87 citations · 101 across the 5 of their papers we have counts for
5 papers
Learning Arbitrary-Scale RAW Image Downscaling with Wavelet-based Recurrent Reconstruction
Yang Ren, Hai Jiang, Wei Li +5
Image downscaling is critical for efficient storage and transmission of high-resolution (HR) images. Existing learning-based methods focus on performing downscaling within the sRGB…
SGDFormer: One-stage Transformer-based Architecture for Cross-Spectral Stereo Image Guided Denoising
Runmin Zhang, Zhu Yu, Zehua Sheng +6
Cross-spectral image guided denoising has shown its great potential in recovering clean images with rich details, such as using the near-infrared image to guide the denoising proce…
TFDet: Target-Aware Fusion for RGB-T Pedestrian Detection
Xue Zhang, Xiaohan Zhang, Jiangtao Wang +5
Pedestrian detection plays a critical role in computer vision as it contributes to ensuring traffic safety. Existing methods that rely solely on RGB images suffer from performance…
Iterative Deep Homography Estimation
Si-Yuan Cao, Jianxin Hu, Zehua Sheng +1
We propose Iterative Homography Network, namely IHN, a new deep homography estimation architecture. Different from previous works that achieve iterative refinement by network casca…
FocusNet: Classifying Better by Focusing on Confusing Classes
Xue Zhang, Zehua Sheng, Hui-Liang Shen
Nowadays, most classification networks use one-hot encoding to represent categorical data because of its simplicity. However, one-hot encoding may affect the generalization ability…