Abstract: Monocular 3D object detection has gained considerable attention because of its cost-effectiveness and practical applicability, particularly in autonomous driving and robotics. Most of ...
Abstract: 3D object detection in driving scenarios is particularly challenging due to factors such as sensor noise, occlusions, and the inherent sparsity of LiDAR point clouds, which can lead to the ...
#undef org_lwjgl_opengl_EXTTransformFeedback_GL_TRANSFORM_FEEDBACK_BUFFER_EXT #define org_lwjgl_opengl_EXTTransformFeedback_GL_TRANSFORM_FEEDBACK_BUFFER_EXT 35982L # ...
#undef org_lwjgl_opengl_EXTVertexAttrib64bit_GL_DOUBLE_VEC2_EXT #define org_lwjgl_opengl_EXTVertexAttrib64bit_GL_DOUBLE_VEC2_EXT 36860L #undef org_lwjgl_opengl ...
Industrial additive manufacturing was the birthplace of desktop 3D printing, but industrial use-cases have evolved into an increasingly useful tool for large-scale production. The focus isn't on ...
Apple researchers have created an AI model that reconstructs a 3D object from a single image, while keeping reflections, highlights, and other effects consistent across different viewing angles. Here ...
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