Research Group of Prof. Dr. C. Sminchisescu
Mathematical Sciences



Publications

[103] A. Popa, M. Zanfir, C. Sminchisescu. Deep Multitask Architecture for Integrated 2D and 3D Human Sensing, IEEE International Conference on Computer Vision and Pattern Recognition, 2017.
bib .pdf 1 ]
[102] C. Ionescu, A. Popa, C. Sminchisescu. Large-Scale Data Driven Kernel Approximation, Artificial Intelligence and Statistics, 2017.
bib .pdf 1 ]
[101] D. Nilsson, C. Sminchisescu. Semantic Video Segmentation by Gated Recurrent Flow Propagation, Preprint arXiv:1612.08871, 2016.
bib .pdf 1 ]
[100] 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.
bib .pdf 1  data ]
[98] S. Mathe, A. Pirinen, C. Sminchisescu. Reinforcement Learning for Visual Object Detection, IEEE International Conference on Computer Vision and Pattern Recognition, 2016.
bib .pdf 1 ]
[97] M. Zanfir, E. Marinoiu, C. Sminchisescu. Spatio-Temporal Attention Models for Grounded Video Captioning, Asian Conference on Computer Vision, 2016.
bib .pdf 1 ]
[96] A. Popa, C. Sminchisescu. Parametric Image Segmentation of Humans with Structural Shape Priors, Asian Conference on Computer Vision, 2016.
bib .pdf 1 ]
[96] C. Ionescu, O. Vantzos, C. Sminchisescu. Matrix Backpropagation for Deep Networks with Structured Layers, IEEE International Conference on Computer Vision, 2015.
bib .pdf .long arXiv pdf 1 ]
[95] A. Zanfir, C. Sminchisescu. Large Displacement 3D Scene Flow with Occlusion Reasoning, IEEE International Conference on Computer Vision, 2015.
bib .pdf 1 ]
[94] T. Lee, S. Fidler, A. Levinshtein, C. Sminchisescu, S. Dickinson. A Framework for Symmetric Part Detection in Cluttered Scenes, Symmetry (7), 2015.
bib .pdf 1 ]
[93] D. Banica, C. Sminchisescu. Second-Order Constrained Parametric Proposals and Sequential Search-Based Structured Prediction for Semantic Segmentation in RGB-D Images (our RGB-D semantic segmentation winning entry at the Reconstruction Meets Recognition Challenge RMRC14), IEEE International Conference on Computer Vision and Pattern Recognition, 2015.
bib .pdf 1 ]
[92] 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.
bib .pdf 1 ]
[91] 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.
bib .pdf 1 ]
[90] C. Ionescu, J.Carreira, C. Sminchisescu. Iterated Second-Order Label Sensitive Pooling for 3D Human Pose Estimation. IEEE International Conference on Computer Vision and Pattern Recognition, 2014.
bib .pdf 1  project page ]
[89] D. Banica, C. Sminchisescu. Constrained Parametric Proposals and Pooling Methods for Semantic Segmentation in RGB-D Images. (our RGB-D semantic segmentation winning entry at the Reconstruction Meets Recognition Challenge RMRC at European Conference on Computer Vision), arXiv:1312.7715 Preprint, v1 December 2013, v2 July 2014.
bib .pdf 1 ]
[88] E. Marinoiu, D. Papava, C. Sminchisescu. Pictorial Human Spaces: How Well do Humans Perceive a 3D Articulated Pose? Journal of Vision, 2014.
bib .link 1  project page ]
[87] S. Mathe, C. Sminchisescu. Actions in the Eye. Journal of Vision, 2014.
bib .link 1 ]
[86] C. Ionescu, D. Papava, V. Olaru, and 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, 2014.
bib .pdf 1 ]
[85] A. Ion, J. Carreira, and C. Sminchisescu. Probabilistic Joint Image Segmentation and Labeling by Figure-Ground Composition. International Journal of Computer Vision, 2014.
bib .pdf 1 ]
[84] M. Leordeanu, R. Sukthankar, and C. Sminchisescu. Generalized Boundaries from Multiple Image Interpretations. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014.
bib .pdf 1 ]
[83] A. Levinshtein, C. Sminchisescu, S. Dickinson. Multiscale Symmetric Part Detection and Grouping. International Journal of Computer Vision, 104(2): 117-134, 2013.
bib .pdf 1 ]
[82] S. Mathe and C. Sminchisescu. Action from Still Image Dataset and Inverse Optimal Control to Learn Task Specific Visual Scanpaths. In Advances in Neural Information Processing Systems, December 2013.
bib | .pdf 1 ]
[81] E. Marinoiu, D. Papava, and C. Sminchisescu. Pictorial Human Spaces. How Well do Humans Perceive a 3D Articulated Pose? In International Conference on Computer Vision, December 2013.
bib | .pdf 1 ]
[80] M. Leordeanu, A. Zanfir, and C. Sminchisescu. Locally Affine Sparse-to-Dense Matching for Motion and Occlusion Estimation. In International Conference on Computer Vision, December 2013.
bib | .pdf 1 ]
[79] D. Banica, A. Agape, A. Ion, and C. Sminchisescu. Video Object Segmentation by Salient Segment Chain Composition. In International Conference on Computer Vision, IPGMW, December 2013.
bib | .pdf 1 ]
[78] M. Zanfir, M. Leordeanu, and C. Sminchisescu. The Moving Pose: An Efficient 3D Kinematics Descriptor for Low-Latency Action Recognition and Detection. In International Conference on Computer Vision, December 2013.
bib | .pdf 1 ]
[77] F. Li, J. Carreira, G. Lebanon and C. Sminchisescu. Composite Statistical Inference for Semantic Segmentation. In IEEE Conference on Computer Vision and Pattern Recognition, June 2013.
bib | .pdf 1  | .long TR ]
[76] S. Mathe and C. Sminchisescu. Dynamic Eye Movement Datasets and Learned Saliency Models for Visual Action Recognition. In European Conference on Computer Vision, October 2012.
bib | .pdf 1 ]
[75] J. Carreira, R. Caseiro, J. Batista, and C. Sminchisescu. Semantic Segmentation with Second-Order Pooling. In European Conference on Computer Vision, October 2012.
bib | .pdf 1 ]
[74] M. Leordeanu, R. Sukthankar, and C. Sminchisescu. Efficient Closed-Form Solution to Generalized Boundary Detection. In European Conference on Computer Vision, October 2012.
bib | .pdf 1 ]
[73] E. Bazavan, F. Li, and C. Sminchisescu. Fourier Kernel Learning. In European Conference on Computer Vision, October 2012.
bib | .pdf 1 ]
[72] S. Mathe and C. Sminchisescu. Actions in the eye: Dynamic gaze datasets and learnt saliency models for visual recognition. Technical report, Institute of Mathematics of the Romanian Academy and University of Bonn, February 2012.
bib ]
[71] F. Li, G. Lebanon, and C. Sminchisescu. Chebyshev Approximations to the Histogram χ2 Kernel. Technical report, April 2012. Long version of CVPR2012 paper.
bib | .pdf 1 ]
[70] M. Leordeanu and C. Sminchisescu. Efficient Hypergraph Clustering. In Artificial Intelligence and Statistics, 2012.
bib | .pdf 1 ]
[69] 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.
bib | .pdf 1 ]
[68] J. Carreira and C. Sminchisescu. CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012.
bib | .pdf 1 ]
[67] A. Levinshtein, C. Sminchisescu, and S. Dickinson. Optimal Contour Closure. International Journal of Computer Vision, 2012.
bib ]
[66] C. Ionescu, F. Li, and C. Sminchisescu. Latent Structured Models for Human Pose Estimation. In IEEE International Conference on Computer Vision, November 2011.
bib | .pdf 1 ]
[65] A. Ion, J. Carreira, and C. Sminchisescu. Image Segmentation by Figure-Ground Composition into Maximal Cliques. In IEEE International Conference on Computer Vision, November 2011.
bib | .pdf 1 ]
[64] M. Leordeanu, A. Zanfir, and C. Sminchisescu. Semi-supervised Learning and Optimization for Hypergraph Matching. In IEEE International Conference on Computer Vision, November 2011.
bib | .pdf 1 ]
[63] J. Carreira, F. Li, and C. Sminchisescu. Object Recognition by Sequential Figure-Ground Ranking. International Journal of Computer Vision, November 2011.
bib | .pdf 1 ]
[62] A. Ion, J. Carreira, and C. Sminchisescu. Probabilistic Joint Image Segmentation and Labeling. In Advances in Neural Information Processing Systems, December 2011.
bib | .pdf 1 ]
[61] C. Sminchisescu, L. Bo, C. Ionescu, and A. Kanaujia. Feature-based Human Pose Estimation, in Guide to Visual Analysis of Humans: Looking at People. Springer, 2011.
bib ]
[60] C. Sminchisescu and M. Welling. Generalized Darting Monte-Carlo. Pattern Recognition, 2011.
bib | .pdf 1 ]
[59] A. Levinshtein, C. Sminchisescu, and S. Dickinson. Optimal Contour Closure by Superpixel Grouping. In European Conference on Computer Vision, September 2010.
bib | .pdf 1 ]
[58] F. Li, C. Ionescu, and C. Sminchisescu. Random Fourier Approximations for Skewed Multiplicative Histogram Kernels. In Lecture Notes for Computer Science (DAGM), September 2010. DAGM paper prize.
bib | .pdf 1 ]
[57] A. Levinshtein, C. Sminchisescu, and S. Dickinson. Spatiotemporal Closure. In Asian Conference on Computer Vision, November 2010.
bib | .pdf 1 ]
[56] F. Li and C. Sminchisescu. The Feature Selection Path in Kernel Methods. In Artificial Intelligence and Statistics, May 2010.
bib | .pdf 1 ]
[55] J. Carreira, A. Ion, and C. Sminchisescu. Image Segmentation by Discounted Cumulative Ranking on Maximal Cliques. Technical Report 06-2010 (arXiv:1009.4823), Computer Vision and Machine Learning Group, Institute for Numerical Simulation, University of Bonn, June 2010. description of our second-scoring PASCAL VOC 2010 segmentation entry. Also available at http://arxiv.org/abs/1009.4823.
bib | .pdf 1 ]
[54] J. Carreira and C. Sminchisescu. Constrained Parametric Min-Cuts for Automatic Object Segmentation. In IEEE International Conference on Computer Vision and Pattern Recognition, June 2010. description of our winning PASCAL VOC 2009 and 2010 segmentation entry.
bib | .pdf 1 ]
[53] F. Li, J. Carreira, and C. Sminchisescu. Object Recognition as Ranking Holistic Figure-Ground Hypotheses. In IEEE International Conference on Computer Vision and Pattern Recognition, June 2010. description of our winning PASCAL VOC 2009 and 2010 recognition entry.
bib | .pdf 1 ]
[52] F. Li and C. Sminchisescu. Convex Multiple Instance Learning by Estimating Likelihood Ratio. In Advances in Neural Information Processing Systems, December 2010.
bib | .pdf 1 ]
[51] J. Carreira, F. Li, and C. Sminchisescu. Object Recognition by Ranking Figure-Ground Hypotheses. Snowbird Learning, April 2010.
bib | .pdf 1 ]
[50] F. Li and C. Sminchisescu. Convex Multiple-Instance Learning. Snowbird Learning, April 2010.
bib | .pdf 1 ]
[49] L. Bo and C. Sminchisescu. Twin Gaussian Processes for Structured Prediction. International Journal of Computer Vision, 2010.
bib | .pdf 1 ]
[48] 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 ]
[47] 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 ]
[46] 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 ]
[45] 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 ]
[44] L. Bo and C. Sminchisescu. Supervised Spectral Latent Variable Models. In Artificial Intelligence and Statistics, April 2009.
bib | .pdf 1 ]
[43] C. Ionescu and C. Sminchisescu. Hierarchical Latent Variable Models for Human Pose Inference. Snowbird Learning, April 2009.
bib | .pdf 1 ]
[42] 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 ]
[41] L. Bo and C. Sminchisescu. Structured Output-Associative Regression. In IEEE International Conference on Computer Vision and Pattern Recognition, 2009.
bib | .pdf 1 ]
[40] 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 ]
[39] 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 ]
[38] L. Bo and C. Sminchisescu. Twin Gaussian Processes for Structured Prediction. Snowbird Learning, April 2008.
bib | .pdf 1 ]
[37] A. Levinshtein, C. Sminchisescu, and S. Dickinson. Qualitative 3D Surface Reconstruction from Images. Snowbird Learning, April 2008.
bib | .pdf 1 ]
[36] C. Sminchisescu and C. Ionescu. Hierarchical Spectral Latent Variable Models. Snowbird Learning, April 2008.
bib | .pdf 1 ]
[35] 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 ]
[34] A. Kumar and C. Sminchisescu. Support kernel machines for object recognition. In IEEE International Conference on Computer Vision, October 2007.
bib | .pdf 1 ]
[33] C. Sminchisescu. 3D human Motion Reconstruction in Monocular Video. Techniques and Challenges, volume 36 of Human Motion Capture: Modeling, Analysis, Animation. Springer, October 2007. ISBN 978-1-4020-6692-4.
bib | .pdf 1 ]
[32] 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 ]
[31] 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 ]
[30] A. Kanujia, C. Sminchisescu, and D. Metaxas. Hierarchical Models for 3D Visual Inference. Snowbird Learning, April 2007.
bib | .pdf 1 ]
[29] 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 | .pdf 1 ]
[28] 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 ]
[27] C. Sminchisescu and M. Welling. Generalized Darting Monte-Carlo. In Artificial Intelligence and Statistics, volume 1, 2007.
bib | .pdf 1 ]
[26] C. Sminchisescu. Optimization Algorithms for Non-linear Time Series Models. Matrix Publishing Ltd., 2007. ISBN 978-973-755-211-2.
bib ]
[25] C. Sminchisescu, A. Kanaujia, and D. Metaxas. Bidirectional Model Learning for Visual Inference. Snowbird Learning, April 2006.
bib | .pdf 1 ]
[24] 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 ]
[23] D. Ramanan and C. Sminchisescu. Training Deformable Models for Localization. In IEEE International Conference on Computer Vision and Pattern Recognition, 2006.
bib | .pdf 1 ]
[22] C. Sminchisescu, A. Kanaujia, and D. Metaxas. Conditional models for contextual human motion recognition. In Computer Vision and Image Understanding, 2006.
bib | .pdf 1 ]
[21] 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 ]
[20] 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 ]
[19] 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 ]
[18] 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 ]
[17] 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 ]
[16] 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 ]
[15] 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 ]
[14] 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 ]
[13] 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 ]
[12] 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 ]
[11] A. Telea, C. Sminchisescu, and S. Dickinson. Optimal Inference for Hierarchical Skeleton Abstraction. In IEEE International Conference on Pattern Recognition, 2004.
bib | .pdf 1 ]
[10] 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 ]
[9] 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 ]
[8] C. Sminchisescu. Estimation Algorithms for Ambiguous Visual Models : Three Dimensional Human Modeling and Motion Reconstruction in Monocular Video Sequences. PhD thesis, INPG, Juillet 2002.
bib | .pdf 1 ]
[7] 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 ]
[6] 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 ]
[5] 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 ]
[4] C. Sminchisescu and B. Triggs. Hyperdynamics Importance Sampling. In European Conference on Computer Vision, volume 1, pages 769-783, Copenhagen, 2002.
bib | .pdf 1 ]
[3] 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 ]
[2] 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 ]
[1] 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 ]