arXiv
Kota Hara, Raviteja Vemulapalli and Rama Chellappa, Designing Deep Convolutional Neural Networks for Continuous Object Orientation Estimation [pdf] [code]
Kota Hara, Ming-Yu Liu, Oncel Tuzel, Amir-massoud Farahmand, Attentional Network for Visual Object Detection [pdf]
Journals
Kota Hara and Rama Chellappa, Growing Regression Tree Forests by Classification for Continuous Object Pose Estimation, International Journal of Computer Vision (IJCV), 2016 [pdf] [code and annotations for TUD dataset]
Conferences
Kota Hara, Vignesh Jagadeesh and Robinson Piramuthu, Fashion Apparel Detection: the Role of Deep Convolutional Neural Network and Pose-dependent Priors, IEEE Winter Conference on Applications of Computer Vision (WACV) 2016 [pdf] [annotation file] [poster]
Kota Hara and Rama Chellappa, Growing Regression Forests by Classification: Applications to Object Pose Estimation. The European Conference on Computer Vision (ECCV), 2014. (acceptance rate 26.7%) [pdf] [Download the code] [poster]
Kota Hara and Rama Chellappa, Computationally Efficient Regression on a Dependency Graph for Human Pose Estimation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013. (acceptance rate 25.2%) [pdf] [poster] [MATLAB code for testing] [MATLAB code for boosted binary regression trees described in the paper] [A fixed PCP evaluation tool]
Kota Hara and Takaharu Kurokawa, Regression-based Object Shape Estimation Using a Shape-manifold. IEEE International Conference on Image Processing (ICIP), 2011. (acceptance rate 40%) [pdf]
Kota Hara and Takaharu Kurokawa, Human Pose Estimation Using Patch-based Candidate Generation and Model-based Verification. IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2011. (oral presentation, acceptance rate 12%) [pdf]
