| 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 | 5454 | 2013 |
| 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 | 788 | 2011 |
| Semantic segmentation with second-order pooling J Carreira, R Caseiro, J Batista, C Sminchisescu European conference on computer vision, 430-443, 2012 | 616 | 2012 |
| Conditional models for contextual human motion recognition C Sminchisescu, A Kanaujia, D Metaxas Computer Vision and Image Understanding 104 (2-3), 210-220, 2006 | 607 | 2006 |
| Constrained parametric min-cuts for automatic object segmentation J Carreira, C Sminchisescu 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 586 | 2010 |
| Ghum & ghuml: Generative 3d human shape and articulated pose models H Xu, EG Bazavan, A Zanfir, WT Freeman, R Sukthankar, C Sminchisescu 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2020 | 574 | 2020 |
| 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 | 570 | 2013 |
| Covariance scaled sampling for monocular 3d body tracking C Sminchisescu, B Triggs Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the …, 2001 | 429 | 2001 |
| Behave: Dataset and method for tracking human object interactions BL Bhatnagar, X Xie, IA Petrov, C Sminchisescu, C Theobalt, G Pons-Moll 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2022 | 412 | 2022 |
| Monocular 3D pose and shape estimation of multiple people in natural scenes: The importance of multiple scene constraints A Zanfir, E Marinoiu, C Sminchisescu 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2148-2157, 2018 | 401 | 2018 |
| Kinematic jump processes for monocular 3D human tracking C Sminchisescu, B Triggs 2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003 | 400 | 2003 |
| 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 | 395 | 2015 |
| Springer International Publishing: Cham V Ferrari, M Hebert, C Sminchisescu, Y Weiss Switzerland 11211, 3-19, 2018 | 392 | 2018 |
| Latent structured models for human pose estimation C Ionescu, F Li, C Sminchisescu 2011 International conference on computer vision, 2220-2227, 2011 | 386 | 2011 |
| Self-supervised learning with geometric constraints in monocular video: Connecting flow, depth, and camera Y Chen, C Schmid, C Sminchisescu 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 7062-7071, 2019 | 356 | 2019 |
| Deep learning of graph matching A Zanfir, C Sminchisescu 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2684-2693, 2018 | 341 | 2018 |
| Estimating articulated human motion with covariance scaled sampling C Sminchisescu, B Triggs The International Journal of Robotics Research 22 (6), 371-391, 2003 | 332 | 2003 |
| Twin gaussian processes for structured prediction L Bo, C Sminchisescu International Journal of Computer Vision 87 (1), 28-52, 2010 | 320 | 2010 |
| 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 | 319 | 2005 |
| Efficient match kernel between sets of features for visual recognition L Bo, C Sminchisescu Advances in neural information processing systems 22, 2009 | 315 | 2009 |
Mihai ZanfirNewtonVerified email at newton.ro
