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Cemil Zalluhoglu
Cemil Zalluhoglu
Assistant Professor of Computer Science, Hacettepe University
Verified email at cs.hacettepe.edu.tr - Homepage
Title
Cited by
Cited by
Year
Collective Sports: A multi-task dataset for collective activity recognition
C Zalluhoglu, N Ikizler-Cinbis
Image and Vision Computing 94, 103870, 2020
302020
Facial descriptors for human interaction recognition in still images
G Tanisik, C Zalluhoglu, N Ikizler-Cinbis
Pattern Recognition Letters 73, 44-51, 2016
272016
Region based multi-stream convolutional neural networks for collective activity recognition
C Zalluhoglu, N Ikizler-Cinbis
Journal of Visual Communication and Image Representation 60, 170-179, 2019
242019
Using deep multiple instance learning for action recognition in still images
C Bas, C Zalluhoglu, N Ikizler-Cinbis
2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017
72017
Multi-stream pose convolutional neural networks for human interaction recognition in images
G Tanisik, C Zalluhoglu, N Ikizler-Cinbis
Signal Processing: Image Communication 95, 116265, 2021
62021
Lightweight and attention-based CNN architecture for wildfire detection using UAV vision data
RA Aral, C Zalluhoglu, E Akcapinar Sezer
International Journal of Remote Sensing 44 (18), 5768-5787, 2023
12023
Comparison of 2D and 3D attention mechanisms for human (collective) activity recognition
C Zalluhoglu, N Ikizler-Cinbis
Signal, Image and Video Processing 16, 865-872, 2022
12022
Region-Based Semi-Two-Stream Convolutional Neural Networks for Pressure Ulcer Recognition
C Zalluhoğlu, D Akdoğan, D Karakaya, MS Güzel, MM Ülgü, K Ardalı, ...
Journal of Imaging Informatics in Medicine, 1-13, 2024
2024
TR-BI-RADS: a novel dataset for BI-RADS based mammography classification
MM Ülgü, C Zalluhoglu, S Birinci, Y Yarbay, EA Sezer
Neural Computing and Applications 36, 3699–3709, 2024
2024
Wildfire Classification Using Infrared Unmanned Aerial Vehicle Data with Convolutional Neural Networks
RA Aral, C Zalluhoğlu, EA Sezer
2023 International Conference on Smart Applications, Communications and …, 2023
2023
A Review of COVID-19 Diagnostic Approaches in Computer Vision
C Zalluhoğlu
Current Medical Imaging 19 (7), 695-712, 2023
2023
Covid-19: Automatic Detection from X-Ray Images Using Attention Mechanisms
C Zalluhoğlu, C Şenokur
4th International Conference on Artificial Intelligence and Applied …, 2023
2023
Basketbol Hakemi El İşaretlerinin Nesne Tanıma Yöntemleri Kullanılarak Sınıflandırılması
O Biçer, C Zalluhoğlu
International Conference on Recent Academic Studies 1, 76-82, 2023
2023
Makine Öğrenmesi Yöntemleri Kullanarak Havayolları Birim Gelir Tahminleme
BN Atalay, C Zalluhoğlu
International Conference on Engineering, Natural and Social Sciences 1, 292-296, 2023
2023
Feature-Oriented Remaining Useful Life Prediction of Aircraft Engines Based on Sensor Data
K Girgin, C ZALLUHOĞLU
Avrupa Bilim ve Teknoloji Dergisi, 2022
2022
Dijital Çine-Tepecik Projesi Kapsamında Seramik Buluntuları Üzerindeki Uygulamalar ve Değerlendirme
EA Sezer, C Zalluhoğlu, TK Kıyak
Arkeoloji ve Sanat, 2021
2021
An evolutionary-based image classification approach through facial attributes
S YILMAZ, C Zalluhoglu
Turkish Journal of Electrical Engineering & Computer Sciences 29 (2), 860-874, 2021
2021
Analysis of an Image Recognition Method on Group Activities
C Zalluhoglu
Avrupa Bilim ve Teknoloji Dergisi, 68-72, 2020
2020
Deep learning architectures for collective activity recognition
C Zalluhoğlu
Fen Bilimleri Enstitüsü, 2019
2019
Counting People in Crowded Scenes via Detection and Regression Fusion
C Zalluhoglu, N Ikizler-Cinbis
Image Analysis and Recognition: 13th International Conference, ICIAR 2016 …, 2016
2016
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Articles 1–20