53 citations · 74 across the 3 of their papers we have counts for
4 papers
Designing Deep Convolutional Neural Networks for Continuous Object Orientation Estimation
Kota Hara, Raviteja Vemulapalli, Rama Chellappa
Deep Convolutional Neural Networks (DCNN) have been proven to be effective for various computer vision problems. In this work, we demonstrate its effectiveness on a continuous obje…
Attentional Network for Visual Object Detection
Kota Hara, Ming-Yu Liu, Oncel Tuzel +1
We propose augmenting deep neural networks with an attention mechanism for the visual object detection task. As perceiving a scene, humans have the capability of multiple fixation…
Fashion Apparel Detection: The Role of Deep Convolutional Neural Network and Pose-dependent Priors
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 wea…
Growing Regression Forests by Classification: Applications to Object Pose Estimation
Kota Hara, Rama Chellappa
In this work, we propose a novel node splitting method for regression trees and incorporate it into the regression forest framework. Unlike traditional binary splitting, where the…