63 citations · 128 across the 34 of their papers we have counts for
7 papers · 1 filter
PivotMesh: Generic 3D Mesh Generation via Pivot Vertices Guidance
Haohan Weng, Yikai Wang, Tong Zhang +2
Generating compact and sharply detailed 3D meshes poses a significant challenge for current 3D generative models. Different from extracting dense meshes from neural representation,…
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…
Spatial-frequency Dual-Domain Feature Fusion Network for Low-Light Remote Sensing Image Enhancement
Zishu Yao, Guodong Fan, Jinfu Fan +2
Low-light remote sensing images generally feature high resolution and high spatial complexity, with continuously distributed surface features in space. This continuity in scenes le…
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…
Variable Projection Algorithms: Theoretical Insights and A Novel Approach for Problems with Large Residual
Guangyong Chen, Peng Xue, Min Gan +3
This paper delves into an in-depth exploration of the Variable Projection (VP) algorithm, a powerful tool for solving separable nonlinear optimization problems across multiple doma…