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检索条件"机构=The Henan Key Laboratory of Brain Science and Brain Computer Interface Technology"
920 条 记 录,以下是431-440 订阅
排序:
DANI-Net: Uncalibrated Photometric Stereo by Differentiable Shadow Handling, Anisotropic Reflectance Modeling, and Neural Inverse Rendering
DANI-Net: Uncalibrated Photometric Stereo by Differentiable ...
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Conference on computer Vision and Pattern Recognition (CVPR)
作者: Zongrui Li Qian Zheng Boxin Shi Gang Pan Xudong Jiang School of Electrical and Electronic Engineering Nanyang Technological University Singapore The State Key Lab of Brain-Machine Intelligence Zhejiang University Hangzhou China College of Computer Science and Technology Zhejiang University Hangzhou China National Key Laboratory for Multimedia Information Processing School of Computer Science Peking University Beijing China National Engineering Research Center of Visual Technology School of Computer Science Peking University Beijing China
Uncalibrated photometric stereo (UPS) is challenging due to the inherent ambiguity brought by the unknown light. Although the ambiguity is alleviated on non-Lambertian objects, the problem is still difficult to solve ...
来源: 评论
Defending Adversarial Examples by Negative Correlation Ensemble
arXiv
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arXiv 2022年
作者: Luo, Wenjian Zhang, Hongwei Kong, Linghao Chen, Zhijian Tang, Ke The School of Computer Science and Technology Harbin Institute of Technology Guangdong Shenzhen518055 China Peng Cheng Laboratory Shenzhen518055 China Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation The School of Computer Science and Engineering Southern University of Science and Technology Guangdong Shenzhen518055 China
The security issues in DNNs, such as adversarial examples, have attracted much attention. Adversarial examples refer to the examples which are capable to induce the DNNs return completely predictions by introducing ca... 详细信息
来源: 评论
ESVAE: An Efficient Spiking Variational Autoencoder with Reparameterizable Poisson Spiking Sampling
arXiv
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arXiv 2023年
作者: Zhan, Qiugang Tao, Ran Xie, Xiurui Liu, Guisong Zhang, Malu Tang, Huajin Yang, Yang The Complex Laboratory of New Finance and Economics School of Computing and Artificial Intelligence Southwestern University of Finance and Economics Chengdu611130 China The Laboratory of Intelligent Collaborative Computing University of Electronic Science and Technology of China Chengdu611731 China The School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu611731 China The College of Computer Science The State Key Laboratory of Brain-Machine Intelligence Zhejiang University Hangzhou310027 China
In recent years, studies on image generation models of spiking neural networks (SNNs) have gained the attention of many researchers. Variational autoencoders (VAEs), as one of the most popular image generation models,... 详细信息
来源: 评论
DANI-Net: Uncalibrated Photometric Stereo by Differentiable Shadow Handling, Anisotropic Reflectance Modeling, and Neural Inverse Rendering
arXiv
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arXiv 2023年
作者: Li, Zongrui Zheng, Qian Shi, Boxin Pan, Gang Jiang, Xudong School of Electrical and Electronic Engineering Nanyang Technological University Singapore The State Key Lab of Brain-Machine Intelligence Zhejiang University Hangzhou China College of Computer Science and Technology Zhejiang University Hangzhou China National Key Laboratory for Multimedia Information Processing School of Computer Science Peking University Beijing China National Engineering Research Center of Visual Technology School of Computer Science Peking University Beijing China
Uncalibrated photometric stereo (UPS) is challenging due to the inherent ambiguity brought by the unknown light. Although the ambiguity is alleviated on non-Lambertian objects, the problem is still difficult to solve ... 详细信息
来源: 评论
PolSAM: Polarimetric Scattering Mechanism Informed Segment Anything Model
arXiv
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arXiv 2024年
作者: Wang, Yuqing Huang, Zhongling Yang, Shuxin Tang, Hao Qiu, Xiaolan Han, Junwei Zhang, Dingwen Brain and Artificial Intelligence Laboratory School of Automation Northwestern Polytechnical University Xi’an710072 China the National Key Laboratory for Multimedia Information Processing School of Computer Science Peking University Beijing100871 China the National Key Laboratory of Microwave Imaging Technology Chinese Academy of Sciences Beijing100090 China the Aerospace Information Research Institute Chinese Academy of Sciences Beijing100094 China
PolSAR data presents unique challenges due to its rich and complex characteristics. Existing data representations, such as complex-valued data, polarimetric features, and amplitude images, are widely used. However, th... 详细信息
来源: 评论
Evolutionary Multiparty Distance Minimization
arXiv
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arXiv 2022年
作者: She, Zeneng Luo, Wenjian Lin, Xin Chang, Yatong Shi, Yuhui School of Computer Science and Technology Harbin Institute of Technology Guangdong Shenzhen518055 China School of Computer Science and Technology The University of Science and Technology of China Anhui Hefei230027 China Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen518055 China
In the field of evolutionary multiobjective optimization, the decision maker (DM) concerns conflicting objectives. In the real-world applications, there usually exist more than one DM and each DM concerns parts of the... 详细信息
来源: 评论
DMNER: Biomedical Named Entity Recognition by Detection and Matching
arXiv
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arXiv 2023年
作者: Bian, Junyi Jiang, Rongze Zhai, Weiqi Huang, Tianyang Zhou, Hong Zhu, Shanfeng School of Computer Science Fudan University Shanghai200433 China Atypon Systems LLC United Kingdom Institute of Science and Technology for Brain-Inspired Intelligence Fudan University China Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence Fudan University Ministry of Education Shanghai200433 China MOE Frontiers Center for Brain Science Fudan University Shanghai200433 China Zhangjiang Fudan International Innovation Center Shanghai200433 China Shanghai Key Lab of Intelligent Information Processing Fudan University Shanghai200433 China
Biomedical named entity recognition (BNER) serves as the foundation for numerous biomedical text mining tasks. Unlike general NER, BNER require a comprehensive grasp of the domain, and incorporating external knowledge... 详细信息
来源: 评论
Extraction and analysis of abnormal EEG features in children with amblyopia
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Clinical Neurophysiology 2025年 175卷 2110765页
作者: Xiaoke Niu Jinxiong Zhang Yanyan Peng Ying Kong Yadong Li Yonghao Han Li Shi Guangying Zheng Henan Key Laboratory of Brain Science and Brain-Computer Interface Technology School of Electrical and Information Engineering Zhengzhou University Zhengzhou 450001 China Department of Ophthalmology the First Affiliated Hospital Zhengzhou University Zhengzhou 450052 China Department of Automation Tsinghua University Beijing 100084 China
Objective Early and accurate diagnosis of amblyopia is crucial for the healthy development of children. Existing clinical diagnostic methods rely on patient cooperation, which can easily lead to misdiagnosis. The comm... 详细信息
来源: 评论
DISD-Net: A Dynamic Interactive Network with Self-distillation for Cross-subject Multi-modal Emotion Recognition
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IEEE Transactions on Multimedia 2025年
作者: Cheng, Cheng Liu, Wenzhe Wang, Xinying Feng, Lin Jia, Ziyu Liaoning Normal University Research Center of Brain and Cognitive Neuroscience Dalian116029 China Anhui University Anhui Provincial Key Laboratory of Multimodal Cognitive Computation Hefei230601 China Key Laboratory of Biomedical Engineering of Hainan Province Haikou570228 China Huzhou University School of Information Engineering Huzhou313000 China Dalian University of Technology School of Computer Science and Technology Dalian116081 China Institute of Automation Chinese Academy of Sciences Brainnetome Center Beijing100190 China
Multi-modal Emotion Recognition (MER) has demonstrated competitive performance in affective computing, owing to synthesizing information from diverse modalities. However, many existing approaches still face unresolved... 详细信息
来源: 评论
SLC2-SLAM: Semantic-guided Loop Closure using Shared Latent Code for NeRF SLAM
arXiv
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arXiv 2025年
作者: Ming, Yuhang Ma, Di Dai, Weichen Yang, Han Fan, Rui Zhang, Guofeng Kong, Wanzeng School of Computer Science Key Laboratory of Brain Machine Collaborative Intelligence of Zhejiang Province Hangzhou Dianzi University Hangzhou310018 China College of Electronics & Information Engineering Shanghai Institute of Intelligent Science and Technology Shanghai Research Institute for Intelligent Autonomous Systems The State Key Laboratory of Intelligent Autonomous Systems Frontiers Science Center for Intelligent Autonomous Systems Tongji University Shanghai201804 China State Key Lab of CAD&CG Zhejiang University Hangzhou310058 China
Targeting the notorious cumulative drift errors in NeRF SLAM, we propose a Semantic-guided Loop Closure using Shared Latent Code, dubbed SLC2-SLAM. We argue that latent codes stored in many NeRF SLAM systems are not f... 详细信息
来源: 评论