activity
20222026
most citedAssessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment

15 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Smaller Models are Natural Explorers for Policy-Level Diversity in GRPO

Yiran Xu, Yiming Ren, Zicheng Lin +8

We identify a new dimension for enhancing rollout diversity in Group Relative Policy Optimization (GRPO) for LLMs. While GRPO relies on diverse rollouts, prevailing strategies prim…

cs.CV2024★ 2 cited

A Comprehensive Study of Multimodal Large Language Models for Image Quality Assessment

Tianhe Wu, Kede Ma, Jie Liang +2

While Multimodal Large Language Models (MLLMs) have experienced significant advancement in visual understanding and reasoning, their potential to serve as powerful, flexible, inter…

cs.CV2023★ 15 cited

Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment

Tianhe Wu, Shuwei Shi, Haoming Cai +4

Blind Omnidirectional Image Quality Assessment (BOIQA) aims to objectively assess the human perceptual quality of omnidirectional images (ODIs) without relying on pristine-quality…

cs.CV2022★ 1 cited

Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Network

Shanshan Lao, Yuan Gong, Shuwei Shi +5

Image quality assessment (IQA) algorithm aims to quantify the human perception of image quality. Unfortunately, there is a performance drop when assessing the distortion images gen…

cs.CV2022★ 3 cited

MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment

Sidi Yang, Tianhe Wu, Shuwei Shi +5

No-Reference Image Quality Assessment (NR-IQA) aims to assess the perceptual quality of images in accordance with human subjective perception. Unfortunately, existing NR-IQA method…