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Found 14 papers, 3 papers with code
A Hole Filling Approach Based on Background Reconstruction for View Synthesis in 3D Video
However, in the synthesis process, the background occluded by the foreground objects might be exposed in the new view, resulting in some holes in the synthetized video.
A Novel Blaschke Unwinding Adaptive Fourier Decomposition based Signal Compression Algorithm with Application on ECG Signals
The proposed compression algorithm is applied to the electrocardiogram signal.
A Robust Real-Time Computing-based Environment Sensing System for Intelligent Vehicle
The system is a real-time multi-scheme integrated innovation system, which combines stereo matching algorithm with machine learning based obstacle detection approach and takes advantage of the distributed computing technology of a mobile platform with GPU and CPUs.
Conditional-UNet: A Condition-aware Deep Model for Coherent Human Activity Recognition From Wearables
On the other side, we consider such Co-HAR as a dense labelling problem that classify each sample on a time step with a label to provide high-fidelity and duration-varied support to applications.
Station-to-User Transfer Learning: Towards Explainable User Clustering Through Latent Trip Signatures Using Tidal-Regularized Non-Negative Matrix Factorization
Urban areas provide us with a treasure trove of available data capturing almost every aspect of a population's life.
TG-GAN: Continuous-time Temporal Graph Generation with Deep Generative Models
The recent deep generative models for static graphs that are now being actively developed have achieved significant success in areas such as molecule design.
Factorized Deep Generative Models for Trajectory Generation with Spatiotemporal-Validity Constraints
Inspired by the success of deep generative neural networks for images and texts, a fast-developing research topic is deep generative models for trajectory data which can learn expressively explanatory models for sophisticated latent patterns.
Disentangled Dynamic Graph Deep Generation
Extending existing deep generative models from static to dynamic graphs is a challenging task, which requires to handle the factorization of static and dynamic characteristics as well as mutual interactions among node and edge patterns.
A Granular Sieving Algorithm for Deterministic Global Optimization
With straightforward mathematical formulation applicable to both univariate and multivariate objective functions, the global minimum value and all the global minimizers are located through two decreasing sequences of compact sets in, respectively, the domain and range spaces.
Densely Semantic Enhancement for Domain Adaptive Region-free Detectors
Unsupervised domain adaptive object detection aims to adapt a well-trained detector from its original source domain with rich labeled data to a new target domain with unlabeled data.
DeciLS-PBO: an Effective Local Search Method for Pseudo-Boolean Optimization
Local search is an effective method for solving large-scale combinatorial optimization problems, and it has made remarkable progress in recent years through several subtle mechanisms.
A Real-Time Multi-Task Learning System for Joint Detection of Face, Facial Landmark and Head Pose
Extreme head postures pose a common challenge across a spectrum of facial analysis tasks, including face detection, facial landmark detection (FLD), and head pose estimation (HPE).
AKConv: Convolutional Kernel with Arbitrary Sampled Shapes and Arbitrary Number of Parameters
In response to the above questions, the Alterable Kernel Convolution (AKConv) is explored in this work, which gives the convolution kernel an arbitrary number of parameters and arbitrary sampled shapes to provide richer options for the trade-off between network overhead and performance.
Voice Query Auto Completion
Query auto completion (QAC) is the task of predicting a search engine user’s final query from their intermediate, incomplete query.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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