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2019


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EM-Fusion: Dynamic Object-Level SLAM With Probabilistic Data Association

Strecke, M., Stückler, J.

In International Conference on Computer Vision, October 2019, arXiv:1904.11781 (inproceedings)

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preprint Project page Poster [BibTex]

2019


preprint Project page Poster [BibTex]


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Visual-Inertial Mapping with Non-Linear Factor Recovery

Usenko, V., Demmel, N., Schubert, D., Stückler, J., Cremers, D.

2019, arXiv:1904.06504 (misc)

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[BibTex]

[BibTex]


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Learning to Disentangle Latent Physical Factors for Video Prediction

Zhu, D., Munderloh, M., Rosenhahn, B., Stückler, J.

In German Conference on Pattern Recognition (GCPR), 2019, to appear (inproceedings)

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dataset & evaluation code video preprint [BibTex]

dataset & evaluation code video preprint [BibTex]


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3D Birds-Eye-View Instance Segmentation

Elich, C., Engelmann, F., Kontogianni, T., Leibe, B.

In German Conference on Pattern Recognition (GCPR), 2019, arXiv:1904.02199, to appear (inproceedings)

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[BibTex]

[BibTex]

2018


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Direct Sparse Odometry With Rolling Shutter

Schubert, D., Usenko, V., Demmel, N., Stueckler, J., Cremers, D.

European Conference on Computer Vision (ECCV), September 2018, accepted as oral presentation (conference)

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[BibTex]

2018


[BibTex]


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Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry

Yang, N., Wang, R., Stueckler, J., Cremers, D.

European Conference on Computer Vision (ECCV), September 2018, accepted as oral presentation, arXiv 1807.02570 (conference)

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link (url) [BibTex]

link (url) [BibTex]


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The TUM VI Benchmark for Evaluating Visual-Inertial Odometry

Schubert, D., Goll, T., Demmel, N., Usenko, V., Stueckler, J., Cremers, D.

In IEEE International Conference on Intelligent Robots and Systems (IROS), 2018, arXiv:1804.06120 (inproceedings)

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[BibTex]

[BibTex]


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Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform

Ma, L., Stueckler, J., Wu, T., Cremers, D.

arxiv, 2018, arXiv:1808.01834 (techreport)

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[BibTex]

[BibTex]


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Variational Network Quantization

Achterhold, J., Koehler, J. M., Schmeink, A., Genewein, T.

In International Conference on Learning Representations , 2018 (inproceedings)

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link (url) [BibTex]

link (url) [BibTex]


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Numerical Quadrature for Probabilistic Policy Search

Vinogradska, J., Bischoff, B., Achterhold, J., Koller, T., Peters, J.

IEEE Transactions on Pattern Analysis and Machine Intelligence, pages: 1-1, 2018 (article)

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DOI [BibTex]

DOI [BibTex]


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Omnidirectional DSO: Direct Sparse Odometry with Fisheye Cameras

Matsuki, H., von Stumberg, L., Usenko, V., Stueckler, J., Cremers, D.

IEEE Robotics and Automation Letters (RA-L) & Int. Conference on Intelligent Robots and Systems (IROS), Robotics and Automation Letters (RA-L), IEEE, 2018 (article)

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[BibTex]

[BibTex]


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Light field intrinsics with a deep encoder-decoder network

Alperovich, A., Johannsen, O., Strecke, M., Goldluecke, B.

In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 (inproceedings)

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link (url) [BibTex]

link (url) [BibTex]


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Sublabel-accurate convex relaxation with total generalized variation regularization

(DAGM Best Master's Thesis Award)

Strecke, M., Goldluecke, B.

In German Conference on Pattern Recognition (Proc. GCPR), 2018 (inproceedings)

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link (url) [BibTex]

link (url) [BibTex]

2010


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Combining depth and color cues for scale- and viewpoint-invariant object segmentation and recognition using Random Forests

Stueckler, J., Behnke, S.

In Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), pages: 4566-4571, October 2010 (inproceedings)

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link (url) DOI [BibTex]

2010


link (url) DOI [BibTex]


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Intuitive Multimodal Interaction for Domestic Service Robots

Nieuwenhuisen, M., Stueckler, J., Behnke, S.

In Proc. of the ISR/ROBOTIK, VDE Verlag, 2010 (inproceedings)

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link (url) [BibTex]

link (url) [BibTex]


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Improving People Awareness of Service Robots by Semantic Scene Knowledge

Stueckler, J., Behnke, S.

In RobuCup, 6556, pages: 157-168, Lecture Notes in Computer Science, Springer, 2010 (inproceedings)

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link (url) [BibTex]

link (url) [BibTex]


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Towards Semantic Scene Analysis with Time-of-flight Cameras

Holz, D., Schnabel, R., Droeschel, D., Stueckler, J., Behnke, S.

In RobuCup, 6556, pages: 121-132, Lecture Notes in Computer Science, Springer, 2010 (inproceedings)

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link (url) [BibTex]

link (url) [BibTex]


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Utilizing the Structure of Field Lines for Efficient Soccer Robot Localization

Schulz, H., Liu, W., Stueckler, J., Behnke, S.

In RobuCup, 6556, pages: 397-408, Lecture Notes in Computer Science, Springer, 2010 (inproceedings)

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link (url) [BibTex]

link (url) [BibTex]


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Improving indoor navigation of autonomous robots by an explicit representation of doors

Nieuwenhuisen, M., Stueckler, J., Behnke, S.

In Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA), pages: 4895-4901, May 2010 (inproceedings)

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link (url) DOI [BibTex]

link (url) DOI [BibTex]


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Improving imitated grasping motions through interactive expected deviation learning

Gräve, K., Stueckler, J., Behnke, S.

In Proc. of the 10th IEEE-RAS Int. Conf. on Humanoid Robots (Humanoids), pages: 397-404, December 2010 (inproceedings)

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link (url) DOI [BibTex]

link (url) DOI [BibTex]


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Learning Motion Skills from Expert Demonstrations and Own Experience using Gaussian Process Regression

Gräve, K., Stueckler, J., Behnke, S.

In Proc. of the ISR/ROBOTIK, pages: 1-8, VDE Verlag, 2010 (inproceedings)

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link (url) [BibTex]

link (url) [BibTex]


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Using Time-of-Flight cameras with active gaze control for 3D collision avoidance

Droeschel, D., Holz, D., Stueckler, J., Behnke, S.

In Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA), pages: 4035-4040, May 2010 (inproceedings)

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link (url) [BibTex]

link (url) [BibTex]

2007


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Hierarchical reactive control for a team of humanoid soccer robots

Behnke, S., Stueckler, J., Schreiber, M., Schulz, H., Böhnert, M., Meier, K.

In Proc. of the IEEE-RAS Int. Conf. on Humanoid Robots (Humanoids), pages: 622-629, November 2007 (inproceedings)

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link (url) DOI [BibTex]

2007


link (url) DOI [BibTex]