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检索条件"机构=Key Laboratory of Machine Intelligence and Advanced Computing"
1545 条 记 录,以下是1-10 订阅
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Weakly supervised action anticipation without object annotations
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Frontiers of Computer Science 2023年 第2期17卷 101-110页
作者: Yi ZHONG Jia-Hui PAN Haoxin LI Wei-Shi ZHENG School of Computer Science and Engineering Sun Yat-sen UniversityGuangzhou 510006China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of EducationGuangzhou 510006China
Anticipating future actions without observing any partial videos of future actions plays an important role in action prediction and is also a challenging *** obtain abundant information for action anticipation,some me... 详细信息
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Binary Image Steganalysis Based on Symmetrical Local Residual Patterns
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Chinese Journal of Electronics 2022年 第4期31卷 752-763页
作者: LUO Junwei YU Mujian YIN Xiaolin LU Wei School of Computer Science and Engineering Guangdong Province Key Laboratory of Information Security TechnologyMinistry of Education Key Laboratory of Machine Intelligence and Advanced Computing Sun Yat-sen University
Residual computation is an effective method for gray-scale image steganalysis. For binary images, the residual computation calculated by the XOR operation is also employed in the local residual patterns(LRP) model for... 详细信息
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Characterization of Exact One-Query Quantum Algorithms for Partial Boolean Functions
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Journal of Computer Science & Technology 2023年 第6期38卷 1423-1430页
作者: 叶泽坤 李绿周 Institute of Quantum Computing and Computer Theory School of Computer Science and EngineeringSun Yat-sen UniversityGuangzhou 510006China Ministry of Education Key Laboratory of Machine Intelligence and Advanced Computing Sun Yat-sen UniversityGuangzhou 510006China
The query model(or black-box model)has attracted much attention from the communities of both classical and quantum ***,quantum advantages are revealed by presenting a quantum algorithm that has a better query complexi... 详细信息
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SpikingMiniLM: energy-efficient spiking transformer for natural language understanding
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Science China(Information Sciences) 2024年 第10期67卷 115-128页
作者: Jiayu ZHANG Jiangrong SHEN Zeke WANG Qinghai GUO Rui YAN Gang PAN Huajin TANG College of Computer Science and Technology Zhejiang University The State Key Lab of Brain-Machine Intelligence Zhejiang University Collaborative Innovation Center of Artificial Intelligence Zhejiang University Advanced Computing and Storage Laboratory Huawei Technologies Co. Ltd. College of Computer Science and Technology Zhejiang University of Technology MOE Frontier Science Center for Brain Science and Brain-Machine Integration Zhejiang University
In the era of large-scale pretrained models, artificial neural networks(ANNs) have excelled in natural language understanding(NLU) tasks. However, their success often necessitates substantial computational resourc... 详细信息
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Real-to-Sim Grasp: Rethinking the Gap between Simulation and Real World in Grasp Detection  8
Real-to-Sim Grasp: Rethinking the Gap between Simulation and...
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8th Conference on Robot Learning, CoRL 2024
作者: Cai, Jia-Feng Chen, Zibo Wu, Xiao-Ming Jiang, Jian-Jian Wei, Yi-Lin Zheng, Wei-Shi School of Computer Science and Engineering Sun Yat-sen University China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education China
For 6-DoF grasp detection, simulated data is expandable to train more powerful model, but it faces the challenge of the large gap between simulation and real world. Previous works bridge this gap with a sim-to-real wa... 详细信息
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Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data  38
Revealing Distribution Discrepancy by Sampling Transfer in U...
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38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Zhao, Zhilin Cao, Longbing Fan, Xuhui Zheng, Wei-Shi School of Computing Macquarie University Australia School of Computer Science and Engineering Sun Yat-sen University China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education China
There are increasing cases where the class labels of test samples are unavailable, creating a significant need and challenge in measuring the discrepancy between training and test distributions. This distribution disc...
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EB-SNN: An Ensemble Binary Spiking Neural Network for Visual Recognition  27th
EB-SNN: An Ensemble Binary Spiking Neural Network for Visua...
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Li, Xinjie Tang, Jianxiong Lai, Jianhuang School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Guangzhou510555 China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Guangzhou China
In recent years, spiking neural networks (SNNs) have gained significant attention in visual recognition tasks due to the low computational energy. However, most SNNs have a large number of parameters, which limits the... 详细信息
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Breaking Information Silos: Global Guided Task Prediction for Class-Incremental Learning  27th
Breaking Information Silos: Global Guided Task Prediction fo...
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Hu, Chaoshun Ye, Biaohua Chen, Zixuan Lai, Jian-Huang School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Guangzhou510555 China Ministry of Education Key Laboratory of Machine Intelligence and Advanced Computing Guangzhou China
Class-incremental learning (CIL) aims to learn a series of tasks sequentially, each introducing several new categories. Because providing the task labels during inference can significantly increase accuracy, many appr... 详细信息
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TexCIL: Text-Guided Continual Learning of Disease with Vision-Language Model
TexCIL: Text-Guided Continual Learning of Disease with Visio...
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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024
作者: Zhang, Wentao Zhao, Defeng Zheng, Wei-Shi Wang, Ruixuan Sun Yat-sen University School of Computer Science and Engineering Guangzhou China Peng Cheng Laboratory Shenzhen China Moe Key Laboratory of Machine Intelligence and Advanced Computing Guangzhou China
Current intelligent diagnostic systems often catastrophically forget old knowledge when learning new diseases only from the training dataset of the new diseases. Inspired by human learning of visual classes with the e... 详细信息
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Loc4Plan: Locating Before Planning for Outdoor Vision and Language Navigation  24
Loc4Plan: Locating Before Planning for Outdoor Vision and La...
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32nd ACM International Conference on Multimedia, MM 2024
作者: Tian, Huilin Meng, Jingke Zheng, Wei-Shi Li, Yuan-Ming Yan, Junkai Zhang, Yunong School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Guangdong Provincial Key Laboratory of Information Security Technology Guangzhou China
Vision and Language Navigation (VLN) is a challenging task that requires agents to understand instructions and navigate to the destination in a visual environment. One of the key challenges in outdoor VLN is keeping t... 详细信息
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