70 citations · 79 across the 8 of their papers we have counts for
8 papers
WMFormer++: Nested Transformer for Visible Watermark Removal via Implict Joint Learning
Dongjian Huo, Zehong Zhang, Hanjing Su +3
Watermarking serves as a widely adopted approach to safeguard media copyright. In parallel, the research focus has extended to watermark removal techniques, offering an adversarial…
Learning to Recover Spectral Reflectance from RGB Images
Dong Huo, Jian Wang, Yiming Qian +1
This paper tackles spectral reflectance recovery (SRR) from RGB images. Since capturing ground-truth spectral reflectance and camera spectral sensitivity are challenging and costly…
Dual Progressive Transformations for Weakly Supervised Semantic Segmentation
Dongjian Huo, Yukun Su, Qingyao Wu
Weakly supervised semantic segmentation (WSSS), which aims to mine the object regions by merely using class-level labels, is a challenging task in computer vision. The current stat…
Structured Light with Redundancy Codes
Zhanghao Sun, Yu Zhang, Yicheng Wu +3
Structured light (SL) systems acquire high-fidelity 3D geometry with active illumination projection. Conventional systems exhibit challenges when working in environments with stron…
Glass Segmentation with RGB-Thermal Image Pairs
Dong Huo, Jian Wang, Yiming Qian +1
This paper proposes a new glass segmentation method utilizing paired RGB and thermal images. Due to the large difference between the transmission property of visible light and that…
Blind Image Deconvolution Using Variational Deep Image Prior
Dong Huo, Abbas Masoumzadeh, Rafsanjany Kushol +1
Conventional deconvolution methods utilize hand-crafted image priors to constrain the optimization. While deep-learning-based methods have simplified the optimization by end-to-end…
Blind Non-Uniform Motion Deblurring using Atrous Spatial Pyramid Deformable Convolution and Deblurring-Reblurring Consistency
Dong Huo, Abbas Masoumzadeh, Yee-Hong Yang
Many deep learning based methods are designed to remove non-uniform (spatially variant) motion blur caused by object motion and camera shake without knowing the blur kernel. Some m…
Blind Image Super-Resolution with Spatial Context Hallucination
Dong Huo, Yee-Hong Yang
Deep convolution neural networks (CNNs) play a critical role in single image super-resolution (SISR) since the amazing improvement of high performance computing. However, most of t…