3 citations · 10 across the 16 of their papers we have counts for
14 papers · 1 filter
Beyond Random Sampling: Distribution-Aware Alignment for Semi-Supervised Medical Image Segmentation
Weihao Yan, Yeqiang Qian, Yi Dong +1
Precise medical image segmentation is crucial for clinical diagnosis and treatment planning, yet relies heavily on expensive expert annotations. Semi-supervised medical image segme…
RadarXFormer: Robust Object Detection via Cross-Dimension Fusion of 4D Radar Spectra and Images for Autonomous Driving
Yue Sun, Yeqiang Qian, Zhe Wang +3
Reliable perception is essential for autonomous driving systems to operate safely under diverse real-world traffic conditions. However, camera- and LiDAR-based perception systems s…
Zero-Shot UAV Navigation in Forests via Relightable 3D Gaussian Splatting
Zinan Lv, Yeqian Qian, Chen Sang +3
UAV navigation in unstructured outdoor environments using passive monocular vision is hindered by the substantial visual domain gap between simulation and reality. While 3D Gaussia…
Weather-Magician: Reconstruction and Rendering Framework for 4D Weather Synthesis In Real Time
Chen Sang, Yeqiang Qian, Jiale Zhang +2
For tasks such as urban digital twins, VR/AR/game scene design, or creating synthetic films, the traditional industrial approach often involves manually modeling scenes and using v…
Depth-aware Fusion Method based on Image and 4D Radar Spectrum for 3D Object Detection
Yue Sun, Yeqiang Qian, Chunxiang Wang +1
Safety and reliability are crucial for the public acceptance of autonomous driving. To ensure accurate and reliable environmental perception, intelligent vehicles must exhibit accu…
SS-ADA: A Semi-Supervised Active Domain Adaptation Framework for Semantic Segmentation
Weihao Yan, Yeqiang Qian, Yueyuan Li +3
Semantic segmentation plays an important role in intelligent vehicles, providing pixel-level semantic information about the environment. However, the labeling budget is expensive a…