Search Results for author: Cagri Ozcinar

Found 12 papers, 8 papers with code

Spherical Vision Transformer for 360-degree Video Saliency Prediction

1 code implementation24 Aug 2023 Mert Cokelek, Nevrez Imamoglu, Cagri Ozcinar, Erkut Erdem, Aykut Erdem

The growing interest in omnidirectional videos (ODVs) that capture the full field-of-view (FOV) has gained 360-degree saliency prediction importance in computer vision.

Saliency Prediction Video Saliency Prediction +1

ST360IQ: No-Reference Omnidirectional Image Quality Assessment with Spherical Vision Transformers

1 code implementation13 Mar 2023 Nafiseh Jabbari Tofighi, Mohamed Hedi Elfkir, Nevrez Imamoglu, Cagri Ozcinar, Erkut Erdem, Aykut Erdem

As their popularity has increased dramatically in recent years, evaluating the quality of 360 images has become a problem of interest since it provides insights for capturing, transmitting, and consuming this new media.

Image Quality Assessment

Deep Color Mismatch Correction In Stereoscopic 3D Images

1 code implementation IEEE International Conference on Image Processing (ICIP) 2021 Simone Croci, Cagri Ozcinar, Emin Zerman, Roman Dudek, Sebastian Knorr, Aljosa Smolic

Color mismatch in stereoscopic 3D (S3D) images can create visual discomfort and affect the performance of S3D image processing algorithms, e. g., for depth estimation.

Color Mismatch Correction Depth Estimation

Ensemble approach for detection of depression using EEG features

no code implementations7 Mar 2021 Egils Avots, Klavs Jermakovs, Maie Bachmann, Laura Paeske, Cagri Ozcinar, Gholamreza Anbarjafari

Depression is a public health issue which severely affects one's well being and cause negative social and economic effect for society.

EEG feature selection

Quality Assessment of Super-Resolved Omnidirectional Image Quality Using Tangential Views

no code implementations25 Jan 2021 Cagri Ozcinar, Aakanksha Rana

The quality assessment framework offers to utilize tangential views to cope with the spherical nature of a given ODIs.

Image Super-Resolution

A Study on Visual Perception of Light Field Content

no code implementations7 Aug 2020 Ailbhe Gill, Emin Zerman, Cagri Ozcinar, Aljosa Smolic

We conducted perception experiments displaying them to users in various ways and collected corresponding visual attention data.

Sub-Pixel Back-Projection Network For Lightweight Single Image Super-Resolution

1 code implementation3 Aug 2020 Supratik Banerjee, Cagri Ozcinar, Aakanksha Rana, Aljosa Smolic, Michael Manzke

To tackle this problem, in this paper, we study reducing the number of parameters and computational cost of CNN-based SISR methods while maintaining the accuracy of super-resolution reconstruction performance.

Image Super-Resolution

Towards Generating Ambisonics Using Audio-Visual Cue for Virtual Reality

1 code implementation16 Aug 2019 Aakanksha Rana, Cagri Ozcinar, Aljoscha Smolic

Ambisonics i. e., a full-sphere surround sound, is quintessential with 360-degree visual content to provide a realistic virtual reality (VR) experience.

Super-resolution of Omnidirectional Images Using Adversarial Learning

1 code implementation12 Aug 2019 Cagri Ozcinar, Aakanksha Rana, Aljosa Smolic

An omnidirectional image (ODI) enables viewers to look in every direction from a fixed point through a head-mounted display providing an immersive experience compared to that of a standard image.

Generative Adversarial Network Super-Resolution

3D Scanning: A Comprehensive Survey

no code implementations24 Jan 2018 Morteza Daneshmand, Ahmed Helmi, Egils Avots, Fatemeh Noroozi, Fatih Alisinanoglu, Hasan Sait Arslan, Jelena Gorbova, Rain Eric Haamer, Cagri Ozcinar, Gholamreza Anbarjafari

Throughout the paper, various types of the related techniques are reviewed, which consist, mainly, of close-range, aerial, structure-from-motion and terrestrial photogrammetry, and mobile, terrestrial and airborne laser scanning, as well as time-of-flight, structured-light and phase-comparison methods, along with comparative and combinational studies, the latter being intended to help make a clearer distinction on the relevance and reliability of the possible choices.

Outlier Detection

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