ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1411.6660
  4. Cited By
Beyond Gaussian Pyramid: Multi-skip Feature Stacking for Action
  Recognition
v1v2v3v4 (latest)

Beyond Gaussian Pyramid: Multi-skip Feature Stacking for Action Recognition

Computer Vision and Pattern Recognition (CVPR), 2014
24 November 2014
Zhenzhong Lan
Ming Lin
Xuanchong Li
Alexander G. Hauptmann
Bhiksha Raj
ArXiv (abs)PDFHTML

Papers citing "Beyond Gaussian Pyramid: Multi-skip Feature Stacking for Action Recognition"

27 / 77 papers shown
VideoLSTM Convolves, Attends and Flows for Action Recognition
VideoLSTM Convolves, Attends and Flows for Action RecognitionComputer Vision and Image Understanding (CVIU), 2016
Zhenyang Li
E. Gavves
Mihir Jain
Cees G. M. Snoek
240
477
0
06 Jul 2016
Strategies for Searching Video Content with Text Queries or Video
  Examples
Strategies for Searching Video Content with Text Queries or Video Examples
Shoou-I Yu
Yi Yang
Zhongwen Xu
Shicheng Xu
Deyu Meng
...
Lu Jiang
Alexander G. Hauptmann
Chuang Gan
Xingzhong Du
Xiaojun Chang
78
2
0
17 Jun 2016
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
Hirokatsu Kataoka
Yudai Miyashita
Tomoaki K. Yamabe
Soma Shirakabe
Shin-ichi Sato
...
Kaori Abe
Takaaki Imanari
Naomichi Kobayashi
Shinichiro Morita
Akio Nakamura
151
2
0
26 May 2016
Going Deeper into Action Recognition: A Survey
Going Deeper into Action Recognition: A Survey
Samitha Herath
Mehrtash Harandi
Fatih Porikli
205
635
0
16 May 2016
Improved Dense Trajectory with Cross Streams
Improved Dense Trajectory with Cross Streams
Katsunori Ohnishi
Masatoshi Hidaka
Tatsuya Harada
145
15
0
29 Apr 2016
The THUMOS Challenge on Action Recognition for Videos "in the Wild"
The THUMOS Challenge on Action Recognition for Videos "in the Wild"
Haroon Idrees
Amir Zamir
Yu-Gang Jiang
Alexander N. Gorban
Ivan Laptev
Rahul Sukthankar
M. Shah
296
814
0
21 Apr 2016
Long-term Temporal Convolutions for Action Recognition
Long-term Temporal Convolutions for Action Recognition
Gül Varol
Ivan Laptev
Cordelia Schmid
252
941
0
15 Apr 2016
Learning Discriminative Features via Label Consistent Neural Network
Learning Discriminative Features via Label Consistent Neural Network
Zhuolin Jiang
Yaming Wang
L. Davis
Walter Andrews
Viktor Rozgic
SSL
184
29
0
03 Feb 2016
Order-aware Convolutional Pooling for Video Based Action Recognition
Order-aware Convolutional Pooling for Video Based Action Recognition
Peng Wang
Lingqiao Liu
Chunhua Shen
Heng Tao Shen
174
25
0
31 Jan 2016
Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs
Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs
Zheng Shou
Dongang Wang
Shih-Fu Chang
180
41
0
09 Jan 2016
Do Less and Achieve More: Training CNNs for Action Recognition Utilizing
  Action Images from the Web
Do Less and Achieve More: Training CNNs for Action Recognition Utilizing Action Images from the Web
Shugao Ma
Sarah Adel Bargal
Jianming Zhang
Leonid Sigal
Stan Sclaroff
186
74
0
22 Dec 2015
Harnessing the Deep Net Object Models for Enhancing Human Action
  Recognition
Harnessing the Deep Net Object Models for Enhancing Human Action Recognition
O. V. R. Murthy
Roland Göcke
116
2
0
21 Dec 2015
RNN Fisher Vectors for Action Recognition and Image Annotation
RNN Fisher Vectors for Action Recognition and Image Annotation
Guy Lev
Gil Sadeh
Benjamin Klein
Lior Wolf
143
169
0
12 Dec 2015
Improving Human Activity Recognition Through Ranking and Re-ranking
Improving Human Activity Recognition Through Ranking and Re-ranking
Zhenzhong Lan
Shoou-I Yu
Alexander G. Hauptmann
AI4TS
114
4
0
11 Dec 2015
Actions ~ Transformations
Actions ~ Transformations
Xinyu Wang
Ali Farhadi
Abhinav Gupta
265
240
0
02 Dec 2015
Delving Deeper into Convolutional Networks for Learning Video
  Representations
Delving Deeper into Convolutional Networks for Learning Video Representations
Nicolas Ballas
Weitong Chen
C. Pal
Aaron Courville
MDE
301
759
0
19 Nov 2015
Handcrafted Local Features are Convolutional Neural Networks
Handcrafted Local Features are Convolutional Neural Networks
Zhenzhong Lan
Shoou-I Yu
Ming Lin
Bhiksha Raj
Alexander G. Hauptmann
204
9
0
16 Nov 2015
Action Recognition using Visual Attention
Action Recognition using Visual Attention
Shikhar Sharma
Ryan Kiros
Ruslan Salakhutdinov
340
677
0
12 Nov 2015
Fusing Multi-Stream Deep Networks for Video Classification
Fusing Multi-Stream Deep Networks for Video Classification
Zuxuan Wu
Yu-Gang Jiang
Xi Wang
Hao Ye
Xiangyang Xue
Jun Wang
187
48
0
21 Sep 2015
Towards Good Practices for Very Deep Two-Stream ConvNets
Towards Good Practices for Very Deep Two-Stream ConvNets
Limin Wang
Yuanjun Xiong
Zhe Wang
Yu Qiao
246
456
0
08 Jul 2015
Efficient Large Scale Video Classification
Efficient Large Scale Video Classification
Balakrishnan Varadarajan
G. Toderici
Sudheendra Vijayanarasimhan
Apostol Natsev
166
24
0
22 May 2015
The Best of Both Worlds: Combining Data-independent and Data-driven
  Approaches for Action Recognition
The Best of Both Worlds: Combining Data-independent and Data-driven Approaches for Action Recognition
Zhenzhong Lan
Dezhong Yao
Ming Lin
Shoou-I Yu
Alexander G. Hauptmann
163
11
0
17 May 2015
Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for
  Video Classification
Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video ClassificationACM Multimedia (ACM MM), 2015
Zuxuan Wu
Xi Wang
Yu-Gang Jiang
Hao Ye
Xiangyang Xue
169
460
0
07 Apr 2015
Initialization Strategies of Spatio-Temporal Convolutional Neural
  Networks
Initialization Strategies of Spatio-Temporal Convolutional Neural Networks
Elman Mansimov
Nitish Srivastava
Ruslan Salakhutdinov
3DPC
170
35
0
25 Mar 2015
Exploiting Image-trained CNN Architectures for Unconstrained Video
  Classification
Exploiting Image-trained CNN Architectures for Unconstrained Video Classification
Shengxin Cindy Zha
F. Luisier
Walter Andrews
Nitish Srivastava
Ruslan Salakhutdinov
223
206
0
13 Mar 2015
Exploiting Feature and Class Relationships in Video Categorization with
  Regularized Deep Neural Networks
Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks
Yu-Gang Jiang
Zuxuan Wu
Jun Wang
Xiangyang Xue
Shih-Fu Chang
244
381
0
25 Feb 2015
Unsupervised Learning of Video Representations using LSTMs
Unsupervised Learning of Video Representations using LSTMs
Nitish Srivastava
Elman Mansimov
Ruslan Salakhutdinov
SSL
577
2,685
0
16 Feb 2015
Previous
12