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. 1611.07810
  4. Cited By
A dataset and exploration of models for understanding video data through
  fill-in-the-blank question-answering

A dataset and exploration of models for understanding video data through fill-in-the-blank question-answering

23 November 2016
Tegan Maharaj
Nicolas Ballas
Anna Rohrbach
Aaron Courville
C. Pal
    VGen
ArXivPDFHTML

Papers citing "A dataset and exploration of models for understanding video data through fill-in-the-blank question-answering"

28 / 28 papers shown
Title
Video Fill in the Blank with Merging LSTMs
Video Fill in the Blank with Merging LSTMs
Amir Mazaheri
Dong Zhang
M. Shah
62
18
0
13 Oct 2016
End-to-end Concept Word Detection for Video Captioning, Retrieval, and
  Question Answering
End-to-end Concept Word Detection for Video Captioning, Retrieval, and Question Answering
Youngjae Yu
Hyungjin Ko
Jongwook Choi
Gunhee Kim
115
231
0
10 Oct 2016
Movie Description
Movie Description
Anna Rohrbach
Atousa Torabi
Marcus Rohrbach
Niket Tandon
C. Pal
Hugo Larochelle
Aaron Courville
Bernt Schiele
3DV
VGen
73
357
0
12 May 2016
Recurrent Batch Normalization
Recurrent Batch Normalization
Tim Cooijmans
Nicolas Ballas
César Laurent
Çağlar Gülçehre
Aaron Courville
ODL
46
410
0
30 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.9K
193,426
0
10 Dec 2015
MovieQA: Understanding Stories in Movies through Question-Answering
MovieQA: Understanding Stories in Movies through Question-Answering
Makarand Tapaswi
Yukun Zhu
Rainer Stiefelhagen
Antonio Torralba
R. Urtasun
Sanja Fidler
101
742
0
09 Dec 2015
Delving Deeper into Convolutional Networks for Learning Video
  Representations
Delving Deeper into Convolutional Networks for Learning Video Representations
Nicolas Ballas
L. Yao
C. Pal
Aaron Courville
MDE
82
699
0
19 Nov 2015
Uncovering Temporal Context for Video Question and Answering
Uncovering Temporal Context for Video Question and Answering
Linchao Zhu
Zhongwen Xu
Yi Yang
Alexander G. Hauptmann
BDL
59
45
0
15 Nov 2015
Visual Madlibs: Fill in the blank Image Generation and Question
  Answering
Visual Madlibs: Fill in the blank Image Generation and Question Answering
Licheng Yu
Eunbyung Park
Alexander C. Berg
Tamara L. Berg
VLM
MLLM
92
97
0
31 May 2015
Exploring Models and Data for Image Question Answering
Exploring Models and Data for Image Question Answering
Mengye Ren
Ryan Kiros
R. Zemel
80
715
0
08 May 2015
VQA: Visual Question Answering
VQA: Visual Question Answering
Aishwarya Agrawal
Jiasen Lu
Stanislaw Antol
Margaret Mitchell
C. L. Zitnick
Dhruv Batra
Devi Parikh
CoGe
168
5,452
0
03 May 2015
Using Descriptive Video Services to Create a Large Data Source for Video
  Annotation Research
Using Descriptive Video Services to Create a Large Data Source for Video Annotation Research
Atousa Torabi
C. Pal
Hugo Larochelle
Aaron Courville
VGen
81
205
0
03 Mar 2015
Describing Videos by Exploiting Temporal Structure
Describing Videos by Exploiting Temporal Structure
L. Yao
Atousa Torabi
Kyunghyun Cho
Nicolas Ballas
C. Pal
Hugo Larochelle
Aaron Courville
139
1,063
0
27 Feb 2015
Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks
Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks
Jason Weston
Antoine Bordes
S. Chopra
Alexander M. Rush
Bart van Merriënboer
Armand Joulin
Tomas Mikolov
LRM
ELM
133
1,180
0
19 Feb 2015
Unsupervised Learning of Video Representations using LSTMs
Unsupervised Learning of Video Representations using LSTMs
Nitish Srivastava
Elman Mansimov
Ruslan Salakhutdinov
SSL
130
2,589
0
16 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
415
43,234
0
11 Feb 2015
A Dataset for Movie Description
A Dataset for Movie Description
Anna Rohrbach
Marcus Rohrbach
Niket Tandon
Bernt Schiele
VGen
100
499
0
12 Jan 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.4K
149,842
0
22 Dec 2014
Translating Videos to Natural Language Using Deep Recurrent Neural
  Networks
Translating Videos to Natural Language Using Deep Recurrent Neural Networks
Subhashini Venugopalan
Huijuan Xu
Jeff Donahue
Marcus Rohrbach
Raymond J. Mooney
Kate Saenko
108
952
0
15 Dec 2014
CIDEr: Consensus-based Image Description Evaluation
CIDEr: Consensus-based Image Description Evaluation
Ramakrishna Vedantam
C. L. Zitnick
Devi Parikh
250
4,471
0
20 Nov 2014
Long-term Recurrent Convolutional Networks for Visual Recognition and
  Description
Long-term Recurrent Convolutional Networks for Visual Recognition and Description
Jeff Donahue
Lisa Anne Hendricks
Marcus Rohrbach
Subhashini Venugopalan
S. Guadarrama
Kate Saenko
Trevor Darrell
VLM
136
6,048
0
17 Nov 2014
A Multi-World Approach to Question Answering about Real-World Scenes
  based on Uncertain Input
A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input
Mateusz Malinowski
Mario Fritz
191
696
0
01 Oct 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
397
43,589
0
17 Sep 2014
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
370
20,518
0
10 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.3K
100,213
0
04 Sep 2014
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
825
23,310
0
03 Jun 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
367
43,524
0
01 May 2014
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
351
33,500
0
16 Oct 2013
1