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  4. Cited By
Dense Optical Flow Prediction from a Static Image

Dense Optical Flow Prediction from a Static Image

2 May 2015
Jacob Walker
Abhinav Gupta
M. Hebert
ArXivPDFHTML

Papers citing "Dense Optical Flow Prediction from a Static Image"

44 / 44 papers shown
Title
Diffusion with Forward Models: Solving Stochastic Inverse Problems
  Without Direct Supervision
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision
A. Tewari
Tianwei Yin
George Cazenavette
Semon Rezchikov
J. Tenenbaum
F. Durand
William T. Freeman
Vincent Sitzmann
DiffM
43
88
0
20 Jun 2023
A Review of Predictive and Contrastive Self-supervised Learning for
  Medical Images
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
Wei-Chien Wang
Euijoon Ahn
Da-wei Feng
Jinman Kim
MedIm
27
27
0
10 Feb 2023
Diffusion Models for Video Prediction and Infilling
Diffusion Models for Video Prediction and Infilling
Tobias Hoppe
Arash Mehrjou
Stefan Bauer
Didrik Nielsen
Andrea Dittadi
DiffM
VGen
27
131
0
15 Jun 2022
Stochastic Video Prediction with Structure and Motion
Stochastic Video Prediction with Structure and Motion
Adil Kaan Akan
Sadra Safadoust
Fatma Guney
VGen
24
9
0
20 Mar 2022
Diffusion Probabilistic Modeling for Video Generation
Diffusion Probabilistic Modeling for Video Generation
Ruihan Yang
Prakhar Srivastava
Stephan Mandt
DiffM
VGen
59
256
0
16 Mar 2022
Conditional Object-Centric Learning from Video
Conditional Object-Centric Learning from Video
Thomas Kipf
Gamaleldin F. Elsayed
Aravindh Mahendran
Austin Stone
S. Sabour
G. Heigold
Rico Jonschkowski
Alexey Dosovitskiy
Klaus Greff
OCL
41
214
0
24 Nov 2021
Self-Supervision by Prediction for Object Discovery in Videos
Self-Supervision by Prediction for Object Discovery in Videos
Beril Besbinar
P. Frossard
SSL
26
7
0
09 Mar 2021
Greedy Hierarchical Variational Autoencoders for Large-Scale Video
  Prediction
Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction
Bohan Wu
Suraj Nair
Roberto Martin-Martin
Li Fei-Fei
Chelsea Finn
DRL
27
99
0
06 Mar 2021
Learning Temporal Dynamics from Cycles in Narrated Video
Learning Temporal Dynamics from Cycles in Narrated Video
Dave Epstein
Jiajun Wu
Cordelia Schmid
Chen Sun
AI4TS
33
14
0
07 Jan 2021
Learning Geocentric Object Pose in Oblique Monocular Images
Learning Geocentric Object Pose in Oblique Monocular Images
Gordon A. Christie
Rodrigo Rene Rai Munoz Abujder
Kevin Foster
Shea Hagstrom
Gregory Hager
M. Brown
MDE
19
31
0
01 Jul 2020
Online Deep Clustering for Unsupervised Representation Learning
Online Deep Clustering for Unsupervised Representation Learning
Xiaohang Zhan
Jiahao Xie
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
OOD
46
184
0
18 Jun 2020
Stochastic Latent Residual Video Prediction
Stochastic Latent Residual Video Prediction
Jean-Yves Franceschi
E. Delasalles
Mickaël Chen
Sylvain Lamprier
Patrick Gallinari
VGen
26
159
0
21 Feb 2020
Action Anticipation with RBF Kernelized Feature Mapping RNN
Action Anticipation with RBF Kernelized Feature Mapping RNN
Yuge Shi
Basura Fernando
Richard I. Hartley
28
82
0
18 Nov 2019
Predicting 3D Human Dynamics from Video
Predicting 3D Human Dynamics from Video
Jason Y. Zhang
Panna Felsen
Angjoo Kanazawa
Jitendra Malik
3DH
24
110
0
13 Aug 2019
PI-Net: A Deep Learning Approach to Extract Topological Persistence
  Images
PI-Net: A Deep Learning Approach to Extract Topological Persistence Images
Anirudh Som
Hongjun Choi
K. Ramamurthy
M. Buman
P. Turaga
3DH
29
29
0
05 Jun 2019
Context-aware Human Motion Prediction
Context-aware Human Motion Prediction
Enric Corona
Albert Pumarola
Guillem Alenyà
Francesc Moreno-Noguer
3DH
11
139
0
06 Apr 2019
Self-Supervised Learning via Conditional Motion Propagation
Self-Supervised Learning via Conditional Motion Propagation
Xiaohang Zhan
Xingang Pan
Ziwei Liu
Dahua Lin
Chen Change Loy
SSL
42
47
0
27 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
Learning to Synthesize Motion Blur
Learning to Synthesize Motion Blur
Tim Brooks
Jonathan T. Barron
14
78
0
27 Nov 2018
Recurrent Flow-Guided Semantic Forecasting
Recurrent Flow-Guided Semantic Forecasting
Adam M. Terwilliger
Garrick Brazil
Xiaoming Liu
18
46
0
21 Sep 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
149
0
14 Aug 2018
Stochastic Adversarial Video Prediction
Stochastic Adversarial Video Prediction
Alex X. Lee
Richard Y. Zhang
F. Ebert
Pieter Abbeel
Chelsea Finn
Sergey Levine
DRL
VGen
GAN
28
450
0
04 Apr 2018
Stochastic Video Generation with a Learned Prior
Stochastic Video Generation with a Learned Prior
Emily L. Denton
Rob Fergus
VGen
45
525
0
21 Feb 2018
Im2Flow: Motion Hallucination from Static Images for Action Recognition
Im2Flow: Motion Hallucination from Static Images for Action Recognition
Ruohan Gao
Bo Xiong
Kristen Grauman
33
92
0
12 Dec 2017
Hierarchical Video Generation from Orthogonal Information: Optical Flow
  and Texture
Hierarchical Video Generation from Orthogonal Information: Optical Flow and Texture
Katsunori Ohnishi
Shohei Yamamoto
Yoshitaka Ushiku
Tatsuya Harada
VGen
GAN
37
59
0
27 Nov 2017
Predicting Scene Parsing and Motion Dynamics in the Future
Predicting Scene Parsing and Motion Dynamics in the Future
Xiaojie Jin
Huaxin Xiao
Xiaohui Shen
Jimei Yang
Zhe-nan Lin
Yunpeng Chen
Zequn Jie
Jiashi Feng
Shuicheng Yan
20
76
0
09 Nov 2017
Self-Supervised Visual Planning with Temporal Skip Connections
Self-Supervised Visual Planning with Temporal Skip Connections
F. Ebert
Chelsea Finn
Alex X. Lee
Sergey Levine
SSL
40
317
0
15 Oct 2017
Visual Forecasting by Imitating Dynamics in Natural Sequences
Visual Forecasting by Imitating Dynamics in Natural Sequences
Kuo-Hao Zeng
Bokui (William) Shen
De-An Huang
Min Sun
Juan Carlos Niebles
AI4TS
33
61
0
19 Aug 2017
Motion Prediction Under Multimodality with Conditional Stochastic
  Networks
Motion Prediction Under Multimodality with Conditional Stochastic Networks
Katerina Fragkiadaki
Jonathan Huang
Alexander A. Alemi
Sudheendra Vijayanarasimhan
Susanna Ricco
Rahul Sukthankar
3DH
23
25
0
05 May 2017
The Pose Knows: Video Forecasting by Generating Pose Futures
The Pose Knows: Video Forecasting by Generating Pose Futures
Jacob Walker
Kenneth Marino
Abhinav Gupta
M. Hebert
29
348
0
28 Apr 2017
One-Step Time-Dependent Future Video Frame Prediction with a
  Convolutional Encoder-Decoder Neural Network
One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network
Vedran Vukotic
S. Pintea
C. Raymond
G. Gravier
Jan van Gemert
26
46
0
14 Feb 2017
Unsupervised Learning of Long-Term Motion Dynamics for Videos
Unsupervised Learning of Long-Term Motion Dynamics for Videos
Zelun Luo
Boya Peng
De-An Huang
Alexandre Alahi
Li Fei-Fei
SSL
32
193
0
07 Jan 2017
From Motion Blur to Motion Flow: a Deep Learning Solution for Removing
  Heterogeneous Motion Blur
From Motion Blur to Motion Flow: a Deep Learning Solution for Removing Heterogeneous Motion Blur
Dong Gong
Jie-jin Yang
Lingqiao Liu
Yanning Zhang
Ian Reid
Chunhua Shen
Anton Van Den Hengel
Javen Qinfeng Shi
28
393
0
08 Dec 2016
Video Scene Parsing with Predictive Feature Learning
Video Scene Parsing with Predictive Feature Learning
Xiaojie Jin
Xuzhao Li
Huaxin Xiao
Xiaohui Shen
Zhe-nan Lin
...
Jian Dong
Luoqi Liu
Zequn Jie
Jiashi Feng
Shuicheng Yan
35
111
0
01 Dec 2016
Making a Case for Learning Motion Representations with Phase
Making a Case for Learning Motion Representations with Phase
S. Pintea
Jan van Gemert
26
11
0
06 Sep 2016
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross
  Convolutional Networks
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks
Tianfan Xue
Jiajun Wu
Katherine Bouman
Bill Freeman
43
416
0
09 Jul 2016
An Uncertain Future: Forecasting from Static Images using Variational
  Autoencoders
An Uncertain Future: Forecasting from Static Images using Variational Autoencoders
Jacob Walker
Carl Doersch
Abhinav Gupta
M. Hebert
VGen
15
512
0
25 Jun 2016
Look-ahead before you leap: end-to-end active recognition by forecasting
  the effect of motion
Look-ahead before you leap: end-to-end active recognition by forecasting the effect of motion
Dinesh Jayaraman
Kristen Grauman
17
90
0
30 Apr 2016
Forecasting Interactive Dynamics of Pedestrians with Fictitious Play
Forecasting Interactive Dynamics of Pedestrians with Fictitious Play
Wei-Chiu Ma
De-An Huang
Namhoon Lee
Kris M. Kitani
41
15
0
05 Apr 2016
Generative Image Modeling using Style and Structure Adversarial Networks
Generative Image Modeling using Style and Structure Adversarial Networks
Xinyu Wang
Abhinav Gupta
GAN
25
617
0
17 Mar 2016
"What happens if..." Learning to Predict the Effect of Forces in Images
"What happens if..." Learning to Predict the Effect of Forces in Images
Roozbeh Mottaghi
Mohammad Rastegari
Abhinav Gupta
Ali Farhadi
OOD
25
123
0
17 Mar 2016
Deep Learning Driven Visual Path Prediction from a Single Image
Deep Learning Driven Visual Path Prediction from a Single Image
Siyu Huang
Xi Li
Zhongfei Zhang
Zhouzhou He
Fei Wu
Wei Liu
Jinhui Tang
Yueting Zhuang
51
60
0
27 Jan 2016
Slow and steady feature analysis: higher order temporal coherence in
  video
Slow and steady feature analysis: higher order temporal coherence in video
Dinesh Jayaraman
Kristen Grauman
26
142
0
15 Jun 2015
Designing Deep Networks for Surface Normal Estimation
Designing Deep Networks for Surface Normal Estimation
Xinyu Wang
David Fouhey
Abhinav Gupta
3DV
SSL
167
353
0
18 Nov 2014
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