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Unsupervised Learning of Video Representations using LSTMs

Unsupervised Learning of Video Representations using LSTMs

16 February 2015
Nitish Srivastava
Elman Mansimov
Ruslan Salakhutdinov
    SSL
ArXivPDFHTML

Papers citing "Unsupervised Learning of Video Representations using LSTMs"

50 / 469 papers shown
Title
DynamoNet: Dynamic Action and Motion Network
DynamoNet: Dynamic Action and Motion Network
Ali Diba
Vivek Sharma
Luc Van Gool
Rainer Stiefelhagen
30
110
0
25 Apr 2019
FishNet: A Camera Localizer using Deep Recurrent Networks
FishNet: A Camera Localizer using Deep Recurrent Networks
Hsin-I Chen
Sebastian Agethen
Chia-Min Wu
Winston H. Hsu
Bing-Yu Chen
16
0
0
22 Apr 2019
Cycle-SUM: Cycle-consistent Adversarial LSTM Networks for Unsupervised
  Video Summarization
Cycle-SUM: Cycle-consistent Adversarial LSTM Networks for Unsupervised Video Summarization
Li-xin Yuan
Francis E. H. Tay
Ping Li
Li Zhou
Jiashi Feng
27
112
0
17 Apr 2019
Keyframing the Future: Keyframe Discovery for Visual Prediction and
  Planning
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning
Karl Pertsch
Oleh Rybkin
Jingyun Yang
Shenghao Zhou
Konstantinos G. Derpanis
Kostas Daniilidis
Joseph J. Lim
Andrew Jaegle
VGen
45
24
0
11 Apr 2019
Point-to-Point Video Generation
Point-to-Point Video Generation
Tsun-Hsuan Wang
Y. Cheng
Chieh Hubert Lin
Hwann-Tzong Chen
Min Sun
VGen
DiffM
16
21
0
05 Apr 2019
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View
  Graph Convolutional Networks
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks
Junkai Sun
Junbo Zhang
Qiaofei Li
Xiuwen Yi
Keli Zhang
Yu Zheng
AI4TS
26
163
0
19 Mar 2019
Learning Regularity in Skeleton Trajectories for Anomaly Detection in
  Videos
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos
Romero Morais
Vuong Le
T. Tran
Budhaditya Saha
M. Mansour
Svetha Venkatesh
27
261
0
08 Mar 2019
VideoFlow: A Conditional Flow-Based Model for Stochastic Video
  Generation
VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation
Manoj Kumar
Mohammad Babaeizadeh
D. Erhan
Chelsea Finn
Sergey Levine
Laurent Dinh
Durk Kingma
VGen
25
131
0
04 Mar 2019
Spatiotemporal Pyramid Network for Video Action Recognition
Spatiotemporal Pyramid Network for Video Action Recognition
Yunbo Wang
Mingsheng Long
Jianmin Wang
Philip S. Yu
32
227
0
04 Mar 2019
Towards Corner Case Detection for Autonomous Driving
Towards Corner Case Detection for Autonomous Driving
Jan-Aike Termöhlen
Andreas Bär
Daniel Lipinski
Tim Fingscheidt
AAML
27
95
0
25 Feb 2019
Generative Models for Low-Rank Video Representation and Reconstruction
Generative Models for Low-Rank Video Representation and Reconstruction
Rakib Hyder
Ulugbek S. Kamilov
GAN
27
11
0
25 Feb 2019
Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by
  Learning 4D Longitudinal Patient Data
Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data
Ling Zhang
Le Lu
Xiaosong Wang
Robert Zhu
M. Bagheri
Ronald M. Summers
Jianhua Yao
19
34
0
23 Feb 2019
Designing recurrent neural networks by unfolding an l1-l1 minimization
  algorithm
Designing recurrent neural networks by unfolding an l1-l1 minimization algorithm
Hung Duy Le
Huynh Van Luong
Nikos Deligiannis
21
15
0
18 Feb 2019
Peeking into the Future: Predicting Future Person Activities and
  Locations in Videos
Peeking into the Future: Predicting Future Person Activities and Locations in Videos
Junwei Liang
Lu Jiang
Juan Carlos Niebles
Alexander G. Hauptmann
Li Fei-Fei
17
376
0
11 Feb 2019
Attention-driven Tree-structured Convolutional LSTM for High Dimensional
  Data Understanding
Attention-driven Tree-structured Convolutional LSTM for High Dimensional Data Understanding
Bin Kong
Xin Wang
Junjie Bai
Yi Lu
Feng Gao
K. Cao
Qi Song
Shaoting Zhang
Siwei Lyu
Youbing Yin
36
3
0
29 Jan 2019
A Neurally-Inspired Hierarchical Prediction Network for Spatiotemporal Sequence Learning and Prediction
Jielin Qiu
Ge Huang
T. Lee
24
10
0
25 Jan 2019
Anomaly Detection in Road Traffic Using Visual Surveillance: A Survey
Anomaly Detection in Road Traffic Using Visual Surveillance: A Survey
Santhosh Kelathodi Kumaran
D. P. Dogra
P. Roy
27
134
0
24 Jan 2019
Semantic Image Networks for Human Action Recognition
Semantic Image Networks for Human Action Recognition
Sunder Ali Khowaja
Seok-Lyong Lee
27
32
0
21 Jan 2019
Spatiotemporal Recurrent Convolutional Networks for Recognizing
  Spontaneous Micro-expressions
Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-expressions
Zhaoqiang Xia
Xiaopeng Hong
Xingyu Gao
Xiaoyi Feng
Guoying Zhao
ObjD
46
187
0
15 Jan 2019
Forecasting People Trajectories and Head Poses by Jointly Reasoning on
  Tracklets and Vislets
Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets
Irtiza Hasan
Francesco Setti
T. Tsesmelis
Vasileios Belagiannis
S. Amin
Alessio Del Bue
Marco Cristani
Fabio Galasso
23
35
0
07 Jan 2019
Early Prediction of Alzheimer's Disease Dementia Based on Baseline
  Hippocampal MRI and 1-Year Follow-Up Cognitive Measures Using Deep Recurrent
  Neural Networks
Early Prediction of Alzheimer's Disease Dementia Based on Baseline Hippocampal MRI and 1-Year Follow-Up Cognitive Measures Using Deep Recurrent Neural Networks
Hongming Li
Yong-Xian Fan
14
58
0
05 Jan 2019
Future semantic segmentation of time-lapsed videos with large temporal
  displacement
Future semantic segmentation of time-lapsed videos with large temporal displacement
Talha Ahmad Siddiqui
Samarth Bharadwaj
16
0
0
27 Dec 2018
3D PersonVLAD: Learning Deep Global Representations for Video-based
  Person Re-identification
3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification
Lin Wu
Yang Wang
Ling Shao
Ming Wang
3DPC
19
94
0
26 Dec 2018
Effective Feature Learning with Unsupervised Learning for Improving the
  Predictive Models in Massive Open Online Courses
Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses
Mucong Ding
Kai Yang
Dit-Yan Yeung
T. Pong
SSL
10
19
0
12 Dec 2018
Grounded Human-Object Interaction Hotspots from Video
Grounded Human-Object Interaction Hotspots from Video
Tushar Nagarajan
Christoph Feichtenhofer
Kristen Grauman
29
159
0
11 Dec 2018
Towards Accurate Generative Models of Video: A New Metric & Challenges
Towards Accurate Generative Models of Video: A New Metric & Challenges
Thomas Unterthiner
Sjoerd van Steenkiste
Karol Kurach
Raphaël Marinier
Marcin Michalski
Sylvain Gelly
EGVM
VGen
27
693
0
03 Dec 2018
Disentangling Propagation and Generation for Video Prediction
Disentangling Propagation and Generation for Video Prediction
Hang Gao
Huazhe Xu
Qi-Zhi Cai
Ruth Wang
Feng Yu
Trevor Darrell
23
84
0
02 Dec 2018
Diverse Image Synthesis from Semantic Layouts via Conditional IMLE
Diverse Image Synthesis from Semantic Layouts via Conditional IMLE
Ke Li
Tianhao Zhang
Jitendra Malik
DiffM
173
85
0
29 Nov 2018
Future Segmentation Using 3D Structure
Future Segmentation Using 3D Structure
Suhani Vora
R. Mahjourian
S. Pirk
A. Angelova
3DPC
27
8
0
28 Nov 2018
Time-Aware and View-Aware Video Rendering for Unsupervised
  Representation Learning
Time-Aware and View-Aware Video Rendering for Unsupervised Representation Learning
Shruti Vyas
Yogesh S Rawat
M. Shah
AI4TS
33
4
0
26 Nov 2018
Attentioned Convolutional LSTM InpaintingNetwork for Anomaly Detection
  in Videos
Attentioned Convolutional LSTM InpaintingNetwork for Anomaly Detection in Videos
Itamar Ben-Ari
Ravid Shwartz-Ziv
24
7
0
26 Nov 2018
Conditional Recurrent Flow: Conditional Generation of Longitudinal
  Samples with Applications to Neuroimaging
Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples with Applications to Neuroimaging
Seong Jae Hwang
Zirui Tao
Won Hwa Kim
Vikas Singh
MedIm
33
12
0
24 Nov 2018
Train Sparsely, Generate Densely: Memory-efficient Unsupervised Training
  of High-resolution Temporal GAN
Train Sparsely, Generate Densely: Memory-efficient Unsupervised Training of High-resolution Temporal GAN
Masaki Saito
Shunta Saito
Masanori Koyama
Sosuke Kobayashi
35
145
0
22 Nov 2018
A General Method for Amortizing Variational Filtering
A General Method for Amortizing Variational Filtering
Joseph Marino
Milan Cvitkovic
Yisong Yue
27
34
0
13 Nov 2018
Adversarial Learning-Based On-Line Anomaly Monitoring for Assured
  Autonomy
Adversarial Learning-Based On-Line Anomaly Monitoring for Assured Autonomy
Naman Patel
Apoorva Nandini Saridena
A. Choromańska
Prashanth Krishnamurthy
Farshad Khorrami
20
18
0
12 Nov 2018
Continual Learning of Recurrent Neural Networks by Locally Aligning
  Distributed Representations
Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations
Alexander Ororbia
A. Mali
C. Lee Giles
Daniel Kifer
29
63
0
17 Oct 2018
Learning to Read by Spelling: Towards Unsupervised Text Recognition
Learning to Read by Spelling: Towards Unsupervised Text Recognition
Ankush Gupta
Andrea Vedaldi
Andrew Zisserman
SSL
25
20
0
23 Sep 2018
Recurrent Flow-Guided Semantic Forecasting
Recurrent Flow-Guided Semantic Forecasting
Adam M. Terwilliger
Garrick Brazil
Xiaoming Liu
21
46
0
21 Sep 2018
Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks
Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks
M. Schreiber
S. Hörmann
Klaus C. J. Dietmayer
24
63
0
11 Sep 2018
Unsupervised Learning of View-invariant Action Representations
Unsupervised Learning of View-invariant Action Representations
Junnan Li
Yongkang Wong
Qi Zhao
Mohan Kankanhalli
SSL
34
99
0
06 Sep 2018
YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
N. Xu
L. Yang
Yuchen Fan
Dingcheng Yue
Yuchen Liang
Jianchao Yang
Thomas Huang
VOS
31
523
0
06 Sep 2018
YouTube-VOS: Sequence-to-Sequence Video Object Segmentation
YouTube-VOS: Sequence-to-Sequence Video Object Segmentation
N. Xu
L. Yang
Yuchen Fan
Jianchao Yang
Dingcheng Yue
Yuchen Liang
Brian L. Price
Scott D. Cohen
Thomas Huang
VOS
10
453
0
03 Sep 2018
Stochastic Dynamics for Video Infilling
Stochastic Dynamics for Video Infilling
Qiangeng Xu
Hanwang Zhang
Weiyue Wang
P. Belhumeur
Ulrich Neumann
DiffM
VGen
38
19
0
01 Sep 2018
Small Sample Learning in Big Data Era
Small Sample Learning in Big Data Era
Jun Shu
Zongben Xu
Deyu Meng
31
71
0
14 Aug 2018
MT-VAE: Learning Motion Transformations to Generate Multimodal Human
  Dynamics
MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics
Xinchen Yan
Akash Rastogi
Ruben Villegas
Kalyan Sunkavalli
Eli Shechtman
Sunil Hadap
Ersin Yumer
Honglak Lee
30
150
0
14 Aug 2018
Where-and-When to Look: Deep Siamese Attention Networks for Video-based
  Person Re-identification
Where-and-When to Look: Deep Siamese Attention Networks for Video-based Person Re-identification
Lin Wu
Yuanda Wang
Junbin Gao
Xue Li
24
193
0
03 Aug 2018
Towards Machine Learning on data from Professional Cyclists
Towards Machine Learning on data from Professional Cyclists
Agrin Hilmkil
Oscar Ivarsson
Moa Johansson
D. Kuylenstierna
T. V. Erp
13
12
0
01 Aug 2018
Pose Guided Human Video Generation
Pose Guided Human Video Generation
Ceyuan Yang
Zhe Wang
Xinge Zhu
Chen Huang
Jianping Shi
Dahua Lin
GAN
22
145
0
30 Jul 2018
Video Time: Properties, Encoders and Evaluation
Video Time: Properties, Encoders and Evaluation
Amir Ghodrati
E. Gavves
Cees G. M. Snoek
19
25
0
18 Jul 2018
Recurrent Auto-Encoder Model for Large-Scale Industrial Sensor Signal
  Analysis
Recurrent Auto-Encoder Model for Large-Scale Industrial Sensor Signal Analysis
Timothy Wong
Zhiyuan Luo
11
12
0
10 Jul 2018
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