11 citations · 16 across the 5 of their papers we have counts for
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cs.CV2025
MT-Mark: Rethinking Image Watermarking via Mutual-Teacher Collaboration with Adaptive Feature Modulation
Fei Ge, Ying Huang, Jie Liu +4
Existing deep image watermarking methods follow a fixed embedding-distortion-extraction pipeline, where the embedder and extractor are weakly coupled through a final loss and optim…
cs.CV2021★ 11 cited
From General to Specific: Online Updating for Blind Super-Resolution
Shang Li, Guixuan Zhang, Zhengxiong Luo +3
Most deep learning-based super-resolution (SR) methods are not image-specific: 1) They are trained on samples synthesized by predefined degradations (e.g. bicubic downsampling), re…
cs.CV2019
Learning to Predict More Accurate Text Instances for Scene Text Detection
XiaoQian Li, Jie Liu, ShuWu Zhang +1
At present, multi-oriented text detection methods based on deep neural network have achieved promising performances on various benchmarks. Nevertheless, there are still some diffic…