Tiantian Yan — accepted AI-conference papers

2024

Adaptive Multi-Exposure Fusion for Enhanced Neural Radiance Fields

Yang Zou, Xingyuan Li, Zhiying Jiang, Tiantian Yan, Jinyuan Liu

ICASSP 2024accepted

Neural Radiance Fields (NeRF) have revolutionized 3D scene modeling and rendering. However, their performance dips when handling images with diverse exposure levels, mainly due to the intricate luminance dynamics. Addressing this, we present an innovative method that proficiently models and renders…

Cited by 0 Source ↗Scholar ↗

2024

Segmentation-Driven Infrared and Visible Image Fusion Via Transformer-Enhanced Architecture Searching

Hongming Fu, Guanyao Wu, Zhu Liu, Tiantian Yan, Jinyuan Liu

ICASSP 2024accepted

A series of infrared and visible image fusion (IVIF) methods have emerged to improve the performance of segmentation task. However, existing perception-focused IVIF methods take visual effects and semantic information as a unified goal for training, ignoring the task conflicts. Moreover, these metho…

Cited by 0 Source ↗Scholar ↗