Growing Regression Forests by Classification: Applications to Object Pose Estimation K Hara, R Chellappa The European Conference on Computer Vision (ECCV), 2014 | 97 | 2014 |
Designing deep convolutional neural networks for continuous object orientation estimation K Hara, R Vemulapalli, R Chellappa arXiv preprint arXiv:1702.01499, 2017 | 91 | 2017 |
Fashion apparel detection: The role of deep convolutional neural network and pose-dependent priors K Hara, V Jagadeesh, R Piramuthu IEEE Winter Conference on Applications of Computer Vision (WACV), 2016 | 70 | 2016 |
Joint-based item recognition K Hara, V Jagadeesh, R Piramuthu US Patent 11,120,478, 2021 | 59 | 2021 |
Attentional network for visual object detection K Hara, MY Liu, O Tuzel, A Farahmand arXiv preprint arXiv:1702.01478, 2017 | 41 | 2017 |
Computationally efficient regression on a dependency graph for human pose estimation K Hara, R Chellappa Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 38 | 2013 |
Growing regression tree forests by classification for continuous object pose estimation K Hara, R Chellappa International Journal of Computer Vision 122, 292-312, 2017 | 30 | 2017 |
Object detection system and object detection method MY Liu, O Tuzel, A massoud Farahmand, K Hara US Patent 10,210,418, 2019 | 22 | 2019 |
Human pose estimation using patch-based candidate generation and model-based verification K Hara, T Kurokawa 2011 IEEE International Conference on Automatic Face & Gesture Recognition …, 2011 | 8 | 2011 |
Real-time inference of 3d human poses by assembling local patches K Hara 2009 Workshop on Applications of Computer Vision (WACV), 1-8, 2009 | 7 | 2009 |
Joint-based item recognition K Hara, V Jagadeesh, R Piramuthu US Patent App. 17/473,280, 2021 | | 2021 |
Deep neural networks and regression models for object detection and pose estimation K Hara University of Maryland, College Park, 2016 | | 2016 |
REGRESSION-BASED OBJECT SHAPE ESTIMATION USING A SHAPE-MANIFOLD K Hara, T Kurokawa IEEE International Conference on Image Processing, 2011 | | 2011 |