C. Lampert, “Detecting objects in large image collections and videos by efficient subimage retrieval,” presented at the ICCV: International Conference on Computer Vision, 2009, pp. 987–994.

M. Blaschko and C. Lampert, “Learning to localize objects with structured output regression,” presented at the ECCV: European Conference on Computer Vision, 2008, vol. 5302, pp. 2–15.

C. Lampert, “Partitioning of image datasets using discriminative context information,” presented at the CVPR: Computer Vision and Pattern Recognition, 2008, pp. 1–8.

C. Lampert and M. Blaschko, “A multiple kernel learning approach to joint multi-class object detection,” presented at the DAGM: German Association For Pattern Recognition, 2008, vol. 5096, pp. 31–40.

C. Lampert, M. Blaschko, and T. Hofmann, “Beyond sliding windows: Object localization by efficient subwindow search,” presented at the CVPR: Computer Vision and Pattern Recognition, 2008, pp. 1–8.

M. Blaschko, C. Lampert, and A. Gretton, “Semi-supervised Laplacian regularization of kernel canonical correlation analysis,” presented at the ECML: European Conference on Machine Learning, 2008, vol. 5211, no. Part 1, pp. 133–145.

M. Goldstein, C. Lampert, M. Reif, A. Stahl, and T. Breuel, “Bayes optimal DDoS mitigation by adaptive history-based IP filtering,” presented at the ICN: International Conference on Networking, 2008, pp. 174–179.

C. Lampert and M. Blaschko, “Joint kernel support estimation for structured prediction,” presented at the NIPS SISO: NIPS Workshop on “Structured Input - Structured Output,” 2008, pp. 1–4.

M. Blaschko and C. Lampert, “Correlational spectral clustering,” presented at the CVPR: Computer Vision and Pattern Recognition, 2008, pp. 1–8.

M. Blaschko, T. Hofmann, and C. Lampert, Efficient subwindow search for object localization, no. 164. Max-Planck-Institute for Biological Cybernetics, 2007.

A. Ulges, C. Lampert, D. Keysers, and T. Breuel, “Optimal dominant motion estimation using adaptive search of transformation space,” presented at the DAGM: German Association For Pattern Recognition, 2007, vol. 4713, pp. 204–213.

A. Ulges, C. Lampert, D. Keysers, and T. Breuel, “Optimal dominant motion estimation using adaptive search of transformation space,” presented at the DAGM: German Association For Pattern Recognition, 2007, vol. 4713, pp. 204–213.

C. Lampert and T. Breuel, “Objective quality measurement for geometric document image restoration,” presented at the DAS: Document Analysis Systems, 2006.

C. Lampert, “Machine learning for video compression: Macroblock mode decision,” presented at the ICPR: International Conference on Pattern Recognition, 2006, pp. 936–940.

H. Ali, C. Lampert, and T. Breuel, “Satellite tracks removal in astronomical images,” presented at the CIARP: Iberoamerican Congress in Pattern Recognition, 2006, vol. 4225, pp. 892–901.

A. Ulges, C. Lampert, and D. Keysers, “Spatiogram-based shot distances for video retrieval,” presented at the TRECVID Workshop, 2006, pp. 1–10.

C. Lampert, L. Mei, and T. Breuel, “Printing technique classification for document counterfeit detection,” presented at the CIS: Computational Intelligence and Security, 2006, vol. 1, pp. 639–634.

C. Lampert and O. Wirjadi, “An optimal non-orthogonal separation of the anisotropic Gaussian convolution filter,” IEEE Transactions on Image Processing (TIP), vol. 15, no. 11. IEEE, pp. 3501–3513, 2006.

C. Lampert and O. Wirjadi, “Anisotropic Gaussian filtering using fixed point arithmetic,” presented at the ICIP: IEEE International Conference on Image Processing, 2006, pp. 1565–1568.

D. Keysers, C. Lampert, and T. Breuel, “Color image dequantization by constrained diffusion,” presented at the SPIE Electronic Imaging, 2006, vol. 6058.