73 citations · 155 across the 6 of their papers we have counts for
6 papers
RVD: A Handheld Device-Based Fundus Video Dataset for Retinal Vessel Segmentation
MD Wahiduzzaman Khan, Hongwei Sheng, Hu Zhang +11
Retinal vessel segmentation is generally grounded in image-based datasets collected with bench-top devices. The static images naturally lose the dynamic characteristics of retina f…
Accurate and Efficient Event-based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network
Rui Zhang, Luziwei Leng, Kaiwei Che +5
Spiking neural networks (SNNs), known for their low-power, event-driven computation and intrinsic temporal dynamics, are emerging as promising solutions for processing dynamic, asy…
EPSANet: An Efficient Pyramid Squeeze Attention Block on Convolutional Neural Network
Hu Zhang, Keke Zu, Jian Lu +2
Recently, it has been demonstrated that the performance of a deep convolutional neural network can be effectively improved by embedding an attention module into it. In this work, a…
Evolutionary Reinforcement Learning via Cooperative Coevolutionary Negatively Correlated Search
Hu Zhang, Peng Yang, Yanglong Yu +2
Evolutionary algorithms (EAs) have been successfully applied to optimize the policies for Reinforcement Learning (RL) tasks due to their exploration ability. The recently proposed…
Motion-Excited Sampler: Video Adversarial Attack with Sparked Prior
Hu Zhang, Linchao Zhu, Yi Zhu +1
Deep neural networks are known to be susceptible to adversarial noise, which are tiny and imperceptible perturbations. Most of previous work on adversarial attack mainly focus on i…
Query-efficient Meta Attack to Deep Neural Networks
Jiawei Du, Hu Zhang, Joey Tianyi Zhou +2
Black-box attack methods aim to infer suitable attack patterns to targeted DNN models by only using output feedback of the models and the corresponding input queries. However, due…