I am leading the Holistic Vision Group (HVG) in the Department of Perceiving Systems at the Max Planck Institute for Intelligent Systems, my group is funded by the DFG through the CRC 1233 on Robust Vision.
I am interested in the intersection between computer vision and machine learning with a focus on holistic visual scene understanding. In particular, I am interested in analyzing and modeling people in our complex visual scenes.
Offers: I am looking for highly motivated PhD interns. I also have projects for bachelor and master thesis. If you are interested, please contact me direclty or send your application to ps-apply@tuebingen.mpg.de
I was a postdoctoral researcher at the Max Planck Institute for Intelligent Systems, advised by Michael Black. I finished my PhD summa cum laude at the Max Planck Institute for Informatics, under the supervision of Prof. Bernt Schiele. Before that, I received Master degree in Computer Science at RWTH Aachen University, advised by Prof. Bastian Leibe and Bachelor degree in Computer Science and Technology Department at Zhejiang University, China. I was a research intern at National Institute of Informatics, under the supervision of Prof. Helmut Prendinger.
IJCV, TPAMI
CVPR 2016, ECCV 2016,
CVPR 2017, ICCV 2017, NIPS 2017, ICML 2017.
Qianli Ma (with Michael Black)
Yan Zhang
Oct 2018 - March 2019
David Hoffmann (with Dimitris Tzionas)
April 2018 - present
June 2017 - December 2017
Machine Learning is an important tool for Computer Vision. After the success of Deep Neural Networks(DNN)s in image classification tasks, many other tasks were solved using DNNs. However, working with deep learning, researchers are confronted with many problems related to implementation, hyper-parameter se...
Siyu Tang Christoph Lassner Daniel Kappler Martin Kiefel Peter Vincent Gehler Maren Mahsereci Lukas Balles Philipp Hennig Javier Romero Philipp Hennig
Deep learning has brought rapid progress for many computer vision problems but current methods require large training datasets with annotated ground truth. Human annotators tend to be reasonably efficient for tasks like sparse 2D joint estimation, however annotation for other tasks like dense optical...
Javier Romero Anurag Ranjan Michael Black Jonas Wulff David Hoffmann Dimitris Tzionas Siyu Tang Naureen Mahmood
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Javier Romero Anurag Ranjan Michael Black Jonas Wulff David Hoffmann Dimitris Tzionas Siyu Tang Naureen Mahmood Gul Varol Cordelia Schmid
Human behavior can be described at multiple levels. At the lowest level, we observe the 3D pose of the body over time. Poses can be organized into primitives that capture coordinated activity of different body parts. These further form more complex "actions" or "behaviors". Finally, und...
People are often a central element of visual scenes. It has been a long-standing goal in computer vision to develop computational models that enable machines to detect crowds of people, analyze their motion and poses, infer their actions and reason about the consequences. Our research addresses a wide rang...
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Ma, L., Tang, S., Black, M. J., Gool, L. V.
Customized Multi-Person Tracker
In Computer Vision – ACCV 2018, Springer International Publishing, Asian Conference on Computer Vision, December 2018 (inproceedings)
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Zhang, Y., Tang, S., Sun, H., Neumann, H.
Human Motion Parsing by Hierarchical Dynamic Clustering
In Proceedings of the British Machine Vision Conference (BMVC), pages: 269, BMVA Press, 29th British Machine Vision Conference, September 2018 (inproceedings)
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Suh, Y., Wang, J., Tang, S., Mei, T., Lee, K. M.
Part-Aligned Bilinear Representations for Person Re-identification
In European Conference on Computer Vision (ECCV), 11218, pages: 418-437, Springer, Cham, September 2018 (inproceedings)
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Zhang, Y., Tang, S., Muandet, K., Jarvers, C., Neumann, H.
Local Temporal Bilinear Pooling for Fine-grained Action Parsing
arXiv preprint arXiv:1812.01922, 2018 (article)
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Song, J., Andres, B., Black, M., Hilliges, O., Tang, S.
End-to-end Learning for Graph Decomposition
arXiv:1812.09737, 2018 (article)
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Zhang, Y., Sun, H., Tang, S., Neumann, H.
Temporal Human Action Segmentation via Dynamic Clustering
arXiv preprint arXiv:1803.05790, 2018 (article)
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Keuper, M., Tang, S., Andres, B., Brox, T., Schiele, B.
Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 (article)
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Levinkov, E., Uhrig, J., Tang, S., Omran, M., Insafutdinov, E., Kirillov, A., Rother, C., Brox, T., Schiele, B., Andres, B.
Joint Graph Decomposition and Node Labeling by Local Search
In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages: 1904-1912, IEEE, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), July 2017 (inproceedings)
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Insafutdinov, E., Andriluka, M., Pishchulin, L., Tang, S., Levinkov, E., Andres, B., Schiele, B.
Articulated Multi-person Tracking in the Wild
In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages: 1293-1301, IEEE, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 2017, Oral (inproceedings)
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Tang, S., Andriluka, M., Andres, B., Schiele, B.
Multiple People Tracking by Lifted Multicut and Person Re-identification
In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages: 3701-3710, IEEE Computer Society, Washington, DC, USA, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), July 2017 (inproceedings)
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Rohrbach, A., Rohrbach, M., Tang, S., Oh, S. J., Schiele, B.
Generating Descriptions with Grounded and Co-Referenced People
In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages: 4196-4206, IEEE, Piscataway, NJ, USA, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 2017 (inproceedings)
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Pishchulin, L., Insafutdinov, E., Tang, S., Andres, B., Andriluka, M., Gehler, P., Schiele, B.
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation
In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages: 4929-4937, IEEE, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2016 (inproceedings)
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Tang, S., Andres, B., Andriluka, M., Schiele, B.
Multi-Person Tracking by Multicuts and Deep Matching
ECCV Workshop on Benchmarking Mutliple Object Tracking, 2016 (conference)
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Keuper, M., Tang, S., Yu, Z., Andres, B., Brox, T., Schiele, B.
A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects
In arXiv:1607.06317, 2016 (inproceedings)
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Tang, S., Andres, B., Andriluka, M., Schiele, B.
Subgraph decomposition for multi-target tracking
In 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages: 5033-5041, IEEE, IEEE Conference on Computer Vision and Pattern Recognition, June 2015 (inproceedings)
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Tang, S., Andriluka, M., Milan, A., Schindler, K., Roth, S., Schiele, B.
Learning People Detectors for Tracking in Crowded Scenes.
2014, Scene Understanding Workshop (SUNw, CVPR workshop) (unpublished)
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Tang, S., Andriluka, M., Schiele, B.
Detection and Tracking of Occluded People
International Journal of Computer Vision, 110, pages: 58-69, 2014 (article)
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Tang, S., Andriluka, M., Milan, A., Schindler, K., Roth, S., Schiele, B.
Learning People Detectors for Tracking in Crowded Scenes
In 2013 IEEE International Conference on Computer Vision, pages: 1049-1056, IEEE, IEEE International Conference on Computer Vision, December 2013 (inproceedings)
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Tang, S., Andriluka, M., Schiele, B.
Detection and Tracking of Occluded People
In British Machine Vision Conference (BMVC), 2012, BMVC Best Paper Award (inproceedings)
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Nakasone, A., Tang, S., Shigematsu, M., Heinecke, B., Fujimoto, S., Prendinger, H.
OpenBioSafetyLab: A virtual world based biosafety training application for medical students
In International Conference on Information Technology: New Generations (ITNG), IEEE CPS, 2011 (inproceedings)