most citedMS-SCANet: A Multiscale Transformer-Based Architecture with Dual Attention for No-Reference Image Quality Assessment

12 citations · 12 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG2026

Class-Conditioned Gaussian Mixture Modeling for Imbalanced Time Series Quantification

Md Shahriar Kabir, Mayesha Maliha R. Mithila, Anne H. H. Ngu +2

Quantification, estimating class prevalences in bags of unlabeled instances is vital in domains where aggregate statistics are more important than individual instance labels, such…

cs.CV2026

Towards Standardized Light Field Quality Assessment: Hybrid Subjective Benchmarking and Objective Metric Evaluation

Saeed Mahmoudpour, Mylene C. Q. Farias, Gi-Mun Um +6

Benchmarking immersive media coding solutions, especially in the standardization context, requires reliable and reproducible subjective quality assessment (QA) procedures, along wi…

cs.CV2026

DAL-PCQA: Enabling Distortion-Level and Language-Driven Reasoning for Point Cloud Quality Assessment

Swarna Chakraborty, Gabriel De Castro Araújo, Syeda Tasmi Faria +2

Point Cloud Quality Assessment (PCQA) methods typically predict scalar Mean Opinion Scores (MOS), which quantify overall perceptual degradation but do not reveal its causes. In con…

cs.MM2026

Multimodal Confidence Modeling in Audio-Visual Quality Assessment

Mayesha Maliha R. Mithila, Mylene C. Q. Farias

Audio-visual quality assessment (AVQA) is essential for streaming, teleconferencing, and immersive media. In realistic streaming scenarios, distortions are often asymmetric, where…

eess.IV202612 cited

MS-SCANet: A Multiscale Transformer-Based Architecture with Dual Attention for No-Reference Image Quality Assessment

Mayesha Maliha R. Mithila, Mylene C. Q. Farias

We present the Multi-Scale Spatial Channel Attention Network (MS-SCANet), a transformer-based architecture designed for no-reference image quality assessment (IQA). MS-SCANet featu…

eess.IV2026

Convolutions Need Registers Too: HVS-Inspired Dynamic Attention for Video Quality Assessment

Mayesha Maliha R. Mithila, Mylene C. Q. Farias

No-reference video quality assessment (NR-VQA) estimates perceptual quality without a reference video, which is often challenging. While recent techniques leverage saliency or tran…