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IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Jan 1, 2021
The lack of automatic tools to identify giant panda makes it hard to keep track of and manage giant pandas in wildlife conservation missions. In this paper, we introduce a new Giant Panda Identification (GPID) task, which aims to identify each indivi...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Jan 1, 2021
Person re-identification is a crucial task of identifying pedestrians of interest across multiple surveillance camera views. For person re-identification, a pedestrian is usually represented with features extracted from a rectangular image region tha...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Jan 1, 2021
Person re-identification (ReID) task aims to retrieve the same person across multiple spatially disjoint camera views. Due to huge image changes caused by various factors such as posture variation and illumination transformation, images of different ...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Jan 1, 2021
With the assistance of sophisticated training methods applied to single labeled datasets, the performance of fully-supervised person re-identification (Person Re-ID) has been improved significantly in recent years. However, these models trained on a ...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Jan 1, 2021
As an important and challenging problem, gait recognition has gained considerable attention. It suffers from confounding conditions, that is, it is sensitive to camera views, dressing types and so on. Interestingly, it is observed that, under differe...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Jan 1, 2021
Person search targets to search the probe person from the unconstrainted scene images, which can be treated as the combination of person detection and person matching. However, the existing methods based on the Detection-Matching framework ignore the...
Scientific reports
Dec 3, 2020
This paper reports on the use of machine learning to delineate data harnessed by fiber-optic distributed acoustic sensors (DAS) using fiber with enhanced Rayleigh backscattering to recognize vibration events induced by human locomotion. The DAS used ...
Neural networks : the official journal of the International Neural Network Society
Dec 1, 2020
Human perception of an object's skeletal structure is particularly robust to diverse perturbations of shape. This skeleton representation possesses substantial advantages for parts-based and invariant shape encoding, which is essential for object rec...
IEEE transactions on cybernetics
Dec 1, 2020
Stacking-based deep neural network (S-DNN) is aggregated with pluralities of basic learning modules, one after another, to synthesize a deep neural network (DNN) alternative for pattern classification. Contrary to the DNNs trained from end to end by ...
Sensors (Basel, Switzerland)
Nov 27, 2020
Automatic speaker verification provides a flexible and effective way for biometric authentication. Previous deep learning-based methods have demonstrated promising results, whereas a few problems still require better solutions. In prior works examini...