ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2109.08472
  4. Cited By
ActionCLIP: A New Paradigm for Video Action Recognition

ActionCLIP: A New Paradigm for Video Action Recognition

17 September 2021
Mengmeng Wang
Jiazheng Xing
Yong Liu
    VLM
ArXivPDFHTML

Papers citing "ActionCLIP: A New Paradigm for Video Action Recognition"

8 / 8 papers shown
Title
CoCoDiff: Diversifying Skeleton Action Features via Coarse-Fine Text-Co-Guided Latent Diffusion
CoCoDiff: Diversifying Skeleton Action Features via Coarse-Fine Text-Co-Guided Latent Diffusion
Zhifu Zhao
Hanyang Hua
J. Li
Shaoxin Wu
Fu Li
Yangtao Zhou
Yang Li
DiffM
51
0
0
30 Apr 2025
M2R2: MulitModal Robotic Representation for Temporal Action Segmentation
M2R2: MulitModal Robotic Representation for Temporal Action Segmentation
Daniel Sliwowski
Dongheui Lee
12
24
0
25 Apr 2025
Dynamic Scene Understanding from Vision-Language Representations
Dynamic Scene Understanding from Vision-Language Representations
Shahaf Pruss
Morris Alper
Hadar Averbuch-Elor
OCL
43
0
0
20 Jan 2025
Is Space-Time Attention All You Need for Video Understanding?
Is Space-Time Attention All You Need for Video Understanding?
Gedas Bertasius
Heng Wang
Lorenzo Torresani
ViT
261
1,486
0
09 Feb 2021
Video Transformer Network
Video Transformer Network
Daniel Neimark
Omri Bar
Maya Zohar
Dotan Asselmann
ViT
178
375
0
01 Feb 2021
Depthwise Spatio-Temporal STFT Convolutional Neural Networks for Human
  Action Recognition
Depthwise Spatio-Temporal STFT Convolutional Neural Networks for Human Action Recognition
Sudhakar Kumawat
Manisha Verma
Yuta Nakashima
S. Raman
104
37
0
22 Jul 2020
Rethinking Zero-shot Video Classification: End-to-end Training for
  Realistic Applications
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
Biagio Brattoli
Joseph Tighe
Fedor Zhdanov
Pietro Perona
Krzysztof Chalupka
VLM
101
119
0
03 Mar 2020
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
218
29,632
0
16 Jan 2013
1