From Category to Scenery: An End-to-End Framework for Multi-Person Human-Object Interaction Recognition in Videos

1 July 2024

Papers citing "From Category to Scenery: An End-to-End Framework for Multi-Person Human-Object Interaction Recognition in Videos"

6 / 6 papers shown

Title
Understanding Spatio-Temporal Relations in Human-Object Interaction using Pyramid Graph Convolutional Network Hao Xing Darius Burschka 36 11 0 10 Oct 2024
BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues Hung Le Doyen Sahoo Nancy F. Chen S. Hoi 38 30 0 20 Oct 2020
L $^2$ -GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks Yuning You Tianlong Chen Zhangyang Wang Yang Shen GNN 101 82 0 30 Mar 2020
VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions Oytun Ulutan A S M Iftekhar B. S. Manjunath 63 186 0 11 Mar 2020
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 84 5,283 0 03 Nov 2016
Learning Human Activities and Object Affordances from RGB-D Videos H. Koppula Rudhir Gupta Ashutosh Saxena 93 726 0 04 Oct 2012