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ORCIDErdem Akagündüz
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2020 – today
- 2024
[j10]Irem Ülkü
, Ö. Özgür Tanriöver, Erdem Akagündüz:
LoRA-NIR: Low-Rank Adaptation of Vision Transformers for Remote Sensing With Near-Infrared Imagery. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)- [j9]Kevser Irem Danaci, Erdem Akagündüz:
A survey on infrared image & video sets. Multim. Tools Appl. 83(6): 16485-16523 (2024) - [c20]Övgü Özdemir, Erdem Akagündüz:
Enhancing Visual Question Answering through Question-Driven Image Captions as Prompts. CVPR Workshops 2024: 1562-1571 - [c19]Ömer Faruk Kürklü, Erdem Akagündüz:
Enhancing Address Data Integrity using Transformer-Based Language Models. SIU 2024: 1-4 - [i18]Aytekin Erdogan, Erdem Akagündüz:
FuseFormer: A Transformer for Visual and Thermal Image Fusion. CoRR abs/2402.00971 (2024) - [i17]Ümit Mert Çaglar, Baris Yilmaz, Melek Türkmen, Erdem Akagündüz, Salih Tileylioglu:
Exploring Challenges in Deep Learning of Single-Station Ground Motion Records. CoRR abs/2403.07569 (2024) - [i16]Övgü Özdemir, Erdem Akagündüz:
Enhancing Visual Question Answering through Question-Driven Image Captions as Prompts. CoRR abs/2404.08589 (2024) - [i15]Engin Uzun, Erdem Akagündüz:
How to Augment for Atmospheric Turbulence Effects on Thermal Adapted Object Detection Models? CoRR abs/2405.06383 (2024) - [i14]Irem Ülkü, Ö. Özgür Tanriöver, Erdem Akagündüz:
Near-Infrared and Low-Rank Adaptation of Vision Transformers in Remote Sensing. CoRR abs/2405.17901 (2024) - [i13]Burak Sevsay, Erdem Akagündüz:
Infrared Domain Adaptation with Zero-Shot Quantization. CoRR abs/2408.13925 (2024) - [i12]Baris Yilmaz, Melek Türkmen, Sanem Meral, Erdem Akagündüz, Salih Tileylioglu:
Deep Learning-based Average Shear Wave Velocity Prediction using Accelerometer Records. CoRR abs/2408.14962 (2024) - 2023
- [i11]Abbas Türkoglu, Erdem Akagündüz:
EANet: Enhanced Attribute-based RGBT Tracker Network. CoRR abs/2307.01893 (2023) - [i10]Utku Mert Topcuoglu, Erdem Akagündüz:
Local Masking Meets Progressive Freezing: Crafting Efficient Vision Transformers for Self-Supervised Learning. CoRR abs/2312.02194 (2023) - 2022
- [j8]Irem Ülkü, Erdem Akagündüz:
A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D Images. Appl. Artif. Intell. 36(1) (2022) - [j7]Irem Ülkü, Erdem Akagündüz, Pedram Ghamisi:
Deep Semantic Segmentation of Trees Using Multispectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 7589-7604 (2022) - [c18]Engin Uzun, Ahmet Anil Dursun, Erdem Akagündüz:
Augmentation of Atmospheric Turbulence Effects on Thermal Adapted Object Detection Models. CVPR Workshops 2022: 240-247 - [c17]Gülin Tüfekci, Alper Kayabasi, Erdem Akagündüz, Ilkay Ulusoy:
Detecting Driver Drowsiness as an Anomaly Using LSTM Autoencoders. ECCV Workshops (6) 2022: 549-559 - [i9]Kevser Irem Danaci, Erdem Akagündüz:
A Survey on Infrared Image and Video Sets. CoRR abs/2203.08581 (2022) - [i8]Engin Uzun, Ahmet Anil Dursun, Erdem Akagündüz:
Augmentation of Atmospheric Turbulence Effects on Thermal Adapted Object Detection Models. CoRR abs/2204.08745 (2022) - [i7]Fatih Cagatay Akyon, Erdem Akagündüz, Sinan Onur Altinuc, Alptekin Temizel:
Sequence Models for Drone vs Bird Classification. CoRR abs/2207.10409 (2022) - [i6]Gülin Tüfekci, Alper Kayabasi, Erdem Akagündüz, Ilkay Ulusoy:
Detecting Driver Drowsiness as an Anomaly Using LSTM Autoencoders. CoRR abs/2209.05269 (2022) - 2021
- [j6]Erdem Akagündüz, Oguzhan Çifdalöz:
Dynamical system parameter identification using deep recurrent cell networks. Neural Comput. Appl. 33(23): 16745-16757 (2021) - [c16]Erhan Akan, Erdem Akagündüz, Ibrahim Baran Uslu:
A Data Collection System Design for Hand Gestures. INISTA 2021: 1-6 - [i5]Erdem Akagündüz, Oguzhan Çifdalöz:
Dynamical System Parameter Identification using Deep Recurrent Cell Networks. CoRR abs/2107.02427 (2021) - 2020
- [j5]H. Seçkin Demir, Erdem Akagündüz:
Filter design for small target detection on infrared imagery using normalized-cross-correlation layer. Turkish J. Electr. Eng. Comput. Sci. 28(1): 302-317 (2020) - [j4]Erdem Akagündüz, Adrian G. Bors, Karla K. Evans:
Defining Image Memorability Using the Visual Memory Schema. IEEE Trans. Pattern Anal. Mach. Intell. 42(9): 2165-2178 (2020) - [c15]Melis Cikis, Salih Tileyoglu, Erdem Akagündüz:
Representing Earthquake Accelerogram Records for CNN Utilization. SIU 2020: 1-4 - [c14]Engin Uzun, Tolga Aksoy, Erdem Akagündüz:
Infrared Target Detection using Shallow CNNs. SIU 2020: 1-4 - [i4]Alper Kaplan, Erdem Akagündüz:
A Hybrid Framework for Matching Printing Design Files to Product Photos. CoRR abs/2006.05355 (2020) - [i3]H. Seçkin Demir, Erdem Akagündüz:
Filter design for small target detection on infrared imagery using normalized-cross-correlation layer. CoRR abs/2006.08162 (2020)
2010 – 2019
- 2019
- [c13]Irem Ülkü, Panagiotis Barmpoutis, Tania Stathaki, Erdem Akagündüz:
Comparison of single channel indices for U-Net based segmentation of vegetation in satellite images. ICMV 2019: 1143319 - [c12]Engin Uzun, Erdem Akagündüz:
An Analysis on the Effect of Skip Connections in Fully Convolutional Networks for License Plate Localization. SIU 2019: 1-4 - [i2]Erdem Akagündüz, Adrian G. Bors, Karla K. Evans:
Defining Image Memorability using the Visual Memory Schema. CoRR abs/1903.02056 (2019) - [i1]Irem Ülkü, Erdem Akagündüz:
A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D images. CoRR abs/1912.10230 (2019) - 2017
- [j3]Erdem Akagündüz, Muzaffer Aslan, Abdulkadir Sengür, Haibo Wang, Melih Cevdet Ince:
Silhouette Orientation Volumes for Efficient Fall Detection in Depth Videos. IEEE J. Biomed. Health Informatics 21(3): 756-763 (2017) - 2015
- [j2]Erdem Akagündüz:
Shape recognition using orientational and morphological scale-spaces of curvatures. IET Comput. Vis. 9(5): 750-757 (2015) - [c11]Erhan Gundogdu, Huseyin Ozkan, H. Seckin Demir, Hamza Ergezer, Erdem Akagündüz, S. Kubilay Pakin:
Comparison of infrared and visible imagery for object tracking: Toward trackers with superior IR performance. CVPR Workshops 2015: 1-9 - [c10]H. Seckin Demir, Erdem Akagündüz, S. Kubilay Pakin:
Vessel classification on UAVs using inertial data and IR imagery. SIU 2015: 499-502 - 2013
- [c9]Erdem Akagündüz:
Scale invariant sillhouette features. SIU 2013: 1-4 - 2012
- [c8]Cengiz Erbas, Fulya Tuncer Cetin, Burcu Yilmaz, Erdem Akagündüz, Yildiray Kabak, Aykut Bulca:
Open and Interoperable Maritime Surveillance Framework Set to Improve Sea-Borders Control. Future Security 2012: 359-362 - [c7]L. Murat Gevrekci, Mehmet Umut Demircin, Erdem Akagündüz:
Real-time image registration. SIU 2012: 1-4 - 2011
- [b1]Erdem Akagündüz:
3D object recognition using scale space of curvatures ; Eğrilik çlçek uzayı kullanarak 3D nesne tanıma. Middle East Technical University, Çankaya, Ankara, Turkey, 2011 - [j1]Ilkay Ulusoy, Erdem Akagündüz, Murat Yirci:
Anatomical and dynamic volume spline model applied to facial soft tissue. Comput. Animat. Virtual Worlds 22(6): 543-554 (2011)
2000 – 2009
- 2009
- [c6]Erdem Akagündüz, Ülkay Ulusoy:
Scale and orientation invariant 3D interest point extraction using HK curvatures. ICCV Workshops 2009: 697-702 - [c5]Erdem Akagündüz, Omer Eskizara, Ilkay Ulusoy:
Scale-space approach for the comparison of HK and SC curvature descriptions as applied to object recognition. ICIP 2009: 413-416 - 2008
- [c4]Erdem Akagündüz, Arzu Erener, Ilkay Ulusoy, H. Sebnem Düzgün:
Deliniation of Slope Units based on Scale and Resolution Invariant 3D Curvature Extraction. IGARSS (3) 2008: 581-584 - 2007
- [c3]Erdem Akagündüz, Ilkay Ulusoy:
Extraction of 3D Transform and Scale Invariant Patches from Range Scans. CVPR 2007 - [c2]Erdem Akagündüz, Ilkay Ulusoy:
3D Object Representation Using Transform and Scale Invariant 3D Features. ICCV 2007: 1-8 - 2004
- [c1]Erdem Akagündüz, Ugur Halici:
Animation of Lip Motions and Facial Expressions using 3D Homeomorphic Models. ICVGIP 2004: 107-112
Coauthor Index
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last updated on 2024-10-11 17:30 CEST by the dblp team
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