IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Apr 8, 2021
Deep unfolding methods design deep neural networks as learned variations of optimization algorithms through the unrolling of their iterations. These networks have been shown to achieve faster convergence and higher accuracy than the original optimiza...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Mar 26, 2021
Pedestrian detection relying on deep convolution neural networks has made significant progress. Though promising results have been achieved on standard pedestrians, the performance on heavily occluded pedestrians remains far from satisfactory. The ma...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Mar 25, 2021
We propose to learn a cascade of globally-optimized modular boosted ferns (GoMBF) to solve multi-modal facial motion regression for real-time 3D facial tracking from a monocular RGB camera. GoMBF is a deep composition of multiple regression models wi...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Mar 17, 2021
This article presents a novel keypoints-based attention mechanism for visual recognition in still images. Deep Convolutional Neural Networks (CNNs) for recognizing images with distinctive classes have shown great success, but their performance in dis...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Mar 17, 2021
Blind image quality assessment (BIQA) is a useful but challenging task. It is a promising idea to design BIQA methods by mimicking the working mechanism of human visual system (HVS). The internal generative mechanism (IGM) indicates that the HVS acti...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Mar 9, 2021
Performance of blind image quality assessment (BIQA) models has been significantly boosted by end-to-end optimization of feature engineering and quality regression. Nevertheless, due to the distributional shift between images simulated in the laborat...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Mar 9, 2021
Existing part-aware person re-identification methods typically employ two separate steps: namely, body part detection and part-level feature extraction. However, part detection introduces an additional computational cost and is inherently challenging...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Mar 2, 2021
Accurate predictions of future pedestrian trajectory could prevent a considerable number of traffic injuries and improve pedestrian safety. It involves multiple sources of information and real-time interactions, e.g., vehicle speed and ego-motion, pe...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Feb 25, 2021
Head pose estimation (HPE) represents a topic central to many relevant research fields and characterized by a wide application range. In particular, HPE performed using a singular RGB frame is particular suitable to be applied at best-frame-selection...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Feb 25, 2021
Multimodal retinal imaging plays an important role in ophthalmology. We propose a content-adaptive multimodal retinal image registration method in this paper that focuses on the globally coarse alignment and includes three weakly supervised neural ne...