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检索条件"机构=Multimedia Signal Processing and Pattern Recognition Lab."
19 条 记 录,以下是1-10 订阅
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Wami Object Tracking Using L1 Tracker Integrated with a Deep Detector  25
Wami Object Tracking Using L1 Tracker Integrated with a Deep...
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25th IEEE International Conference on Image processing, ICIP 2018
作者: Onur Ozyurt, Erdem Gunsel, Bilge Multimedia Signal Proc. and Pattern Recognition Lab. Istanbul Technical University Turkey
We propose an object tracking method for Wide Area Motion Imagery (WAMI) video sequences, which models the tracking as a regularization problem through sparse representation of aerial video content. The proposed objec... 详细信息
来源: 评论
AIM 2020 Challenge on Image Extreme Inpainting  16th
AIM 2020 Challenge on Image Extreme Inpainting
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Workshops held at the 16th European Conference on Computer Vision, ECCV 2020
作者: Ntavelis, Evangelos Romero, Andrés Bigdeli, Siavash Timofte, Radu Hui, Zheng Wang, Xiumei Gao, Xinbo Shin, Chajin Kim, Taeoh Son, Hanbin Lee, Sangyoun Li, Chao Li, Fu He, Dongliang Wen, Shilei Ding, Errui Bai, Mengmeng Li, Shuchen Zeng, Yu Lin, Zhe Yang, Jimei Zhang, Jianming Shechtman, Eli Lu, Huchuan Zeng, Weijian Ni, Haopeng Cai, Yiyang Li, Chenghua Xu, Dejia Wu, Haoning Han, Yu Nadim, Uddin S. M. Jang, Hae Woong Ahmed, Soikat Hasan Yoon, Jungmin Jung, Yong Ju Li, Chu-Tak Liu, Zhi-Song Wang, Li-Wen Siu, Wan-Chi Lun, Daniel P. K. Suin, Maitreya Purohit, Kuldeep Rajagopalan, A.N. Narang, Pratik Mandal, Murari Chauhan, Pranjal Singh Computer Vision Lab ETH Zürich Zürich Switzerland CSEM Neuchâtel Switzerland School of Electronic Engineering Xidian University Xi’an China Image and Video Pattern Recognition Laboratory School of Electrical and Electronic Engineering Yonsei University Seoul Korea Republic of Baidu Inc. Beijing China Beijing China Dalian University of Technology Dalian China Adobe San Jose United States Rensselaer Polytechnic Institute Troy United States Peking University Beijing China Lab Gachon University Seongnam Korea Republic of Centre for Multimedia Signal Processing Department of Electronic and Information Engineering The Hong Kong Polytechnic University Hong Kong China Indian Institute of Technology Madras Chennai India BITS Pilani Pilani India MNIT Jaipur Jaipur India
This paper reviews the AIM 2020 challenge on extreme image inpainting. This report focuses on proposed solutions and results for two different tracks on extreme image inpainting: classical image inpainting and semanti... 详细信息
来源: 评论
WAMI OBJECT TRACKING USING L_1 TRACKER INTEGRATED WITH A DEEP DETECTOR
WAMI OBJECT TRACKING USING L_1 TRACKER INTEGRATED WITH A DEE...
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IEEE International Conference on Image processing
作者: Erdem Onur Ozyurt Bilge Gunsel Multimedia Signal Proc. and Pattern Recognition Lab. Istanbul Technical University Turkey
We propose an object tracking method for Wide Area Motion Imagery (WAMI) video sequences, which models the tracking as a regularization problem through sparse representation of aerial video content. The proposed objec... 详细信息
来源: 评论
Benchmarking super-resolution algorithms on real data
arXiv
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arXiv 2017年
作者: Köhler, Thomas Bätz, Michel Naderi, Farzad Kaup, André Maier, Andreas K. Riess, Christian Pattern Recognition Lab Dept. of Computer Science Multimedia Communications and Signal Processing Dept. of Electrical Electronic and Communication Engineering Erlangen-Nürnberg Erlangen Germany
Over the past decades, various super-resolution (SR) techniques have been developed to enhance the spatial resolution of digital images. Despite the great number of methodical contributions, there is still a lack of c... 详细信息
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Binary pattern flavored feature extractors for Facial Expression recognition: An overview
Binary pattern flavored feature extractors for Facial Expres...
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Proceedings of the International Convention MIPRO
作者: Rasmus Lyngby Kristensen Zheng-Hua Tan Zhanyu Ma Jun Guo Section of Image Analysis and Computer Graphics Technical University of Denmark Kgs. Lyngby Denmark Signal and Information Processing section (SIP) Aalborg University Aalborg Denmark Pattern Recognition and Intelligent System Lab. Beijing University of Posts and Telecommunications Beijing China
This paper conducts a survey of modern binary pattern flavored feature extractors applied to the Facial Expression recognition (FER) problem. In total, 26 different feature extractors are included, of which six are se... 详细信息
来源: 评论
SAR IMAGE CLASSIFICATION WITH NORMALIZED GAMMA PROCESS MIXTURES
SAR IMAGE CLASSIFICATION WITH NORMALIZED GAMMA PROCESS MIXTU...
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IEEE International Conference on Image processing
作者: Koray Kayabol Bilge Gunsel Multimedia Signal Processing and Pattern Recognition Lab. Istanbul Technical University
We propose a novel image prior for the non-parametric Bayesian mixture model based unsupervised classification of SAR images. We modified the Normalized Gamma Process prior that constitutes a more general form of the ... 详细信息
来源: 评论
Color constancy and non-uniform illumination: Can existing algorithms work?
Color constancy and non-uniform illumination: Can existing a...
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International Conference on Computer Vision Workshops (ICCV Workshops)
作者: Michael Bleier Christian Riess Shida Beigpour Eva Eibenberger Elli Angelopoulou Tobias Tröger André Kaup Pattern Recognition Lab University of Erlangen-Nuremberg Germany Computer Vision Center Universidad Autónoma de Barcelona Spain Multimedia Communications and Signal Processing University of Erlangen-Nuremberg Germany
The color and distribution of illuminants can significantly alter the appearance of a scene. The goal of color constancy (CC) is to remove the color bias introduced by the illuminants. Most existing CC algorithms assu... 详细信息
来源: 评论
An ensemble based incremental learning framework for concept drift and class imbalance
An ensemble based incremental learning framework for concept...
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2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
作者: Ditzler, Gregory Polikar, Robi ECE Department Rowan University Signal Processing and Pattern Recognition Lab. Glassboro NJ 08028 United States
We have recently introduced an incremental learning algorithm, Learn ++.NSE, designed to learn in nonstationary environments, and has been shown to provide an attractive solution to a number of concept drift problems ... 详细信息
来源: 评论
A PERCEPTUALLY ENHANCED BLIND SINGLE-CHANNEL AUDIO SOURCE SEPARATION BY NON-NEGATIVE MATRIX FACTORIZATION
A PERCEPTUALLY ENHANCED BLIND SINGLE-CHANNEL AUDIO SOURCE SE...
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European signal processing Conference
作者: S. Kubiz B. Gunsel Multimedia Signal Processing and Pattern Recognition Lab. Istanbul Technical University Dept. of Electronics and Communications Engineering
This paper proposes a 2D Non-negative Matrix Factorization (NMF) based single-channel source separation algorithm that emphasizes perceptually important components of audio. Unlike the existing methods, the proposed s... 详细信息
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Annealed SMC samplers for Dirichlet process mixture models
Annealed SMC samplers for Dirichlet process mixture models
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2010 20th International Conference on pattern recognition, ICPR 2010
作者: Ulker, Yener Gunsel, Bilge Cemgil, Ali Taylan Multimedia Signal Proc.and Pattern Recognition Lab. Dept. of Electronics and Communications Eng. Istanbul Technical University 34469 Maslak Istanbul Turkey Dept. of Computer Eng. Bogazici University 34342 Bebek Istanbul Turkey
In this work we propose a novel algorithm that approximates sequentially the Dirichlet Process Mixtures (DPM) model posterior. The proposed method takes advantage of the Sequential Monte Carlo (SMC) samplers framework... 详细信息
来源: 评论