234 citations · 824 across the 36 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.CV2018★ 23 cited
StNet: Local and Global Spatial-Temporal Modeling for Action Recognition
Dongliang He, Zhichao Zhou, Chuang Gan +5
Despite the success of deep learning for static image understanding, it remains unclear what are the most effective network architectures for the spatial-temporal modeling in video…
cs.CV2018★ 16 cited
Solution for Large-Scale Hierarchical Object Detection Datasets with Incomplete Annotation and Data Imbalance
Yuan Gao, Xingyuan Bu, Yang Hu +4
This report demonstrates our solution for the Open Images 2018 Challenge. Based on our detailed analysis on the Open Images Datasets (OID), it is found that there are four typical…
cs.CV2018★ 20 cited
Exploiting Spatial-Temporal Modelling and Multi-Modal Fusion for Human Action Recognition
Dongliang He, Fu Li, Qijie Zhao +3
In this report, our approach to tackling the task of ActivityNet 2018 Kinetics-600 challenge is described in detail. Though spatial-temporal modelling methods, which adopt either s…