APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for Robot Manipulation

31 May 2021

Papers citing "APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for Robot Manipulation"

8 / 8 papers shown

Title
Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery Anand Gopalakrishnan Aleksandar Stanić Jürgen Schmidhuber M. C. Mozer 49 5 0 27 May 2024
DreamUp3D: Object-Centric Generative Models for Single-View 3D Scene Understanding and Real-to-Sim Transfer Yizhe Wu Haitz Sáez de Ocáriz Borde Jack Collins Oiwi Parker Jones Ingmar Posner 3DPC OCL 38 2 0 26 Feb 2024
Enhancing Interpretable Object Abstraction via Clustering-based Slot Initialization Ni Gao Bernard Hohmann Gerhard Neumann OCL 32 2 0 22 Aug 2023
Efficient Skill Acquisition for Complex Manipulation Tasks in Obstructed Environments Jun Yamada J. Collins Ingmar Posner 36 8 0 06 Mar 2023
Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns Laurynas Karazija Subhabrata Choudhury Iro Laina Christian Rupprecht Andrea Vedaldi OCL 106 21 0 21 Oct 2022
Autoencoder-based background reconstruction and foreground segmentation with background noise estimation Bruno Sauvalle A. de La Fortelle 21 12 0 15 Dec 2021
Self-supervised Reinforcement Learning with Independently Controllable Subgoals Andrii Zadaianchuk Georg Martius Fanny Yang SSL 64 16 0 09 Sep 2021
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 233 7,904 0 13 Jun 2015