IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Jan 1, 2022
Advanced shape analysis studies such as regression and classification need to be performed on curved manifolds, where often, there is a lack of standard statistical formulations. To overcome these limitations, we introduce a novel machine-learning me...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sep 1, 2018
Classification of plants based on a multi-organ approach is very challenging. Although additional data provide more information that might help to disambiguate between species, the variability in shape and appearance in plant organs also raises the d...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
May 1, 2018
As one of the most common human helminths, hookworm is a leading cause of maternal and child morbidity, which seriously threatens human health. Recently, wireless capsule endoscopy (WCE) has been applied to automatic hookworm detection. Unfortunately...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Apr 1, 2018
Human action recognition in 3D skeleton sequences has attracted a lot of research attention. Recently, long short-term memory (LSTM) networks have shown promising performance in this task due to their strengths in modeling the dependencies and dynami...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Feb 1, 2018
This paper explores multi-task learning (MTL) for face recognition. First, we propose a multi-task convolutional neural network (CNN) for face recognition, where identity classification is the main task and pose, illumination, and expression (PIE) es...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sep 1, 2017
Understanding and predicting the human visual attention mechanism is an active area of research in the fields of neuroscience and computer vision. In this paper, we propose DeepFix, a fully convolutional neural network, which models the bottom-up mec...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sep 1, 2017
Most of the previous studies on the user preferences assume that there is a personal transitive preference ranking of the consumable media like images. For example, the transitivity of preferences is one of the most important assumptions in the recom...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Jun 1, 2016
Recent deep learning models have demonstrated strong capabilities for classifying text and non-text components in natural images. They extract a high-level feature globally computed from a whole image component (patch), where the cluttered background...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
May 1, 2016
Discriminative appearance features are effective for recognizing actions in a fixed view, but may not generalize well to a new view. In this paper, we present two effective approaches to learn dictionaries for robust action recognition across views. ...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Mar 1, 2016
Visual tracking is challenging due to image variations caused by various factors, such as object deformation, scale change, illumination change, and occlusion. Given the superior tracking performance of human visual system (HVS), an ideal design of b...