activity
20242026
most citedICASSP 2024 Speech Signal Improvement Challenge

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 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.HC2024

A multidimensional measurement of photorealistic avatar quality of experience

Ross Cutler, Babak Naderi, Vishak Gopal +1

Photorealistic avatars are human avatars that look, move, and talk like real people. The performance of photorealistic avatars has significantly improved recently based on objectiv…

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…