v1v2 (latest)

Learning Variations in Human Motion via Mix-and-Match Perturbation

2 August 2019

Papers citing "Learning Variations in Human Motion via Mix-and-Match Perturbation"

25 / 25 papers shown

Title
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 552 10,591 0 17 Feb 2020
Action Anticipation with RBF Kernelized Feature Mapping RNN Yuge Shi Basura Fernando Leonid Sigal 74 82 0 18 Nov 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 84 132 0 04 Mar 2019
Modeling Human Motion with Quaternion-based Neural Networks Dario Pavllo Christoph Feichtenhofer Michael Auli David Grangier 3DH 67 175 0 21 Jan 2019
BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN Jogendra Nath Kundu Maharshi Gor R. Venkatesh Babu 78 143 0 06 Dec 2018
VIENA2: A Driving Anticipation Dataset M. S. Aliakbarian F. Saleh Mathieu Salzmann Basura Fernando L. Petersson Lars Andersson 37 40 0 22 Oct 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 71 151 0 14 Aug 2018
Action Anticipation By Predicting Future Dynamic Images Cristian Rodriguez-Opazo Basura Fernando Hongdong Li 50 64 0 01 Aug 2018
QuaterNet: A Quaternion-based Recurrent Model for Human Motion Dario Pavllo David Grangier Michael Auli 3DH 71 263 0 16 May 2018
Human Motion Modeling using DVGANs Xiaoyu Lin Mohamed R. Amer 71 75 0 27 Apr 2018
A Variational U-Net for Conditional Appearance and Shape Generation Patrick Esser E. Sutter Bjorn Ommer 74 419 0 12 Apr 2018
HP-GAN: Probabilistic 3D human motion prediction via GAN Emad Barsoum J. Kender Zicheng Liu 3DH 89 331 0 27 Nov 2017
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models Jesse Engel Matthew Hoffman Adam Roberts DRL 93 140 0 15 Nov 2017
On human motion prediction using recurrent neural networks Julieta Martinez Michael J. Black Javier Romero 3DH 103 936 0 06 May 2017
The Pose Knows: Video Forecasting by Generating Pose Futures Jacob Walker Kenneth Marino Abhinav Gupta M. Hebert 107 350 0 28 Apr 2017
Learning Human Motion Models for Long-term Predictions Partha Ghosh Mingli Song Emre Aksan Otmar Hilliges 3DH 64 240 0 10 Apr 2017
Encouraging LSTMs to Anticipate Actions Very Early Mohammad Sadegh Ali Akbarian F. Saleh Mathieu Salzmann Basura Fernando L. Petersson Lars Andersson 80 170 0 21 Mar 2017
Autoencoding beyond pixels using a learned similarity metric Anders Boesen Lindbo Larsen Søren Kaae Sønderby Hugo Larochelle Ole Winther GAN 192 2,078 0 31 Dec 2015
Attribute2Image: Conditional Image Generation from Visual Attributes Xinchen Yan Jimei Yang Kihyuk Sohn Honglak Lee DRL GAN 89 772 0 02 Dec 2015
Generating Sentences from a Continuous Space Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafal Jozefowicz Samy Bengio DRL 113 2,365 0 19 Nov 2015
Structural-RNN: Deep Learning on Spatio-Temporal Graphs Ashesh Jain Amir Zamir Silvio Savarese Ashutosh Saxena GNN 149 1,094 0 17 Nov 2015
Deep Convolutional Inverse Graphics Network Tejas D. Kulkarni William F. Whitney Pushmeet Kohli J. Tenenbaum DRL BDL 107 930 0 11 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,433 0 22 Dec 2014
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 1.1K 23,414 0 03 Jun 2014
On the difficulty of training Recurrent Neural Networks Razvan Pascanu Tomas Mikolov Yoshua Bengio ODL 215 5,361 0 21 Nov 2012