Dense Optical Flow Prediction from a Static Image

2 May 2015

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

36 / 36 papers shown

Title
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 Wei-Chien Wang E. Ahn Da-wei Feng Jinman Kim MedIm 24 27 0 10 Feb 2023
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 Ruihan Yang Prakhar Srivastava Stephan Mandt DiffM VGen 45 255 0 16 Mar 2022
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 39 214 0 24 Nov 2021
Self-Supervision by Prediction for Object Discovery in Videos Beril Besbinar P. Frossard SSL 23 7 0 09 Mar 2021
Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction Bohan Wu Suraj Nair Roberto Martin-Martin Li Fei-Fei Chelsea Finn DRL 24 99 0 06 Mar 2021
Online Deep Clustering for Unsupervised Representation Learning Xiaohang Zhan Jiahao Xie Ziwei Liu Yew-Soon Ong Chen Change Loy OOD 32 184 0 18 Jun 2020
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 Yuge Shi Basura Fernando Richard I. Hartley 26 82 0 18 Nov 2019
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 Anirudh Som Hongjun Choi K. Ramamurthy M. Buman P. Turaga 3DH 24 29 0 05 Jun 2019
Self-Supervised Learning via Conditional Motion Propagation Xiaohang Zhan Xingang Pan Ziwei Liu Dahua Lin Chen Change Loy SSL 34 47 0 27 Mar 2019
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 Tim Brooks Jonathan T. Barron 6 78 0 27 Nov 2018
Recurrent Flow-Guided Semantic Forecasting Adam M. Terwilliger Garrick Brazil Xiaoming Liu 15 46 0 21 Sep 2018
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 27 149 0 14 Aug 2018
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 Emily L. Denton Rob Fergus VGen 39 525 0 21 Feb 2018
Im2Flow: Motion Hallucination from Static Images for Action Recognition Ruohan Gao Bo Xiong Kristen Grauman 23 92 0 12 Dec 2017
Hierarchical Video Generation from Orthogonal Information: Optical Flow and Texture Katsunori Ohnishi Shohei Yamamoto Yoshitaka Ushiku Tatsuya Harada VGen GAN 26 59 0 27 Nov 2017
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 F. Ebert Chelsea Finn Alex X. Lee Sergey Levine SSL 40 317 0 15 Oct 2017
Visual Forecasting by Imitating Dynamics in Natural Sequences Kuo-Hao Zeng Bokui (William) Shen De-An Huang Min Sun Juan Carlos Niebles AI4TS 25 61 0 19 Aug 2017
The Pose Knows: Video Forecasting by Generating Pose Futures Jacob Walker Kenneth Marino Abhinav Gupta M. Hebert 24 348 0 28 Apr 2017
One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network Vedran Vukotic S. Pintea C. Raymond G. Gravier J. C. V. Gemert 26 46 0 14 Feb 2017
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 A. Hengel Javen Qinfeng Shi 20 393 0 08 Dec 2016
Making a Case for Learning Motion Representations with Phase S. Pintea J. C. V. Gemert 26 11 0 06 Sep 2016
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks Tianfan Xue Jiajun Wu Katherine L. Bouman Bill Freeman 37 416 0 09 Jul 2016
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 Dinesh Jayaraman Kristen Grauman 17 90 0 30 Apr 2016
Forecasting Interactive Dynamics of Pedestrians with Fictitious Play Wei-Chiu Ma De-An Huang Namhoon Lee Kris M. Kitani 38 15 0 05 Apr 2016
Generative Image Modeling using Style and Structure Adversarial Networks X. Wang Abhinav Gupta GAN 22 617 0 17 Mar 2016
"What happens if..." Learning to Predict the Effect of Forces in Images Roozbeh Mottaghi Mohammad Rastegari Abhinav Gupta Ali Farhadi OOD 21 123 0 17 Mar 2016
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 X. Wang David Fouhey Abhinav Gupta 3DV SSL 159 353 0 18 Nov 2014