Direct Multi-view Multi-person 3D Pose Estimation (Supplementary Material) Tao Wang

Figure S1: (a) Illustration of the proposed hierarchical query embedding and the input-dependent query adaptation schemes. It consist of a self-attention, a projective attention and a feed-forward network (FFN) with residual connections. Fig. S1 (a) illustrates our proposed hierarchical query The decoder of MvP transformer consists of multiple decoder layers for regressing 3D joint locations progressively. Fig. S1 (b) demonstrates the detailed architecture of a decoder layer, Results are shown in Table S1. Table S1: Results of replacing camera ray directions with 2D coordinates in RayConv.Positional Input AP We further investigate the effectiveness of the proposed projective attention by comparing it with the dense dot product attention, i.e., conducting Results are given in Table S2.