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Optimization-Based Post-Training Quantization With Bit-Split and Stitching 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 2, 页码: 2119-2135
作者:  Wang, Peisong;  Chen, Weihan;  He, Xiangyu;  Chen, Qiang;  Liu, Qingshan;  Cheng, Jian
Adobe PDF(921Kb)  |  收藏  |  浏览/下载：187/56  |  提交时间：2023/03/20
Deep neural networks  compression  quantization  post-training quantization  
Category-Level 6D Object Pose Estimation With Structure Encoder and Reasoning Attention 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 10, 页码: 6728-6740
作者:  Liu, Jierui;  Cao, Zhiqiang;  Tang, Yingbo;  Liu, Xilong;  Tan, Min
Adobe PDF(22124Kb)  |  收藏  |  浏览/下载：259/6  |  提交时间：2022/11/14
Shape  Three-dimensional displays  Cognition  Pose estimation  Feature extraction  Decoding  Solid modeling  Category-level  6D object pose estimation  structure encoder  reasoning attention  
Generalized zero-shot emotion recognition from body gestures 期刊论文
APPLIED INTELLIGENCE, 2021, 页码: 19
作者:  Wu, Jinting;  Zhang, Yujia;  Sun, Shiying;  Li, Qianzhong;  Zhao, Xiaoguang
Adobe PDF(2059Kb)  |  收藏  |  浏览/下载：311/64  |  提交时间：2021/12/28
Generalized zero-shot learning  Emotion recognition  Body gesture recognition  Prototype learning  
Rethinking semantic-visual alignment in zero-shot object detection via a softplus margin focal loss 期刊论文
Neurocomputing, 2021, 卷号: 449, 页码: 117-135
作者:  Li, Qianzhong;  Zhang, Yujia;  Sun, Shiying;  Zhao, Xiaoguang;  Li, Kang;  Tan, Min
Adobe PDF(8753Kb)  |  收藏  |  浏览/下载：287/37  |  提交时间：2021/08/15
Zero-shot object detection  Softplus margin focal loss  Semantic-visual alignment  Auto-encoder architecture  
Robot learning through observation via coarse-to-fine grained video summarization 期刊论文
APPLIED SOFT COMPUTING, 2021, 卷号: 99, 期号: /, 页码: 106913
作者:  Zhang, Yujia;  Li, Qianzhong;  Zhao, Xiaoguang;  Tan, Min
Adobe PDF(5989Kb)  |  收藏  |  浏览/下载：361/76  |  提交时间：2021/03/08
Robotic vision  Learning through observation  Coarse-to-fine video summarization  
Automated Silicon-Substrate Ultra-Microtome for Automating the Collection of Brain Sections in Array Tomography 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2021, 卷号: 8, 期号: 2, 页码: 389-401
作者:  Cheng, Long;  Liu, Weizhou;  Zhou, Chao;  Zou, Yongxiang;  Hou, Zeng-Guang
Adobe PDF(17687Kb)  |  收藏  |  浏览/下载：282/48  |  提交时间：2021/03/08
Array tomography  automatic collection system  brain sections  microscopic object detection  serial section  
Object Reconstruction Based on Attentive Recurrent Network from Single and Multiple Images 期刊论文
NEURAL PROCESSING LETTERS, 2021, 期号: 53, 页码: 18
作者:  Gao, Zishu;  Li, En;  Wang, Zhe;  Yang, Guodong;  Lu, Jiwu;  Ouyang, Bo;  Xu, Dawei;  Liang, Zize
Adobe PDF(1338Kb)  |  收藏  |  浏览/下载：278/57  |  提交时间：2021/03/01
Object reconstruction  Convolutional LSTM  Visual attention  Robotic application  
Prediction-Based Seabed Terrain Following Control for an Underwater Vehicle-Manipulator System 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 卷号: 51, 期号: 无, 页码: 无
作者:  Cai, Mingxue;  Wang, Yu;  Wang, Shuo;  Wang, Rui;  Cheng, Long;  Tan, Min
浏览  |  Adobe PDF(2339Kb)  |  收藏  |  浏览/下载：261/68  |  提交时间：2020/05/07
Seabed Terrain Following Control (STFC)  Seabed Terrain Prediction  Underwater Vehicle Control  UVMS  
Automatic Carotid Artery Detection Using Attention Layer Region-Based Convolution Neural Network 期刊论文
INTERNATIONAL JOURNAL OF HUMANOID ROBOTICS, 2019, 卷号: 16, 期号: 4, 页码: 17
作者:  Wang, Xiaoyan;  Zhong, Xingyu;  Xia, Ming;  Jiang, Weiwei;  Huang, Xiaojie;  Gu, Zheng;  Huang, Xiangsheng
收藏  |  浏览/下载：211/0  |  提交时间：2019/12/16
Object detection  convolutional neural networks  ensemble feature maps  
A precise seam tracking method for narrow butt seams based on structured light vision sensor 期刊论文
OPTICS AND LASER TECHNOLOGY, 2019, 卷号: 109, 页码: 616-626
作者:  Fan, Junfeng;  Jing, Fengshui;  Yang, Lei;  Long, Teng;  Tan, Min
浏览  |  Adobe PDF(2170Kb)  |  收藏  |  浏览/下载：319/124  |  提交时间：2019/04/27
Seam tracking  Structured light vision  Narrow butt seam  Image processing  Fuzzy-PID controller