Abstract: In this paper, we highlight image segmentation in the field of medical diagnosis, with a special emphasis on the accurate identification of retinal vessels in fundus images. Achieving ...
Official implementation of 'Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following'. Using Point-Bind, we introduce Point-LLM, the ...
Abstract: Although supervised deep normal estimators have recently shown impressive results on synthetic benchmarks, their performance deteriorates significantly in real-world scenarios due to the ...
This starter template combines an ASP.NET API 🖥️ with a Next.js (React) web application 🌐 and an Expo (React Native) mobile app 📱 to provide a solid foundation for building full-stack applications ...
Abstract: We propose to use the nonlinearity in wavelength sweeping of a distributed feedback (DFB) diode laser to generate a reliable synthetic database implemented in a pattern recognition-based ...
Abstract: Point cloud semantic segmentation is important for road scene perception, a task for driverless vehicles to achieve full fledged autonomy. In this work, we introduce Mask Point Transformer ...
Nearly half of the databases that the Centers for Disease Control and Prevention used to update regularly — surveillance systems that tracked public health information like Covid vaccination rates and ...
Abstract: Point cloud segmentation is fundamental in many medical applications, such as aneurysm clipping and orthodontic planning. Recent methods mainly focus on designing powerful local feature ...
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