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Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields

Jul 13, 2021
Hartmut Bauermeister, Emanuel Laude, Thomas Möllenhoff, Michael Moeller, Daniel Cremers

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Event-Based Feature Tracking in Continuous Time with Sliding Window Optimization

Jul 09, 2021
Jason Chui, Simon Klenk, Daniel Cremers

* 9 pages, 4 figures, 1 table 

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DeepLab2: A TensorFlow Library for Deep Labeling

Jun 17, 2021
Mark Weber, Huiyu Wang, Siyuan Qiao, Jun Xie, Maxwell D. Collins, Yukun Zhu, Liangzhe Yuan, Dahun Kim, Qihang Yu, Daniel Cremers, Laura Leal-Taixe, Alan L. Yuille, Florian Schroff, Hartwig Adam, Liang-Chieh Chen

* 4-page technical report. The first three authors contributed equally to this work 

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NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go

Jun 17, 2021
Marvin Eisenberger, David Novotny, Gael Kerchenbaum, Patrick Labatut, Natalia Neverova, Daniel Cremers, Andrea Vedaldi

* Published at the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2021 

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Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections

Mar 31, 2021
Zhenzhang Ye, Tarun Yenamandra, Florian Bernard, Daniel Cremers

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Square Root Bundle Adjustment for Large-Scale Reconstruction

Mar 30, 2021
Nikolaus Demmel, Christiane Sommer, Daniel Cremers, Vladyslav Usenko

* Accepted to CVPR 2021. Updated version corresponding to CVPR camera-ready. Formatting changes and minor tweaks to fit page requirements 

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Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry

Mar 20, 2021
Qadeer Khan, Patrick Wenzel, Daniel Cremers

* Accepted at International Conference on Artificial Intelligence and Statistics (AISTATS), 2021 

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Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning

Mar 08, 2021
Patrick Wenzel, Torsten Schön, Laura Leal-Taixé, Daniel Cremers

* Accepted at 2021 IEEE International Conference on Robotics and Automation (ICRA) 

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Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration

Feb 24, 2021
Christian Tomani, Daniel Cremers, Florian Buettner

* Technical report 

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STEP: Segmenting and Tracking Every Pixel

Feb 23, 2021
Mark Weber, Jun Xie, Maxwell Collins, Yukun Zhu, Paul Voigtlaender, Hartwig Adam, Bradley Green, Andreas Geiger, Bastian Leibe, Daniel Cremers, Aljosa Osep, Laura Leal-Taixe, Liang-Chieh Chen

* Datasets, metric, and baselines will be made publicly available soon 

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Variational Data Assimilation with a Learned Inverse Observation Operator

Feb 22, 2021
Thomas Frerix, Dmitrii Kochkov, Jamie A. Smith, Daniel Cremers, Michael P. Brenner, Stephan Hoyer

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Rotation-Equivariant Deep Learning for Diffusion MRI

Feb 13, 2021
Philip MĂĽller, Vladimir Golkov, Valentina Tomassini, Daniel Cremers

* 24 pages, 8 figures 

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Tight Integration of Feature-Based Relocalization in Monocular Direct Visual Odometry

Feb 08, 2021
Mariia Gladkova, Rui Wang, Niclas Zeller, Daniel Cremers

* A typo in the title is corrected 

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Tight-Integration of Feature-Based Relocalization in Monocular Direct Visual Odometry

Feb 01, 2021
Mariia Gladkova, Rui Wang, Niclas Zeller, Daniel Cremers

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Post-hoc Uncertainty Calibration for Domain Drift Scenarios

Dec 20, 2020
Christian Tomani, Sebastian Gruber, Muhammed Ebrar Erdem, Daniel Cremers, Florian Buettner

* Technical report 

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Neural Online Graph Exploration

Dec 06, 2020
Ioannis Chiotellis, Daniel Cremers

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Isometric Multi-Shape Matching

Dec 04, 2020
Maolin Gao, Zorah Lähner, Johan Thunberg, Daniel Cremers, Florian Bernard

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i3DMM: Deep Implicit 3D Morphable Model of Human Heads

Nov 28, 2020
Tarun Yenamandra, Ayush Tewari, Florian Bernard, Hans-Peter Seidel, Mohamed Elgharib, Daniel Cremers, Christian Theobalt

* Project page: 

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Non-Rigid Puzzles

Nov 26, 2020
Or Litany, Emanuele RodolĂ , Alex Bronstein, Michael Bronstein, Daniel Cremers

* Computer Graphics Forum, Volume 35, Issue 5, August 2016 

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SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud based Place Recognition

Nov 24, 2020
Yan Xia, Yusheng Xu, Shuang Li, Rui Wang, Juan Du, Daniel Cremers, Uwe Stilla

* 10 pages, 7 figures, 6 tables 

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MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera

Nov 24, 2020
Felix Wimbauer, Nan Yang, Lukas von Stumberg, Niclas Zeller, Daniel Cremers

* Project page with video can be found under . 14 pages, 10 figures, 5 tables 

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Deep Shells: Unsupervised Shape Correspondence with Optimal Transport

Oct 28, 2020
Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Daniel Cremers

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Unsupervised Dense Shape Correspondence using Heat Kernels

Oct 23, 2020
Mehmet Aygün, Zorah Lähner, Daniel Cremers

* In International Conference on 3D Vision (3DV), 2020 

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MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking

Oct 15, 2020
Patrick Dendorfer, Aljoša Ošep, Anton Milan, Konrad Schindler, Daniel Cremers, Ian Reid, Stefan Roth, Laura Leal-Taixé

* Accepted at IJCV 

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LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization

Oct 13, 2020
Lukas von Stumberg, Patrick Wenzel, Nan Yang, Daniel Cremers

* International Conference on 3D Vision (3DV), 2020 

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4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving

Sep 14, 2020
Patrick Wenzel, Rui Wang, Nan Yang, Qing Cheng, Qadeer Khan, Lukas von Stumberg, Niclas Zeller, Daniel Cremers

* German Conference on Pattern Recognition (GCPR 2020) 

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DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization

Jul 17, 2020
Juan Du, Rui Wang, Daniel Cremers

* ECCV 2020, sportlight 

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Deriving Neural Network Design and Learning from the Probabilistic Framework of Chain Graphs

Jun 30, 2020
Yuesong Shen, Daniel Cremers

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Deep Learning for Virtual Screening: Five Reasons to Use ROC Cost Functions

Jun 25, 2020
Vladimir Golkov, Alexander Becker, Daniel T. Plop, Daniel ÄŚuturilo, Neda Davoudi, Jeffrey Mendenhall, Rocco Moretti, Jens Meiler, Daniel Cremers

* 10 pages 

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