activity
20092026
most citedNTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding

1.8k citations · 2k across the 38 of their papers we have counts for

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Showing 2019Show all

8 papers · 1 filter

cs.NI201914 cited

MAC Protocols for Wireless Mesh Networks with Multi-beam Antennas: A Survey

Gang Wang, Yanyuan Qin

Multi-beam antenna technologies have provided lots of promising solutions to many current challenges faced in wireless mesh networks. The antenna can establish several beamformings…

cs.CV2019

Boundary-Aware Feature Propagation for Scene Segmentation

Henghui Ding, Xudong Jiang, Ai Qun Liu +2

In this work, we address the challenging issue of scene segmentation. To increase the feature similarity of the same object while keeping the feature discrimination of different ob…

cs.CV20191.8k cited

NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding

Jun Liu, Amir Shahroudy, Mauricio Perez +3

Research on depth-based human activity analysis achieved outstanding performance and demonstrated the effectiveness of 3D representation for action recognition. The existing depth-…

cs.CV20192 cited

Skeleton-Based Online Action Prediction Using Scale Selection Network

Jun Liu, Amir Shahroudy, Gang Wang +2

Action prediction is to recognize the class label of an ongoing activity when only a part of it is observed. In this paper, we focus on online action prediction in streaming 3D ske…

cs.CV2019

Unpaired Image Captioning via Scene Graph Alignments

Jiuxiang Gu, Shafiq Joty, Jianfei Cai +3

Most of current image captioning models heavily rely on paired image-caption datasets. However, getting large scale image-caption paired data is labor-intensive and time-consuming.…

cs.RO20191 cited

2D LiDAR Map Prediction via Estimating Motion Flow with GRU

Yafei Song, Yonghong Tian, Gang Wang +1

It is a significant problem to predict the 2D LiDAR map at next moment for robotics navigation and path-planning. To tackle this problem, we resort to the motion flow between adjac…