activity
20182022
most citedAccurate reconstruction of image stimuli from human fMRI based on the decoding model with capsule network architecture

18 citations · 28 across the 7 of their papers we have counts for

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Showing cs.CVShow all

9 papers · 1 filter

cs.CV20222 cited

Dynamic Stochastic Ensemble with Adversarial Robust Lottery Ticket Subnetworks

Qi Peng, Wenlin Liu, Ruoxi Qin +3

Adversarial attacks are considered the intrinsic vulnerability of CNNs. Defense strategies designed for attacks have been stuck in the adversarial attack-defense arms race, reflect…

cs.CV2020

Neural encoding and interpretation for high-level visual cortices based on fMRI using image caption features

Kai Qiao, Chi Zhang, Jian Chen +3

On basis of functional magnetic resonance imaging (fMRI), researchers are devoted to designing visual encoding models to predict the neuron activity of human in response to present…

cs.CV2020

BigGAN-based Bayesian reconstruction of natural images from human brain activity

Kai Qiao, Jian Chen, Linyuan Wang +3

In the visual decoding domain, visually reconstructing presented images given the corresponding human brain activity monitored by functional magnetic resonance imaging (fMRI) is di…

cs.CV2020

AdvJND: Generating Adversarial Examples with Just Noticeable Difference

Zifei Zhang, Kai Qiao, Lingyun Jiang +2

Compared with traditional machine learning models, deep neural networks perform better, especially in image classification tasks. However, they are vulnerable to adversarial exampl…

cs.CV2019

Cycle-Consistent Adversarial GAN: the integration of adversarial attack and defense

Lingyun Jiang, Kai Qiao, Ruoxi Qin +4

In image classification of deep learning, adversarial examples where inputs intended to add small magnitude perturbations may mislead deep neural networks (DNNs) to incorrect resul…

cs.CV2019

A visual encoding model based on deep neural networks and transfer learning

Chi Zhang, Kai Qiao, Linyuan Wang +4

Background: Building visual encoding models to accurately predict visual responses is a central challenge for current vision-based brain-machine interface techniques. To achieve hi…