| Address: | Institut für Numerische Simulation Wegelerstr. 4 (Flachbau) 53115 Bonn Germany |
| Office: | We4 C1 |
| Phone: | +49 228 733522 |
| E-Mail: | cristian.sminchisescu ins.uni-bonn.de |
| URL: | http://sminchisescu.ins.uni-bonn.de/people/sminchisescu.html |
| [1] |
D. Han, L. Bo, and C. Sminchisescu.
Selection and Context for Action Recognition.
In IEEE International Conference on Computer Vision, September
2009. [ bib | .pdf 1 ] |
| [2] |
C. Ionescu, L. Bo, and C. Sminchisescu.
Structural SVM for Visual Localization and Continuous State
Estimation.
In IEEE International Conference on Computer Vision, September
2009. [ bib | .pdf 1 ] |
| [3] |
A. Levinshtein, S. Dickinson, and C. Sminchisescu.
Multiscale Symmetric Part Detection and Grouping.
In IEEE International Conference on Computer Vision, September
2009. [ bib | .pdf 1 ] |
| [4] |
L. Bo and C. Sminchisescu.
Efficient Match Kernel between Sets of Features for Visual
Recognition.
In Advances in Neural Information Processing Systems, December
2009. [ bib | .pdf 1 ] |
| [5] |
L. Bo and C. Sminchisescu.
Supervised Spectral Latent Variable Models.
In Artificial Intelligence and Statistics, April 2009. [ bib | .pdf 1 ] |
| [6] |
F. Li, Y. Fu, Y. Hong-Dai, C. Sminchisescu, and J. Wang.
Kernel Learning by Unconstrained Optimization.
In Artificial Intelligence and Statistics, April 2009. [ bib | .pdf 1 ] |
| [7] |
L. Bo and C. Sminchisescu.
Structured Output-Associative Regression.
In IEEE International Conference on Computer Vision and Pattern
Recognition, 2009. [ bib | .pdf 1 ] |
| [8] |
L. Bo and C. Sminchisescu.
Twin Gaussian Processes for Structured Prediction.
International Journal of Computer Vision, 2009. [ bib | .pdf 1 ] |
| [9] |
L. Bo, C. Sminchisescu, A. Kanaujia, and D. Metaxas.
Fast Algorithms for Large Scale Conditional 3D Prediction.
In IEEE International Conference on Computer Vision and Pattern
Recognition, June 2008. [ bib | .pdf 1 ] |
| [10] |
L. Bo and C. Sminchisescu.
Greedy Block Coordinate Descent for Large Scale Gaussian Process
Regression.
In Uncertainty in Artificial Intelligence, July 2008. [ bib | .pdf 1 ] |
| [11] |
L. Bo and C. Sminchisescu.
Twin Gaussian Processes for Structured Prediction.
Snowbird Learning, April 2008. [ bib | .pdf 1 ] |
| [12] |
A. Levinshtein, C. Sminchisescu, and S. Dickinson.
Qualitative 3D Surface Reconstruction from Images.
Snowbird Learning, April 2008. [ bib | .pdf 1 ] |
| [13] |
C. Sminchisescu and C. Ionescu.
Hierarchical Spectral Latent Variable Models.
Snowbird Learning, April 2008. [ bib | .pdf 1 ] |
| [14] |
C. Sminchisescu and M. Welling.
Generalized Darting Monte-Carlo.
Pattern Recognition, 2008.
Submitted. [ bib ] |
| [15] |
A. Kanaujia, C. Sminchisescu, and D. Metaxas.
Spectral Latent Variable Models for Perceptual Inference.
In IEEE International Conference on Computer Vision, October
2007. [ bib | .pdf 1 ] |
| [16] |
A. Kumar and C. Sminchisescu.
Support kernel machines for object recognition.
In IEEE International Conference on Computer Vision, October
2007. [ bib | .pdf 1 ] |
| [17] |
A. Kumar and C. Sminchisescu.
Support Kernel Machines for Object Recognition.
Technical Report CSRG-562, University of Toronto, May 2007. [ bib ] |
| [18] |
A. Kanaujia, C. Sminchisescu, and D. Metaxas.
Semi-Supervised Hierarchical Models for 3D Human Pose
Reconstruction.
In IEEE International Conference on Computer Vision and Pattern
Recognition, June 2007. [ bib | .pdf 1 ] |
| [19] |
A. Kanaujia, C. Sminchisescu, and D. Metaxas.
Sparse Spectral Latent Variable Models for Perceptual Inference.
Technical Report DCS-TR-610, Rutgers University, February 2007. [ bib ] |
| [20] |
Z. Lu, M. C. Perpinan, and C. Sminchisescu.
People Tracking with the Laplacian Eigenmaps Latent Variable Model.
In Advances in Neural Information Processing Systems, December
2007. [ bib | .pdf 1 ] |
| [21] |
A. Kanujia, C. Sminchisescu, and D. Metaxas.
Hierarchical Models for 3D Visual Inference.
Snowbird Learning, April 2007. [ bib | .pdf 1 ] |
| [22] |
C. Sminchisescu.
Learning and Inference Algorithms for Monocular Perception.
Applications to Visual Object Detection, Localization and Time Series Models
for 3D Human Motion Understanding, 2007.
University of Bonn, Faculty of Mathematics and Natural Sciences.
Habilitation Thesis. [ bib ] |
| [23] |
C. Sminchisescu, A. Kanaujia, and D. Metaxas.
BM3E: Discriminative Density Propagation for Visual Tracking.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
2007. [ bib | .pdf 1 ] |
| [24] |
C. Sminchisescu and M. Welling.
Generalized Darting Monte-Carlo.
In Artificial Intelligence and Statistics, volume 1, 2007. [ bib | .pdf 1 ] |
| [25] |
C. Sminchisescu and M. Welling.
Generalized darting Monte Carlo.
Technical Report CSRG-543, University of Toronto, October 2006. [ bib | .pdf 1 ] |
| [26] |
C. Sminchisescu, A. Kanaujia, and D. Metaxas.
Bidirectional Model Learning for Visual Inference.
Snowbird Learning, April 2006. [ bib | .pdf 1 ] |
| [27] |
M. van Eede, D. Macrini, A. Telea, C. Sminchisescu, and S. J. Dickinson.
Canonical skeletons for shape matching.
In IEEE International Conference on Pattern Recognition, pages
64-69, 2006. [ bib | .pdf 1 ] |
| [28] |
D. Ramanan and C. Sminchisescu.
Training Deformable Models for Localization.
In IEEE International Conference on Computer Vision and Pattern
Recognition, 2006. [ bib | .pdf 1 ] |
| [29] |
C. Sminchisescu, A. Kanaujia, and D. Metaxas.
Conditional models for contextual human motion recognition.
In Computer Vision and Image Understanding, 2006. [ bib ] |
| [30] |
C. Sminchisescu, A. Kanaujia, and D. Metaxas.
Learning Joint Top-down and Bottom-up Processes for 3D Visual
Inference.
In IEEE International Conference on Computer Vision and Pattern
Recognition, 2006. [ bib | .pdf 1 ] |
| [31] |
C. Sminchisescu, A. Kanaujia, Z. Li, and D. Metaxas.
Conditional models for human motion recognition.
Technical Report CSRG-517, University of Toronto, March 2005. [ bib ] |
| [32] |
A. Levinshtein, C. Sminchisescu, and S. J. Dickinson.
Learning hierarchical shape models from examples.
In Energy Minimization Methods in Computer Vision and Pattern
Recognition, St. Augustine, FL, USA, November 9-11, 2005, Proceedings, pages
251-267, 2005. [ bib | .pdf 1 ] |
| [33] |
C. Sminchisescu, A. Kanaujia, Z. Li, and D. Metaxas.
Discriminative Density Propagation for 3D Human Motion Estimation.
In IEEE International Conference on Computer Vision and Pattern
Recognition, volume 1, pages 390-397, 2005. [ bib | .pdf 1 ] |
| [34] |
C. Sminchisescu, A. Kanaujia, Z. Li, and D. Metaxas.
Conditional models for contextual human motion recognition.
In IEEE International Conference on Computer Vision, volume 2,
pages 1808-1815, 2005. [ bib | .pdf 1 ] |
| [35] |
C. Sminchisescu, A. Kanaujia, Z. Li, and D. Metaxas.
Conditional Visual Tracking in Kernel Space.
In Advances in Neural Information Processing Systems, 2005. [ bib | .pdf 1 ] |
| [36] |
C. Sminchisescu, D. Metaxas, and S. Dickinson.
Incremental Model-Based Estimation using Geometric Consistency
Constraints.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
2005. [ bib | .pdf 1 ] |
| [37] |
C. Sminchisescu and B. Triggs.
Building Roadmaps of Minima and Transitions in Visual Models.
International Journal of Computer Vision, 61(1), 2005. [ bib | .pdf 1 ] |
| [38] |
C. Sminchisescu and A. Jepson.
Density Propagation for Continuous Temporal Chains. Discriminative
and Generative Models.
Technical Report CSRG-501, University of Toronto, University of
Toronto, October 2004. [ bib | .pdf 1 ] |
| [39] |
C. Sminchisescu and A. Jepson.
Density propagation for continuous temporal chains. Generative and
discriminative models.
Technical Report CSRG-401, University of Toronto, October 2004. [ bib ] |
| [40] |
C. Sminchisescu, A. Kanaujia, Z. Li, and D. Metaxas.
Learning to reconstruct 3D human motion from Bayesian mixtures of
experts. A probabilistic discriminative approach.
Technical Report CSRG-502, University of Toronto, October 2004. [ bib | .pdf 1 ] |
| [41] |
A. Telea, C. Sminchisescu, and S. Dickinson.
Hierarchical Skeleton Abstraction.
Technical Report CSRG-480, University of Toronto, January 2004. [ bib | .pdf 1 ] |
| [42] |
C. Sminchisescu and A. Jepson.
Variational Mixture Smoothing for Non-Linear Dynamical Systems.
In IEEE International Conference on Computer Vision and Pattern
Recognition, volume 2, pages 608-615, Washington D.C., 2004. [ bib | .pdf 1 ] |
| [43] |
C. Sminchisescu and A. Jepson.
Generative Modeling for Continuous Non-Linearly Embedded Visual
Inference.
In International Conference on Machine Learning, pages
759-766, Banff, 2004. [ bib | .pdf 1 ] |
| [44] |
C. Sminchisescu and B. Triggs.
Fast Mixing Hyperdynamic Sampling.
Journal of Image and Vision Computing, 2004.
Special Issue on Selected Papers from the European Conference on
Computer Vision (2002). [ bib | .pdf 1 ] |
| [45] |
A. Telea, C. Sminchisescu, and S. Dickinson.
Optimal Inference for Hierarchical Skeleton Abstraction.
In IEEE International Conference on Pattern Recognition, 2004. [ bib | .pdf 1 ] |
| [46] |
C. Sminchisescu and A. Jepson.
Non-linearly Embedded Visual Tracking.
Technical Report CSRG-477, University of Toronto, September 2003. [ bib ] |
| [47] |
C. Sminchisescu, M. Welling, and G. Hinton.
A Mode-Hopping MCMC Sampler.
Technical Report CSRG-478, University of Toronto, September 2003. [ bib | .pdf 1 ] |
| [48] |
C. Sminchisescu and B. Triggs.
Kinematic Jump Processes for Monocular 3D Human Tracking.
In IEEE International Conference on Computer Vision and Pattern
Recognition, volume 1, pages 69-76, Madison, 2003. [ bib | .pdf 1 ] |
| [49] |
C. Sminchisescu and B. Triggs.
Estimating Articulated Human Motion with Covariance Scaled
Sampling.
International Journal of Robotics Research, 22(6):371-393,
2003. [ bib | .pdf 1 ] |
| [50] |
C. Sminchisescu.
Estimation Algorithms for Ambiguous Visual
Models-Three-Dimensional Human Modeling and Motion Reconstruction in
Monocular Video Sequences.
PhD thesis, Institute National Politechnique de Grenoble (INRIA),
July 2002. [ bib ] |
| [51] |
C. Sminchisescu.
Consistency and Coupling in Human Model Likelihoods.
In IEEE International Conference on Automatic Face and Gesture
Recognition, pages 27-32, Washington D.C., 2002. [ bib | .pdf 1 ] |
| [52] |
C. Sminchisescu and A. Telea.
Human Pose Estimation from Silhouettes. A Consistent Approach Using
Distance Level Sets.
In WSCG International Conference for Computer Graphics,
Visualization and Computer Vision, Czech Republic, 2002. [ bib | .pdf 1 ] |
| [53] |
C. Sminchisescu and B. Triggs.
Building Roadmaps of Local Minima of Visual Models.
In European Conference on Computer Vision, volume 1, pages
566-582, Copenhagen, 2002. [ bib | .pdf 1 ] |
| [54] |
C. Sminchisescu and B. Triggs.
Hyperdynamics Importance Sampling.
In European Conference on Computer Vision, volume 1, pages
769-783, Copenhagen, 2002. [ bib | .pdf 1 ] |
| [55] |
C. Sminchisescu, D. Metaxas, and S. Dickinson.
Incremental Model-Based Estimation Using Geometric Consistency
Constraints.
Technical Report 4209, INRIA, June 2001. [ bib | .ps.gz 1 ] |
| [56] |
C. Sminchisescu, D. Metaxas, and S. Dickinson.
Improving the Scope of Deformable Model Shape and Motion
Estimation.
In IEEE International Conference on Computer Vision and Pattern
Recognition, volume 1, pages 485-492, Hawaii, 2001. [ bib | .pdf 1 ] |
| [57] |
C. Sminchisescu and A. Telea.
A Framework for Generic State Estimation in Computer Vision
Applications.
In S. Verlag, editor, International Conference for Computer
Vision, ICVS International Conference on Computer Vision Systems, pages
21-34, Vancouver, 2001. [ bib | .ps.gz 1 ] |
| [58] |
C. Sminchisescu and B. Triggs.
A Robust Multiple Hypothesis Approach to Monocular Human Motion
Tracking.
Technical Report RR-4208, INRIA, 2001. [ bib | .ps.gz 1 ] |
| [59] |
C. Sminchisescu and B. Triggs.
Covariance-Scaled Sampling for Monocular 3D Body Tracking.
In IEEE International Conference on Computer Vision and Pattern
Recognition, volume 1, pages 447-454, Hawaii, 2001. [ bib | .pdf 1 ] |
| [60] |
C. Sminchisescu and A. Telea.
An Object-Oriented Approach to C++ Compiler Technology.
In European Conference on Object Oriented Programming, PHOOS
Workshop, Lisabon, 1999. [ bib | .ps.gz 1 ] |
| [61] |
A. Telea and C. Sminchisescu.
A Component-Based DataFlow Framework for Simulation and
Visualization.
In European Conference on Object Oriented Programming, PHOOS
Workshop, Lisabon, 1999. [ bib | .ps.gz 1 ] |