Unsupervised Video Decomposition using Spatio-temporal Iterative Inference

25 June 2020

Papers citing "Unsupervised Video Decomposition using Spatio-temporal Iterative Inference"

36 / 36 papers shown

Title
Reinforced active learning for image segmentation Arantxa Casanova Pedro H. O. Pinheiro Negar Rostamzadeh C. Pal 37 108 0 16 Feb 2020
Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking Eric Crawford Joelle Pineau 108 67 0 20 Nov 2019
Structured Object-Aware Physics Prediction for Video Modeling and Planning Jannik Kossen Karl Stelzner Marcel Hussing C. Voelcker Kristian Kersting OCL 61 70 0 06 Oct 2019
SCALOR: Generative World Models with Scalable Object Representations Jindong Jiang Sepehr Janghorbani Gerard de Melo Sungjin Ahn OCL DRL 75 132 0 06 Oct 2019
CLEVRER: CoLlision Events for Video REpresentation and Reasoning Kexin Yi Yuta Saito Yunzhu Li Pushmeet Kohli Jiajun Wu Antonio Torralba J. Tenenbaum NAI 104 469 0 03 Oct 2019
LXMERT: Learning Cross-Modality Encoder Representations from Transformers Hao Hao Tan Joey Tianyi Zhou VLM MLLM 227 2,474 0 20 Aug 2019
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks Jiasen Lu Dhruv Batra Devi Parikh Stefan Lee SSL VLM 217 3,667 0 06 Aug 2019
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations Martin Engelcke Adam R. Kosiorek Oiwi Parker Jones Ingmar Posner OCL 106 307 0 30 Jul 2019
VideoBERT: A Joint Model for Video and Language Representation Learning Chen Sun Austin Myers Carl Vondrick Kevin Patrick Murphy Cordelia Schmid VLM SSL 69 1,243 0 03 Apr 2019
Multi-Object Representation Learning with Iterative Variational Inference Klaus Greff Raphael Lopez Kaufman Rishabh Kabra Nicholas Watters Christopher P. Burgess Daniel Zoran Loic Matthey M. Botvinick Alexander Lerchner OCL SSL 98 509 0 01 Mar 2019
MONet: Unsupervised Scene Decomposition and Representation Christopher P. Burgess Loic Matthey Nicholas Watters Rishabh Kabra I. Higgins M. Botvinick Alexander Lerchner OCL 81 526 0 22 Jan 2019
Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs Nicholas Watters Loic Matthey Christopher P. Burgess Alexander Lerchner CoGe 80 169 0 21 Jan 2019
Iterative Amortized Inference Joseph Marino Yisong Yue Stephan Mandt BDL DRL 66 167 0 24 Jul 2018
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects Adam R. Kosiorek Hyunjik Kim Ingmar Posner Yee Whye Teh BDL 73 257 0 05 Jun 2018
Unsupervised Video Object Segmentation for Deep Reinforcement Learning Vikrant Goel James Weng Pascal Poupart OCL 59 66 0 20 May 2018
YOLOv3: An Incremental Improvement Joseph Redmon Ali Farhadi ObjD 105 21,386 0 08 Apr 2018
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions Sjoerd van Steenkiste Michael Chang Klaus Greff Jürgen Schmidhuber BDL OCL DRL 171 291 0 28 Feb 2018
Inference Suboptimality in Variational Autoencoders Chris Cremer Xuechen Li David Duvenaud DRL BDL 105 283 0 10 Jan 2018
Neural Expectation Maximization Klaus Greff Sjoerd van Steenkiste Jürgen Schmidhuber OCL 114 286 0 11 Aug 2017
Recurrent Ladder Networks Isabeau Prémont-Schwarz Alexander Ilin T. Hao Antti Rasmus Rinu Boney Harri Valpola 57 41 0 28 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 624 130,942 0 12 Jun 2017
A simple neural network module for relational reasoning Adam Santoro David Raposo David Barrett Mateusz Malinowski Razvan Pascanu Peter W. Battaglia Timothy Lillicrap GNN NAI 150 1,612 0 05 Jun 2017
Mask R-CNN Kaiming He Georgia Gkioxari Piotr Dollár Ross B. Girshick ObjD 344 27,129 0 20 Mar 2017
Hierarchical Multiscale Recurrent Neural Networks Junyoung Chung Sungjin Ahn Yoshua Bengio BDL 84 536 0 06 Sep 2016
Tagger: Deep Unsupervised Perceptual Grouping Klaus Greff Antti Rasmus Mathias Berglund T. Hao Jürgen Schmidhuber Harri Valpola OCL 65 161 0 21 Jun 2016
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 99 2,004 0 14 Jun 2016
Context Encoders: Feature Learning by Inpainting Deepak Pathak Philipp Krahenbuhl Jeff Donahue Trevor Darrell Alexei A. Efros SSL 67 5,287 0 25 Apr 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles M. Noroozi Paolo Favaro SSL 154 2,978 0 30 Mar 2016
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models S. M. Ali Eslami N. Heess T. Weber Yuval Tassa David Szepesvari Koray Kavukcuoglu Geoffrey E. Hinton 3DV BDL OCL 120 551 0 28 Mar 2016
Colorful Image Colorization Richard Y. Zhang Phillip Isola Alexei A. Efros 124 3,530 0 28 Mar 2016
A Recurrent Latent Variable Model for Sequential Data Junyoung Chung Kyle Kastner Laurent Dinh Kratarth Goel Aaron Courville Yoshua Bengio DRL BDL 82 1,256 0 07 Jun 2015
Fast R-CNN Ross B. Girshick ObjD 290 25,008 0 30 Apr 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 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 825 23,310 0 03 Jun 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 412 16,947 0 20 Dec 2013
Multi-Dimensional Recurrent Neural Networks Alex Graves Santiago Fernández Jürgen Schmidhuber 403 309 0 14 May 2007