet Saygin Seyfioglu
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Deep convolutional autoencoder for radar-based classification of similar aided and unaided human activities
MS Seyfioğlu, AM Özbayoglu, SZ Gurbuz
IEEE Transactions on Aerospace and Electronic Systems 54 (4), 1709 - 1723, 2018
Deep neural network initialization methods for micro-Doppler classification with low training sample support
MS Seyfioğlu, SZ Gürbüz
IEEE Geoscience and Remote Sensing Letters 14 (12), 2462-2466, 2017
DNN transfer learning from diversified micro-Doppler for motion classification
MS Seyfioglu, B Erol, SZ Gurbuz, MG Amin
IEEE Transactions on Aerospace and Electronic Systems 55 (5), 2164-2180, 2018
Deep learning of micro-Doppler features for aided and unaided gait recognition
MS Seyfioğlu, SZ Gürbüz, AM Özbayoğlu, M Yüksel
2017 IEEE Radar Conference (RadarConf), 1125-1130, 2017
Diversified radar micro-Doppler simulations as training data for deep residual neural networks
MS Seyfioglu, B Erol, SZ Gurbuz, MG Amin
2018 IEEE radar Conference (radarConf18), 0612-0617, 2018
A hierarchical approach for sentiment analysis and categorization of Turkish written customer relationship management data
MS Seyfioğlu, MU Demirezen
2017 Federated Conference on Computer Science and Information Systems …, 2017
Detecting Cybersecurity Events from Noisy Short Text
S Yagcioglu, MS Seyfioglu, B Citamak, B Bardak, S Guldamlasioglu, ...
NAACL, 2019
Quilt-1m: One million image-text pairs for histopathology
W Ikezogwo, S Seyfioglu, F Ghezloo, D Geva, F Sheikh Mohammed, ...
Advances in Neural Information Processing Systems 36, 2024
Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer’s Disease
MS Seyfioğlu, Z Liu, P Kamath, S Gangolli, S Wang, T Grabowski, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2022
Data-driven cepstral and neural learning of features for robust micro-Doppler classification
B Erol, MS Seyfioglu, SZ Gurbuz, M Amin
Radar Sensor Technology XXII 10633, 163-170, 2018
MLIM: Vision-and-language model pre-training with masked language and image modeling
T Arici, MS Seyfioglu, T Neiman, Y Xu, S Train, T Chilimbi, B Zeng, I Tutar
arXiv preprint arXiv:2109.12178, 2021
Feature diverse hierarchical classification of human gait with CW radar for assisted living
MS Seyfioğlu, A Serinöz, M Özbayoğlu, SZ Gürbüz
IET Digital Library, 2017
Multi-modal Masked Autoencoders Learn Compositional Histopathological Representations
WO Ikezogwo, MS Seyfioglu, L Shapiro
arXiv preprint arXiv:2209.01534, 2022
DreamPaint: Few-Shot Inpainting of E-Commerce Items for Virtual Try-On without 3D Modeling
MS Seyfioglu, K Bouyarmane, S Kumar, A Tavanaei, IB Tutar
arXiv preprint arXiv:2305.01257, 2023
Leveraging Unlabeled Data for Glioma Molecular Subtype and Survival Prediction
N Nuechterlein, B Li, MS Seyfioglu, S Mehta, PJ Cimino, L Shapiro
Challenges in training DNNs for classification of radar micro-Doppler signatures
SZ Gurbuz, MG Amin, MS Seyfioglu, B Erol
Deep Neural Network Design for Radar Applications, 123, 2020
Diffuse to Choose: Enriching Image Conditioned Inpainting in Latent Diffusion Models for Virtual Try-All
MS Seyfioglu, K Bouyarmane, S Kumar, A Tavanaei, IB Tutar
arXiv preprint arXiv:2401.13795, 2024
Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos
MS Seyfioglu, WO Ikezogwo, F Ghezloo, R Krishna, L Shapiro
arXiv preprint arXiv:2312.04746, 2023
1 Training details
N Nuechterlein, B Li, MS Seyfioglu, S Mehta, PJ Cimino, L Shapiro
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