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浏览/检索结果: 共24条，第1-10条 帮助 限定条件 专题：计算技术研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 IAUnet: Global Context-Aware Feature Learning for Person Reidentification 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4460-4474 作者:  Hou, Ruibing;  Ma, Bingpeng;  Chang, Hong;  Gu, Xinqian;  Shan, Shiguang 收藏  |  浏览/下载：34/0  |  提交时间：2021/12/01 Context modeling  Feature extraction  Computational modeling  Semantics  Aggregates  Visualization  Task analysis  Feature enhancing  interaction-aggregation  person reidentification (reID)  spatial-temporal context modeling   A Decomposable Winograd Method for N-D Convolution Acceleration in Video Analysis 期刊论文 INTERNATIONAL JOURNAL OF COMPUTER VISION, 2021, 页码: 21 作者:  Huang, Di;  Zhang, Rui;  Zhang, Xishan;  Wu, Fan;  Wang, Xianzhuo 收藏  |  浏览/下载：31/0  |  提交时间：2021/12/01 Convolution neural networks  Model acceleration  Winograd algorithm  Video analysis   Practical Attacks on Deep Neural Networks by Memory Trojaning 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2021, 卷号: 40, 期号: 6, 页码: 1230-1243 作者:  Hu, Xing;  Zhao, Yang;  Deng, Lei;  Liang, Ling;  Zuo, Pengfei 收藏  |  浏览/下载：21/0  |  提交时间：2021/12/01 Trojan horses  Hardware  Integrated circuit modeling  Computational modeling  Security  Payloads  Convolutional neural networks (CNNs)  deep learning accelerator  deep learning attack  hardware Trojan   Towards effective learning for face super-resolution with shape and pose perturbations 期刊论文 KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 220, 页码: 10 作者:  Hu, Xiyuan;  Fan, Zhenfeng;  Jia, Xu;  Li, Zhihui;  Zhang, Xuyun 收藏  |  浏览/下载：25/0  |  提交时间：2021/12/01 Convolutional neural networks  Face super-resolution  Facial landmarks  3D face model   An Edge 3D CNN Accelerator for Low-Power Activity Recognition 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2021, 卷号: 40, 期号: 5, 页码: 918-930 作者:  Wang, Ying;  Wang, Yongchen;  Shi, Cong;  Cheng, Long;  Li, Huawei 收藏  |  浏览/下载：22/0  |  提交时间：2021/12/01 Three-dimensional displays  Two dimensional displays  Arrays  Feature extraction  System-on-chip  Redundancy  3D CNN  activity analysis  CNN accelerator  network-on-chip  video   Recognizing Global Dams From High-Resolution Remotely Sensed Images Using Convolutional Neural Networks 期刊论文 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14, 页码: 6363-6371 作者:  Fang, Weizhen;  Sun, Yiyuan;  Ji, Rui;  Wan, Wei;  Ma, Lei 收藏  |  浏览/下载：17/0  |  提交时间：2021/12/01 Dams  Image recognition  Remote sensing  Earth  Training  Internet  Object recognition  Convolutional neural networks (CNNs)  dams  deep learning  Google earth  object recognition   Multi-Scale Multi-View Deep Feature Aggregation for Food Recognition 期刊论文 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 265-276 作者:  Jiang, Shuqiang;  Min, Weiqing;  Liu, Linhu;  Luo, Zhengdong 收藏  |  浏览/下载：135/0  |  提交时间：2019/12/10 Food recognition  ingredient knowledge  feature aggregation  convolutional neural networks   MV-Net: Toward Real-Time Deep Learning on Mobile GPGPU Systems 期刊论文 ACM JOURNAL ON EMERGING TECHNOLOGIES IN COMPUTING SYSTEMS, 2019, 卷号: 15, 期号: 4, 页码: 25 作者:  Tang, Yibin;  Wang, Ying;  Li, Huawei;  Li, Xiaowei 收藏  |  浏览/下载：10/0  |  提交时间：2020/12/10 Edge computing  online scheduling  deep learning  energy efficiency  approximate computing   SqueezeFlow: A Sparse CNN Accelerator Exploiting Concise Convolution Rules 期刊论文 IEEE TRANSACTIONS ON COMPUTERS, 2019, 卷号: 68, 期号: 11, 页码: 1663-1677 作者:  Li, Jiajun;  Jiang, Shuhao;  Gong, Shijun;  Wu, Jingya;  Yan, Junchao 收藏  |  浏览/下载：13/0  |  提交时间：2020/12/10 Convolutional neural networks  accelerator architecture  hardware acceleration   Deep Supervised Hashing for Fast Image Retrieval 期刊论文 INTERNATIONAL JOURNAL OF COMPUTER VISION, 2019, 卷号: 127, 期号: 9, 页码: 1217-1234 作者:  Liu, Haomiao;  Wang, Ruiping;  Shan, Shiguang;  Chen, Xilin 收藏  |  浏览/下载：73/0  |  提交时间：2019/12/10 Image retrieval  Hashing  Convolutional network  Contrastive loss  Triplet ranking loss