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Flow-based Spatio-Temporal Structured Prediction of Motion Dynamics

9 April 2021

Papers citing "Flow-based Spatio-Temporal Structured Prediction of Motion Dynamics"

32 / 32 papers shown

Title
Diffusion Models with Deterministic Normalizing Flow Priors Mohsen Zand Ali Etemad Michael A. Greenspan DiffM 118 3 0 03 Sep 2023
Human Trajectory Forecasting in Crowds: A Deep Learning Perspective Parth Kothari S. Kreiss Alexandre Alahi HAI AI4TS 75 242 0 07 Jul 2020
Locally Masked Convolution for Autoregressive Models Ajay Jain Pieter Abbeel Deepak Pathak DiffM OffRL 86 32 0 22 Jun 2020
Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows Kashif Rasul Abdul-Saboor Sheikh Ingmar Schuster Urs M. Bergmann Roland Vollgraf BDL AI4TS AI4CE 106 187 0 14 Feb 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 209 1,713 0 05 Dec 2019
Learning Likelihoods with Conditional Normalizing Flows Christina Winkler Daniel E. Worrall Emiel Hoogeboom Max Welling TPM 223 226 0 29 Nov 2019
Structured Prediction Helps 3D Human Motion Modelling Emre Aksan Manuel Kaufmann Otmar Hilliges 3DH 84 191 0 20 Oct 2019
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes David Salinas Michael Bohlke-Schneider Laurent Callot Roberto Medico Jan Gasthaus AI4TS 71 229 0 07 Oct 2019
Noise Flow: Noise Modeling with Conditional Normalizing Flows A. Abdelhamed Marcus A. Brubaker M. S. Brown 57 174 0 22 Aug 2019
Positional Normalization Boyi Li Felix Wu Kilian Q. Weinberger Serge J. Belongie 53 91 0 09 Jul 2019
Structured Output Learning with Conditional Generative Flows You Lu Bert Huang BDL DRL 59 73 0 30 May 2019
Factorised Neural Relational Inference for Multi-Interaction Systems Ezra Webb Ben Day Helena Andrés-Terré Pietro Lio AI4CE GNN 66 30 0 21 May 2019
Emerging Convolutions for Generative Normalizing Flows Emiel Hoogeboom Rianne van den Berg Max Welling DRL 119 98 0 30 Jan 2019
Latent Normalizing Flows for Discrete Sequences Zachary M. Ziegler Alexander M. Rush BDL DRL 68 129 0 29 Jan 2019
Deep Structured Prediction with Nonlinear Output Transformations Colin Graber Ofer Meshi Alex Schwing BDL 71 25 0 01 Nov 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 65 151 0 14 Aug 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 303 3,141 0 09 Jul 2018
Neural Autoregressive Flows Chin-Wei Huang David M. Krueger Alexandre Lacoste Aaron Courville DRL AI4CE 151 446 0 03 Apr 2018
Learning Approximate Inference Networks for Structured Prediction Lifu Tu Kevin Gimpel BDL 46 53 0 09 Mar 2018
SparseMAP: Differentiable Sparse Structured Inference Vlad Niculae André F. T. Martins Mathieu Blondel Claire Cardie 43 123 0 12 Feb 2018
HP-GAN: Probabilistic 3D human motion prediction via GAN Emad Barsoum J. Kender Zicheng Liu 3DH 86 331 0 27 Nov 2017
Masked Autoregressive Flow for Density Estimation George Papamakarios Theo Pavlakou Iain Murray 215 1,360 0 19 May 2017
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks Guokun Lai Wei-Cheng Chang Yiming Yang Hanxiao Liu BDL AI4TS 110 2,024 0 21 Mar 2017
Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs Michael Gygli Mohammad Norouzi A. Angelova TDI 114 68 0 13 Mar 2017
ActionFlowNet: Learning Motion Representation for Action Recognition Joe Yue-Hei Ng Jonghyun Choi J. Neumann L. Davis 72 121 0 09 Dec 2016
Conditional Image Generation with PixelCNN Decoders Aaron van den Oord Nal Kalchbrenner Oriol Vinyals L. Espeholt Alex Graves Koray Kavukcuoglu VLM 214 2,517 0 16 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 277 3,719 0 26 May 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 486 2,577 0 25 Jan 2016
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 322 4,196 0 21 May 2015
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 131 2,268 0 30 Oct 2014
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 578 27,327 0 01 Sep 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 23,388 0 03 Jun 2014