Point Cloud Instance Segmentation With Semi-Supervised Bounding-Box Mining
Point cloud instance segmentation has achieved huge progress with the emergence of deep learning. However, these methods are usually data-hungry with expensive and time-consuming dense point cloud …
Phase Off-Axis Modulation Metasurface for Orbital Angular Momentum Mode Multi…
Orbital angular momentum (OAM) mode multiplexing provides a promising solution for enlarging communication capacity density. Although various OAM mode multiplexing technologies have been investigat…
Cascaded Feedforward Neural Network Based Simultaneously Fast and Precise Mul…
We present and investigate a scheme to realize fast and precise multi-characteristics extraction and error estimation of Brillouin frequency shift (BFS) simultaneously based on a cascaded feedforwa…
Photonic-Assisted Modulation Format Identification for RF Signals under Low S…
A photonic-assisted approach is proposed for modulation format identification (MFI) on radio frequency (RF) signals under low sampling rate. In this approach, a photonic-assisted interferometer (PA…
Robust and Accurate 3D Self-Portraits in Seconds
In this paper, we propose an efficient method for robust and accurate 3D self-portraits using a single RGBD camera. Our method can generate detailed and realistic 3D self-portraits in seconds and s…
A Coevolutionary Framework for Constrained Multiobjective Optimization Problems
Constrained multiobjective optimization problems (CMOPs) are challenging because of the difficulty in handling both multiple objectives and constraints. While some evolutionary algorithms have demo…
Robust Inference for Nonstationary Time Series with Possibly Multiple Changin…
Motivated by two examples concerning global warming and monthly total import and export by China, we study time series that contain a nonparametric periodic component with an unknown period, a nonp…
All-Optical Cross-Connection of Cylindrical Vector Beam Multiplexing Channels
The achievement of cylindrical vector beam (CVB) multiplexing has shown advantages in enlarging communication capacities and all-optical interconnections. While various mode transformation technolo…
PaMIR : Parametric Model-Conditioned Implicit Representation for Image-Based …
Modeling 3D humans accurately and robustly from a single image is very challenging, and the key for such an ill-posed problem is the 3D representation of the human models. To overcome the limitatio…
Deep Learning for Person Re-Identification : A Survey and Outlook
Cameras, Computer Vision, Deep Learning Artificial Intelligence, Feature Extraction, Image Representation, Video Surveillance, Person Re Identification, Nonoverlapping Cameras, Deep Neural Networks…
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