16 citations · 16 across the 2 of their papers we have counts for
5 papers
Potential of Multimodal Large Language Models for Data Mining of Medical Images and Free-text Reports
Yutong Zhang, Yi Pan, Tianyang Zhong +11
Medical images and radiology reports are crucial for diagnosing medical conditions, highlighting the importance of quantitative analysis for clinical decision-making. However, the…
CAMixerSR: Only Details Need More "Attention"
Yan Wang, Yi Liu, Shijie Zhao +2
To satisfy the rapidly increasing demands on the large image (2K-8K) super-resolution (SR), prevailing methods follow two independent tracks: 1) accelerate existing networks by con…
OPDN: Omnidirectional Position-aware Deformable Network for Omnidirectional Image Super-Resolution
Xiaopeng Sun, Weiqi Li, Zhenyu Zhang +8
360° omnidirectional images have gained research attention due to their immersive and interactive experience, particularly in AR/VR applications. However, they suffer from lower an…
Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling
Jinhai Yang, Mengxi Guo, Shijie Zhao +2
High-resolution (HR) images are usually downscaled to low-resolution (LR) ones for better display and afterward upscaled back to the original size to recover details. Recent work i…
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results
Ren Yang, Radu Timofte, Xin Li +49
This paper reviews the Challenge on Super-Resolution of Compressed Image and Video at AIM 2022. This challenge includes two tracks. Track 1 aims at the super-resolution of compress…