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
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
Detecting Cybersecurity Events from Noisy Short Text
S Yagcioglu, MS Seyfioglu, B Citamak, B Bardak, S Guldamlasioglu, ...
NAACL, 2019
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
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
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
Multi-modal Masked Autoencoders Learn Compositional Histopathological Representations
WO Ikezogwo, MS Seyfioglu, L Shapiro
arXiv preprint arXiv:2209.01534, 2022
Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos
MS Seyfioglu, WO Ikezogwo, F Ghezloo, R Krishna, L Shapiro
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
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
1 Training details
N Nuechterlein, B Li, MS Seyfioglu, S Mehta, PJ Cimino, L Shapiro
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