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检索条件"机构=Center for Signal and Image Processing School of Electrical and Computer Engineering"
411 条 记 录,以下是71-80 订阅
排序:
Understanding the Robustness of 3D Object Detection with Bird’s-Eye-View Representations in Autonomous Driving
arXiv
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arXiv 2023年
作者: Zhu, Zijian Zhang, Yichi Chen, Hai Dong, Yinpeng Zhao, Shu Ding, Wenbo Zhong, Jiachen Zheng, Shibao Institute of Image Communication and Network Engineering Shanghai Jiao Tong University China Dept. of Comp. Sci. and Tech. Institute for AI THBI Lab BNRist Center Tsinghua University China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education School of Computer Science and Technology Anhui University Information Materials and Intelligent Sensing Laboratory of Anhui Province China SAIC Motor AI Lab China Zhongguancun Laboratory China
3D object detection is an essential perception task in autonomous driving to understand the environments. The Bird’s-Eye-View (BEV) representations have significantly improved the performance of 3D detectors with cam... 详细信息
来源: 评论
6G Wireless Communications: From Far-field Beam Steering to Near-field Beam Focusing
arXiv
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arXiv 2022年
作者: Zhang, Haiyang Shlezinger, Nir Guidi, Francesco Dardari, Davide Eldar, Yonina C. The School of Communication and Information Engineering Nanjing University of Posts and Telecommunications China The School of Electrical and Computer Engineering Ben-Gurion University Israel Electronics Telecommunications and Information Technologies from Ecole Polytechnique Paris-Tech France Computer Science Specialty The University of Bologna Italy IEIIT-CNR Italy The University of Bologna WiLAB-CNIT Italy The Department of Math and Computer Science Weizmann Institute of Science Israel The Center for Biomedical Engineering and Signal Processing The Israel Academy of Sciences and Humanities IEEE Fellow EURASIP Fellow
6G networks will be required to support higher data rates, improved energy efficiency, lower latency, and more diverse users compared with 5G systems. To meet these requirements, electrically extremely large-scale ant... 详细信息
来源: 评论
Gradients as a Measure of Uncertainty in Neural Networks
Gradients as a Measure of Uncertainty in Neural Networks
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IEEE International Conference on image processing
作者: Jinsol Lee Ghassan AlRegib OLIVES at the Center for Signal and Information Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA
Despite tremendous success of modern neural networks, they are known to be overconfident even when the model encounters inputs with unfamiliar conditions. Detecting such inputs is vital to preventing models from makin... 详细信息
来源: 评论
Contrastive Explanations In Neural Networks
Contrastive Explanations In Neural Networks
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IEEE International Conference on image processing
作者: Mohit Prabhushankar Gukyeong Kwon Dogancan Temel Ghassan AlRegib OLIVES at the Center for Signal and Information Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA
Visual explanations are logical arguments based on visual features that justify the predictions made by neural networks. Current modes of visual explanations answer questions of the form `Why P.7'. These Why quest... 详细信息
来源: 评论
Novelty Detection Through Model-Based Characterization of Neural Networks
Novelty Detection Through Model-Based Characterization of Ne...
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IEEE International Conference on image processing
作者: Gukyeong Kwon Mohit Prabhushankar Dogancan Temel Ghassan AlRegib OLIVES at the Center for Signal and Information Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA
In this paper, we propose a model-based characterization of neural networks to detect novel input types and conditions. Novelty detection is crucial to identify abnormal inputs that can significantly degrade the perfo... 详细信息
来源: 评论
Implicit Saliency In Deep Neural Networks
Implicit Saliency In Deep Neural Networks
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IEEE International Conference on image processing
作者: Yutong Sun Mohit Prabhushankar Ghassan AlRegib OLIVES at the Center for Signal and Information Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA
In this paper, we show that existing recognition and localization deep architectures, that have not been exposed to eye tracking data or any saliency datasets, are capable of predicting the human visual saliency. We t... 详细信息
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On the Structures of Representation for the Robustness of Semantic Segmentation to Input Corruption
On the Structures of Representation for the Robustness of Se...
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IEEE International Conference on image processing
作者: Charles Lehman Dogancan Temel Ghassan Alregib OLIVES at the Center for Signal and Information Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA
Semantic segmentation is a scene understanding task at the heart of safety-critical applications where robustness to corrupted inputs is essential. Implicit Background Estimation (IBE) has demonstrated to be a promisi... 详细信息
来源: 评论
S6: Semi-Supervised Self-Supervised Semantic Segmentation
S6: Semi-Supervised Self-Supervised Semantic Segmentation
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IEEE International Conference on image processing
作者: Moamen Soliman Charles Lehman Ghassan AlRegib OLIVES at the Center for Signal and Information Processing (CSIP) School of Electrical and Computer Engineering Georgia Institute of Technology GA Atlanta
Semi-supervised learning provides a means to leverage unlabeled data when labels are expensive to obtain. In this work, we propose a constrained framework that better learns from unlabeled data. The proposed algorithm... 详细信息
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Fault Diagnosis of Wind Energy Conversion Systems Using Gaussian Process Regression-based Multi-Class Random Forest
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IFAC-PapersOnLine 2022年 第6期55卷 127-132页
作者: Majdi Mansouri Radhia Fezai Mohamed Trabelsi Hajji Mansour Hazem Nounou Mohamed Nounou Electrical and Computer Engineering Program Texas A&M University at Qatar Doha Qatar Department of Mathematics and Sciences Prince Sultan University Riyadh 11586 Saudi Arabia Research Laboratory of Automation Signal Processing and Image National Engineering School of Monastir 5019 Tunisia Electronic and Communications Engineering Department Kuwait College of Science and Technology P. O. Box 27235 Kuwait Higher Institute of Applied Science and Technology of Kasserine University of Kairouan PO Box 471 1200 Kasserine Tunisia Chemical Engineering Program Texas A&M University at Qatar Doha Qatar
This work proposes a new fault diagnosis approach for a wind energy conversion (WEC) system. The proposed technique merges the benefits of feature extraction based on Gaussian Process Regression (GPR) and Multi-Class ... 详细信息
来源: 评论
Robustness And Overfitting Behavior Of Implicit Background Models
Robustness And Overfitting Behavior Of Implicit Background M...
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IEEE International Conference on image processing
作者: Shirley Liu Charles Lehman Ghassan AlRegib OLIVES at the Center for Signal and Information Processing (CSIP) School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA
In this paper, we examine the overfitting behavior of image classification models modified with Implicit Background Estimation (SCrIBE), which transforms them into weakly supervised segmentation models that provide sp... 详细信息
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