Achieving accurate and efficient object pose estimation is a key goal in computer vision. Most existing methods rely on controlled environments, limiting their effectiveness in complex, dynamic, and unstructured real-world scenarios, especially for novel objects, severe occlusion, or sensor noise. Recent studies show t...
Hui Zhang, Yue Wang, Jian-Hao Jiao et al.· IEEE Transactions on Automat...· 0 citations
DeepCard is a multi-task deep learning system that produces standardized, reproducible interpretation of pre-measured echocardiographic parameters by jointly analyzing 39 quantitative measurements across 17 diagnostic tasks spanning valvular disease, ventricular dysfunction, and structural abnormalities.
Zhihong Wen, Xiang-Peng Liu, Yi Liu et al.· iScience· 0 citations
A novel 7-DoF grasping pose generation framework that integrates sparse attention and null convolution is introduced, which enhances the model’s ability to capture fine-grained features from point clouds, significantly improving the accuracy of parallel gripping pose estimation.
Hui Zhang, Yue Wang, Kang An et al.· Signal, Image and Video Proc...· 0 citations
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