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UNIK: A Unified Framework for Real-world Skeleton-based Action
  Recognition

UNIK: A Unified Framework for Real-world Skeleton-based Action Recognition

19 July 2021
Di Yang
Yaohui Wang
A. Dantcheva
Lorenzo Garattoni
Gianpiero Francesca
F. Brémond
ArXivPDFHTML

Papers citing "UNIK: A Unified Framework for Real-world Skeleton-based Action Recognition"

6 / 6 papers shown
Title
MoFM: A Large-Scale Human Motion Foundation Model
MoFM: A Large-Scale Human Motion Foundation Model
Mohammadreza Baharani
Ghazal Alinezhad Noghre
Armin Danesh Pazho
Gabriel Maldonado
Hamed Tabkhi
AI4CE
47
0
0
08 Feb 2025
SkeleTR: Towrads Skeleton-based Action Recognition in the Wild
SkeleTR: Towrads Skeleton-based Action Recognition in the Wild
Haodong Duan
Mingze Xu
Bing Shuai
Davide Modolo
Zhuowen Tu
Joseph Tighe
Alessandro Bergamo
ViT
20
1
0
20 Sep 2023
Topic Detection in Continuous Sign Language Videos
Topic Detection in Continuous Sign Language Videos
Álvaro Budria
Laia Tarrés
Gerard I. Gállego
Francesc Moreno-Noguer
Jordi Torres
Xavier Giró-i-Nieto
SLR
VLM
20
1
0
01 Sep 2022
3D Human Action Representation Learning via Cross-View Consistency
  Pursuit
3D Human Action Representation Learning via Cross-View Consistency Pursuit
Linguo Li
Minsi Wang
Bingbing Ni
Hang Wang
Jiancheng Yang
Wenjun Zhang
108
154
0
29 Apr 2021
InMoDeGAN: Interpretable Motion Decomposition Generative Adversarial
  Network for Video Generation
InMoDeGAN: Interpretable Motion Decomposition Generative Adversarial Network for Video Generation
Yaohui Wang
F. Brémond
A. Dantcheva
VGen
GAN
135
22
0
08 Jan 2021
Stronger, Faster and More Explainable: A Graph Convolutional Baseline
  for Skeleton-based Action Recognition
Stronger, Faster and More Explainable: A Graph Convolutional Baseline for Skeleton-based Action Recognition
Yisheng Song
Zhang Zhang
Caifeng Shan
Liang Wang
117
230
0
20 Oct 2020
1