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20162024
most citedSkeleton-based Action Recognition with Convolutional Neural Networks

284 citations · 637 across the 43 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 11 cited

A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data

Xianfeng Li, Weijie Chen, Di Xie +4

Unsupervised domain adaptation (UDA) assumes that source and target domain data are freely available and usually trained together to reduce the domain gap. However, considering the…

cs.CV2020★ 24 cited

Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition

Fanfan Ye, Shiliang Pu, Qiaoyong Zhong +3

Graph Convolutional Networks (GCNs) have attracted increasing interests for the task of skeleton-based action recognition. The key lies in the design of the graph structure, which…

cs.CV2020★ 2 cited

Unsupervised Image Classification for Deep Representation Learning

Weijie Chen, Shiliang Pu, Di Xie +3

Deep clustering against self-supervised learning is a very important and promising direction for unsupervised visual representation learning since it requires little domain knowled…

cs.CV2020★ 2 cited

IROS 2019 Lifelong Robotic Vision Challenge -- Lifelong Object Recognition Report

Qi She, Fan Feng, Qi Liu +33

This report summarizes IROS 2019-Lifelong Robotic Vision Competition (Lifelong Object Recognition Challenge) with methods and results from the top finalists (out of over~…

cs.CV2020★ 1 cited

Neural Inheritance Relation Guided One-Shot Layer Assignment Search

Rang Meng, Weijie Chen, Di Xie +2

Layer assignment is seldom picked out as an independent research topic in neural architecture search. In this paper, for the first time, we systematically investigate the impact of…