Media Summary: Authors: Myeongjun Kim; Federica Spinola; Philipp Benz; Tae-hoon Kim Description: Deep learning has become a popular tool ... ST-GCN is the first GCN-based method for the task of skeleton-based Authors: Joanna Materzynska, Tete Xiao, Roei Herzig, Huijuan Xu, Xiaolong Wang, Trevor Darrell Description: Human
A Atrous Spatial Temporal Action - Detailed Analysis & Overview
Authors: Myeongjun Kim; Federica Spinola; Philipp Benz; Tae-hoon Kim Description: Deep learning has become a popular tool ... ST-GCN is the first GCN-based method for the task of skeleton-based Authors: Joanna Materzynska, Tete Xiao, Roei Herzig, Huijuan Xu, Xiaolong Wang, Trevor Darrell Description: Human Spatio-Temporal Action Detection with Multi-Object Interaction Authors: Gurkirt Singh (ETH Zurich)*; Vasileios Choutas (ETH Zurich); Suman Saha (ETH Zurich); Fisher Yu (ETH Zurich); Luc Van ... Group 106: Spatial Temporal Convolutional Networks for Action Recognition
ACM ICMR 2026 A Unified Object Centric Spatio Temporal Graph Reasoning Framework for AVQA Referring Video Object Segmentation (RVOS) aims to segment target objects in videos based on natural language descriptions. To develop an Artificial Intelligence (AI) system that can understand the world around us, it needs to be able to interpret and ...
