Reviews: Volumetric Correspondence Networks for Optical Flow

I vote for rejecting this submission from Neurips 2019. For once, it has severe presentation issues. Besides a fairly high number of typos and formatting issues, the explanations in the paper are at times lacking and counter intuitive, especially in the method part 3. The overview over the network architecture in Figure 3 needs to be explained more thoroughly such that it stands for itself. Regarding the method itself, the contribution over prior work is unfortunately not entirely clear to me. The main claim for novelty is an application of a truly 4D cost volume processing in contrast to state-of-the-art methods that "reshape the 4D cost volume as a multichannel 2D array with N U V channels" [9,...] (l. However, Flownet [9] which the authors refer to in this context does nothing of the sort, instead they extract patch-wise features for both input images and correlate pairs of patches to get a notion of correspondence.