Lampert, Christoph. Detecting Objects in Large Image Collections and Videos by Efficient Subimage Retrieval. IEEE, 2009, pp. 987–94, doi:10.1109/ICCV.2009.5459359.

Blaschko, Matthew, and Christoph Lampert. Learning to Localize Objects with Structured Output Regression. Vol. 5302, Springer, 2008, pp. 2–15, doi:10.1007/978-3-540-88682-2_2.

Lampert, Christoph. Partitioning of Image Datasets Using Discriminative Context Information. IEEE, 2008, pp. 1–8, doi:10.1109/CVPR.2008.4587448.

Lampert, Christoph, and Matthew Blaschko. A Multiple Kernel Learning Approach to Joint Multi-Class Object Detection. Vol. 5096, Springer, 2008, pp. 31–40, doi:10.1007/978-3-540-69321-5_4.

Lampert, Christoph, et al. Beyond Sliding Windows: Object Localization by Efficient Subwindow Search. IEEE, 2008, pp. 1–8, doi:10.1109/CVPR.2008.4587586.

Blaschko, Matthew, et al. Semi-Supervised Laplacian Regularization of Kernel Canonical Correlation Analysis. Vol. 5211, no. Part 1, Springer, 2008, pp. 133–45, doi:10.1007/978-3-540-87479-9_27.

Goldstein, Markus, et al. Bayes Optimal DDoS Mitigation by Adaptive History-Based IP Filtering. IEEE, 2008, pp. 174–79, doi:10.1109/ICN.2008.64.

Lampert, Christoph, and Matthew Blaschko. Joint Kernel Support Estimation for Structured Prediction. Curran Associates, Inc., 2008, pp. 1–4.

Blaschko, Matthew, and Christoph Lampert. Correlational Spectral Clustering. IEEE, 2008, pp. 1–8, doi:10.1109/CVPR.2008.4587353.

Blaschko, Matthew, et al. “Efficient Subwindow Search for Object Localization.” Unknown, no. 164, Max-Planck-Institute for Biological Cybernetics, 2007.

Ulges, Adrian, et al. Optimal Dominant Motion Estimation Using Adaptive Search of Transformation Space. Vol. 4713, Springer, 2007, pp. 204–13, doi:10.1007/978-3-540-74936-3_21.

Ulges, Adrian, et al. Optimal Dominant Motion Estimation Using Adaptive Search of Transformation Space. Vol. 4713, Springer, 2007, pp. 204–13, doi:10.1007/978-3-540-74936-3_21.

Lampert, Christoph, and Thomas Breuel. Objective Quality Measurement for Geometric Document Image Restoration. Springer, 2006.

Lampert, Christoph. Machine Learning for Video Compression: Macroblock Mode Decision. IEEE, 2006, pp. 936–40, doi:10.1109/ICPR.2006.778.

Ali, Haider, et al. Satellite Tracks Removal in Astronomical Images. Vol. 4225, Springer, 2006, pp. 892–901, doi:10.1007/11892755_92.

Ulges, Adrian, et al. Spatiogram-Based Shot Distances for Video Retrieval. NIST (National Institute of Standards and Technology, US Department of Commerce), 2006, pp. 1–10.

Lampert, Christoph, et al. Printing Technique Classification for Document Counterfeit Detection. Vol. 1, IEEE, 2006, pp. 639–634, doi:10.1109/ICCIAS.2006.294214.

Lampert, Christoph, and Oliver Wirjadi. “An Optimal Non-Orthogonal Separation of the Anisotropic Gaussian Convolution Filter.” 10.1109/TIP.2006.877501 __IEEE Transactions on Image Processing (TIP), vol. 15, no. 11, IEEE, 2006, pp. 3501–13, doi: 10.1109/TIP.2006.877501 .

Lampert, Christoph, and Oliver Wirjadi. Anisotropic Gaussian Filtering Using Fixed Point Arithmetic. IEEE, 2006, pp. 1565–68, doi:10.1109/ICIP.2006.312606.

Keysers, Daniel, et al. Color Image Dequantization by Constrained Diffusion. Vol. 6058, SPIE, 2006, doi:10.1117/12.648713.

Ulges, Adrian, et al. Document Image Dewarping Using Robust Estimation of Curled Text Lines. Vol. 2, IEEE, 2005, pp. 1001–05, doi: 10.1109/ICDAR.2005.90.

Lampert, Christoph, et al. Oblivious Document Capture and Real-Time Retrieval. CBDAR, 2005, pp. 79–86.

Lampert, Christoph. “Boundary Regularity of Admissible Operators.”10.5565/PUBLMAT_49105_08__Publicacions Matemàtiques, vol. 49, no. 1, Universitat Autònoma de Barcelona, Departament de Matemàtique, 2005, pp. 179–95, doi:10.5565/PUBLMAT_49105_08.

Ulges, Adrian, et al. Document Capture Using Stereo Vision. ACM, 2004, pp. 198–200, doi:10.1145/1030397.1030434.

Lampert, Christoph. “The Neumann Operator in Strictly Pseudoconvex Domains with Weighted Bergman Metric .” Bonner Mathematische Schriften, vol. 356, Universität Bonn, Fachbibliothek Mathematik, 2003, pp. 1–165.