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Mining YouTube - A dataset for learning fine-grained action concepts
  from webly supervised video data

Mining YouTube - A dataset for learning fine-grained action concepts from webly supervised video data

3 June 2019
Hilde Kuehne
Ahsan Iqbal
Alexander Richard
Juergen Gall
ArXivPDFHTML

Papers citing "Mining YouTube - A dataset for learning fine-grained action concepts from webly supervised video data"

12 / 12 papers shown
Title
ConvGRU in Fine-grained Pitching Action Recognition for Action Outcome
  Prediction
ConvGRU in Fine-grained Pitching Action Recognition for Action Outcome Prediction
Tianqi Ma
Lin Zhang
Xiumin Diao
Ou Ma
40
3
0
18 Aug 2020
Weakly-Supervised Action Segmentation with Iterative Soft Boundary
  Assignment
Weakly-Supervised Action Segmentation with Iterative Soft Boundary Assignment
Li Ding
Chenliang Xu
83
180
0
28 Mar 2018
AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual
  Actions
AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions
Chunhui Gu
Chen Sun
David A. Ross
Carl Vondrick
C. Pantofaru
...
G. Toderici
Susanna Ricco
Rahul Sukthankar
Cordelia Schmid
Jitendra Malik
VGen
101
1,030
0
23 May 2017
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
João Carreira
Andrew Zisserman
219
8,012
0
22 May 2017
Weakly Supervised Action Learning with RNN based Fine-to-coarse Modeling
Weakly Supervised Action Learning with RNN based Fine-to-coarse Modeling
Alexander Richard
Hilde Kuehne
Juergen Gall
47
197
0
23 Mar 2017
Temporal Segment Networks: Towards Good Practices for Deep Action
  Recognition
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
Limin Wang
Yuanjun Xiong
Zhe Wang
Yu Qiao
Dahua Lin
Xiaoou Tang
Luc Van Gool
ViT
98
3,831
0
02 Aug 2016
Connectionist Temporal Modeling for Weakly Supervised Action Labeling
Connectionist Temporal Modeling for Weakly Supervised Action Labeling
De-An Huang
Li Fei-Fei
Juan Carlos Niebles
66
238
0
28 Jul 2016
Hollywood in Homes: Crowdsourcing Data Collection for Activity
  Understanding
Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding
Gunnar Sigurdsson
Gül Varol
Xinyu Wang
Ali Farhadi
Ivan Laptev
Abhinav Gupta
VGen
92
856
0
06 Apr 2016
Unsupervised Learning from Narrated Instruction Videos
Unsupervised Learning from Narrated Instruction Videos
Jean-Baptiste Alayrac
Piotr Bojanowski
Nishant Agrawal
Josef Sivic
Ivan Laptev
Simon Lacoste-Julien
SSL
80
289
0
30 Jun 2015
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence
  Modeling
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
572
12,702
0
11 Dec 2014
Weakly Supervised Action Labeling in Videos Under Ordering Constraints
Weakly Supervised Action Labeling in Videos Under Ordering Constraints
Piotr Bojanowski
Rémi Lajugie
Francis R. Bach
Ivan Laptev
Jean Ponce
Cordelia Schmid
Josef Sivic
60
237
0
04 Jul 2014
Two-Stream Convolutional Networks for Action Recognition in Videos
Two-Stream Convolutional Networks for Action Recognition in Videos
Karen Simonyan
Andrew Zisserman
240
7,535
0
09 Jun 2014
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