Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Daniel Cremers

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

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


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

* Technical report 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

Rotation-Equivariant Deep Learning for Diffusion MRI


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

* 24 pages, 8 figures 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


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


  Access Paper or Ask Questions

Post-hoc Uncertainty Calibration for Domain Drift Scenarios


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

* Technical report 

  Access Paper or Ask Questions

Neural Online Graph Exploration


Dec 06, 2020
Ioannis Chiotellis, Daniel Cremers


  Access Paper or Ask Questions

Isometric Multi-Shape Matching


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


  Access Paper or Ask Questions

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: http://gvv.mpi-inf.mpg.de/projects/i3DMM/ 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 https://vision.in.tum.de/research/monorec . 14 pages, 10 figures, 5 tables 

  Access Paper or Ask Questions

Deep Shells: Unsupervised Shape Correspondence with Optimal Transport


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


  Access Paper or Ask Questions

Unsupervised Dense Shape Correspondence using Heat Kernels


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

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

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

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


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

* ECCV 2020, sportlight 

  Access Paper or Ask Questions

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


Jun 30, 2020
Yuesong Shen, Daniel Cremers


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions