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. 1806.07754
  4. Cited By
Spatio-Temporal Channel Correlation Networks for Action Classification

Spatio-Temporal Channel Correlation Networks for Action Classification

19 June 2018
Ali Diba
Mohsen Fayyaz
Vivek Sharma
M. M. Arzani
Rahman Yousefzadeh
Juergen Gall
Luc Van Gool
    3DPC
ArXivPDFHTML

Papers citing "Spatio-Temporal Channel Correlation Networks for Action Classification"

17 / 17 papers shown
Title
Continuous Sign Language Recognition Based on Motor attention mechanism
  and frame-level Self-distillation
Continuous Sign Language Recognition Based on Motor attention mechanism and frame-level Self-distillation
Qidan Zhu
Jing Li
Fei Yuan
Quan Gan
SLR
41
3
0
29 Feb 2024
DroneAttention: Sparse Weighted Temporal Attention for Drone-Camera
  Based Activity Recognition
DroneAttention: Sparse Weighted Temporal Attention for Drone-Camera Based Activity Recognition
Santosh Kumar Yadav
Achleshwar Luthra
Esha Pahwa
K. Tiwari
Heena Rathore
Hari Mohan Pandey
Peter Corcoran
22
12
0
07 Dec 2022
VLG: General Video Recognition with Web Textual Knowledge
VLG: General Video Recognition with Web Textual Knowledge
Jintao Lin
Zhaoyang Liu
Wenhai Wang
Wayne Wu
Limin Wang
37
0
0
03 Dec 2022
MAR: Masked Autoencoders for Efficient Action Recognition
MAR: Masked Autoencoders for Efficient Action Recognition
Zhiwu Qing
Shiwei Zhang
Ziyuan Huang
Xiang Wang
Yuehuang Wang
Yiliang Lv
Changxin Gao
Nong Sang
19
42
0
24 Jul 2022
Temporal-attentive Covariance Pooling Networks for Video Recognition
Temporal-attentive Covariance Pooling Networks for Video Recognition
Zilin Gao
Qilong Wang
Bingbing Zhang
Q. Hu
P. Li
11
24
0
27 Oct 2021
Deep Analysis of CNN-based Spatio-temporal Representations for Action
  Recognition
Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition
Chun-Fu Chen
Rameswar Panda
K. Ramakrishnan
Rogerio Feris
J. M. Cohn
A. Oliva
Quanfu Fan
21
95
0
22 Oct 2020
Learning to Sort Image Sequences via Accumulated Temporal Differences
Learning to Sort Image Sequences via Accumulated Temporal Differences
Gagan Kanojia
S. Raman
14
0
0
22 Oct 2020
Making a Case for 3D Convolutions for Object Segmentation in Videos
Making a Case for 3D Convolutions for Object Segmentation in Videos
Sabarinath Mahadevan
A. Athar
Aljosa Osep
Sebastian Hennen
Laura Leal-Taixé
Bastian Leibe
VOS
11
86
0
26 Aug 2020
X3D: Expanding Architectures for Efficient Video Recognition
X3D: Expanding Architectures for Efficient Video Recognition
Christoph Feichtenhofer
66
998
0
09 Apr 2020
Fine-Grained Instance-Level Sketch-Based Video Retrieval
Fine-Grained Instance-Level Sketch-Based Video Retrieval
Peng-Tao Xu
Kun Liu
Tao Xiang
Timothy M. Hospedales
Zhanyu Ma
Jun Guo
Yi-Zhe Song
13
32
0
21 Feb 2020
Audiovisual SlowFast Networks for Video Recognition
Audiovisual SlowFast Networks for Video Recognition
Fanyi Xiao
Yong Jae Lee
Kristen Grauman
Jitendra Malik
Christoph Feichtenhofer
192
205
0
23 Jan 2020
More Is Less: Learning Efficient Video Representations by Big-Little
  Network and Depthwise Temporal Aggregation
More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation
Quanfu Fan
Chun-Fu Chen
Hilde Kuehne
Marco Pistoia
David D. Cox
16
126
0
02 Dec 2019
Video Action Recognition Via Neural Architecture Searching
Video Action Recognition Via Neural Architecture Searching
Wei Peng
Xiaopeng Hong
Guoying Zhao
33
36
0
10 Jul 2019
Large Scale Holistic Video Understanding
Large Scale Holistic Video Understanding
Ali Diba
Mohsen Fayyaz
Vivek Sharma
Manohar Paluri
Jurgen Gall
Rainer Stiefelhagen
Luc Van Gool
18
35
0
25 Apr 2019
DynamoNet: Dynamic Action and Motion Network
DynamoNet: Dynamic Action and Motion Network
Ali Diba
Vivek Sharma
Luc Van Gool
Rainer Stiefelhagen
16
110
0
25 Apr 2019
Collaborative Spatio-temporal Feature Learning for Video Action
  Recognition
Collaborative Spatio-temporal Feature Learning for Video Action Recognition
C. Li
Qiaoyong Zhong
Di Xie
Shiliang Pu
6
82
0
04 Mar 2019
DistInit: Learning Video Representations Without a Single Labeled Video
DistInit: Learning Video Representations Without a Single Labeled Video
Rohit Girdhar
Du Tran
Lorenzo Torresani
Deva Ramanan
19
54
0
26 Jan 2019
1