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2012

M. Atif and Jähne, B., “Optimal Depth Estimation from a Single Image by Computational Imaging using Chromatic Aberrations”, in Forum Bildverarbeitung, 2012, p. 23--34.

M. Erz and Jähne, B., “Optimale und differenzierte Kameraauswahl nach dem EMVA-Standard 1288”, in Forum Bildverarbeitung, 2012, p. 35--46.

B. Y. Renard, Xu, B., Kirchner, M., Zickmann, F., Winter, D., Korten, S., Brattig, N., Tzur, A., Hamprecht, F. A., and Steen, H., “Overcoming species boundaries in peptide identification with BICEPS”, Molecular and Cellular Proteomics, vol. 11, 2012.

Technical Report (444.6 KB)

X. Lou, Fiaschi, L., Köthe, U., and Hamprecht, F. A., “Quality Classification of Microscopic Imagery with Weakly Supervised Learning”, MICCAI-MLMI. Proceedings, pp. 176-183, 2012.

Technical Report (4.15 MB)

M. Geese, Ruhnau, P., and Jähne, B., “Scene based maximum likelihood PRNU and DSNU non uniformity correction”, in Forum Bildverarbeitung, 2012, p. 71--82.

C. N. Straehle, Köthe, U., Briggman, K., Denk, W., and Hamprecht, F. A., “Seeded watershed cut uncertainty estimators for guided interactive segmentation”, in CVPR 2012. Proceedings, 2012, pp. 765 - 772.

Technical Report (2.84 MB)

X. Lou and Hamprecht, F. A., “Structured Learning from Partial Annotations”, ICML 2012. Proceedings, 2012.

Technical Report (843.45 KB)

S. Meister, Izadi, S., Kohli, P., Hämmerle, M., Rother, C., and Kondermann, D., “When Can We Use KinectFusion for Ground Truth Acquisition?”, in Workshop on Color-Depth Camera Fusion in Robotics, IEEE International Conference on Intelligent Robots and Systems, 2012.

S. Meister, Izadi, S., Kohli, P., and M Hämmerle, M. \, “When can we use KinectFusion for ground truth acquisition?”, Proc Workshop on \ldots, pp. 3–8, 2012.

E. - A. Horvát, Hanselmann, M., Hamprecht, F. A., and Zweig, K. A., “You Are Who Knows You: Predicting Links Between Non-Members of Facebook”, European Conference on Complex Systems. Proceedings, vol. 3, pp. 309-315, 2012.

Technical Report (1.92 MB)

E. - A. Horvát, Hanselmann, M., Hamprecht, F. A., and Zweig, K. A., “You Are Who Knows You: Predicting Links Between Non-Members of Facebook”, European Conference on Complex Systems. Proceedings, vol. 3, pp. 309-315, 2012.

Technical Report (1.92 MB)

E. - A. Horvát, Hanselmann, M., Hamprecht, F. A., and Zweig, K. A., “You Are Who Knows You: Predicting Links Between Non-Members of Facebook”, European Conference on Complex Systems. Proceedings, vol. 3, pp. 309-315, 2012.

Technical Report (1.92 MB)

2013

B. Jähne, “625 Jahre Ruperto Carola und 25 Jahre Bildverarbeitung”, Universität Heidelberg. Menschen, Lebenswege, Forschung, vol. 55. Gesellschaft der Freunde Universität Heidelberg e. V., p. 71--73, 2013.

P. Hanslovsky, “Advanced Cell Tacking-by-Assignment”, University of Heidelberg, 2013.

F. Diego, Reichinnek, S., Both, M., and Hamprecht, F. A., “Automated Identification of Neuronal Activity from Calcium Imaging by Sparse Dictionary Learning”, ISBI 2013. Proceedings, pp. 1058-1061, 2013.

Technical Report (2.82 MB)

R. Mikut, Dickmeis, T., Driever, W., Geurts, P., Hamprecht, F. A., Kausler, B. X., Ledesma-Carbayo, M., Marée, R., Mikula, K., Pantazis, P., Ronneberger, O., Santos, A., and Stotzka, R., “Automated Processing of Zebrafish Imaging Data: A Survey”, Zebrafish, vol. 10 (3), 2013.

Technical Report (1.73 MB)

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.

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.

Technical Report (1.35 MB)

M. Schiegg, Hanslovsky, P., Kausler, B. X., Hufnagel, L., and Hamprecht, F. A., “Conservation Tracking”, in ICCV 2013. Proceedings, 2013, p. 2928--2935.

Technical Report (5.22 MB)

M. Schiegg, Hanslovsky, P., Kausler, B. X., Hufnagel, L., and Hamprecht, F. A., “Conservation Tracking”, in ICCV 2013. Proceedings, 2013, p. 2928--2935.

Technical Report (5.22 MB)

M. Schiegg, Hanslovsky, P., Kausler, B. X., Hufnagel, L., and Hamprecht, F. A., “Conservation Tracking”, in ICCV 2013. Proceedings, 2013, p. 2928--2935.

Technical Report (5.22 MB)

B. Maco, Holtmaat, A., Cantoni, M., Kreshuk, A., Straehle, C. N., Hamprecht, F. A., and Knott, G. W., “Correlative in vivo 2 photon and focused ion beam scanning electron microscopy of cortical neurons”, PloS one, vol. 8 (2), 2013.

Technical Report (2.13 MB)

B. Maco, Holtmaat, A., Cantoni, M., Kreshuk, A., Straehle, C. N., Hamprecht, F. A., and Knott, G. W., “Correlative in vivo 2 photon and focused ion beam scanning electron microscopy of cortical neurons”, PloS one, vol. 8 (2), 2013.

Technical Report (2.13 MB)

M. Hornáček, Rhemann, C., Gelautz, M., and Rother, C., “Depth super resolution by rigid body self-similarity in 3D”, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2013, pp. 1123–1130.

R. Haeusler, Nair, R., and Kondermann, D., “Ensemble Learning for Confidence Measures in Stereo Vision”, in CVPR 2013, in press, 2013, pp. 305-312.

A. Hosni, Rhemann, C., Bleyer, M., Rother, C., and Gelautz, M., “Fast cost-volume filtering for visual correspondence and beyond”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, pp. 504–511, 2013.

J. Horn, “Hochaufgelöste optische Wellenhöhenmessung am Aeolotron mit Laser-induzierter Fluoreszenz”, Institut für Umwelphysik, Univeristät Heidelberg, Germany, 2013.

L. Fiaschi, Grosser, K. - H., Afonso, B., Zlatic, M., and Hamprecht, F. A., “Keeping Count: Leveraging Temporal Context to Count Heavily Overlapping Objects”, ISBI 2013.Proceedings, pp. 656-659, 2013.

Technical Report (711.68 KB)

C. N. Straehle, Peter, S., Köthe, U., and Hamprecht, F. A., “K-smallest Spanning Tree Segmentations”, in German Conference on Pattern Recognition (DAGM/GCPR). Proceedings, 2013, pp. 375-384.

Technical Report (1.18 MB)

F. Diego and Hamprecht, F. A., “Learning Multi-Level Sparse Representation”, in NIPS. Proceedings, 2013.

Technical Report (2.79 MB)

F. Diego and Hamprecht, F. A., “Learning Multi-Level Sparse Representation for Identifying Neuronal Activity”, in Signal Processing with Adaptive Sparse Structured Representations Workshop (SPARS). Book of Abstracts., 2013.

Technical Report (1.05 MB)

T. Kröger, Mikula, S., Denk, W., Köthe, U., and Hamprecht, F. A., “Learning to Segment Neurons with Non-local Quality Measures”, in MICCAI 2013. Proceedings, part II, 2013, vol. 8150, pp. 419-427.

Technical Report (2.87 MB)

M. Becker, Baron, M., Kondermann, D., Bussler, M., and Helzle, V., “Movie Dimensionalization Via Sparse User Annotations”, in submitted to 3DTV-Con, 2013.

F. Herrmannsdörfer, “SimpleSTORM an Efficient Selfcalibrating Reconstruction Algorithm for Single and Multi-Channel Localisation Microscopy”, University of Heidelberg, 2013.

P. Swoboda and Schnörr, C., “Variational Image Segmentation and Cosegmentation with the Wasserstein Distance”, in Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013, vol. 8081, p. 321--334.

Technical Report (8.06 MB)

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