Evgeniy Upenik

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evgeniy.upenik@epfl.ch https://twitter.com/EvgeniyUpenik

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EPFL > STI > IEM > GR-EB

Web site: Web site: https://mmspl.epfl.ch/

EHE > ASSOCIATIONS > 4-CORPS > ELSA

Web site: Web site: https://www.epfl.ch/campus/associations/list/acide/

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Biography

Dr. Evgeniy Upenik is a research scientist at the Multimedia Signal Processing Group, EPFL. His field of interest covers a wide area ranging from image quality and compression to immersive communication and virtual reality, as well as deep learning and generative AI. He received his PhD degree in electrical engineering from École Polytechnique Fédérale de Lausanne. Evgeniy has been actively involved in standardization for many years where he co-chaired JPEG AI Learning-Based Image Coding System and chaired Image Quality Assessment activities within ISO/IEC JTC 1/SC 29/WG 1. Earlier in his career, Evgeniy was a DSP software engineer specializing in image and video compression.

Publications

Infoscience publications

Main publications

On the assessment of high-quality images: advances on the JPEG AIC-3 activity

M. Testolina; E. Upenik; T. Ebrahimi

2023. Applications of Digital Image Processing XLVI, San Diego, California, USA, 21 - 23 August 2023. DOI : 10.1117/12.2677356.

Evgeniy Upenik

Biography

Publications

Infoscience publications

Main publications

On the assessment of high-quality images: advances on the JPEG AIC-3 activity

Towards JPEG AIC part 3: visual quality assessment of high to visually lossless image coding

Impact of Benign Modifications on Discriminative Performance of Deepfake Detectors

Large-Scale Crowdsourcing Subjective Quality Evaluation of Learning-Based Image Coding

Towards a secure and trustworthy imaging with non-fungible tokens

Towards super resolution in the compressed domain of learning-based image codecs

Towards image denoising in the latent space of learning-based compression

Performance Evaluation of Objective Image Quality Metrics on Conventional and Learning-Based Compression Artifacts

Open-Set Person Re-Identification through Error Resilient Recurring Gallery Building

Comprehensive assessment of image compression algorithms

Machine learning based detection of digital documents maliciously recaptured from displays

High dynamic range image sharing with privacy protection

Benchmarking JPEG XL image compression

Visual Attention and Perceptual Quality in Omnidirectional Imaging

Saliency Driven Perceptual Quality Metric for Omnidirectional Visual Content

Inpainting in Omnidirectional Images for Privacy Protection

A Rendering Solution to Display Light Field in Virtual Reality

Towards subjective quality assessment of point cloud imaging in augmented reality

On the performance of objective metrics for omnidirectional visual content

A simple method to obtain visual attention data in head mounted virtual reality

JPEG backward compatible coding of omnidirectional images

Testbed for subjective evaluation of omnidirectional visual content

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