Stephan Liwicki

Orcid: 0000-0002-2002-3627

According to our database1, Stephan Liwicki authored at least 29 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
DiaLoc: An Iterative Approach to Embodied Dialog Localization.
CoRR, 2024

Revisiting Recurrent Reinforcement Learning with Memory Monoids.
CoRR, 2024

2023
HexNet: An Orientation-Aware Deep Learning Framework for Omni-Directional Input.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

ReCoRe: Regularized Contrastive Representation Learning of World Model.
CoRR, 2023

Reinforcement Learning with Fast and Forgetful Memory.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

POPGym: Benchmarking Partially Observable Reinforcement Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Hierarchical Quantization Consistency for Fully Unsupervised Image Retrieval.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Self-Supervised Consistent Quantization for Fully Unsupervised Image Retrieval.
CoRR, 2022

Modeling Partially Observable Systems using Graph-Based Memory and Topological Priors.
Proceedings of the Learning for Dynamics and Control Conference, 2022

CoMBiNED: Multi-Constrained Model Based Planning for Navigation in Dynamic Environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Beyond the CLS Token: Image Reranking using Pretrained Vision Transformers.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Embodied Visual Navigation With Automatic Curriculum Learning in Real Environments.
IEEE Robotics Autom. Lett., 2021

Graph Convolutional Memory for Deep Reinforcement Learning.
CoRR, 2021

Lifted Semantic Graph Embedding for Omnidirectional Place Recognition.
Proceedings of the International Conference on 3D Vision, 2021

2020
A Spherical Approach to Planar Semantic Segmentation.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

Rotation Equivariant Orientation Estimation for Omnidirectional Localization.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Orientation-Aware Semantic Segmentation on Icosahedron Spheres.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Fast-SCNN: Fast Semantic Segmentation Network.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Scale Exploiting Minimal Solvers for Relative Pose with Calibrated Cameras.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Coarse-to-fine Planar Regularization for Dense Monocular Depth Estimation.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Online Kernel Slow Feature Analysis for Temporal Video Segmentation and Tracking.
IEEE Trans. Image Process., 2015

2014
Robust online subspace learning.
PhD thesis, 2014

Full-Angle Quaternions for Robustly Matching Vectors of 3D Rotations.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Euler Principal Component Analysis.
Int. J. Comput. Vis., 2013

2012
Efficient Online Subspace Learning With an Indefinite Kernel for Visual Tracking and Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2012

Incremental Slow Feature Analysis with Indefinite Kernel for Online Temporal Video Segmentation.
Proceedings of the Computer Vision, 2012

2011
Fast and robust appearance-based tracking.
Proceedings of the Ninth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), 2011

2009
Automatic recognition of fingerspelled words in British Sign Language.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009


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