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Chang Tang

4 papers hereh-index 345k citations61 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG1
same name
  • Chang Tang — 6 papers, h 4
  • Chang Tang — 4 papers, h 12
  • Chang Tang — 4 papers, h 6
  • Chang Tang — 3 papers, h 4
  • Chang Tang — 3 papers, h 14
  • Chang Tang — 2 papers, h 13

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162019
most citedDepth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks

16 citations · 20 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2018★ 16 cited

Depth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks

Pichao Wang, Wanqing Li, Zhimin Gao +2

This paper proposes three simple, compact yet effective representations of depth sequences, referred to respectively as Dynamic Depth Images (DDI), Dynamic Depth Normal Images (DDN…

cs.CV2017

Scene Flow to Action Map: A New Representation for RGB-D based Action Recognition with Convolutional Neural Networks

Pichao Wang, Wanqing Li, Zhimin Gao +3

Scene flow describes the motion of 3D objects in real world and potentially could be the basis of a good feature for 3D action recognition. However, its use for action recognition,…

cs.CV2016★ 4 cited

Combining ConvNets with Hand-Crafted Features for Action Recognition Based on an HMM-SVM Classifier

Pichao Wang, Zhaoyang Li, Yonghong Hou +1

This paper proposes a new framework for RGB-D-based action recognition that takes advantages of hand-designed features from skeleton data and deeply learned features from depth map…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.