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Displaying 1-15 out of 15 total
Nonparametric Label-to-Region by search
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Xiaobai Liu, Shuicheng Yan, Jiebo Luo, Jinhui Tang, Zhongyang Huango, Hai Jin
Issue Date:June 2010
pp. 3320-3327
In this work, we investigate how to propagate annotated labels for a given single image from the image-level to their corresponding semantic regions, namely Label-to-Region (L2R), by utilizing the auxiliary knowledge from Internet image search with the ann...
 
Unified Solution to Nonnegative Data Factorization Problems
Found in: Data Mining, IEEE International Conference on
By Xiaobai Liu, Shuicheng Yan, Jun Yan, Hai Jin
Issue Date:December 2009
pp. 307-316
In this paper, we restudy the non-convex data factorization problems (regularized or not, unsupervised or supervised), where the optimization is confined in the \emph{nonnegative} orthant, and provide a \emph{unified} convergency provable solution based on...
 
Human Re-identification by Matching Compositional Template with Cluster Sampling
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Yuanlu Xu,Liang Lin,Wei-Shi Zheng,Xiaobai Liu
Issue Date:December 2013
pp. 3152-3159
This paper aims at a newly raising task in visual surveillance: re-identifying people at a distance by matching body information, given several reference examples. Most of existing works solve this task by matching a reference template with the target indi...
 
Multi-class semi-supervised SVMs with Positiveness Exclusive Regularization
Found in: Computer Vision, IEEE International Conference on
By Xiaobai Liu,Xiaotong Yuan,Shuicheng Yan, Hai Jin
Issue Date:November 2011
pp. 1435-1442
In this work, we address the problem of multi-class classification problem in semi-supervised setting. A regularized multi-task learning approach is presented to train multiple binary-class Semi-Supervised Support Vector Machines (S3VMs) using the one-vs-r...
 
Segment an image by looking into an image corpus
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Xiaobai Liu, Jiashi Feng, Shuicheng Yan, Liang Lin, Hai Jin
Issue Date:June 2011
pp. 2249-2256
This paper investigates how to segment an image into semantic regions by harnessing an unlabeled image corpus. First, the image segmentation task is recast as a small-size patch grouping problem. Then, we discover two novel patch-pair priors, namely the fi...
 
Layered Graph Matching with Composite Cluster Sampling
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Liang Lin, Xiaobai Liu, Song-Chun Zhu
Issue Date:August 2010
pp. 1426-1442
This paper presents a framework of layered graph matching for integrating graph partition and matching. The objective is to find an unknown number of corresponding graph structures in two images. We extract discriminative local primitives from both images ...
 
Trajectory parsing by cluster sampling in spatio-temporal graph
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Xiaobai Liu, Liang Lin, Song-Chun Zhu, Hai Jin
Issue Date:June 2009
pp. 739-746
The objective of this paper is to parse object trajectories in surveillance video against occlusion, interruption, and background clutter. We present a spatio-temporal graph (ST-Graph) representation and a cluster sampling algorithm via deferred inference....
 
Layered graph matching by composite cluster sampling with collaborative and competitive interactions
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Liang Lin, Kun Zeng, Xiaobai Liu, Song-Chun Zhu
Issue Date:June 2009
pp. 1351-1358
This paper studies a framework for matching an unknown number of corresponding structures in two images (shapes), motivated by detecting objects in cluttered background and learning parts from articulated motion. Due to the large distortion between shapes ...
 
The Principle of Turtle Motion and Bio-Mechanism of Its Four Limbs Research
Found in: Pacific-Asia Workshop on Computational Intelligence and Industrial Application, IEEE
By Mingjun Zhang, Xiaobai Liu, Dinghui Chu, Shaobo Guo
Issue Date:December 2008
pp. 573-578
As good pose agility and control ability of the marine turtle swimming, its motion principle and bionic of four-limbs are investigated. After building a real-time video monitor experiment platform for turtle motion, by the video processing methods and anal...
 
Contextualized Trajectory Parsing with Spatio-Temporal Graph
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Xiaobai Liu,Liang Lin,Hai Jin
Issue Date:February 2014
pp. 1
This work investigates how to automatically parse object trajectories in surveillance videos, that aims to jointly solve three subproblems: i) spatial segmentation, ii) temporal tracking, and iii) object categorization. We present a novel representation sp...
 
Robust Region Grouping via Internal Patch Statistics
Found in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Xiaobai Liu,Liang Lin,Alan L. Yuille
Issue Date:June 2013
pp. 1931-1938
In this work, we present an efficient multi-scale low-rank representation for image segmentation. Our method begins with partitioning the input images into a set of super pixels, followed by seeking the optimal super pixel-pair affinity matrix, both of whi...
 
Label-to-region with continuity-biased bi-layer sparsity priors
Found in: ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
By Bin Cheng, Hai Jin, Jinhui Tang, Shuicheng Yan, Tat-Sheng Chua, Xiaobai Liu
Issue Date:November 2012
pp. 1-23
In this work, we investigate how to reassign the fully annotated labels at image level to those contextually derived semantic regions, namely Label-to-Region (L2R), in a collective manner. Given a set of input images with label annotations, the basic idea ...
     
Image segmentation with patch-pair density priors
Found in: Proceedings of the international conference on Multimedia (MM '10)
By Hai Jin, Jiashi Feng, Shuicheng Yan, Xiaobai Liu
Issue Date:October 2010
pp. 113-122
In this paper, we investigate how an unlabeled image corpus can facilitate the segmentation of any given image. A simple yet efficient multi-task joint sparse representation model is presented to augment the patch-pair similarities by harnessing the newly ...
     
Label to region by bi-layer sparsity priors
Found in: Proceedings of the seventeen ACM international conference on Multimedia (MM '09)
By Bin Cheng, Hai Jin, Jinhui Tang, Shuicheng Yan, Tat Seng Chua, Xiaobai Liu
Issue Date:October 2009
pp. 115-124
In this work, we investigate how to automatically reassign the manually annotated labels at the image-level to those contextually derived semantic regions. First, we propose a bi-layer sparse coding formulation for uncovering how an image or semantic regio...
     
Foreground classification using active template in the scene context for visual surveillance
Found in: Proceedings of the 2009 ACM symposium on Applied Computing (SAC '09)
By Jianting Wen, Xiaobai Liu, Xiaoying Sha
Issue Date:March 2009
pp. 1-5
This paper presents an integrated framework for real-time target category recognition integrating the active template matching and the context of visual surveillance. The active templates are in the form of a dictionary of active features (bases), which ar...
     
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