◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Philip Ogunbona

3 papers here

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

author position
  • middle author2
  • last author1

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

fields
  • cs.CV3
ORCID 0000-0003-4119-2873

identity via Semantic Scholar / OpenAlex

most citedDeep Convolutional Neural Networks for Action Recognition Using Depth Map Sequences

36 citations · 52 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2015★ 5 cited

Learning Discriminative Bayesian Networks from High-dimensional Continuous Neuroimaging Data

Luping Zhou, Lei Wang, Lingqiao Liu +2

Due to its causal semantics, Bayesian networks (BN) have been widely employed to discover the underlying data relationship in exploratory studies, such as brain research. Despite i…

cs.CV2015★ 36 cited

Deep Convolutional Neural Networks for Action Recognition Using Depth Map Sequences

Pichao Wang, Wanqing Li, Zhimin Gao +3

Recently, deep learning approach has achieved promising results in various fields of computer vision. In this paper, a new framework called Hierarchical Depth Motion Maps (HDMM) +…

cs.CV2014★ 11 cited

Mining Mid-level Features for Action Recognition Based on Effective Skeleton Representation

Pichao Wang, Wanqing Li, Philip Ogunbona +2

Recently, mid-level features have shown promising performance in computer vision. Mid-level features learned by incorporating class-level information are potentially more discrimin…

◍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.