From the browser to the back end, the ‘boring’ choice is exciting again. We look at three trends converging to bring SQL back ...
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 ...
Abstract: Accurately describing and detecting 2D and 3D key-points is crucial to establishing correspondences across images and point clouds. Despite a plethora of learning-based 2D or 3D local ...
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 ...
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