Social Multimedia Signals
A Signal Processing Approach to Social Network Phenomena
Chapter and Conference Paper
With the increasing application of space vector pulse width modulation (SVPWM) strategy in multilevel converters, the sampling frequency selection of SVPWM algorithm becomes a new problem. This paper proposes ...
Chapter and Conference Paper
While monocular 3D pose estimation seems to have achieved very accurate results on the public datasets, their generalization ability is largely overlooked. In this work, we perform a systematic evaluation of t...
Chapter and Conference Paper
Multi-object tracking in videos requires to solve a fundamental problem of one-to-one assignment between objects in adjacent frames. Most methods address the problem by first discarding impossible pairs whose ...
Article
Multi-object tracking (MOT) is an important problem in computer vision which has a wide range of applications. Formulating MOT as multi-task learning of object detection and re-ID in a single network is appeal...
Article
Occlusion is probably the biggest challenge for human pose estimation in the wild. Typical solutions often rely on intrusive sensors such as IMUs to detect occluded joints. To make the task truly unconstrained...
Reference Work Entry In depth
Living Reference Work Entry In depth
Chapter and Conference Paper
We present VoxelPose to estimate 3D poses of multiple people from multiple camera views. In contrast to the previous efforts which require to establish cross-view correspondence based on noisy and incomplete 2D p...
Chapter and Conference Paper
Supervised person re-identification (ReID) often has poor scalability and usability in real-world deployments due to domain gaps and the lack of annotations for the target domain data. Unsupervised person ReID...
Chapter and Conference Paper
Siamese network based trackers have become a mainstream in visual object tracking. Recently, several high-performance multi-stage trackers have been proposed and some of them adopt SiamRPN for the first-stage ...
Chapter and Conference Paper
Recently, Siamese network based trackers have received tremendous interest for their fast tracking speed and high performance. Despite the great success, this tracking framework still suffers from several limi...
Chapter and Conference Paper
The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty trackers are presented; many are state-of-the-art trackers...
Chapter and Conference Paper
Archetypal analysis is an unsupervised learning approach which represents data by convex combinations of a set of archetypes. The archetypes generally correspond to the extremal points in the dataset and are l...
Chapter and Conference Paper
Recurrent neural networks (RNNs) are capable of modeling the temporal dynamics of complex sequential information. However, the structures of existing RNN neurons mainly focus on controlling the contributions o...
Article
We recently demonstrated that retinoic acid receptor-γ (RARγ) is overexpressed and acts as a tumor promoter in hepatocellular carcinoma (HCC). The oncogenic activity of RARγ is mainly attributed to its physiol...
Article
To achieve economical compensation for the huge-capacity negative sequence currents generated by high-speed railway load, an electromagnetic hybrid compensation system (EHCS) and control strategy is proposed. ...
Chapter and Conference Paper
Human action recognition from well-segmented 3D skeleton data has been intensively studied and has been attracting an increasing attention. Online action detection goes one step further and is more challenging...
Book
Chapter
The digital revolution has changed every aspect of our daily life. Powered by smaller devices and faster computer networks, humanity is living in the age of digital transposition—where many traditionally physi...
Chapter
In this chapter, we first discuss the definition of signal and its relationship to information and knowledge. We then present a number of operations that have been developed to process signals for various appl...