activity
20232026
most citedFull Reference Video Quality Assessment for Machine Learning-Based Video Codecs

1 citations · 2 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2026

A Camera-Native Talking-Head Video Dataset for Various Computer Vision Tasks

Babak Naderi, Ross Cutler, Nabakumar Singh Khongbantabam

Talking-head videos constitute a predominant content type in real-time communication, yet publicly available datasets for video processing research in this domain remain scarce and…

cs.MM2025

Comparative Study of Subjective Video Quality Assessment Test Methods in Crowdsourcing for Varied Use Cases

Babak Naderi, Ross Cutler

In crowdsourced subjective video quality assessment, practitioners often face a choice between Absolute Category Rating (ACR), ACR with Hidden Reference (ACR-HR), and Comparison Ca…

eess.IV2025

Ensuring Reliable Participation in Subjective Video Quality Tests Across Platforms

Babak Naderi, Ross Cutler

Subjective video quality assessment (VQA) is the gold standard for measuring end-user experience across communication, streaming, and UGC pipelines. Beyond high-validity lab studie…

eess.IV2025

ICME 2025 Grand Challenge on Video Super-Resolution for Video Conferencing

Babak Naderi, Ross Cutler, Juhee Cho +2

Super-Resolution (SR) is a critical task in computer vision, focusing on reconstructing high-resolution (HR) images from low-resolution (LR) inputs. The field has seen significant…

cs.SD2024

The ICASSP 2024 Audio Deep Packet Loss Concealment Challenge

Lorenz Diener, Solomiya Branets, Ando Saabas +1

Audio packet loss concealment is the hiding of gaps in VoIP audio streams caused by network packet loss. With the ICASSP 2024 Audio Deep Packet Loss Concealment Grand Challenge, we…

cs.SD2024★ 1 cited

ICASSP 2024 Speech Signal Improvement Challenge

Nicolae Catalin Ristea, Ando Saabas, Ross Cutler +3

The ICASSP 2024 Speech Signal Improvement Grand Challenge is intended to stimulate research in the area of improving the speech signal quality in communication systems. This marks…

eess.AS2023

ICASSP 2023 Acoustic Echo Cancellation Challenge

Ross Cutler, Ando Saabas, Tanel Parnamaa +7

The ICASSP 2023 Acoustic Echo Cancellation Challenge is intended to stimulate research in acoustic echo cancellation (AEC), which is an important area of speech enhancement and is…

eess.AS2023

Multi-dimensional Speech Quality Assessment in Crowdsourcing

Babak Naderi, Ross Cutler, Nicolae-Catalin Ristea

Subjective speech quality assessment is the gold standard for evaluating speech enhancement processing and telecommunication systems. The commonly used standard ITU-T Rec. P.800 de…

eess.IV2023★ 1 cited

Full Reference Video Quality Assessment for Machine Learning-Based Video Codecs

Abrar Majeedi, Babak Naderi, Yasaman Hosseinkashi +3

Machine learning-based video codecs have made significant progress in the past few years. A critical area in the development of ML-based video codecs is an accurate evaluation metr…

eess.IV2023

VCD: A Video Conferencing Dataset for Video Compression

Babak Naderi, Ross Cutler, Nabakumar Singh Khongbantabam +4

Commonly used datasets for evaluating video codecs are all very high quality and not representative of video typically used in video conferencing scenarios. We present the Video Co…