Particle Filter Networks with Application to Visual Localization

23 May 2018

Papers citing "Particle Filter Networks with Application to Visual Localization"

27 / 77 papers shown

Title
Differentiable Nonparametric Belief Propagation Anthony Opipari Chao Chen Shoutian Wang Jana Pavlasek Karthik Desingh Odest Chadwicke Jenkins 14 5 0 15 Jan 2021
How to Train Your Differentiable Filter Alina Kloss Georg Martius Jeannette Bohg 36 46 0 28 Dec 2020
End-To-End Semi-supervised Learning for Differentiable Particle Filters Hao Wen Xiongjie Chen Georgios Papagiannis Conghui Hu Yunpeng Li 33 17 0 11 Nov 2020
Learning Bayes Filter Models for Tactile Localization Tarik Kelestemur Colin Keil J. P. Whitney Robert W. Platt T. Padır 11 5 0 11 Nov 2020
Instance based Generalization in Reinforcement Learning Martín Bertrán Natalia Martínez Mariano Phielipp Guillermo Sapiro OffRL 27 16 0 02 Nov 2020
Multimodal Sensor Fusion with Differentiable Filters Michelle A. Lee Brent Yi Roberto Martín-Martín Silvio Savarese Jeannette Bohg 27 59 0 25 Oct 2020
Contrastive Variational Reinforcement Learning for Complex Observations Xiao Ma Siwei Chen David Hsu W. Lee OffRL 16 23 0 06 Aug 2020
When is Particle Filtering Efficient for Planning in Partially Observed Linear Dynamical Systems? S. Du Wei Hu Zhiyuan Li Ruoqi Shen Zhao Song Jiajun Wu 36 1 0 10 Jun 2020
Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization Peter Karkus A. Angelova Vincent Vanhoucke Rico Jonschkowski 17 11 0 19 May 2020
Towards Differentiable Resampling Michael Zhu Kevin Patrick Murphy Rico Jonschkowski 11 27 0 24 Apr 2020
Multiplicative Gaussian Particle Filter Xuan Su W. Lee Zhen Zhang 22 2 0 29 Feb 2020
Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations Xiao Ma Peter Karkus David Hsu W. Lee N. Ye OffRL 17 42 0 23 Feb 2020
Learning Task-Driven Control Policies via Information Bottlenecks Vincent Pacelli Anirudha Majumdar 17 25 0 04 Feb 2020
Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning Runsheng Yu Zhenyu Shi Xinrun Wang R. Wang Buhong Liu Xinwen Hou Hanjiang Lai Bo An 19 4 0 18 Nov 2019
DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs Yunbo Wang Bo Liu Jiajun Wu Yuke Zhu Simon S. Du Fei-Fei Li Joshua B. Tenenbaum 9 6 0 28 Sep 2019
Multi-person Pose Tracking using Sequential Monte Carlo with Probabilistic Neural Pose Predictor Masashi Okada Shinji Takenaka T. Taniguchi 33 4 0 16 Sep 2019
DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Changhao Chen Chris Xiaoxuan Lu Bing Wang A. Trigoni Andrew Markham BDL 19 52 0 11 Aug 2019
DOB-Net: Actively Rejecting Unknown Excessive Time-Varying Disturbances Tianming Wang Wenjie Lu Zheng Yan Dikai Liu 49 4 0 10 Jul 2019
Partially Observable Planning and Learning for Systems with Non-Uniform Dynamics Nicholas Collins H. Kurniawati 14 0 0 09 Jul 2019
Chasing Ghosts: Instruction Following as Bayesian State Tracking Peter Anderson Ayush Shrivastava Devi Parikh Dhruv Batra Stefan Lee 22 72 0 03 Jul 2019
Particle Filter Recurrent Neural Networks Xiao Ma Peter Karkus David Hsu Wee Sun Lee 14 82 0 30 May 2019
Differentiable Algorithm Networks for Composable Robot Learning Peter Karkus Xiao Ma David Hsu L. Kaelbling Wee Sun Lee Tomas Lozano-Perez 19 70 0 28 May 2019
Efficient Bird Eye View Proposals for 3D Siamese Tracking Jesus Zarzar Silvio Giancola Guohao Li 3DPC 24 34 0 25 Mar 2019
Leveraging Shape Completion for 3D Siamese Tracking Silvio Giancola Jesus Zarzar Guohao Li 3DPC 36 153 0 05 Mar 2019
Benchmarking Classic and Learned Navigation in Complex 3D Environments Dmytro Mishkin Alexey Dosovitskiy V. Koltun 34 75 0 30 Jan 2019
Joint Mapping and Calibration via Differentiable Sensor Fusion Jonathan P. Chen F. Obermeyer V. Lyapunov L. Gueguen Noah D. Goodman 26 0 0 21 Nov 2018
Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation Peter Karkus David Hsu Wee Sun Lee 16 10 0 17 Jul 2018