Keren Fu

Visar 29 publikationer

2019

Refinet: A Deep Segmentation Assisted Refinement Network for Salient Object Detection

Keren Fu, Qijun Zhao, Irene Yu-Hua Gu
IEEE Transactions on Multimedia. Vol. 21 (2), p. 457-469
Artikel i vetenskaplig tidskrift
2018

Spectral salient object detection

Keren Fu, Irene Yu-Hua Gu, Jie Yang
Neurocomputing. Vol. 275, p. 788-803
Artikel i vetenskaplig tidskrift
2017

Saliency Detection by Fully Learning A Continuous Conditional Random Field

Keren Fu, Irene Yu-Hua Gu, Jie Yang
IEEE Transactions on Multimedia. Vol. 19 (7), p. 1531-1544
Artikel i vetenskaplig tidskrift
2016

Learning full-range affinity for diffusion-based saliency detection

Keren Fu, Irene Yu-Hua Gu, Jie Yang
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 2016-May, p. 1926-1930
Paper i proceeding
2016

Co-saliency detection via inter and intra saliency propagation

Chenjie Ge, Keren Fu, Fanghui Liu et al
Signal Processing: Image Communication. Vol. 44, p. 69-83
Artikel i vetenskaplig tidskrift
2016

Robust visual tracking via inverse nonnegative matrix factorization

Fanghui Liu, Tao Zhou, Keren Fu et al
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 2016-May, p. 1491-1495
Paper i proceeding
2016

Robust visual tracking via constrained correlation filter coding

Fanghui Liu, Tao Zhou, Keren Fu et al
Pattern Recognition Letters. Vol. 84, p. 163-169
Artikel i vetenskaplig tidskrift
2016

Robust manifold-preserving diffusion-based saliency detection by adaptive weight construction

Keren Fu, Irene Yu-Hua Gu, Chen Gong et al
Neurocomputing. Vol. 175 (Part A), p. 336-347
Artikel i vetenskaplig tidskrift
2016

Geodesic Distance Transform-based Salient Region Segmentation for Automatic Traffic Sign Recognition

Keren Fu, Irene Yu-Hua Gu, Anders Ödblom et al
Proceedings - 2016 IEEE Intelligent Vehicles Symposium, IV 2016, Gotenburg, Sweden, 19-22 June 2016. Vol. 2016-August, p. 948-953
Paper i proceeding
2015

SALIENT OBJECT DETECTION USING NORMALIZED CUT AND GEODESICS

Keren Fu, Chen Gong, Irene Yu-Hua Gu et al
Proceedings - International Conference on Image Processing, ICIP. Vol. 2015-December, p. 1100-1104
Paper i proceeding
2015

Co-saliency detection via similarity-based saliency propagation

Chenjie Ge, Keren Fu, Yijun Li et al
2015 IEEE International Conference on Image Processing (ICIP), p. 1845 - 1849
Paper i proceeding
2015

Normalized Cut-based Saliency Detection by Adaptive Multi-Level Region Merging

Keren Fu, C Gong, Irene Yu-Hua Gu et al
IEEE Transactions on Image Processing. Vol. 24 (12), p. 5671-5683
Artikel i vetenskaplig tidskrift
2015

Recognition of Chinese Traffic Signs from Street Views

Keren Fu, Irene Yu-Hua Gu
Rapport
2015

Traffic Sign Recognition using Salient Region Features: A Novel Learning-based Coarse-to-Fine Scheme

Keren Fu, Irene Yu-Hua Gu, Anders Ödblom
IEEE Intelligent Vehicles Symposium, June 28-July 1, 2015, Seoul, Korea. Vol. 2015-August, p. 443-448
Paper i proceeding
2015

Detection and Recognition of Traffic Signs from Videos using Saliency-Enhanced Features

Keren Fu, Irene Yu-Hua Gu, Anders Ödblom
Nationell konferens i transportforskning, Oct. 21-22, 2015, Karstans universitet, Sweden., p. 2-
Paper i proceeding
2014

Automatic traffic sign recognition based on saliency-enhanced features and SVMs from incrementally built dataset

Keren Fu, Irene Yu-Hua Gu, Anders Ödblom
Proceedings of the 3rd International Conference on Connected Vehicles and Expo, ICCVE 2014; Vienna; Austria; 3-7 November 2014, p. 947-952
Paper i proceeding
2014

Human Activity Recognition in Images Using SVMs and Geodesics on Smooth Manifolds

Yixiao Yun, Keren Fu, Irene Yu-Hua Gu et al
8th ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2014; Venezia; Italy; 4 November 2014 through 7 November 2014, p. Art. no. a20-
Paper i proceeding
2014

Visual Object Tracking with Online Learning on Riemannian Manifolds by One-Class Support Vector Machines

Yixiao Yun, Keren Fu, Irene Yu-Hua Gu et al
IEEE International Conference on Image Processing (ICIP 2014), Oct.27 - 30, 2014, Paris, France, p. 1902-1906
Paper i proceeding
2014

Effective Small Dim Target Detection by Local Connectedness Constraint

Keren Fu, K Xie, C Gong et al
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, p. 8110-8114
Paper i proceeding
2014

Graph Construction for Salient Object Detection in Videos

Keren Fu, Irene Yu-Hua Gu, Yixiao Yun et al
Proceedings - International Conference on Pattern Recognition, p. 2371-2376
Paper i proceeding
2014

Spectral salient object detection

Keren Fu, C Gong, Irene Yu-Hua Gu et al
Proceedings - IEEE International Conference on Multimedia and Expo. Vol. 2014-September (Septmber), p. 6-
Paper i proceeding
2014

Adaptive Multi-Level Region Merging for Salient Object Detection

Keren Fu, Chen Gong, Yixiao Yun et al
British Machine Vision Conference (BMVC) 2014, p. 11 -
Paper i proceeding
2013

Geodesic Saliency Propagation for Image Salient Region Detection

Keren Fu, Chen Gong, Irene Yu-Hua Gu et al
IEEE Int'l conf. on Image Processing (ICIP 2013), Sept.15-18, Melbourne, Australia, p. 3278-3282
Paper i proceeding
2013

Superpixel based Color Contrast and Color Distribution Driven Salient Object Detection

Keren Fu, Chen Gong, Jie Yang et al
Signal Processing: Image Communication. Vol. 28 (10), p. 1448-1463
Artikel i vetenskaplig tidskrift
2013

Superpixel based color contrast and color distribution driven salient object detection

Keren Fu, Chen Gong, J. Yang et al
Signal Processing: Image Communication. Vol. 28 (10), p. 1448-1463
Artikel i vetenskaplig tidskrift
2013

One-class support vector machine-assisted robust tracking

Keren Fu, Chen Gong, Yu Qiao et al
Journal of Electronic Imaging. Vol. 22 (2), p. 11-
Artikel i vetenskaplig tidskrift
2012

One-Class SVM Assisted Accurate Tracking

Keren Fu, Chen Gong, Yu Qiao et al
6th ACM/IEEE Int'l Conf on Distributed Smart Cameras (ICDSC 12), Oct 30 - Nov.2, 2012, Hong Kong, p. 6 pages-
Paper i proceeding

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