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hello everybody and welcome to this paper walkthrough of pointnet deep learning on points as for 2d classification and segmentation so um if you have done any work on 3d deep learning then you probably already heard this paper this is probably one of the most influential papers on that space since it was the first one to propose a method which um uses um and creates a network which process directly uh 3d points without having an intermediate representation so what i mean with that is that before if we had any shape which we scan for example if you have any object that we scan with a laser scanner or some other formal scanner which basically returns 3d points so for example if we have a set of 3d points um each with x y and z coordinates what we did before pointnet and what also some other applications still do is to find another um form of representation which is easy for a network to process so for example so one thing that they used to do is for example to create 3d meshes or for ex