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Jump to: A | B | C | D | J | P | R | S | W
Number of items at this level (without sub-levels): 18.

A

Araslanov, Nikita ; Roth, Stefan (2021):
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation.
In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 15384-15394,
IEEE, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPRW), virtual Conference, 19.-25.06.2021, [Conference or Workshop Item]

Araslanov, Nikita ; Rothkopf, Constantin ; Roth, Stefan (2019):
Actor-Critic Instance Segmentation.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA, [Conference or Workshop Item]

Araslanov, Nikita ; Rothkopf, Constantin A ; Roth, Stefan (2019):
Actor-Critic Instance Segmentation.
pp. 8237-8246, Long Beach, California, United States, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, [Conference or Workshop Item]

B

Botschen, Teresa ; Gurevych, Iryna ; Klie, Jan-Christoph ; Sergieh, Hatem Mousselly ; Roth, Stefan (2018):
Multimodal Frame Identification with Multilingual Evaluation.
In: Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 1481-1491,
Association for Computational Linguistics, New Orleans, USA, [Conference or Workshop Item]

C

Cordts, Marius (2017):
Understanding Cityscapes: Efficient Urban Semantic Scene Understanding.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

D

Dendorfer, Patrick ; Os̆ep, Aljos̆a ; Milan, Anton ; Schindler, Konrad ; Cremers, Daniel ; Reid, Ian ; Roth, Stefan ; Leal-Taixé, Laura (2020):
MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking.
In: International Journal of Computer Vision, Springer Nature, ISSN 0920-5691,
DOI: 10.1007/s11263-020-01393-0,
[Article]

Dong, Jiangxin ; Roth, Stefan ; Schiele, Bernt (2020):
Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring.
In: NeurIPS Proceedings, In: Advances in Neural Information Processing Systems 33,
34th Conference on Neural Information Processing Systems (NeurIPS 2020), virtual Conference, 06.-12.12.2020, [Conference or Workshop Item]

J

Javanmard-Gh., Arash ; Iwaszczuk, Dorota ; Roth, Stefan (2021):
DeepLIO: Deep LIDAR Inertial Sensor Fusion for Odometry Estimation.
In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-1-2021, pp. 47-54, Nice, XXIV ISPRS Congress (2021 edition), DOI: 10.5194/isprs-annals-V-1-2021-47-2021,
[Conference or Workshop Item]

P

Plötz, Tobias (2021):
Measuring and Removing Realistic Image Noise. (Publisher's Version)
Darmstadt, Technische Universität Darmstadt,
DOI: 10.26083/tuprints-00019105,
[Ph.D. Thesis]

R

Richter, Stephan Randolf (2020):
Visual Perception with Synthetic Data.
Darmstadt, Technische Universität,
DOI: 10.25534/tuprints-00013245,
[Ph.D. Thesis]

Rehfeld, Timo (2018):
Combining Appearance, Depth and Motion for Efficient Semantic Scene Understanding.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

S

Steitz, Jan-Martin O. ; Pfeiffer, Jonas ; Gurevych, Iryna ; Roth, Stefan (2021):
TxT: Crossmodal End-to-End Learning with Transformers.
DAGM German Conference on Pattern Recognition 2021, Virtual Conference, 28.09.-01.10.2021, [Conference or Workshop Item]

Saeedan, Faraz ; Weber, Nicolas ; Goesele, Michael ; Roth, Stefan (2018):
Detail-preserving pooling in deep networks.
In: Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
Salt Lake City, Utah, [Conference or Workshop Item]

Schelten, Kevin (2018):
Foundations, Inference, and Deconvolution in Image Restoration.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

Schmidt, Uwe (2017):
Half-quadratic Inference and Learning for Natural Images.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

W

Wannenwetsch, Anne S. ; Roth, Stefan (2020):
Probabilistic Pixel-Adaptive Refinement Networks.
In: Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 11639-11648,
IEEE, Conference on Computer Vision and Pattern Recognition CVPR, virtual Conference, 13.-19.06.2020, e-ISSN 2575-7075, ISBN 978-1-7281-7168-5,
DOI: 10.1109/CVPR42600.2020.01166,
[Conference or Workshop Item]

Wannenwetsch, Anne S. ; Kiefel, Martin ; Gehler, Peter V. ; Roth, Stefan
Fink, Gernot A. ; Frintrop, Simone ; Jiang, Xiaoyi (eds.) (2019):
Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice.
11824, In: Pattern Recognition 41st DAGM German Conference, DAGM GCPR 2019, Proceedings, pp. 345-359,
Dortmund, Germany, Springer, Proceedings of the 41st German Conference on Pattern Recognition, Dortmund, Sept 10-13, 2019, ISBN 978-3-030-33676-9,
DOI: 10.1007/978-3-030-33676-9_24,
[Conference or Workshop Item]

Wannenwetsch, Anne S. ; Keuper, Magret ; Roth, Stefan (2017):
ProbFlow: Joint Optical Flow and Uncertainty Estimation.
In: Proceedings of the Sixteenth IEEE International Conference on Computer Vision, pp. 1182 - 1191,
Venice, Italy, IEEE, 2017 IEEE International Conference on Computer Vision ICCV, Venice, Italy, 22-29 October 2017, e-ISSN 2380-7504, ISBN 978-1-5386-1032-9,
DOI: 10.1109/ICCV.2017.133,
[Conference or Workshop Item]

This list was generated on Sun Sep 26 01:14:25 2021 CEST.