4 citations · 6 across the 5 of their papers we have counts for
6 papers
Explicit Geometric Chain-of-Thought for Vision-Language-Action in Autonomous Driving
Xingtai Gui, Yucheng Zhou, Dongqian Guo +3
Vision-language-action~(VLA) models have emerged as a promising paradigm for autonomous driving. However, existing VLA models still suffer from a fundamental mismatch: driving acti…
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation
Dongqian Guo, Wencheng Han, Pang Lyu +2
Cephalometric landmark detection is essential for orthodontic diagnostics and treatment planning. Nevertheless, the scarcity of samples in data collection and the extensive effort…
Reducing CT Metal Artifacts by Learning Latent Space Alignment with Gemstone Spectral Imaging Data
Wencheng Han, Dongqian Guo, Xiao Chen +3
Metal artifacts in CT slices have long posed challenges in medical diagnostics. These artifacts degrade image quality, resulting in suboptimal visualization and complicating the ac…
Deep Learning Techniques for Automatic Lateral X-ray Cephalometric Landmark Detection: Is the Problem Solved?
Hongyuan Zhang, Ching-Wei Wang, Hikam Muzakky +13
Localization of the craniofacial landmarks from lateral cephalograms is a fundamental task in cephalometric analysis. The automation of the corresponding tasks has thus been the su…
DME-Driver: Integrating Human Decision Logic and 3D Scene Perception in Autonomous Driving
Wencheng Han, Dongqian Guo, Cheng-Zhong Xu +1
In the field of autonomous driving, two important features of autonomous driving car systems are the explainability of decision logic and the accuracy of environmental perception.…
Multi-Resolution Fusion for Fully Automatic Cephalometric Landmark Detection
Dongqian Guo, Wencheng Han
Cephalometric landmark detection on lateral skull X-ray images plays a crucial role in the diagnosis of certain dental diseases. Accurate and effective identification of these land…