Modal Dynamics in Kilowatt Cladding-Pumped Random Distributed Feedback Raman …
Random distributed-feedback Raman fiber lasers (RRFLs) are promising contenders in the applications of remote sensing, biotechnology, imaging, thanks to the unique properties on low coherence and w…
Group-Wise Hub Identification by Learning Common Graph Embeddings on Grassman…
Human brain is a complex yet economically organized system, where a small portion of critical hub regions support the majority of brain functions. The identification of common hub nodes in a popula…
Fast and Robust Multi-Person 3D Pose Estimation and Tracking From Multiple Views
This paper addresses the problem of reconstructing 3D poses of multiple people from a few calibrated camera views. The main challenge of this problem is to find the cross-view correspondences among…
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-Based Perception
State-of-the-art methods for driving-scene LiDAR-based perception (including point cloud semantic segmentation, panoptic segmentation and 3D detection, etc .) often project the point clouds to 2D s…
Memristor Parallel Computing for a Matrix-Friendly Genetic Algorithm
Matrix operation is easy to be paralleled by hardware, and the memristor network can realize a parallel matrix computing model with in-memory computing. This article proposes a matrix-friendly gene…
Variable Population Memetic Search: A Case Study on the Critical Node Problem
Population-based memetic algorithms have been successfully applied to solve many difficult combinatorial problems. Often, a population of fixed size is used in such algorithms to record some best s…
An Efficient Recursive Differential Grouping for Large-Scale Continuous Problems
Cooperative co-evolution (CC) is an efficient and practical evolutionary framework for solving large-scale optimization problems. The performance of CC is affected by the variable decomposition. An…
Smart Charging of Electric Vehicles : An Innovative Business Model for Utilit…
Problem definition: By providing an environmentally friendly alternative to traditional vehicles, electric vehicles will transform urban mobility, particularly in smart cities. In practice, after a…
Learning Generalisable Omni-Scale Representations for Person Re-Identification
An effective person re-identification (re-ID) model should learn feature representations that are both discriminative, for distinguishing similar-looking people, and generalisable, for deployment a…
Understanding Pixel-Level 2D Image Semantics With 3D Keypoint Knowledge Engine
Pixel-level 2D object semantic understanding is an important topic in computer vision and could help machine deeply understand objects (e.g., functionality and affordance) in our daily life. Howeve…
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