10 citations · 24 across the 9 of their papers we have counts for
9 papers
FDCE-Net: Underwater Image Enhancement with Embedding Frequency and Dual Color Encoder
Zheng Cheng, Guodong Fan, Jingchun Zhou +2
Underwater images often suffer from various issues such as low brightness, color shift, blurred details, and noise due to light absorption and scattering caused by water and suspen…
Incremental Self-training for Semi-supervised Learning
Jifeng Guo, Zhulin Liu, Tong Zhang +1
Semi-supervised learning provides a solution to reduce the dependency of machine learning on labeled data. As one of the efficient semi-supervised techniques, self-training (ST) ha…
Desigen: A Pipeline for Controllable Design Template Generation
Haohan Weng, Danqing Huang, Yu Qiao +4
Templates serve as a good starting point to implement a design (e.g., banner, slide) but it takes great effort from designers to manually create. In this paper, we present Desigen,…
SpirDet: Towards Efficient, Accurate and Lightweight Infrared Small Target Detector
Qianchen Mao, Qiang Li, Bingshu Wang +3
In recent years, the detection of infrared small targets using deep learning methods has garnered substantial attention due to notable advancements. To improve the detection capabi…
Consistent123: Improve Consistency for One Image to 3D Object Synthesis
Haohan Weng, Tianyu Yang, Jianan Wang +4
Large image diffusion models enable novel view synthesis with high quality and excellent zero-shot capability. However, such models based on image-to-image translation have no guar…
BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale Weakly Supervised Applications
Jiatai Lin, Guoqiang Han, Xuemiao Xu +5
Class activation mapping~(CAM), a visualization technique for interpreting deep learning models, is now commonly used for weakly supervised semantic segmentation~(WSSS) and object…