1 citations · 1 across the 2 of their papers we have counts for
4 papers
Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability
Boyong He, Yuxiang Ji, Zhuoyue Tan +1
Detectors often suffer from performance drop due to domain gap between training and testing data. Recent methods explore diffusion models applied to domain generalization (DG) and…
VisLanding: Monocular 3D Perception for UAV Safe Landing via Depth-Normal Synergy
Zhuoyue Tan, Boyong He, Yuxiang Ji +1
This paper presents VisLanding, a monocular 3D perception-based framework for safe UAV (Unmanned Aerial Vehicle) landing. Addressing the core challenge of autonomous UAV landing in…
Diffusion Domain Teacher: Diffusion Guided Domain Adaptive Object Detector
Boyong He, Yuxiang Ji, Zhuoyue Tan +1
Object detectors often suffer a decrease in performance due to the large domain gap between the training data (source domain) and real-world data (target domain). Diffusion-based g…
Generalized Diffusion Detector: Mining Robust Features from Diffusion Models for Domain-Generalized Detection
Boyong He, Yuxiang Ji, Qianwen Ye +2
Domain generalization (DG) for object detection aims to enhance detectors' performance in unseen scenarios. This task remains challenging due to complex variations in real-world ap…