baller2vec: A Multi-Entity Transformer For Multi-Agent Spatiotemporal Modeling

5 February 2021

Papers citing "baller2vec: A Multi-Entity Transformer For Multi-Agent Spatiotemporal Modeling"

3 / 3 papers shown

Title
AQuaMaM: An Autoregressive, Quaternion Manifold Model for Rapidly Estimating Complex SO(3) Distributions Michael A. Alcorn 16 0 0 21 Jan 2023
Transformer Networks for Trajectory Forecasting Francesco Giuliari Irtiza Hasan Marco Cristani Fabio Galasso 111 365 0 18 Mar 2020
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 31,150 0 16 Jan 2013