43 citations · 117 across the 9 of their papers we have counts for
14 papers
Mitigating Sample-Level Imbalance via Probabilistic Separation for Adaptive Multimodal Fusion
Zhiwen Yu, Zhaocheng Liu, Xiaoqing Liu +2
Multimodal learning faces modality imbalance, where dominant modalities suppress weaker ones due to inconsistent convergence rates. Existing static or heuristic methods overlook sa…
Exploring Non-Local Spatial-Angular Correlations with a Hybrid Mamba-Transformer Framework for Light Field Super-Resolution
Haosong Liu, Xiancheng Zhu, Huanqiang Zeng +3
Recently, Mamba-based methods, with its advantage in long-range information modeling and linear complexity, have shown great potential in optimizing both computational cost and per…
FD-LSCIC: Frequency Decomposition-based Learned Screen Content Image Compression
Shiqi Jiang, Hui Yuan, Shuai Li +2
The learned image compression (LIC) methods have already surpassed traditional techniques in compressing natural scene (NS) images. However, directly applying these methods to scre…
Unsupervised 3D Point Cloud Completion via Multi-view Adversarial Learning
Lintai Wu, Xianjing Cheng, Yong Xu +2
In real-world scenarios, scanned point clouds are often incomplete due to occlusion issues. The tasks of self-supervised and weakly-supervised point cloud completion involve recons…
Global Structure-Aware Diffusion Process for Low-Light Image Enhancement
Jinhui Hou, Zhiyu Zhu, Junhui Hou +3
This paper studies a diffusion-based framework to address the low-light image enhancement problem. To harness the capabilities of diffusion models, we delve into this intricate pro…
Deep Diversity-Enhanced Feature Representation of Hyperspectral Images
Jinhui Hou, Zhiyu Zhu, Junhui Hou +3
In this paper, we study the problem of efficiently and effectively embedding the high-dimensional spatio-spectral information of hyperspectral (HS) images, guided by feature divers…