[111] Deep Network for the Integrated 3D Sensing of Multiple People in Natural Images
A. Zanfir, E. Marinoiu, M. Zanfir, A.I. Popa, C. Sminchisescu

Advances in Neural Information Processing Systems, 2018

[110] Monocular 3D Pose and Shape Estimation of Multiple People in Natural Scenes - The Importance of Multiple Scene Constraints
A. Zanfir, E. Marinoiu, C. Sminchisescu

The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018

[109] 3D Human Sensing, Action and Emotion Recognition in Robot Assisted Therapy of Children With Autism
E. Marinoiu, M. Zanfir, V. Olaru, C. Sminchisescu

The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018

[108] Deep Learning of Graph Matching
A. Zanfir, C. Sminchisescu

The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018

[107] Human Appearance Transfer
M. Zanfir, A.I. Popa, A. Zanfir, C. Sminchisescu

The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018

[106] Semantic Video Segmentation by Gated Recurrent Flow Propagation
D. Nilsson, C. Sminchisescu

The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018

[105] Deep Reinforcement Learning of Region Proposal Networks for Object Detection
A. Pirinen, C. Sminchisescu

The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018

[104] Deep Multitask Architecture for Integrated 2D and 3D Human Sensing
A.I. Popa and M. Zanfir and C. Sminchisescu

IEEE International Conference on Computer Vision and Pattern Recognition, 2017

[103] Large Scale Data Dependent Kernel Approximation
C. Ionescu and A.I. Popa and C. Sminchisescu

Artificial Intelligence and Statistics, 2017

[102] Semantic Video Segmentation by Gated Recurrent Flow Propagation
D. Nilsson and C. Sminchisescu

arXiv:1612.08871, 2016

[101] Pictorial Human Spaces: A Computational Study on the Human Perception of 3D Articulated Poses
E. Marinoiu and D. Papava and C. Sminchisescu

International Journal of Computer Vision, 2016

[100] Reinforcement Learning for Visual Object Detection
S. Mathe, A. Pirinen, C. Sminchisescu

IEEE International Conference on Computer Vision and Pattern Recognition, 2016

[99] Spatio-Temporal Attention Models for Grounded Video Captioning
M. Zanfir and E. Marinoiu and C. Sminchisescu

Asian Conference on Computer Vision, 2016

[98] Parametric Image Segmentation of Humans with Structural Shape Priors
A.I. Popa and C. Sminchisescu

Asian Conference on Computer Vision, 2016

[96] Matrix Backpropagation for Deep Networks with Structured Layers
C. Ionescu and O. Vantzos and C. Sminchisescu

IEEE International Conference on Computer Vision, 2015

[96] Training Deep Networks with Structured Layers by Matrix Backpropagation
C. Ionescu, O. Vantzos, C. Sminchisescu

Preprint arXiv:1509.07838, 2015

[95] Large Displacement 3D Scene Flow with Occlusion Reasoning
A. Zanfir, C. Sminchisescu

IEEE International Conference on Computer Vision, 2015

[94] A Framework for Symmetric Part Detection in Cluttered Scenes
Tom Sie Ho Lee and Sanja Fidler and Alex Levinshtein and Cristian Sminchisescu and Sven J. Dickinson

Symmetry, volume 7, pages: 1333--1351, 2015

[93] Second-Order Constrained Parametric Proposals and Sequential Search-Based Structured Prediction for Semantic Segmentation in RGB-D Images
D. Banica and C. Sminchisescu

CVPR, 2015

[92] Actions in the Eye: Dynamic Gaze Datasets and Learnt Saliency Models for Visual Recognition
S. Mathe and C. Sminchisescu

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015

[91] Free-Form Region Description with Second-Order Pooling
J. Carreira and R. Caseiro and J. Batista and C. Sminchisescu

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015

[90] Iterated Second-Order Label Sensitive Pooling for 3D Human Pose Estimation
C. Ionescu and Joao Carreira and C. Sminchisescu

IEEE Conference on Computer Vision and Pattern Recognition, 2014

[89] Constrained Parametric Proposals and Pooling Methods for Semantic Segmentation in RGB-D Images
D. Banica, C. Sminchisescu

arXiv:1312.7715 Preprint, v1 December 2013, v2 July 2014, 2014

[88] Pictorial Human Spaces. How Well Do People Perceive a 3D Articulated Pose?
E. Marinous and D. Papava and C. Sminchisescu

Journal of Vision, 2014

[87] Actions in the Eye
S. Mathe and C. Sminchisescu

Journal of Vision, 2014

[86] Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments
C. Ionescu and D. Papava and V. Olaru and C. Sminchisescu

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014

[85] Probabilistic Joint Image Segmentation and Labeling by Figure-Ground Composition
A. Ion and C. Sminchisescu and J. Carreira

International Journal of Computer Vision, 2014

[84] Generalized Boundaries from Multiple Image Interpretation
M. Leordeanu and R. Sukthankar and C. Sminchisescu

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014

[83] Multiscale Symmetric Part Detection and Grouping
Levinshtein, Alex and Sminchisescu, Cristian and Dickinson, Sven J.

International Journal of Computer Vision, 2013

[82] Action from Still Image Dataset and Inverse Optimal Control to Learn Task Specific Visual Scanpaths
S. Mathe and C. Sminchisescu

Advances in Neural Information Processing Systems, 2013

[81] Pictorial Human Spaces. How Well do Humans Perceive a 3D Articulated Pose?
E. Marinoiu and D. Papava and C. Sminchisescu

International Conference on Computer Vision, 2013

[80] Locally Affine Sparse-to-Dense Matching for Motion and Occlusion Estimation
M. Leordeanu and A. Zanfir and C. Sminchisescu

International Conference on Computer Vision, 2013

[79] Video Object Segmentation by Salient Segment Chain Composition
D. Banica and A. Agape and A. Ion and C. Sminchisescu

International Conference on Computer Vision, IPGM Workshop, 2013

[78] The "Moving Pose": An Efficient 3D Kinematics Descriptor for Low-Latency Action Detection and Recognition
M. Zanfir and M. Leordeanu and C. Sminchisescu

International Conference on Computer Vision, 2013

[77] Composite Statistical Inference for Semantic Segmentation
F. Li and Joao Carreira and G. Lebanon and C. Sminchisescu

IEEE Conference on Computer Vision and Pattern Recognition, 2013

[76] Dynamic Eye Movement Datasets and Learned Saliency Models for Visual Action Recognition
S. Mathe and C. Sminchisescu

European Conference on Computer Vision, 2012

[75] Semantic Segmentation with Second-Order Pooling
J. Carreira and R. Caseiro and J. Batista and C. Sminchisescu

European Conference on Computer Vision, 2012

[74] Efficient Closed-Form Solution to Generalized Boundary Detection
M. Leordeanu and R. Sukthankar and C. Sminchisescu

European Conference on Computer Vision, 2012

[73] Fourier Kernel Learning
E. Bazavan and F. Li and C. Sminchisescu

European Conference on Computer Vision, 2012

[72] Actions in the eye: Dynamic gaze datasets and learnt saliency models for visual recognition
S. Mathe and C. Sminchisescu

Technical report, Institute of Mathematics of the Romanian Academy and University of Bonn, 2012

[71] Chebyshev Approximations to the Histogram χ2 Kernel
F. Li, G. Lebanon, and C. Sminchisescu

Technical report, 2012

[70] Efficient Hypergraph Clustering
M. Leordeanu and C. Sminchisescu

Artificial Intelligence and Statistics, 2012

[69] Chebyshev Approximations to the Histogram $\chi^2$ Kernel
F. Li and G. Lebanon and C. Sminchisescu

IEEE International Conference on Computer Vision and Pattern Recognition, 2012

[68] CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts
J. Carreira and C. Sminchisescu

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012

[67] Optimal Contour Closure
A. Levinshtein and C. Sminchisescu and S. Dickinson

International Journal of Computer Vision, 2012

[66] Latent Structured Models for Human Pose Estimation
C. Ionescu and F. Li and C. Sminchisescu

IEEE International Conference on Computer Vision, 2011

[65] Image Segmentation by Figure-Ground Composition into Maximal Cliques
A. Ion and J. Carreira and C. Sminchisescu

IEEE International Conference on Computer Vision, 2011

[64] Semi-supervised Learning and Optimization for Hypergraph Matching
M. Leordeanu and A. Zanfir and C. Sminchisescu

IEEE International Conference on Computer Vision, 2011

[63] Object Recognition by Sequential Figure-Ground Ranking
J. Carreira and F. Li and C. Sminchisescu

International Journal of Computer Vision, 2011

[62] Probabilistic Joint Image Segmentation and Labeling
A. Ion and J. Carreira and C. Sminchisescu

Advances in Neural Information Processing Systems, 2011

[61] Feature-based Human Pose Estimation
C. Sminchisescu, L. Bo, C. Ionescu, and A. Kanaujia

Guide to Visual Analysis of Humans: Looking at People, Springer, 2011

[60] Generalized Darting Monte-Carlo
C. Sminchisescu and M. Welling

Pattern Recognition, 2011

[59] Optimal Contour Closure by Superpixel Grouping
A. Levinshtein and C. Sminchisescu and S. Dickinson

European Conference on Computer Vision, 2010

[58] Random {F}ourier Approximations for Skewed Multiplicative Histogram Kernels
Fuxin Li and Catalin Ionescu and Cristian Sminchisescu

Lecture Notes for Computer Science (DAGM), 2010

[57] Spatiotemporal Closure
A. Levinshtein and C. Sminchisescu and S. Dickinson

Asian Conference on Computer Vision, 2010

[56] The Feature Selection Path in Kernel Methods
F. Li and C. Sminchisescu

Artificial Intelligence and Statistics, 2010

[55] Image Segmentation by Discounted Cumulative Ranking on Maximal Cliques
J. Carreira, A. Ion, and C. Sminchisescu

Technical Report 06-2010 (arXiv:1009.4823), Computer Vision and Machine Learning Group, Institute for Numerical Simulation, University of Bonn, 2010

[54] Constrained Parametric Min-Cuts for Automatic Object Segmentation
J. Carreira and C. Sminchisescu

IEEE International Conference on Computer Vision and Pattern Recognition, 2010

[53] Object Recognition as Ranking Holistic Figure-Ground Hypotheses
F. Li and J. Carreira and C. Sminchisescu

IEEE International Conference on Computer Vision and Pattern Recognition, 2010

[52] Convex Multiple Instance Learning by Estimating Likelihood Ratio
F. Li and C. Sminchisescu

Advances in Neural Information Processing Systems, 2010

[51] Object Recognition by Ranking Figure-Ground Hypotheses
Carreira, Joao and Li, Fuxin and Sminchisescu, Cristian

Snowbird Learning, 2010

[50] Convex Multiple-Instance Learning
Li, Fuxin and Sminchisescu, Cristian

Snowbird Learning, 2010

[49] Twin Gaussian Processes for Structured Prediction
L. Bo and C. Sminchisescu

International Journal of Computer Vision, 2010

[48] Selection and Context for Action Recognition
D. Han and L. Bo and C. Sminchisescu

IEEE International Conference on Computer Vision, 2009

[47] Structural SVM for Visual Localization and Continuous State Estimation
C. Ionescu and L. Bo and C. Sminchisescu

IEEE International Conference on Computer Vision, 2009

[46] Multiscale Symmetric Part Detection and Grouping
A. Levinshtein and S. Dickinson and C. Sminchisescu

IEEE International Conference on Computer Vision, 2009

[45] Efficient Match Kernel between Sets of Features for Visual Recognition
L. Bo and C. Sminchisescu

Advances in Neural Information Processing Systems, 2009

[44] Supervised Spectral Latent Variable Models
L. Bo and C. Sminchisescu

Artificial Intelligence and Statistics, 2009

[43] Hierarchical Latent Variable Models for Human Pose Inference
C. Ionescu and C. Sminchisescu

Snowbird Learning, 2009

[42] Kernel Learning by Unconstrained Optimization
F. Li and Y. Fu and Y. Hong-Dai and C. Sminchisescu and J. Wang

Artificial Intelligence and Statistics, 2009

[41] Structured Output-Associative Regression
L. Bo and C. Sminchisescu

IEEE International Conference on Computer Vision and Pattern Recognition, 2009

[40] Fast Algorithms for Large Scale Conditional 3D Prediction
L. Bo and C. Sminchisescu and A. Kanaujia and D. Metaxas

IEEE International Conference on Computer Vision and Pattern Recognition, 2008

[39] Greedy Block Coordinate Descent for Large Scale Gaussian ProcessRegression
L. Bo and C. Sminchisescu

Uncertainty in Artificial Intelligence, 2008

[38] Twin Gaussian Processes for Structured Prediction
L. Bo and C. Sminchisescu

Snowbird Learning, 2008

[37] Qualitative 3D Surface Reconstruction from Images
A. Levinshtein and C. Sminchisescu and S. Dickinson

Snowbird Learning, 2008

[36] Hierarchical Spectral Latent Variable Models
C. Sminchisescu and C. Ionescu

Snowbird Learning, 2008

[35] Spectral Latent Variable Models for Perceptual Inference
A. Kanaujia and C. Sminchisescu and D. Metaxas

IEEE International Conference on Computer Vision, 2007

[34] Support Kernel Machines for Object Recognition
A. Kumar and C. Sminchisescu

IEEE International Conference on Computer Vision, 2007

[33] 3D human Motion Reconstruction in Monocular Video. Techniques and Challenges
C. Sminchisescu

Human Motion Capture: Modeling, Analysis, Animation, volume 36, Springer, ISBN 978-1-4020-6692-4, 2007

[32] Semi-Supervised Hierarchical Models for 3D Human Pose Reconstruction
A. Kanaujia and C. Sminchisescu and D. Metaxas

IEEE International Conference on Computer Vision and Pattern Recognition, 2007

[31] People Tracking with the Laplacian Eigenmaps Latent Variable Model
Z. Lu and M. Carreira Perpinan and C. Sminchisescu

Advances in Neural Information Processing Systems, 2007

[30] Hierarchical Models for 3D Visual Inference
A. Kanujia and C. Sminchisescu and D. Metaxas

Snowbird Learning, 2007

[29] Learning and Inference Algorithms for Monocular Perception. Applications to Visual Object Detection, Localization and Time Series Models for 3D Human Motion Understanding
C. Sminchisescu

University of Bonn, Faculty of Mathematics and Natural Sciences, Habilitation Thesis, 2007

[28] $BM^3E$: Discriminative Density Propagation for Visual Tracking
C. Sminchisescu and A. Kanaujia and D. Metaxas

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007

[27] Generalized Darting Monte-Carlo
C. Sminchisescu and M. Welling

Artificial Intelligence and Statistics, volume 1, 2007

[26] Optimization Algorithms for Non-linear Time Series Models
C. Sminchisescu

Matrix Publishing Ltd., ISBN 978-973-755-211-2, 2007

[25] Bidirectional Model Learning for Visual Inference
C. Sminchisescu and A. Kanaujia and D. Metaxas

Snowbird Learning, 2006

[24] Canonical Skeletons for Shape Matching
M. van Eede and Diego Macrini and Alexandru Telea and Cristian Sminchisescu and Sven J. Dickinson

IEEE International Conference on Pattern Recognition, pages: 64-69, 2006

[23] Training Deformable Models for Localization
D. Ramanan and C. Sminchisescu

IEEE International Conference on Computer Vision and Pattern Recognition, 2006

[22] Conditional Models for Contextual Human Motion Recognition
C. Sminchisescu and A. Kanaujia and D. Metaxas

Computer Vision and Image Understanding, 2006

[21] Learning Joint Top-down and Bottom-up Processes for 3D Visual Inference
C. Sminchisescu and A. Kanaujia and D. Metaxas

IEEE International Conference on Computer Vision and Pattern Recognition, 2006

[20] Learning Hierarchical Shape Models from Examples
Alex Levinshtein and Cristian Sminchisescu and Sven J. Dickinson

Energy Minimization Methods in Computer Vision and Pattern Recognition, St. Augustine, FL, USA, November 9-11, 2005, Proceedings, pages: 251-267, 2005

[19] Discriminative Density Propagation for 3D Human Motion Estimation
C. Sminchisescu and A. Kanaujia and Z. Li and D. Metaxas

IEEE International Conference on Computer Vision and Pattern Recognition, volume 1, pages: 390--397, 2005

[18] Conditional Models for Contextual Human Motion Recognition
C. Sminchisescu and A. Kanaujia and Z. Li and D. Metaxas

IEEE International Conference on Computer Vision, volume 2, pages: 1808--1815, 2005

[17] Conditional Visual Tracking in Kernel Space
C. Sminchisescu and A. Kanaujia and Z. Li and D. Metaxas

Advances in Neural Information Processing Systems, 2005

[16] Incremental Model-Based Estimation using Geometric Consistency Constraints
C. Sminchisescu and D. Metaxas and S. Dickinson

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005

[15] Building Roadmaps of Minima and Transitions in Visual Models
C. Sminchisescu and B. Triggs

International Journal of Computer Vision, volume 61, 2005

[14] Variational Mixture Smoothing for Non-Linear Dynamical Systems
C. Sminchisescu and A. Jepson

IEEE International Conference on Computer Vision and Pattern Recognition, volume 2, pages: 608-615, Washington D.C., 2004

[13] Generative Modeling for Continuous Non-Linearly Embedded Visual Inference
C. Sminchisescu and A. Jepson

International Conference on Machine Learning, pages: 759-766, Banff, 2004

[12] Fast Mixing Hyperdynamic Sampling
C. Sminchisescu and B. Triggs

Journal of Image and Vision Computing, 2004

[11] Optimal Inference for Hierarchical Skeleton Abstraction
A. Telea and C. Sminchisescu and S. Dickinson

IEEE International Conference on Pattern Recognition, 2004

[10] Kinematic Jump Processes for Monocular 3D Human Tracking
C. Sminchisescu and B. Triggs

IEEE International Conference on Computer Vision and Pattern Recognition, volume 1, pages: 69-76, Madison, 2003

[9] Estimating Articulated Human Motion with Covariance Scaled Sampling
C. Sminchisescu and B. Triggs

International Journal of Robotics Research, volume 22, pages: 371-393, 2003

[8] Estimation Algorithms for Ambiguous Visual Models : Three Dimensional Human Modeling and Motion Reconstruction in Monocular Video Sequences
C. Sminchisescu

INPG, 2002

[7] Consistency and Coupling in Human Model Likelihoods
C. Sminchisescu

IEEE International Conference on Automatic Face and Gesture Recognition, pages: 27-32, Washington D.C., 2002

[6] Human Pose Estimation from Silhouettes. A Consistent Approach Using Distance Level Sets
C. Sminchisescu and A. Telea

WSCG International Conference for Computer Graphics, Visualization and Computer Vision, Czech Republic, 2002

[5] Building Roadmaps of Local Minima of Visual Models
C. Sminchisescu and B. Triggs

European Conference on Computer Vision, volume 1, pages: 566-582, Copenhagen, 2002

[4] Hyperdynamics Importance Sampling
C. Sminchisescu and B. Triggs

European Conference on Computer Vision, volume 1, pages: 769-783, Copenhagen, 2002

[3] Improving the Scope of Deformable Model Shape and Motion Estimation
C. Sminchisescu and D. Metaxas and S. Dickinson

IEEE International Conference on Computer Vision and Pattern Recognition, volume 1, pages: 485-492, Hawaii, 2001

[2] A Framework for Generic State Estimation in Computer Vision Applications
C. Sminchisescu and A. Telea

International Conference for Computer Vision, ICVS InternationalConference on Computer Vision Systems, pages: 21-34, Vancouver, 2001

[1] Covariance-Scaled Sampling for Monocular 3D Body Tracking
C. Sminchisescu and B. Triggs

IEEE International Conference on Computer Vision and Pattern Recognition, volume 1, pages: 447-454, Hawaii, 2001