2 citations · 7 across the 8 of their papers we have counts for
8 papers
QMamba: Post-Training Quantization for Vision State Space Models
Yinglong Li, Xiaoyu Liu, Jiacheng Li +3
State Space Models (SSMs), as key components of Mamaba, have gained increasing attention for vision models recently, thanks to their efficient long sequence modeling capability. Gi…
Event-boosted Deformable 3D Gaussians for Dynamic Scene Reconstruction
Wenhao Xu, Wenming Weng, Yueyi Zhang +2
Deformable 3D Gaussian Splatting (3D-GS) is limited by missing intermediate motion information due to the low temporal resolution of RGB cameras. To address this, we introduce the…
Diffusion-Promoted HDR Video Reconstruction
Yuanshen Guan, Ruikang Xu, Mingde Yao +3
High dynamic range (HDR) video reconstruction aims to generate HDR videos from low dynamic range (LDR) frames captured with alternating exposures. Most existing works solely rely o…
Neural Degradation Representation Learning for All-In-One Image Restoration
Mingde Yao, Ruikang Xu, Yuanshen Guan +2
Existing methods have demonstrated effective performance on a single degradation type. In practical applications, however, the degradation is often unknown, and the mismatch betwee…
Mutual-Guided Dynamic Network for Image Fusion
Yuanshen Guan, Ruikang Xu, Mingde Yao +2
Image fusion aims to generate a high-quality image from multiple images captured under varying conditions. The key problem of this task is to preserve complementary information whi…
Generalized Lightness Adaptation with Channel Selective Normalization
Mingde Yao, Jie Huang, Xin Jin +4
Lightness adaptation is vital to the success of image processing to avoid unexpected visual deterioration, which covers multiple aspects, e.g., low-light image enhancement, image r…
Continuous Spectral Reconstruction from RGB Images via Implicit Neural Representation
Ruikang Xu, Mingde Yao, Chang Chen +2
Existing methods for spectral reconstruction usually learn a discrete mapping from RGB images to a number of spectral bands. However, this modeling strategy ignores the continuous…
EDPN: Enhanced Deep Pyramid Network for Blurry Image Restoration
Ruikang Xu, Zeyu Xiao, Jie Huang +2
Image deblurring has seen a great improvement with the development of deep neural networks. In practice, however, blurry images often suffer from additional degradations such as do…