28 citations · 62 across the 10 of their papers we have counts for
11 papers
HierLight-YOLO: A Hierarchical and Lightweight Object Detection Network for UAV Photography
Defan Chen, Yaohua Hu, Luchan Zhang
The real-time detection of small objects in complex scenes, such as the unmanned aerial vehicle (UAV) photography captured by drones, has dual challenges of detecting small targets…
A Convergent ADMM Algorithm for Grain Boundary Energy Minimization
Yue Wu, Luchan Zhang, Yang Xiang
In this paper, we study a constrained minimization problem that arise from materials science to determine the dislocation (line defect) structure of grain boundaries. The problems…
SL-YOLO: A Stronger and Lighter Drone Target Detection Model
Defan Chen, Luchan Zhang
Detecting small objects in complex scenes, such as those captured by drones, is a daunting challenge due to the difficulty in capturing the complex features of small targets. While…
ElasticLaneNet: An Efficient Geometry-Flexible Approach for Lane Detection
Yaxin Feng, Yuan Lan, Luchan Zhang +1
The task of lane detection involves identifying the boundaries of driving areas in real-time. Recognizing lanes with variable and complex geometric structures remains a challenge.…
Elastic Interaction Energy-Informed Real-Time Traffic Scene Perception
Yaxin Feng, Yuan Lan, Luchan Zhang +2
Urban segmentation and lane detection are two important tasks for traffic scene perception. Accuracy and fast inference speed of visual perception are crucial for autonomous drivin…
Energy stable neural network for gradient flow equations
Yue Wu, Tianyu Jin, Chuqi Chen +4
We propose an energy stable network (EStable-Net) for solving gradient flow equations. The EStable-Net enables decreasing of a discrete energy along the neural network, which is co…
Large Transformers are Better EEG Learners
Bingxin Wang, Xiaowen Fu, Yuan Lan +3
Pre-trained large transformer models have achieved remarkable performance in the fields of natural language processing and computer vision. However, the limited availability of pub…
Feature Flow Regularization: Improving Structured Sparsity in Deep Neural Networks
Yue Wu, Yuan Lan, Luchan Zhang +1
Pruning is a model compression method that removes redundant parameters in deep neural networks (DNNs) while maintaining accuracy. Most available filter pruning methods require com…
An Elastic Interaction-Based Loss Function for Medical Image Segmentation
Yuan Lan, Yang Xiang, Luchan Zhang
Deep learning techniques have shown their success in medical image segmentation since they are easy to manipulate and robust to various types of datasets. The commonly used loss fu…
Motion of grain boundaries incorporating dislocation structure
Luchan Zhang, Yang Xiang
In this paper, we present a continuum model for the dynamics of low angle grain boundaries in two dimensions based on the motion of constituent dislocations of the grain boundaries…
Energy of low angle grain boundaries based on continuum dislocation structure
Luchan Zhang, Yejun Gu, Yang Xiang
In this paper, we present a continuum model to compute the energy of low angle grain boundaries for any given degrees of freedom (arbitrary rotation axis, rotation angle and bounda…