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Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction


Nov 26, 2021
Christiane Sommer, Lu Sang, David Schubert, Daniel Cremers

* First two authors contributed equally 

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TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo


Nov 14, 2021
Lukas Koestler, Nan Yang, Niclas Zeller, Daniel Cremers

* CoRL 2021. The manuscript contains the main paper and the supplementary materials. Project page: https://go.vision.in.tum.de/tandem 

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Multidirectional Conjugate Gradients for Scalable Bundle Adjustment


Oct 08, 2021
Simon Weber, Nikolaus Demmel, Daniel Cremers


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Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation


Sep 30, 2021
Florian Bernard, Daniel Cremers, Johan Thunberg

* To appear at NeurIPS 2021 

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Scene Graph Generation for Better Image Captioning?


Sep 23, 2021
Maximilian Mozes, Martin Schmitt, Vladimir Golkov, Hinrich SchĂŒtze, Daniel Cremers

* Technical report. This work was done and the paper was written in 2019 

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Towards Robust Monocular Visual Odometry for Flying Robots on Planetary Missions


Sep 12, 2021
Martin Wudenka, Marcus G. MĂŒller, Nikolaus Demmel, Armin Wedler, Rudolph Triebel, Daniel Cremers, Wolfgang StĂŒrzl

* Accepted to IROS 2021. Updated version corresponding to IROS camera-ready. The source code is publicly available at: https://github.com/DLR-RM/granite 

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Square Root Marginalization for Sliding-Window Bundle Adjustment


Sep 05, 2021
Nikolaus Demmel, David Schubert, Christiane Sommer, Daniel Cremers, Vladyslav Usenko

* to be published at ICCV 2021; camera ready version 

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Dive into Layers: Neural Network Capacity Bounding using Algebraic Geometry


Sep 03, 2021
Ji Yang, Lu Sang, Daniel Cremers


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TUM-VIE: The TUM Stereo Visual-Inertial Event Dataset


Aug 16, 2021
Simon Klenk, Jason Chui, Nikolaus Demmel, Daniel Cremers

* Accepted to IROS 2021. First two authors contributed equally 

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Explicit Pairwise Factorized Graph Neural Network for Semi-Supervised Node Classification


Jul 27, 2021
Yu Wang, Yuesong Shen, Daniel Cremers


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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 MĂŒller, 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 LĂ€hner, 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: http://gvv.mpi-inf.mpg.de/projects/i3DMM/ 

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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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