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检索条件"机构=Key Laboratory of Imaging Processing and Intelligence Control"
1032 条 记 录,以下是401-410 订阅
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Statistical Boundary Extraction Base on Quantum Particle Motion
Statistical Boundary Extraction Base on Quantum Particle Mot...
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International Conference on Intelligent Computation and Bio-Medical Instrumentation (ICBMI)
作者: Yangguang Sun Mingyue Ding College of Computer Science South-Central University for Nationalities Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan China College of Life Science and Technology Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan China
A novel statistical method was proposed for boundary extraction of interested objects in this letter. The proposed method was inspired by the physical nature of quantum and the statistical property of wave function. B... 详细信息
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Reliability on Deep Learning Models: A Comprehensive Observation
Reliability on Deep Learning Models: A Comprehensive Observa...
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International Symposium on System and Software Reliability (ISSSR)
作者: Yuhong Zhang Chunjing Xiao School of Artificial Intelligence and Big Data Key Laboratory of Grain Information Processing and Control Ministry of Education Henan University of Technology Zhengzhou China Henan Key Laboratory of Big Data Analysis and Processing Henan University Kaifeng China
This paper provides a comprehensive observation to examine the reliability of deep learning (DL) models. First, we will briefly introduce the essential background and kernel techniques in deep learning, such as downsa... 详细信息
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Weakly Supervised Text-based Person Re-Identification
Weakly Supervised Text-based Person Re-Identification
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International Conference on Computer Vision (ICCV)
作者: Shizhen Zhao Changxin Gao Yuanjie Shao Wei-Shi Zheng Nong Sang Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Sun Yat-sen University
The conventional text-based person re-identification methods heavily rely on identity annotations. However, this labeling process is costly and time-consuming. In this paper, we consider a more practical setting calle... 详细信息
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Enhancing inundation monitoring of road networks using crowdsourced flood reports
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Urban Informatics 2024年 第1期3卷 1-21页
作者: Esparza, Miguel Farahmand, Hamed Liu, Xueming Mostafav, Ali Urban Resilience. AI Lab Zachry Department of Civil and Environmental Engineering Texas A&M University College Station USA MAPFRE Boston USA Key Laboratory of Imaging Processing and Intelligence Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan People’s Republic of China
As the risk of flooding continues to impose on transportation infrastructure systems, enhancing the ability to monitor flood inundations in road networks becomes more significant. This research explores the potential ...
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TMMM: Transformer in Multimodal Sentiment Analysis under Missing Modalities
TMMM: Transformer in Multimodal Sentiment Analysis under Mis...
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International Joint Conference on Neural Networks (IJCNN)
作者: Huanyu Wu Siyang Li Dongrui Wu Ministry of Education Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China
The cross-task gap presents a significant challenge for multimodal models because of the differences in input-output workflows. For instance, multimodal pre-trained transformers may encounter uni-modal data during tes... 详细信息
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A robust approach to the detection and tracking of small targets with low contrast
A robust approach to the detection and tracking of small tar...
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IEEE International Workshop on VLSI Design and Video Technology, IWVDVT
作者: Xinyu Wang Guilin Zhang Ying Chu State Key Laboratory for Image Processing and lntelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China
An effective approach to the detection and tracking of small moving targets with low contrast is proposed. In our application, small moving targets are detected and tracked in a low quality video sequence captured fro... 详细信息
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OadTR: Online Action Detection with Transformers
OadTR: Online Action Detection with Transformers
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International Conference on Computer Vision (ICCV)
作者: Xiang Wang Shiwei Zhang Zhiwu Qing Yuanjie Shao Zhengrong Zuo Changxin Gao Nong Sang Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology China Alibaba Group China
Most recent approaches for online action detection tend to apply Recurrent Neural Network (RNN) to capture long-range temporal structure. However, RNN suffers from non-parallelism and gradient vanishing, hence it is h... 详细信息
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A pushing-grasping collaborative method based on deep q-network algorithm in dual perspectives
arXiv
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arXiv 2021年
作者: Gang, Peng Jinhu, Liao Shangbin, Guan Key Laboratory of Image Processing and Intelligent Control Ministry of Education School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China
Aiming at the traditional grasping method for manipulators based on 2D camera, when faced with the scene of gathering or covering, it can hardly perform well in unstructured scenes that appear as gathering and coverin... 详细信息
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Multi-Task Active Learning for Simultaneous Emotion Classification and Regression
Multi-Task Active Learning for Simultaneous Emotion Classifi...
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IEEE International Conference on Systems, Man and Cybernetics
作者: Xue Jiang Lubin Meng Dongrui Wu Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China
Emotion recognition, which aims to identify an individual’s emotional state from the acquired physiological or body signals, is very important in affective computing. Emotions have two common representations: categor... 详细信息
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A Multi-scale Network for Semantic Segmentation of 3D Point Clouds
A Multi-scale Network for Semantic Segmentation of 3D Point ...
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Chinese Automation Congress (CAC)
作者: Ying He Li Xiao Yong Jiang Zhigang Sun Zhuo Wang Gang Peng Key Laboratory of Image Processing and Intelligent Control Ministry of Education School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China
Semantic segmentation is a fundamental operation in scene analysis. In this paper, an effective multiscale network for 3D point cloud semantic segmentation was introduced. By using a multiscale local feature extractio... 详细信息
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