◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Lei Wang

Griffith University

47 papers hereh-index 191.2k citations61 works total

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

author position
  • sole author2
  • first author16
  • middle author24
  • last author3

Across the 45 of 47 papers where every author was matched, so the position is known.

fields
  • cs.CV41
  • cs.HC2
  • cs.LG2
  • cs.SE1
  • eess.IV1
affiliations
  • Griffith University
Homepage
same name
  • Lei Wang — 54 papers, h 40
  • Lei Wang — 52 papers, h 21
  • Lei Wang — 51 papers, h 102
  • Lei Wang — 45 papers, h 22
  • Lei Wang — 33 papers, h 33
  • Lei Wang — 26 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
20192026
most citedA Comparative Review of Recent Kinect-based Action Recognition Algorithms

244 citations · 439 across the 46 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CV2021★ 7 cited

3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve

Lei Wang, Jun Liu, Piotr Koniusz

In this paper, we propose a Few-shot Learning pipeline for 3D skeleton-based action recognition by Joint tEmporal and cAmera viewpoiNt alIgnmEnt (JEANIE). To factor out misalignmen…

cs.CV2021★ 8 cited

Analysis and Evaluation of Kinect-based Action Recognition Algorithms

Lei Wang

Human action recognition still exists many challenging problems such as different viewpoints, occlusion, lighting conditions, human body size and the speed of action execution, alt…

cs.CV2021★ 3 cited

High-order Tensor Pooling with Attention for Action Recognition

Lei Wang, Ke Sun, Piotr Koniusz

We aim at capturing high-order statistics of feature vectors formed by a neural network, and propose end-to-end second- and higher-order pooling to form a tensor descriptor. Tensor…

cs.CV2021★ 6 cited

Fusing Higher-order Features in Graph Neural Networks for Skeleton-based Action Recognition

Zhenyue Qin, Yang Liu, Pan Ji +5

Skeleton sequences are lightweight and compact, and thus are ideal candidates for action recognition on edge devices. Recent skeleton-based action recognition methods extract featu…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.