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Adversarial Attacks on Scene Graph Generation 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2024, 卷号: 19, 页码: 3210-3225
作者:  Zhao, Mengnan;  Zhang, Lihe;  Wang, Wei;  Kong, Yuqiu;  Yin, Baocai
收藏  |  浏览/下载：5/0  |  提交时间：2024/07/03
Task analysis  Object detection  Windows  Visualization  Mirrors  Predictive models  Perturbation methods  Scene graph generation  adversarial attack  bounding box relabeling  two-step weighted attack  
Continual Learning for Anthropomorphic Hand Grasping 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2024, 卷号: 16, 期号: 2, 页码: 559-569
作者:  Li, Wanyi;  Wei, Wei;  Wang, Peng
收藏  |  浏览/下载：6/0  |  提交时间：2024/07/03
Anthropomorphic hands  continual learning (CL)  grasping  
Text2Reaction : Enabling Reactive Task Planning Using Large Language Models 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 卷号: 9, 期号: 5, 页码: 4003-4010
作者:  Yang, Zejun;  Ning, Li;  Wang, Haitao;  Jiang, Tianyu;  Zhang, Shaolin;  Cui, Shaowei;  Jiang, Hao;  Li, Chunpeng;  Wang, Shuo;  Wang, Zhaoqi
收藏  |  浏览/下载：10/0  |  提交时间：2024/07/03
Planning under uncertainty  AI-based methods  learning from demonstration  
Attention-Based Multiscale Feature Fusion for Efficient Surface Defect Detection 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 卷号: 73, 页码: 10
作者:  Zhao, Yuhao;  Liu, Qing;  Su, Hu;  Zhang, Jiabin;  Ma, Hongxuan;  Zou, Wei;  Liu, Song
收藏  |  浏览/下载：4/0  |  提交时间：2024/07/03
Attention mechanism  feature enhancement  feature fusion  object detection  surface defect detection  
Online Adaptive Dynamic Programming for Optimal Self-Learning Control of VTOL Aircraft Systems With Disturbances 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2024, 卷号: 21, 期号: 1, 页码: 343-352
作者:  Wei, Qinglai;  Yang, Zesheng;  Su, Huaizhong;  Wang, Lijian
收藏  |  浏览/下载：4/0  |  提交时间：2024/07/03
Adaptive dynamic programming (ADP)  VTOL aircraft system  policy iteration  neural network (NN)  optimal control  iterative errors  
Synergetic Learning Neuro-Control for Unknown Affine Nonlinear Systems With Asymptotic Stability Guarantees 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 页码: 11
作者:  Zhu, Liao;  Wei, Qinglai;  Guo, Ping
收藏  |  浏览/下载：5/0  |  提交时间：2024/07/03
Approximate dynamic programming (ADP)  neural network  off-policy  optimal control  reinforcement learning (RL)  
Improving Generalization of Deepfake Detectors by Imposing Gradient Regularization 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2024, 卷号: 19, 期号: 2024, 页码: 5345-5356
作者:  Weinan Guan;  Wei Wang;  Jing Dong;  Bo Peng
Adobe PDF(1989Kb)  |  收藏  |  浏览/下载：41/14  |  提交时间：2024/06/21
Deepfake detection  forgery texture patterns  
Toward a Fast and Robust MI-BCI: Online Adaptation of Stimulus Paradigm and Classification Model 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 卷号: 73, 页码: 12
作者:  Wang, Jiaxing;  Wang, Weiqun;  Su, Jianqiang;  Wang, Yihan;  Hou, Zeng-Guang
Adobe PDF(1810Kb)  |  收藏  |  浏览/下载：70/10  |  提交时间：2024/05/30
Brain-computer interface (BCI)  classification model adaption  information transfer rate (ITR)  motor imagery (MI) duration  stimulus paradigm adjustment  
Learning and Controlling Multiscale Dynamics in Spiking Neural Networks Using Recursive Least Square Modifications 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2024, 页码: 14
作者:  Wei, Qinglai;  Han, Liyuan;  Zhang, Tielin
Adobe PDF(8060Kb)  |  收藏  |  浏览/下载：90/20  |  提交时间：2024/03/27
Direct dynamic programming (DDP)  Lorenz system  multiscale dynamics  point-to-point control  recursive least square (RLS)  spiking neural network (SNN)  
IterDepth: Iterative Residual Refinement for Outdoor Self-Supervised Multi-Frame Monocular Depth Estimation 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 1, 页码: 329-341
作者:  Feng, Cheng;  Chen, Zhen;  Zhang, Congxuan;  Hu, Weiming;  Li, Bing;  Lu, Feng
收藏  |  浏览/下载：60/0  |  提交时间：2024/03/26
Estimation  Iterative methods  Cameras  Task analysis  Feature extraction  Decoding  Training  Monocular depth estimation  iterative refinement  self-supervised learning  deep learning