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20242026
most citedSubjective and Objective Quality Assessment of Rendered Human Avatar Videos in Virtual Reality

8 citations · 18 across the 10 of their papers we have counts for

collaborators

10 papers

eess.IV2026

A Self-Supervised Learning Framework for Video Encoding Complexity Clustering

Krishna Srikar Durbha, Hassene Tmar, Ping-Hao Wu +2

Adaptive video streaming is a widely used technique for delivering video content over the internet. One of the key challenges is determining the optimal encoding settings for each…

cs.CV2026

Spatially Localized Image Degradation Embeddings for Image Quality Assessment

Krishna Srikar Durbha, Hassene Tmar, Ping-Hao Wu +2

Self-supervised learning (SSL) currently drives state-of-the-art performance in no-reference image quality assessment (NR-IQA). However, standard SSL pipelines uniformly apply synt…

eess.IV2025

Leveraging Compression to Construct Transferable Bitrate Ladders

Krishna Srikar Durbha, Hassene Tmar, Ping-Hao Wu +2

Over the past few years, per-title and per-shot video encoding techniques have demonstrated significant gains as compared to conventional techniques such as constant CRF encoding a…

eess.IV2024★ 8 cited

Subjective and Objective Quality Assessment of Rendered Human Avatar Videos in Virtual Reality

Yu-Chih Chen, Avinab Saha, Alexandre Chapiro +6

We study the visual quality judgments of human subjects on digital human avatars (sometimes referred to as "holograms" in the parlance of virtual reality [VR] and augmented reality…

eess.IV2024★ 7 cited

AIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content

Marcos V Conde, Zhijun Lei, Wen Li +3

Video super-resolution (VSR) is a critical task for enhancing low-bitrate and low-resolution videos, particularly in streaming applications. While numerous solutions have been deve…

eess.IV2024

SVT-AV1 Encoding Bitrate Estimation Using Motion Search Information

Lena Eichermüller, Gaurang Chaudhari, Ioannis Katsavounidis +4

Enabling high compression efficiency while keeping encoding energy consumption at a low level, requires prioritization of which videos need more sophisticated encoding techniques.…

cs.CV2024★ 2 cited

Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey

Marcos V. Conde, Zhijun Lei, Wen Li +72

This paper introduces a novel benchmark as part of the AIS 2024 Real-Time Image Super-Resolution (RTSR) Challenge, which aims to upscale compressed images from 540p to 4K resolutio…

eess.IV2024

Cut-FUNQUE: An Objective Quality Model for Compressed Tone-Mapped High Dynamic Range Videos

Abhinau K. Venkataramanan, Cosmin Stejerean, Ioannis Katsavounidis +2

High Dynamic Range (HDR) videos have enjoyed a surge in popularity in recent years due to their ability to represent a wider range of contrast and color than Standard Dynamic Range…

eess.IV2024

Joint Quality Assessment and Example-Guided Image Processing by Disentangling Picture Appearance from Content

Abhinau K. Venkataramanan, Cosmin Stejerean, Ioannis Katsavounidis +2

The deep learning revolution has strongly impacted low-level image processing tasks such as style/domain transfer, enhancement/restoration, and visual quality assessments. Despite…

eess.IV2024★ 1 cited

Encoding Time and Energy Model for SVT-AV1 based on Video Complexity

Lena Eichermüller, Gaurang Chaudhari, Ioannis Katsavounidis +4

The share of online video traffic in global carbon dioxide emissions is growing steadily. To comply with the demand for video media, dedicated compression techniques are continuous…