no code implementations • 6 Feb 2017 • Kota Hara, Ming-Yu Liu, Oncel Tuzel, Amir-Massoud Farahmand
We propose augmenting deep neural networks with an attention mechanism for the visual object detection task.
no code implementations • 6 Feb 2017 • Kota Hara, Raviteja Vemulapalli, Rama Chellappa
The third method works by first converting the continuous orientation estimation task into a set of discrete orientation estimation tasks and then converting the discrete orientation outputs back to the continuous orientation using a mean-shift algorithm.
no code implementations • 19 Nov 2014 • Kota Hara, Vignesh Jagadeesh, Robinson Piramuthu
In this work, we propose and address a new computer vision task, which we call fashion item detection, where the aim is to detect various fashion items a person in the image is wearing or carrying.
no code implementations • 22 Dec 2013 • Kota Hara, Rama Chellappa
We apply the regression forest employing our node splitting to head pose estimation (Euclidean target space) and car direction estimation (circular target space) and demonstrate that the proposed method significantly outperforms state-of-the-art methods (38. 5% and 22. 5% error reduction respectively).
no code implementations • CVPR 2013 • Kota Hara, Rama Chellappa
We present a hierarchical method for human pose estimation from a single still image.