Nanjun Li
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View article: Optimization of unloading groove shape parameters for gear pump based on neural network and genetic algorithm
Optimization of unloading groove shape parameters for gear pump based on neural network and genetic algorithm Open
To meet the diverse requirements for the unloading performance of gear pumps with different specifications under high-pressure and high-speed conditions, this paper proposes an intelligent optimization method for the unloading groove struc…
View article: All-optical nonlinear activation function based on a Mach-Zehnder modulator with magneto-optical material
All-optical nonlinear activation function based on a Mach-Zehnder modulator with magneto-optical material Open
Optical neural networks are considered a promising alternative for mitigating the computational bottlenecks and energy constraints of electronic neural networks. However, their widespread adoption is limited by the absence of efficient opt…
View article: An Identification Method of Corner Reflector Array Based on Mismatched Filter through Changing the Frequency Modulation Slope
An Identification Method of Corner Reflector Array Based on Mismatched Filter through Changing the Frequency Modulation Slope Open
The corner reflector is an effective means of interference for radar seekers due to its high jamming intensity, wide frequency band, and combat effectiveness ratio. Properly arranging multiple corner reflectors in an array can form dilutio…
View article: On-Policy Pixel-Level Grasping Across the Gap Between Simulation and Reality
On-Policy Pixel-Level Grasping Across the Gap Between Simulation and Reality Open
Grasp detection in cluttered scenes is a very challenging task for robots. Generating synthetic grasping data is a popular way to train and test grasp methods, as is Dex-net and GraspNet; yet, these methods generate training grasps on 3D s…
View article: Bilateral attention network for semantic segmentation
Bilateral attention network for semantic segmentation Open
Enhancing network feature representation capabilities and reducing the loss of image details have become the focus of semantic segmentation task. This work proposes the bilateral attention network for semantic segmentation. The authors emb…
View article: Vehicle counting and traffic flow parameter estimation for dense traffic scenes
Vehicle counting and traffic flow parameter estimation for dense traffic scenes Open
The vision‐based traffic flow parameter estimation is a challenging problem especially for dense traffic scenes, due to the difficulties of occlusion, small‐size and dense traffic etc. Yet, previous methods mainly use detection and trackin…
View article: Modified AlexNet for Dense Crowd Counting
Modified AlexNet for Dense Crowd Counting Open
This paper presents a modified AlexNet to estimate the number of people in still images. The sizes of people’s heads in images differ greatly due to some factors such as perspective effect and image resolution. Feature maps with differen…