3 citations · 6 across the 18 of their papers we have counts for
6 papers · 1 filter
TecoPrompt: Temporal-Conservative Prompt Learning for Vision-Language Models
Zeyi Shao, Haowen Hua, Jiaxin Zhang +3
Prompt learning adapts vision-language models, such as CLIP, by adjusting a small set of context tokens. However, under few-shot supervision, even moderate label noise can disrupt…
RSGen: Enhancing Layout-Driven Remote Sensing Image Generation with Diverse Edge Guidance
Xianbao Hou, Yonghao He, Zeyd Boukhers +4
Diffusion models have significantly mitigated the impact of annotated data scarcity in remote sensing (RS). Although recent approaches have successfully harnessed these models to e…
MoiréNet: A Compact Dual-Domain Network for Image Demoiréing
Shuwei Guo, Simin Luan, Yan Ke +3
Moiré patterns arise from spectral aliasing between display pixel lattices and camera sensor grids, manifesting as anisotropic, multi-scale artifacts that pose significant challeng…
InstaDA: Augmenting Instance Segmentation Data with Dual-Agent System
Xianbao Hou, Yonghao He, Zeyd Boukhers +4
Acquiring high-quality instance segmentation data is challenging due to the labor-intensive nature of the annotation process and significant class imbalances within datasets. Recen…
Unleashing Semantic and Geometric Priors for 3D Scene Completion
Shiyuan Chen, Wei Sui, Bohao Zhang +3
Camera-based 3D semantic scene completion (SSC) provides dense geometric and semantic perception for autonomous driving and robotic navigation. However, existing methods rely on a…
SuperEdge: Towards a Generalization Model for Self-Supervised Edge Detection
Leng Kai, Zhang Zhijie, Liu Jie +4
Edge detection is a fundamental technique in various computer vision tasks. Edges are indeed effectively delineated by pixel discontinuity and can offer reliable structural informa…