IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sep 16, 2015
We present a dictionary learning approach to compensate for the transformation of faces due to the changes in view point, illumination, resolution, and so on. The key idea of our approach is to force domain-invariant sparse coding, i.e., designing a ...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sep 16, 2015
Horror content sharing on the Web is a growing phenomenon that can interfere with our daily life and affect the mental health of those involved. As an important form of expression, horror images have their own characteristics that can evoke extreme e...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Aug 11, 2015
Extracting informative image features and learning effective approximate hashing functions are two crucial steps in image retrieval. Conventional methods often study these two steps separately, e.g., learning hash functions from a predefined hand-cra...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Aug 7, 2015
Person re-identification aims to match people across non-overlapping camera views, which is an important but challenging task in video surveillance. In order to obtain a robust metric for matching, metric learning has been introduced recently. Most e...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Jun 1, 2015
Objective image quality assessment (IQA) plays an important role in the development of multimedia applications. Prediction of IQA metric should be consistent with human perception. The release of the newest IQA database (TID2013) challenges most of t...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Apr 29, 2015
Slow feature analysis (SFA) is a dimensionality reduction technique which has been linked to how visual brain cells work. In recent years, the SFA was adopted for computer vision tasks. In this paper, we propose an exact kernel SFA (KSFA) framework f...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Mar 25, 2015
Recognition of natural emotions from human faces is an interesting topic with a wide range of potential applications, such as human-computer interaction, automated tutoring systems, image and video retrieval, smart environments, and driver warning sy...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Nov 26, 2014
We propose a new 2D shape decomposition method based on the short-cut rule. The short-cut rule originates from cognition research, and states that the human visual system prefers to partition an object into parts using the shortest possible cuts. We ...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Jan 1, 2025
Recent studies have revealed that deep neural networks (DNNs) are susceptible to backdoor attacks, in which attackers insert a pre-defined backdoor into a DNN model by poisoning a few training samples. A small subset of neurons in DNN is responsible ...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Jan 1, 2023
Recently, deep convolution neural networks (CNNs) steered face super-resolution methods have achieved great progress in restoring degraded facial details by joint training with facial priors. However, these methods have some obvious limitations. On t...