Publications

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2012
J. Röder, Kunzmann, K., Nadler, B., and Hamprecht, F. A., Active Learning with Distributional Estimates, UAI 2012. Proceedings, pp. 715-725, 2012.PDF icon Technical Report (267.67 KB)
L. Nagel, Richter, K. E., and Jähne, B., Active Thermography as a Link between Laboratory and Field Studies, in SOLAS Open Science Conference, Washington State, USA, 2012.
B. Andres, Kröger, T., Briggmann, K. L., Denk, W., Norogod, N., Knott, G. W., Köthe, U., and Hamprecht, F. A., Globally Optimal Closed-Surface Segmentation for Connectomics, in ECCV 2012. Proceedings, Part 3, 2012, pp. 778-791.PDF icon Technical Report (2.72 MB)
R. Nair, Meister, S., Lambers, M., Balda, M., Hofmann, H., Kolb, A., Kondermann, D., and Jähne, B., Ground truth for evaluating time of flight imaging, Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications, vol. 8200. Springer, p. 52--74, 2012.
R. Nair, Lenzen, F., Schäfer, H., Meister, S., Garbe, C. S., and Kondermann, D., High Accuracy TOF and Stereo Sensor Fusion at Interactive Rates, in submitted to ECCV 2012, 2012, vol. 7584, pp. 1-11.
R. Nair, Lenzen, F., Meister, S., Schäfer, H., Garbe, C. S., and Kondermann, D., High accuracy TOF and stereo sensor fusion at interactive rates, in Computer Vision--ECCV 2012. Workshops and Demonstrations, 2012, p. 1--11.PDF icon Technical Report (7.29 MB)
R. Nair, Lenzen, F., Meister, S., Schäfer, H., Garbe, C. S., and Kondermann, D., High accuracy TOF and stereo sensor fusion at interactive rates, in Computer Vision–ECCV 2012. Workshops and Demonstrations, 2012, pp. 1–11.
B. Jähne and Nagel, L., Investigation of small-scale air-sea interaction processes by active thermography, in Geoscience and Remote Sensing Symposium (IGARSS), 2012, p. 358--361.
L. Fiaschi, Nair, R., Köthe, U., and Hamprecht, F. A., Learning to Count with Regression Forest and Structured Labels, ICPR 2012. Proceedings, pp. 2685-2688, 2012.PDF icon Technical Report (3.66 MB)
J. Jancsary, Nowozin, S., and Rother, C., Loss-specific training of non-parametric image restoration models: A new state of the art, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, vol. 7578 LNCS, pp. 112–125.
J. Jancsary, Nowozin, S., and Rother, C., Loss-specific training of non-parametric image restoration models: A new state of the art, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, vol. 7578 LNCS, pp. 112–125.
J. Jancsary, Nowozin, S., and Rother, C., Non-parametric crfs for image labeling, in NIPS Workshop Modern Nonparametric Methods in Machine Learning, 2012, pp. 1–5.
J. Jancsary, Nowozin, S., Sharp, T., and Rother, C., Regression Tree Fields An efficient, non-parametric approach to image labeling problems, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2012, pp. 2376–2383.
J. Jancsary, Nowozin, S., Sharp, T., and Rother, C., Regression Tree Fields An efficient, non-parametric approach to image labeling problems, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2012, pp. 2376–2383.
P. Kohli, Nickisch, H., Rother, C., and Rhemann, C., User-centric learning and evaluation of interactive segmentation systems, International Journal of Computer Vision, vol. 100, pp. 261–274, 2012.
2013
S. Mersmann, Seitel, A., Erz, M., Jähne, B., Nickel, F., Mieth, M., Mehrabi, A., and Maier-Hein, L., Calibration of time-of-flight cameras for accurate intraoperative surface reconstruction, Med. Phys., vol. 40, p. 082701, 2013.
J. H. Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Sungwoong, K., Kausler, B. X., Lellmann, J., Komodakis, N., and Rother, C., A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems, in CVPR 2013. Proceedings, 2013.PDF icon Technical Report (1.35 MB)
J. H. Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Lellmann, J., Komodakis, N., and Rother, C., A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problem, in CVPR, 2013.PDF icon Technical Report (1.35 MB)
F. Lenzen, Kim, K. I., Schäfer, H., Nair, R., Meister, S., Becker, F., and Garbe, C. S., Denoising Strategies for Time-of-Flight Data, in Time-of-Flight Imaging: Algorithms, Sensors and Applications, 2013, vol. 8200, pp. 24-25.
F. Lenzen, Kim, K. In, Schäfer, H., Nair, R., Meister, S., Becker, F., and Garbe, C. S., Denoising Strategies for Time-of-Flight Data, Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications, vol. 8200. Springer, pp. 25-45, 2013.PDF icon Technical Report (961.62 KB)
U. Schmidt, Rother, C., Nowozin, S., Jancsary, J., and Roth, S., Discriminative Non-blind Deblurring, 2013.
R. Haeusler, Nair, R., and Kondermann, D., Ensemble Learning for Confidence Measures in Stereo Vision, in CVPR 2013, in press, 2013, pp. 305-312.
J. Jancsary, Nowozin, S., and Rother, C., Learning convex QP relaxations for structured prediction, in 30th International Conference on Machine Learning, ICML 2013, 2013, pp. 1952–1960.
S. Meister, Nair, R., and Kondermann, D., Simulation of Time-of-Flight Sensors using Global Illumination, in Vision, Modeling and Visualization (VMV), 2013 International Workshop on. Proceedings, 2013, pp. 33-40.
K. Berger, Meister, S., Nair, R., and Kondermann, D., A State of the Art Report on Kinect Sensor Setups in Computer Vision, in Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications, 2013, vol. 8200, pp. 257-272.
R. Nair, Ruhl, K., Lenzen, F., Meister, S., Schäfer, H., Garbe, C. S., Eisemann, M., and Kondermann, D., A Survey on Time-of-Flight Stereo Fusion, in Time-of-Flight Imaging: Algorithms, Sensors and Applications, 2013, vol. 8022, pp. 105-127.
R. Nair, Ruhl, K., Lenzen, F., Meister, S., Schäfer, H., Garbe, C. S., Eisemann, M., Magnor, M., and Kondermann, D., A Survey on Time-of-Flight Stereo Fusion, Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications, vol. 8200. Springer, pp. 105-127, 2013.PDF icon Technical Report (6.05 MB)
R. Nair, Ruhl, K., Lenzen, F., Meister, S., Schäfer, H., Garbe, C. S., Eisemann, M., Magnor, M., and Kondermann, D., A Survey on Time-of-Flight Stereo Fusion, Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications, vol. 8200. Springer, pp. 105-127, 2013.
D. Lefloch, Nair, R., Lenzen, F., Schäfer, H., Streeter, L., and Cree, M. J., Technical Foundation and Calibration Methods for Time-of-Flight Cameras, in Time-of-Flight Imaging: Algorithms, Sensors and Applications, 2013, vol. 8200.
D. Lefloch, Nair, R., Lenzen, F., Schäfer, H., Streeter, L., Cree, M. J., Koch, R., and Kolb, A., Technical Foundation and Calibration Methods for Time-of-Flight Cameras, Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications, vol. 8200. Springer, pp. 3-24, 2013.
2014
L. Nagel, Active Thermography to Investigate Small-Scale Air-Water Transport Processes in the Laboratory and the Field, vol. Dissertation. Institut für Umweltphysik, Fakultät für Chemie und Geowissenschaften, Univ.\ Heidelberg, 2014.
L. Nagel, Krall, K. Ellen, and Jähne, B., Comparative heat and gas exchange measurements in the Heidelberg Aeolotron, a large annular wind-wave tank, Ocean Sci. Discuss., vol. 11, p. 1691--1718, 2014.
J. H. Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems, CoRR, 2014.
J. H. Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems, CoRR, vol. abs/1404.0533, 2014.PDF icon Technical Report (3.32 MB)
M. Knorr, Esparza, J., Niehsen, W., and Stiller, C., Extrinsic calibration of a fisheye multi-camera setup using overlapping fields of view, in Intelligent Vehicles Symposium Proceedings, 2014, p. 1276--1281.

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