`

Timezone: »

 
Poster
Unsupervised learning of object structure and dynamics from videos
Matthias Minderer · Chen Sun · Ruben Villegas · Forrester Cole · Kevin Murphy · Honglak Lee

Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #149

Extracting and predicting object structure and dynamics from videos without supervision is a major challenge in machine learning. To address this challenge, we adopt a keypoint-based image representation and learn a stochastic dynamics model of the keypoints. Future frames are reconstructed from the keypoints and a reference frame. By modeling dynamics in the keypoint coordinate space, we achieve stable learning and avoid compounding of errors in pixel space. Our method improves upon unstructured representations both for pixel-level video prediction and for downstream tasks requiring object-level understanding of motion dynamics. We evaluate our model on diverse datasets: a multi-agent sports dataset, the Human3.6M dataset, and datasets based on continuous control tasks from the DeepMind Control Suite. The spatially structured representation outperforms unstructured representations on a range of motion-related tasks such as object tracking, action recognition and reward prediction.

Author Information

Matthias Minderer (Google Research)
Chen Sun (Google Research)
Ruben Villegas (Adobe Research / U. Michigan)
Forrester Cole (Google Research)
Kevin Murphy (Google)
Honglak Lee (Google Brain)

More from the Same Authors

  • 2021 Spotlight: ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction »
    Gengshan Yang · Deqing Sun · Varun Jampani · Daniel Vlasic · Forrester Cole · Ce Liu · Deva Ramanan
  • 2021 : Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning »
    Zachary Nado · Neil Band · Mark Collier · Josip Djolonga · Mike Dusenberry · Sebastian Farquhar · Qixuan Feng · Angelos Filos · Marton Havasi · Rodolphe Jenatton · Ghassen Jerfel · Jeremiah Liu · Zelda Mariet · Jeremy Nixon · Shreyas Padhy · Jie Ren · Tim G. J. Rudner · Yeming Wen · Florian Wenzel · Kevin Murphy · D. Sculley · Balaji Lakshminarayanan · Jasper Snoek · Yarin Gal · Dustin Tran
  • 2021 Workshop: Bayesian Deep Learning »
    Yarin Gal · Yingzhen Li · Sebastian Farquhar · Christos Louizos · Eric Nalisnick · Andrew Gordon Wilson · Zoubin Ghahramani · Kevin Murphy · Max Welling
  • 2021 Poster: ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction »
    Gengshan Yang · Deqing Sun · Varun Jampani · Daniel Vlasic · Forrester Cole · Ce Liu · Deva Ramanan
  • 2021 Poster: Attention Bottlenecks for Multimodal Fusion »
    Arsha Nagrani · Shan Yang · Anurag Arnab · Aren Jansen · Cordelia Schmid · Chen Sun
  • 2021 Poster: Revisiting the Calibration of Modern Neural Networks »
    Matthias Minderer · Josip Djolonga · Rob Romijnders · Frances Hubis · Xiaohua Zhai · Neil Houlsby · Dustin Tran · Mario Lucic
  • 2020 Poster: Predictive Information Accelerates Learning in RL »
    Kuang-Huei Lee · Ian Fischer · Anthony Liu · Yijie Guo · Honglak Lee · John Canny · Sergio Guadarrama
  • 2020 Poster: What Makes for Good Views for Contrastive Learning? »
    Yonglong Tian · Chen Sun · Ben Poole · Dilip Krishnan · Cordelia Schmid · Phillip Isola
  • 2020 Poster: Ode to an ODE »
    Krzysztof Choromanski · Jared Davis · Valerii Likhosherstov · Xingyou Song · Jean-Jacques Slotine · Jacob Varley · Honglak Lee · Adrian Weller · Vikas Sindhwani
  • 2019 : Poster session »
    Sebastian Farquhar · Erik Daxberger · Andreas Look · Matt Benatan · Ruiyi Zhang · Marton Havasi · Fredrik Gustafsson · James A Brofos · Nabeel Seedat · Micha Livne · Ivan Ustyuzhaninov · Adam Cobb · Felix D McGregor · Patrick McClure · Tim R. Davidson · Gaurush Hiranandani · Sanjeev Arora · Masha Itkina · Didrik Nielsen · Will Harvey · Matias Valdenegro-Toro · Stefano Peluchetti · Riccardo Moriconi · Tianyu Cui · Vaclav Smidl · Taylan Cemgil · Jack Fitzsimons · He Zhao · willit · mariana vargas vieyra · Apratim Bhattacharyya · Rahul Sharma · Geoffroy Dubourg-Felonneau · Jonathan Warrell · Slava Voloshynovskiy · Mihaela Rosca · Jiaming Song · Andrew Ross · Homa Fashandi · Ruiqi Gao · Hooshmand Shokri Razaghi · Joshua Chang · Tim Xiao · Vanessa Boehm · Giorgio Giannone · Ranganath Krishnan · Joe Davison · Arsenii Ashukha · Jeremiah Liu · Sicong Huang · Evgenii Nikishin · Sunho Park · Nilesh Ahuja · Mahesh Subedar · roman.novak · Artyom Gadetsky · Jhosimar Arias Figueroa · Tim G. J. Rudner · Waseem Aslam · Adrián Csiszárik · John Moberg · Ali Hebbal · Kathrin Grosse · Pekka Marttinen · Bang An · Hlynur Jónsson · Samuel Kessler · Abhishek Kumar · Michael Figurnov · Omesh Tickoo · Steindor Saemundsson · Ari Heljakka · Dániel Varga · Niklas Heim · Simone Rossi · Max Laves · Waseem Gharbieh · Nick Roberts · Luis Armando Pérez Rey · Matthew Willetts · Prithvi Chakrabarty · Sumedh Ghaisas · Carl Shneider · Wray Buntine · Kamil Adamczewski · Xavier Gitiaux · Suwen Lin · Hao Fu · Gunnar Rätsch · Aidan Gomez · Erik Bodin · Dinh Phung · Lennart Svensson · Juliano Tusi Amaral Laganá Pinto · Milad Alizadeh · Jianzhun Du · Kevin Murphy · Beatrix Benkő · Shashaank Vattikuti · Jonathan Gordon · Chris Kanan · Sontje Ihler · Darin Graham · Michael Teng · Louis Kirsch · Tomas Pevny · Taras Holotyak
  • 2019 Workshop: Bayesian Deep Learning »
    Yarin Gal · Jose Miguel Hernández-Lobato · Christos Louizos · Eric Nalisnick · Zoubin Ghahramani · Kevin Murphy · Max Welling
  • 2019 Poster: Language as an Abstraction for Hierarchical Deep Reinforcement Learning »
    YiDing Jiang · Shixiang (Shane) Gu · Kevin Murphy · Chelsea Finn
  • 2019 Poster: High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks »
    Ruben Villegas · Arkanath Pathak · Harini Kannan · Dumitru Erhan · Quoc V Le · Honglak Lee
  • 2018 Workshop: Bayesian Deep Learning »
    Yarin Gal · Jose Miguel Hernández-Lobato · Christos Louizos · Andrew Wilson · Zoubin Ghahramani · Kevin Murphy · Max Welling
  • 2018 Poster: Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion »
    Jacob Buckman · Danijar Hafner · George Tucker · Eugene Brevdo · Honglak Lee
  • 2018 Oral: Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion »
    Jacob Buckman · Danijar Hafner · George Tucker · Eugene Brevdo · Honglak Lee
  • 2018 Poster: Data-Efficient Hierarchical Reinforcement Learning »
    Ofir Nachum · Shixiang (Shane) Gu · Honglak Lee · Sergey Levine
  • 2018 Poster: Content preserving text generation with attribute controls »
    Lajanugen Logeswaran · Honglak Lee · Samy Bengio
  • 2017 Workshop: Bayesian Deep Learning »
    Yarin Gal · José Miguel Hernández-Lobato · Christos Louizos · Andrew Wilson · Andrew Wilson · Diederik Kingma · Zoubin Ghahramani · Kevin Murphy · Max Welling
  • 2016 Workshop: Bayesian Deep Learning »
    Yarin Gal · Christos Louizos · Zoubin Ghahramani · Kevin Murphy · Max Welling
  • 2016 Workshop: Advances in Approximate Bayesian Inference »
    Tamara Broderick · Stephan Mandt · James McInerney · Dustin Tran · David Blei · Kevin Murphy · Andrew Gelman · Michael I Jordan
  • 2015 Poster: Bayesian dark knowledge »
    Anoop Korattikara Balan · Vivek Rathod · Kevin Murphy · Max Welling