Feature detection and matching towards augmented reality applications on mobile devices. - Erhan Gundogdu; A. Aydin Alatan (3DTV-Conference, 2012)

Nestle: Interest point extraction via nested circles. - Erhan Gundogdu; A. Aydin Alatan (SIU, 2012)

Comparison of infrared and visible imagery for object tracking: Toward trackers with superior IR performance. - Erhan Gundogdu; Huseyin Ozkan; H. Seckin Demir; Hamza Ergezer; Erdem Akagündüz; S. Kubilay Pakin (CVPR Workshops, 2015)

Multiple model adaptive visual tracking with correlation filters. - Gokhan Tanisik; Erhan Gundogdu (ICIP, 2015)

Fast geodesic saliency map for Infrared Imagery. - Erhan Gundogdu (SIU, 2015)

Bi-model visual tracking with correlation filters. - Gokhan Tanisik; Erhan Gundogdu (SIU, 2015)

MARVEL: A Large-Scale Image Dataset for Maritime Vessels. - Erhan Gundogdu; Berkan Solmaz; Veysel Yücesoy; Aykut Koç (ACCV (5), 2016)

Ensemble Of adaptive correlation filters for robust visual tracking. - Erhan Gundogdu; Huseyin Ozkan; A. Aydin Alatan (AVSS, 2016)

Evaluation of Feature Channels for Correlation-Filter-Based Visual Object Tracking in Infrared Spectrum. - Erhan Gundogdu; Aykut Koç; Berkan Solmaz; Riad I. Hammoud; A. Aydin Alatan (CVPR Workshops, 2016)

The Visual Object Tracking VOT2016 Challenge Results. - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Luka Cehovin; Tomás Vojír; Gustav Häger; Alan Lukezic; Gustavo Fernández; Abhinav Gupta 001; Alfredo Petrosino; et al. (ECCV Workshops (2), 2016)

Spatial windowing for correlation filter based visual tracking. - Erhan Gundogdu; A. Aydin Alatan (ICIP, 2016)

Object classification in infrared images using deep representations. - Erhan Gundogdu; Aykut Koç; A. Aydin Alatan (ICIP, 2016)

Infrared object classification using decision tree based deep neural networks. - Erhan Gundogdu; Aykut Koç; A. Aydin Alatan (SIU, 2016)

Digital computation of fractional Fourier and linear canonical transforms and sparse image representation. - Aykut Koç; Haldun M. Özaktas; Burak Bartan; Erhan Gundogdu; Tolga Çukur (APSIPA, 2017)

The Visual Object Tracking VOT2017 Challenge Results. - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Luka Cehovin Zajc; Tomas Vojir; Gustav Häger; Alan Lukezic; Abdelrahman Eldesokey; Gustavo Fernández; Álvaro García-Martín; et al. (ICCV Workshops, 2017)

Method for learning deep features for correlation based visual tracking. - Erhan Gundogdu; A. Aydin Alatan (SIU, 2017)

Deep distance metric learning for maritime vessel identification. - Erhan Gundogdu; Berkan Solmaz; Aykut Koç; Veysel Yücesoy; A. Aydin Alatan (SIU, 2017)

Sparse representation of two- and three-dimensional images with fractional Fourier, Hartley, linear canonical, and Haar wavelet transforms. - Aykut Koç; Burak Bartan; Erhan Gundogdu; Tolga Çukur; Haldun M. Özaktas (Expert Syst. Appl., 2017)

Generic and attribute-specific deep representations for maritime vessels. - Berkan Solmaz; Erhan Gundogdu; Veysel Yücesoy; Aykut Koç (IPSJ Trans. Comput. Vis. Appl., 2017)

Extending Correlation Filter-Based Visual Tracking by Tree-Structured Ensemble and Spatial Windowing. - Erhan Gundogdu; Huseyin Ozkan; A. Aydin Alatan (IEEE Trans. Image Process., 2017)

Good features to correlate for visual tracking ; Korelasyon ile görsel takip için iyi öznitelikler. - Erhan Gündogdu (2017)

The Sixth Visual Object Tracking VOT2018 Challenge Results. - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Luka Cehovin Zajc; Tomás Vojír; Goutam Bhat; Alan Lukezic; Abdelrahman Eldesokey; Gustavo Fernández; Álvaro García-Martín; et al. (ECCV Workshops (1), 2018)

A method for quadruplet sample selection in deep feature learning. - Kaan Karaman; Erhan Gundogdu; Aykut Koç; A. Aydin Alatan (SIU, 2018)

Fine-grained recognition of maritime vessels and land vehicles by deep feature embedding. - Berkan Solmaz; Erhan Gundogdu; Veysel Yücesoy; Aykut Koç; A. Aydin Alatan (IET Comput. Vis., 2018)

Good Features to Correlate for Visual Tracking. - Erhan Gundogdu; A. Aydin Alatan (IEEE Trans. Image Process., 2018)

GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping. - Erhan Gundogdu; Victor Constantin; Amrollah Seifoddini; Minh Dang; Mathieu Salzmann; Pascal Fua (ICCV, 2019)

Quadruplet Selection Methods for Deep Embedding Learning. - Kaan Karaman; Erhan Gundogdu; Aykut Koç; A. Aydin Alatan (ICIP, 2019)

Shape Reconstruction by Learning Differentiable Surface Representations. - Jan Bednarík; Shaifali Parashar; Erhan Gündogdu; Mathieu Salzmann; Pascal Fua (CVPR, 2020)

GarNet++: Improving Fast and Accurate Static3D Cloth Draping by Curvature Loss. - Erhan Gundogdu; Victor Constantin; Shaifali Parashar; Amrollah Seifoddini; Minh Dang; Mathieu Salzmann; Pascal Fua (CoRR, 2020)

Revamping Cross-Modal Recipe Retrieval With Hierarchical Transformers and Self-Supervised Learning. - Amaia Salvador; Erhan Gundogdu; Loris Bazzani; Michael Donoser (CVPR, 2021)

ABO: Dataset and Benchmarks for Real-World 3D Object Understanding. - Jasmine Collins; Shubham Goel 001; Kenan Deng 001; Achleshwar Luthra; Leon Xu; Erhan Gundogdu; Xi Zhang; Tomas F. Yago Vicente; Thomas Dideriksen; Himanshu Arora; Matthieu Guillaumin; Jitendra Malik (CVPR, 2022)

Contrastive Language-Action Pre-training for Temporal Localization. - Mengmeng Xu; Erhan Gundogdu; Maksim Lapin; Bernard Ghanem; Michael Donoser; Loris Bazzani (CoRR, 2022)

GarNet++: Improving Fast and Accurate Static 3D Cloth Draping by Curvature Loss. - Erhan Gundogdu; Victor Constantin; Shaifali Parashar; Amrollah Seifoddini; Minh Dang; Mathieu Salzmann; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

iEdit: Localised Text-guided Image Editing with Weak Supervision. - Rumeysa Bodur; Erhan Gundogdu; Binod Bhattarai; Tae-Kyun Kim 001; Michael Donoser; Loris Bazzani (CVPR Workshops, 2024)