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Number of items: 42.

Pfeiffer, Jonas ; Geigle, Gregor ; Kamath, Aishwarya ; Steitz, Jan-Martin ; Roth, Stefan ; Vulić, Ivan ; Gurevych, Iryna (2022):
xGQA: Cross-Lingual Visual Question Answering.
In: Findings of the Association for Computational Linguistics: ACL 2022, pp. 2497-2511,
ACL, 60th Annual Meeting of the Association for Computational Linguistics, Dublin, Ireland, 22.-27.05.2022, ISBN 978-1-955917-25-4,
[Conference or Workshop Item]

Köberlein, Jana ; Bank, Lukas ; Roth, Stefan ; Köse, Ekrem ; Kuhlmann, Timm ; Prell, Bastian ; Stange, Maximilian ; Münnich, Marc ; Flum, Dominik ; Moog, Daniel ; Ihlenfeldt, Steffen ; Sauer, Alexander ; Weigold, Matthias ; Schilp, Johannes (2022):
Simulation Modeling for Energy-Flexible Manufacturing: Pitfalls and How to Avoid Them.
In: Energies, 15 (10), p. 3593. MDPI, ISSN 1996-1073,
DOI: 10.3390/en15103593,
[Article]

Köberlein, Jana ; Bank, Lukas ; Roth, Stefan ; Köse, Ekrem ; Kuhlmann, Timm ; Prell, Bastian ; Stange, Maximilian ; Münnich, Marc ; Flum, Dominik ; Moog, Daniel ; Ihlenfeldt, Steffen ; Sauer, Alexander ; Weigold, Matthias ; Schilp, Johannes (2022):
Simulation Modeling for Energy-Flexible Manufacturing: Pitfalls and How to Avoid Them. (Publisher's Version)
In: Energies, 15 (10), MDPI, e-ISSN 1996-1073,
DOI: 10.26083/tuprints-00021481,
[Article]

Mahajan, Shweta ; Roth, Stefan (2021):
PixelPyramids: Exact Inference Models from Lossless Image Pyramids.
In: Proceedings: 2021 IEEE/CVF International Conference on Computer Vision, pp. 6619-6628,
IEEE, IEEE/CVF International Conference on Computer Vision (ICCV'21), virtual Conference, 11.-17.10.2021, ISBN 978-1-6654-2812-5,
DOI: 10.1109/ICCV48922.2021.00657,
[Conference or Workshop Item]

Klein, Franz ; Mahajan, Shweta ; Roth, Stefan (2021):
Diverse Image Captioning with Grounded Style.
In: Lecture Notes in Computer Science, 13024, In: Pattern Recognition, pp. 421-436,
Springer, 43rd German Conference on Pattern Recognition (GCPR 2021), 28.09.-01.10.2021, ISBN 978-3-030-92658-8,
DOI: 10.1007/978-3-030-92659-5_27,
[Conference or Workshop Item]

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]

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]

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 (CVPR 2021), virtual Conference, 19.-25.06.2021, [Conference or Workshop Item]

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]

Mahajan, Shweta ; Roth, Stefan (2020):
Diverse Image Captioning with Context-Object Split Latent Spaces.
In: Advances in Neural Information Processing Systems, 33, pp. 3613-3624, Curran Associates, 34th Conference on Neural Information Processing Systems (NeurIPS 2020), virtual Conference, 06.-12.12.2020, ISBN 978-1-7138-2954-6,
[Conference or Workshop Item]

Gunther, Reinhart ; Bank, Lukas ; Brugger, Martin ; Hieronymus, Aljoscha ; Köberlein, Jana ; Roth, Stefan ; Bauernhansl, Thomas ; Sauer, Alexander ; Bauer, Dennis ; Kaymakci, Can ; Schel, Daniel ; Schlereth, Andreas ; Fridgen, Gilbert ; Buhl, Hans Ulrich ; Bojung, Caroline ; Schott, Paul ; Weibelzahl, Martin ; Wenninger, Simon ; Weigold, Matthias ; Lindner, Martin ; Ronge, Karlheinz ; Oeder, Andreas ; Schimmelpfennig, Jens ; Winter, Christian ; Jarke, Matthias ; Ahrens, Raphael (2020):
Konzept der Energiesynchronisationsplattform – Diskussionspapier V3.
Augsburg, Fraunhofer IGCV, DOI: 10.24406/igcv-n-602416,
[Report]

Bhattacharyya, Apratim ; Mahajan, Shweta ; Fritz, Mario ; Schiele, Bernt ; Roth, Stefan (2020):
Normalizing Flows With Multi-Scale Autoregressive Priors.
In: Proceedings: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 8412-8421,
IEEE, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, virtual Conference, 14.-19.06.2020, ISBN 978-1-7281-7168-5,
DOI: 10.1109/CVPR42600.2020.00844,
[Conference or Workshop Item]

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]

Mahajan, Shweta ; Gurevych, Iryna ; Roth, Stefan (2020):
Latent Normalizing Flows for Many-to-Many Cross Domain Mappings.
The Eighth International Conference on Learning Representations (ICLR 2020), Addis Ababa, Ethiopia, 26.04.2020-30.04.2020, [Conference or Workshop Item]

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]

Mahajan, Shweta ; Botschen, Teresa ; Gurevych, Iryna ; Roth, Stefan (2019):
Joint Wasserstein Autoencoders for Aligning Multimodal Embeddings.
ICCV 2019 Workshop on Cross-Modal Learning in Real World, Seoul, Korea, 27.10.2019- 02.11.2019, [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]

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.
In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 8237-8246,
Long Beach, California, United States, IEEE Conference on Computer Vision and Pattern Recognition, [Conference or Workshop Item]

Stubba, Daniel ; Bensinger, Dennis ; Steinbacher, Janika ; Proskurjakov, Lilia ; Salcedo Gómez, Álvaro ; Schmidt, Uwe ; Roth, Stefan ; Schmitz, Katja ; Schmidt, Boris (2019):
Cell‐Based Optimization of Covalent Reversible Ketoamide Inhibitors Bridging the Unprimed to the Primed Site of the Proteasome β5 Subunit.
In: ChemMedChem, 14 (23), pp. 2005-2022. ISSN 1860-7179,
DOI: 10.1002/cmdc.201900472,
[Article]

Gurevych, Iryna ; Meyer, Christian M. ; Binnig, Carsten ; Fürnkranz, Johannes ; Kersting, Kristian ; Roth, Stefan ; Simpson, Edwin
Gelbukh, Alexander (ed.) (2018):
Interactive Data Analytics for the Humanities.
In: Lecture Notes in Computer Science, 10761, In: Computational Linguistics and Intelligent Text Processing: Proceedings of the 18th International Conference, pp. 527-549, Berlin/Heidelberg, Springer, ISBN 978-3-319-77112-0,
DOI: 10.1007/978-3-319-77113-7_41,
[Book Section]

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]

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]

Sergieh, Hatem Mousselly ; Botschen, Teresa ; Gurevych, Iryna ; Roth, Stefan (2018):
A Multimodal Translation-Based Approach for Knowledge Graph Representation Learning.
In: Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics (*SEM), pp. 225-234,
Stroudsburg PA, USA, The Seventh Joint Conference on Lexical and Computational Semantics (*SEM), New Orleans LA, USA, 05.06.2018--06.06.2018, DOI: 10.18653/v1/S18-2027,
[Conference or Workshop Item]

Wannenwetsch, Anne S. ; Keuper, Margret ; 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]

Mousselly-Sergieh, Hatem ; Gurevych, Iryna ; Roth, Stefan (2017):
Neural, Multimodal, Energy-based Approach for Knowledge Graph Completion.
In: Language-Learning-Logic Workshop (3L 2017),
London, UK, [Conference or Workshop Item]

Gurevych, Iryna ; Meyer, Christian M. ; Binnig, Carsten ; Fürnkranz, Johannes ; Kersting, Kristian ; Roth, Stefan ; Simpson, Edwin
Gelbukh, Alexander (ed.) (2017):
Interactive Data Analytics for the Humanities.
In: Computational Linguistics and Intelligent Text Processing, pp. 527-549,
Budapest, Hungary, Springer International Publishing, International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2017, Budapest, Hungary, 17-23 April, 2017, ISBN 978-3-319-77113-7,
[Conference or Workshop Item]

Cordts, Marius ; Rehfeld, Timo ; Enzweiler, Markus ; Franke, Uwe ; Roth, Stefan (2017):
Tree-Structured Models for Efficient Multi-Cue Scene Labeling.
In: IEEE Transactions on Pattern Analysis and Machine Intelligence, 39 (7), pp. 1444-1454. ISSN 0162-8828,
DOI: 10.1109/TPAMI.2016.2592911,
[Article]

Boubekeur, Tamy ; Cignoni, Paolo ; Eisemann, Elmar ; Goesele, Michael ; Klein, Reinhard ; Roth, Stefan ; Weinmann, Michael ; Wimmer, Michael
Catalano, Chiara Eva ; Luca, Livio De (eds.) (2016):
Harvesting Dynamic 3D Worlds from Commodity Sensor Clouds.
The Eurographics Association, Eurographics Workshop on Graphics and Cultural Heritage, ISSN 2312-6124, ISBN 978-3-03868-011-6,
[Conference or Workshop Item]

Moore, Martina ; Roth, Stefan ; Gebert, Annett ; Schultz, Ludwig ; Gutfleisch, Oliver (2015):
The effect of surface grain reversal on the AC losses of sintered Nd–Fe–B permanent magnets.
In: Journal of Magnetism and Magnetic Materials, 375, pp. 43-48. Elsevier Science Publishing, ISSN 03048853,
[Article]

Bender, Jan ; Kuijper, Arjan ; Landesberger von Antburg, Tatiana ; Theisel, Holger ; Urban, Philipp ; Fellner, Dieter W. ; Goesele, Michael ; Roth, Stefan (eds.) (2014):
VMV 2014 : Vision, Modeling, and Visualization.
Eurographics Association, Goslar, ISBN 978-3-905674-74-3,
[Book]

Kuijper, Arjan ; Schwarzkopf, Andreas ; Kalbe, Thomas ; Bajaj, Chandrajit ; Roth, Stefan ; Goesele, Michael (2013):
3D Anisotropic Diffusion on GPUs by Closed-Form Local Tensor Computations.
In: Numerical Mathematics: Theory, Methods and Applications (NM-TMA), 6 (01), pp. 72-94. Cambridge Univ. Press, [Article]

Schelten, Kevin ; Roth, Stefan (2011):
Connecting Non-Quadratic Variational Models and MRFs.
[Report]

Meyer, Johannes ; Schnitzspan, Paul ; Kohlbrecher, Stefan ; Petersen, Karen ; Schwahn, Oliver ; Andriluka, Micha ; Klingauf, Uwe ; Roth, Stefan ; Schiele, Bernt ; Stryk, Oskar von ; Stryk, Oskar von
Ruiz-del-Solar, Javier ; Chown, Eric ; Plöger, Paul G. (eds.) (2011):
A Semantic World Model for Urban Search and Rescue Based on Heterogeneous Sensors.
In: Lecture Notes in Computer Science, 6556, In: RoboCup 2010: Robot Soccer World Cup XIV, pp. 180-193, Berlin, Heidelberg, Springer, [Book Section]

Meyer, Johannes ; Kohlbrecher, Stefan ; Andriluka, Micha ; Schnitzspan, Paul ; Petersen, Karen ; Stryk, Oskar von ; Roth, Stefan ; Schiele, Bernt ; Stryk, Oskar von (2010):
Vision Based Victim Detection from Unmanned Aerial Vehicles.
IEEE/RSJ International Conference on Intelligent Robots and Systems, Taipei, [Conference or Workshop Item]

Goesele, Michael ; Roth, Stefan ; Kuijper, Arjan ; Schiele, Bernt ; Schindler, Konrad (eds.) (2010):
Pattern Recognition, 32nd DAGM Symposium, Darmstadt, Germany, September 22-24, 2010.
In: Lecture Notes in Computer Science (LNCS), 6376, Heidelberg ; Dordrecht ; London ; New York, NY, Springer, ISBN 978-3-642-15985-5,
[Book]

Lempitsky, Victor ; Roth, Stefan ; Rother, Carsten (2008):
FusionFlow: Discrete-Continuous Optimization for Optical Flow Estimation.
p. 8, IEEE, New York, IEEE Conference on Computer Vision and Pattern Recognition, [Conference or Workshop Item]

Sun, Deqing ; Roth, Stefan ; Lewis, J. P. ; Black, Michael (2008):
Learning Optical Flow.
In: Lecture Notes in Computer Science (LNCS); 5304, pp. 83-97, Springer, Berlin, Heidelberg, New York, Computer Vision - ECCV 2008. Proceedings, Part III, [Conference or Workshop Item]

Andriluka, Mykhaylo ; Roth, Stefan ; Schiele, Bernt (2008):
People-Tracking-by-Detection and People-Detection-by-Tracking.
p. 8, IEEE, New York, IEEE Conference on Computer Vision and Pattern Recognition, [Conference or Workshop Item]

Baker, Simon ; Roth, Stefan ; Scharstein, Daniel ; Black, Michael ; Lewis, J. P. ; Szeliski, Richard (2007):
A Database and Evaluation Methodology for Optical Flow.
p. 8, IEEE Computer Society, Los Alamitos, Calif., IEEE 11th International Conference on Computer Vision, [Conference or Workshop Item]

Roth, Stefan (2007):
High-Order Markov Random Fields for Low-Level Vision.
Providence, Brown Univ., Diss., 2007,
[Ph.D. Thesis]

Roth, Stefan ; Black, Michael (2007):
Steerable Random Fields.
pp. 1115-1122, IEEE Computer Society, Los Alamitos, Calif., IEEE 11th International Conference on Computer Vision, [Conference or Workshop Item]

This list was generated on Sat Jun 25 00:31:30 2022 CEST.