CLVP
MEMBRI
Prof. Dr. Cristian Sminchisescu
Prof. Dr. Cristian Sminchisescu


Cristian Sminchisescu has obtained a doctorate in Computer Science and Applied Mathematics with an emphasis on imaging, vision and robotics at INRIA, France, under an Eiffel excellence doctoral fellowship, and has done postdoctoral research in the Artificial intelligence Laboratory at the University of Toronto. He is a member in the program committees of the main conferences in computer vision and machine learning (CVPR, ICCV, ECCV, NIPS, AISTATS) and a member of the Editorial Board (Associate Editor) of IEEE Transactions for Pattern Analysis and Machine Intelligence (PAMI). Sminchisescu has given more than 50 invited talks and presentations and has oferred tutorials on 3d tracking, recognition and optimization at ICCV and CVPR, the Chicago Machine Learning Summer School, the AEFRAI Vision School in Barcelona, and  the Vision Summer School at ETH Zurich.

Cristian Sminchisescu’s research goal is to train computers to `see’. His research interests are in the area of mathematical modeling for computer vision (articulated objects, 3d reconstruction, segmentation, and object and action recognition) and machine learning (optimization and sampling algorithms, structured prediction, sparse approximations and kernel methods).  Recent work by himself and his collaborators has produced state-of-the art results in the monocular 3d human pose estimation benchmark (HumanEva) and was the winner of the PASCAL VOC object segmentation and labeling challenge, at the editions organized over the past three editions.





PUBLICATIONS
1. E. Marinoiu, D. Papava, C. Sminchisescu. Pictorial Human Spaces: A Computational Study on the Human Perception of 3D Articulated Poses, International Journal of Computer Vision, 2016.
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2. S. Mathe, A. Pirinen, C. Sminchisescu. Reinforcement Learning for Visual Object Detection, IEEE International Conference on Computer Vision and Pattern Recognition, 2016
3. C. Ionescu, O. Vantzos, C. Sminchisescu. Matrix Backpropagation for Deep Networks with Structured Layers, IEEE International Conference on Computer Vision, 2015
4. J. Carreira, R. Caseiro, J. Batista and C. Sminchisescu. Free-Form Region Description with Second-Order Pooling. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015.
5. A. Zanfir, C. Sminchisescu. Large Displacement 3D Scene Flow with Occlusion Reasoning, IEEE International Conference on Computer Vision, 2015.
6. S. Mathe, C. Sminchisescu. Actions in the Eye: Dynamic Gaze Datasets and Learnt Saliency Models for Visual Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015.
7. D. Banica, C. Sminchisescu. Second-Order Constrained Parametric Proposals and Sequential Search-Based Structured Prediction for Semantic Segmentation in RGB-D Images, IEEE International Conference on Computer Vision and Pattern Recognition, 2015.
8. C. Ionescu, D. Papava, V. Olaru, C. Sminchisescu: Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2014.
9. M. Leordeanu, R. Sukthankar, and C. Sminchisescu: Generalized Boundaries from Multiple Image Interpretations, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2014.
10. S. Mathe and C. Sminchisescu. Dynamic Eye Movement Datasets and Learnt Saliency Models for Visual Action Recognition, European Conference on Computer Vision, Springer, 2012.
11. E. Bazavan, F. Li, and C. Sminchisescu. Fourier Kernel Learning, European Conference on Computer Vision, Springer, 2012.
12. M. Leordeanu, R. Sukthankar, and C. Sminchisescu. Efficient Closed-Form Solution to Generalized Boundary Detection. European Conference on Computer Vision, Springer, 2012.
13. A. Levinshtein, C. Sminchisescu, and S. Dickinson. Optimal Contour Closure. International Journal of Computer Vision, 2012.
14. J. Carreira, R. Caseiro, J. Batista, and C. Sminchisescu. Semantic Segmentation with Second-Order Pooling, European Conference on Computer Vision, Springer, 2012.
15. M. Leordeanu, C. Sminchisescu: Efficient Hypergraph Clustering, Artificial Intelligence and Statistics, 2012.
16. F. Li, G. Lebanon, and C. Sminchisescu. Chebyshev Approximations to the Histogram χ2 Kernel. In IEEE International Conference on Computer Vision and Pattern Recognition, 2012.
17. J. Carreira, F. Li, C. Sminchisescu: Object Recognition by Sequential Figure-Ground Ranking, International Journal of Computer Vision, 2011.
18. C. Sminchisescu, M. Welling: Generalized Darting Monte-Carlo, Pattern Recognition, 2011.
19. J. Carreira, C. Sminchisescu: Constrained Parametric Min-Cuts for Automatic Object Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011.
20. M, Leordeanu, A. Zanfir, C. Sminchisescu: Semi-supervised Learning and Optimization for Hypergraph Matching, International Conference on Computer Vision, 2011.
21. C. Ionescu, F. Li, C. Sminchisescu: Latent Structured Models for Human Pose Estimation, International Conference on Computer Vision, 2011.
22. L. Bo, C. Sminchisescu: Twin Gaussian Processes for Structured Prediction, International Journal of Computer Vision, 2010.
23. C. Sminchisescu, A. Kanaujia, D. Metaxas: BM3E: Discriminative Density propagation for Visual Tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007.
24. C. Sminchisescu, B. Triggs: Fast-Mixing Hyperdynamic Sampling, Journal of Image and Vision Computing, 2006.
25. C. Sminchisescu, A. Kanaujia, D. Metaxas: Conditional Models for Contextual Human Motion Recognition, Computer Vision and Image Understanding, 2006.
26. C. Sminchisescu, B. Triggs: Building Roadmaps of minima and Transitions in Visual Models, International Journal of Computer Vision, 2005.
27. C. Sminchisescu, D. Metaxas, S. Dickinson: Incremental Model-Based Estimation using Geometric Constraints, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005.
28. C. Sminchisescu, B. Triggs: Estimating Articulated Human Motion with Covariance Scaled Sampling, International Journal of Robotics Research, 2003.
 
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