Lirong Huang — accepted AI-conference papers

2024

Visual Redundancy Removal for Composite Images: A Benchmark Dataset and a Multi-Visual-Effects Driven Incremental Method

Miaohui Wang, Rong Zhang, Lirong Huang, Yanshan Li

AAAI 2024technical

Composite images (CIs) typically combine various elements from different scenes, views, and styles, which are a very important information carrier in the era of mixed media such as virtual reality, mixed reality, metaverse, etc. However, the complexity of CI content presents a significant challenge…

Cited by 1 Source ↗PDF ↗Scholar ↗

2023

Just Noticeable Visual Redundancy Forecasting: A Deep Multimodal-Driven Approach

Wuyuan Xie, Shukang Wang, Sukun Tian, Lirong Huang, Ye Liu, Miaohui Wang

AAAI 2023technical

Just noticeable difference (JND) refers to the maximum visual change that human eyes cannot perceive, and it has a wide range of applications in multimedia systems. However, most existing JND approaches only focus on a single modality, and rarely consider the complementary effects of multimodal info…

Cited by 5 Source ↗PDF ↗Scholar ↗