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Cristian Sminchisescu
Cristian Sminchisescu
Professor, Lund University; Scientist at Google Research
Zweryfikowany adres z math.lth.se - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Human3. 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments
C Ionescu, D Papava, V Olaru, C Sminchisescu
IEEE transactions on pattern analysis and machine intelligence 36 (7), 1325-1339, 2013
27972013
CPMC: Automatic object segmentation using constrained parametric min-cuts
J Carreira, C Sminchisescu
IEEE transactions on pattern analysis and machine intelligence 34 (7), 1312-1328, 2011
7702011
Conditional models for contextual human motion recognition
C Sminchisescu, A Kanaujia, D Metaxas
Computer Vision and Image Understanding 104 (2-3), 210-220, 2006
6082006
Semantic segmentation with second-order pooling
J Carreira, R Caseiro, J Batista, C Sminchisescu
Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012
5932012
Constrained parametric min-cuts for automatic object segmentation
J Carreira, C Sminchisescu
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
5842010
The moving pose: An efficient 3d kinematics descriptor for low-latency action recognition and detection
M Zanfir, M Leordeanu, C Sminchisescu
Proceedings of the IEEE international conference on computer vision, 2752-2759, 2013
5372013
Covariance scaled sampling for monocular 3d body tracking
C Sminchisescu, B Triggs
Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the …, 2001
4302001
Kinematic jump processes for monocular 3D human tracking
C Sminchisescu, B Triggs
2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003
3992003
Estimating articulated human motion with covariance scaled sampling
C Sminchisescu, B Triggs
The International Journal of Robotics Research 22 (6), 371-391, 2003
3312003
Twin gaussian processes for structured prediction
L Bo, C Sminchisescu
International Journal of Computer Vision 87, 28-52, 2010
3212010
Efficient match kernel between sets of features for visual recognition
L Bo, C Sminchisescu
Advances in neural information processing systems 22, 2009
3182009
Discriminative density propagation for 3d human motion estimation
C Sminchisescu, A Kanaujia, Z Li, D Metaxas
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
3112005
Matrix backpropagation for deep networks with structured layers
C Ionescu, O Vantzos, C Sminchisescu
Proceedings of the IEEE international conference on computer vision, 2965-2973, 2015
2912015
Latent structured models for human pose estimation
C Ionescu, F Li, C Sminchisescu
2011 International Conference on Computer Vision, 2220-2227, 2011
2712011
Monocular 3d pose and shape estimation of multiple people in natural scenes-the importance of multiple scene constraints
A Zanfir, E Marinoiu, C Sminchisescu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
2612018
Ghum & ghuml: Generative 3d human shape and articulated pose models
H Xu, EG Bazavan, A Zanfir, WT Freeman, R Sukthankar, C Sminchisescu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
2382020
Deep learning of graph matching
A Zanfir, C Sminchisescu
Proceedings of the IEEE conference on computer vision and pattern …, 2018
2262018
Self-supervised learning with geometric constraints in monocular video: Connecting flow, depth, and camera
Y Chen, C Schmid, C Sminchisescu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
2212019
Semantic video segmentation by gated recurrent flow propagation
D Nilsson, C Sminchisescu
Proceedings of the IEEE conference on computer vision and pattern …, 2018
2092018
Actions in the eye: Dynamic gaze datasets and learnt saliency models for visual recognition
S Mathe, C Sminchisescu
IEEE transactions on pattern analysis and machine intelligence 37 (7), 1408-1424, 2014
2082014
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