Baris Gecer

Dr. Baris Gecer

Position:

Past Member

Email:

Personal website:

https://barisgecer.github.io/

Biography

Baris Gecer received his Ph.D. degree in 2020 from the Department of Computing, Imperial College London, under the supervision of Dr. Stefanos Zafeiriou, as a member of iBUG group. 

His main research interests are photorealistic 3D Face modelling and synthesis by Generative Adversarial Nets and Deep Learning. Currently, He is working as a Senior Research Scientist at Huawei Technologies (UK), London Research Center. Previously, he has done a 6-months research internship at Facebook Reality Labs and was a Research Scientist at Computer Vision Scientist at FaceSoft Ltd.


He obtained his M.S. degree from Bilkent University Computer Engineering department under the supervision of Prof. Selim Aksoy in 2016 and obtained his undergraduate degree in Computer Engineering from Hacettepe University in 2014. He also did an internship in Intelligent Systems Lab of the University of Groningen., with the supervision of Prof. Nicolai Petkov and Dr. George Azzopardi.

Publications

Journal articles

Fast-GANFIT: Generative Adversarial Network for High Fidelity 3D Face Reconstruction

B. Gecer, S. Ploumpis, I. Kotsia, S. Zafeiriou. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2021.

Bibtex reference [hide]
@article{gecer2021fast,
    author = {B. Gecer and S. Ploumpis and I. Kotsia and S. Zafeiriou},
    journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
    publisher = {IEEE},
    title = {Fast-GANFIT: Generative Adversarial Network for High Fidelity 3D Face Reconstruction},
    year = {2021},
}
Endnote reference [hide]

AvatarMe++: Facial Shape and BRDF Inference with Photorealistic Rendering-Aware GANs

A. Lattas, S. Moschoglou, S. Ploumpis, B. Gecer, A. Ghosh, S. Zafeiriou. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2021.

Bibtex reference [hide]
@article{lattas2021avatarme++,
    author = {A. Lattas and S. Moschoglou and S. Ploumpis and B. Gecer and A. Ghosh and S. Zafeiriou},
    journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
    publisher = {IEEE},
    title = {AvatarMe++: Facial Shape and BRDF Inference with Photorealistic Rendering-Aware GANs},
    year = {2021},
}
Endnote reference [hide]

Towards a Complete 3D Morphable Model of the Human Head

S. Ploumpis, E. Ververas, E. O. Sullivan, S. Moschoglou, H. Wang, N. Pears, W. A. Smith, B. Gecer, S. Zafeiriou. IEEE Transactions on Pattern Analysis & Machine Intelligence. 43(11): pp. 4142 - 4160, 2021.

Bibtex reference [hide]
@article{ploumpis2021towards,
    author = {S. Ploumpis and E. Ververas and E. O. Sullivan and S. Moschoglou and H. Wang and N. Pears and W. A. Smith and B. Gecer and S. Zafeiriou},
    pages = {4142--4160},
    journal = {IEEE Transactions on Pattern Analysis & Machine Intelligence},
    number = {11},
    publisher = {IEEE Computer Society},
    title = {Towards a Complete 3D Morphable Model of the Human Head},
    volume = {43},
    year = {2021},
}
Endnote reference [hide]

Detection and classification of cancer in whole slide breast histopathology images using deep convolutional networks

B. Gecer, S. Aksoy, E. Mercan, L. G. Shapiro, D. L. Weaver, J. G. Elmore. Pattern Recognition. 84: pp. 345 - 356, 2018.

Bibtex reference [hide]
@article{gecer2018breast,
    author = {B. Gecer and S. Aksoy and E. Mercan and L. G. Shapiro and D. L. Weaver and J. G. Elmore},
    pages = {345--356},
    journal = {Pattern Recognition},
    title = {Detection and classification of cancer in whole slide breast histopathology images using deep convolutional networks},
    url = {http://www.sciencedirect.com/science/article/pii/S0031320318302577},
    volume = {84},
    year = {2018},
}
Endnote reference [hide]

Color-blob-based COSFIRE filters for object recognition

B. Gecer, G. Azzopardi, N. Petkov. Image and Vision Computing. 57: pp. 165 - 174, 2017.

Bibtex reference [hide]
@article{gecer2017color,
    author = {B. Gecer and G. Azzopardi and N. Petkov},
    pages = {165--174},
    journal = {Image and Vision Computing},
    title = {Color-blob-based COSFIRE filters for object recognition},
    url = {http://www.sciencedirect.com/science/article/pii/S0262885616301895},
    volume = {57},
    year = {2017},
}
Endnote reference [hide]

Conference articles

OSTeC: One-Shot Texture Completion

B. Gecer, J. Deng, S. Zafeiriou. CVPR. 2021.

Bibtex reference [hide]
@inproceedings{OSTeCbaris2021,
    booktitle = {CVPR},
    title = {OSTeC: One-Shot Texture Completion},
    year = {2021},
}
Endnote reference [hide]

Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks

B. Gecer, A. Lattas, S. Ploumpis, J. Deng, A. Papaioannou, S. Moschoglou, S. Zafeiriou. ECCV. 2020.

Bibtex reference [hide]
@inproceedings{barissynthesizing,
    booktitle = {ECCV},
    title = {Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks},
    year = {2020},
}
Endnote reference [hide]

AvatarMe: Realistically Renderable 3D Facial Reconstruction ?In-the-Wild?

A. Lattas, S. Moschoglou, B. Gecer, S. Ploumpis, V. Triantafyllou, A. Ghosh, S. Zafeiriou. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE Computer Society, pp. 757 - 766, 2020.

Bibtex reference [hide]
@inproceedings{lattas2020avatarme,
    author = {A. Lattas and S. Moschoglou and B. Gecer and S. Ploumpis and V. Triantafyllou and A. Ghosh and S. Zafeiriou},
    pages = {757--766},
    booktitle = {2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    organization = {IEEE Computer Society},
    title = {AvatarMe: Realistically Renderable 3D Facial Reconstruction ?In-the-Wild?},
    year = {2020},
}
Endnote reference [hide]

GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction

B. Gecer, S. Ploumpis, I. Kotsia, S. Zafeiriou. CVPR 2019. 2019.

Bibtex reference [hide]
@inproceedings{baris2019,
    author = {B. Gecer and S. Ploumpis and I. Kotsia and S. Zafeiriou},
    booktitle = {CVPR 2019},
    title = {GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction},
    year = {2019},
}
Endnote reference [hide]

Semi-supervised adversarial learning to generate photorealistic face images of new identities from 3D morphable model

B. Gecer, B. Bhattarai, J. Kittler, T. Kim. Proceedings of the European Conference on Computer Vision (ECCV). pp. 217 - 234, 2018.

Bibtex reference [hide]
@inproceedings{gecer2018semi,
    author = {B. Gecer and B. Bhattarai and J. Kittler and T. Kim},
    pages = {217--234},
    booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
    title = {Semi-supervised adversarial learning to generate photorealistic face images of new identities from 3D morphable model},
    year = {2018},
}
Endnote reference [hide]

Learning Deep Convolutional Embeddings for Face Representation Using Joint Sample- and Set-Based Supervision

B. Gecer, V. Balntas, T. Kim. The IEEE International Conference on Computer Vision (ICCV) Workshops. Oct 2017.

Bibtex reference [hide]
@inproceedings{Gecer_2017_ICCV,
    author = {B. Gecer and V. Balntas and T. Kim},
    booktitle = {The IEEE International Conference on Computer Vision (ICCV) Workshops},
    month = {Oct},
    title = {Learning Deep Convolutional Embeddings for Face Representation Using Joint Sample- and Set-Based Supervision},
    year = {2017},
}
Endnote reference [hide]