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Displaying 1-50 out of 61 total
A Runtime Goal Conflict Resolution Model for Agent Systems
Found in: 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)
By Xiaogang Wang,Jian Cao,Jie Wang
Issue Date:December 2012
pp. 340-347
The goal-oriented agent programming based on BDI model is obtaining increasing attentions, because it allows us to design proactive behaviors for an agent. Generally, an agent does pursue multiple goals not only in a sequential way, but in a simultaneous m...
 
Transferring a generic pedestrian detector towards specific scenes
Found in: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Meng Wang, Wei Li, Xiaogang Wang
Issue Date:June 2012
pp. 3274-3281
The performance of a generic pedestrian detector may drop significantly when it is applied to a specific scene due to mismatch between the source dataset used to train the detector and samples in the target scene. In this paper, we investigate how to autom...
 
Automatic adaptation of a generic pedestrian detector to a specific traffic scene
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Meng Wang, Xiaogang Wang
Issue Date:June 2011
pp. 3401-3408
In recent years significant progress has been made learning generic pedestrian detectors from manually labeled large scale training sets. However, when a generic pedestrian detector is applied to a specific scene where the testing data does not match with ...
 
Web Image Re-Ranking UsingQuery-Specific Semantic Signatures
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Xiaogang Wang, Shi Qiu, Ke Liu, Xiaoou Tang
Issue Date:April 2014
pp. 810-823
Image re-ranking, as an effective way to improve the results of web-based image search, has been adopted by current commercial search engines such as Bing and Google. Given a query keyword, a pool of images are first retrieved based on textual information....
 
Deep Learning Identity-Preserving Face Space
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Zhenyao Zhu,Ping Luo,Xiaogang Wang,Xiaoou Tang
Issue Date:December 2013
pp. 113-120
Face recognition with large pose and illumination variations is a challenging problem in computer vision. This paper addresses this challenge by proposing a new learning based face representation: the face identity-preserving (FIP) features. Unlike convent...
 
A Deep Sum-Product Architecture for Robust Facial Attributes Analysis
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Ping Luo,Xiaogang Wang,Xiaoou Tang
Issue Date:December 2013
pp. 2864-2871
Recent works have shown that facial attributes are useful in a number of applications such as face recognition and retrieval. However, estimating attributes in images with large variations remains a big challenge. This challenge is addressed in this paper....
 
Visual Semantic Complex Network for Web Images
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Shi Qiu,Xiaogang Wang,Xiaoou Tang
Issue Date:December 2013
pp. 3623-3630
This paper proposes modeling the complex web image collections with an automatically generated graph structure called visual semantic complex network (VSCN). The nodes on this complex network are clusters of images with both visual and semantic consistency...
 
Person Re-identification by Salience Matching
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Rui Zhao,Wanli Ouyang,Xiaogang Wang
Issue Date:December 2013
pp. 2528-2535
Human salience is distinctive and reliable information in matching pedestrians across disjoint camera views. In this paper, we exploit the pair wise salience distribution relationship between pedestrian images, and solve the person re-identification proble...
 
Hybrid Deep Learning for Face Verification
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Yi Sun,Xiaogang Wang,Xiaoou Tang
Issue Date:December 2013
pp. 1489-1496
This paper proposes a hybrid convolutional network (ConvNet)-Restricted Boltzmann Machine (RBM) model for face verification in wild conditions. A key contribution of this work is to directly learn relational visual features, which indicate identity similar...
 
Joint Deep Learning for Pedestrian Detection
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Wanli Ouyang,Xiaogang Wang
Issue Date:December 2013
pp. 2056-2063
Feature extraction, deformation handling, occlusion handling, and classification are four important components in pedestrian detection. Existing methods learn or design these components either individually or sequentially. The interaction among these compo...
 
Pedestrian Parsing via Deep Decompositional Network
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Ping Luo,Xiaogang Wang,Xiaoou Tang
Issue Date:December 2013
pp. 2648-2655
We propose a new Deep Decompositional Network (DDN) for parsing pedestrian images into semantic regions, such as hair, head, body, arms, and legs, where the pedestrians can be heavily occluded. Unlike existing methods based on template matching or Bayesian...
 
Multi-stage Contextual Deep Learning for Pedestrian Detection
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Xingyu Zeng,Wanli Ouyang,Xiaogang Wang
Issue Date:December 2013
pp. 121-128
Cascaded classifiers have been widely used in pedestrian detection and achieved great success. These classifiers are trained sequentially without joint optimization. In this paper, we propose a new deep model that can jointly train multi-stage classifiers ...
 
Image Transformation Based on Learning Dictionaries across Image Spaces
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Kui Jia, Xiaogang Wang, Xiaoou Tang
Issue Date:February 2013
pp. 367-380
In this paper, we propose a framework of transforming images from a source image space to a target image space, based on learning coupled dictionaries from a training set of paired images. The framework can be used for applications such as image super-reso...
 
Hierarchical face parsing via deep learning
Found in: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Ping Luo, Xiaogang Wang, Xiaoou Tang
Issue Date:June 2012
pp. 2480-2487
This paper investigates how to parse (segment) facial components from face images which may be partially occluded. We propose a novel face parser, which recasts segmentation of face components as a cross-modality data transformation problem, i.e., transfor...
 
Synthesizing oil painting surface geometry from a single photograph
Found in: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Wei Luo, Zheng Lu, Xiaogang Wang, Ying-Qing Xu,M. Ben-Ezra, Xiaoou Tang,M. S. Brown
Issue Date:June 2012
pp. 885-892
We present an approach to synthesize the subtle 3D relief and texture of oil painting brush strokes from a single photograph. This task is unique from traditional synthesize algorithms due to its mixed modality between the input and output; i.e., our goal ...
 
A discriminative deep model for pedestrian detection with occlusion handling
Found in: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Wanli Ouyang, Xiaogang Wang
Issue Date:June 2012
pp. 3258-3265
Part-based models have demonstrated their merit in object detection. However, there is a key issue to be solved on how to integrate the inaccurate scores of part detectors when there are occlusions or large deformations. To handle the imperfectness of part...
 
Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents
Found in: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Bolei Zhou, Xiaogang Wang, Xiaoou Tang
Issue Date:June 2012
pp. 2871-2878
In this paper, a new Mixture model of Dynamic pedestrian-Agents (MDA) is proposed to learn the collective behavior patterns of pedestrians in crowded scenes. Collective behaviors characterize the intrinsic dynamics of the crowd. From the agent-based modeli...
 
IntentSearch: Capturing User Intention for One-Click Internet Image Search
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Xiaoou Tang,Ke Liu,Jingyu Cui,Fang Wen,Xiaogang Wang
Issue Date:July 2012
pp. 1342-1353
Web-scale image search engines (e.g., Google image search, Bing image search) mostly rely on surrounding text features. It is difficult for them to interpret users' search intention only by query keywords and this leads to ambiguous and noisy search result...
 
Optical flow estimation using learned sparse model
Found in: Computer Vision, IEEE International Conference on
By Kui Jia, Xiaogang Wang, Xiaoou Tang
Issue Date:November 2011
pp. 2391-2398
Optical flow estimation is a fundamental and ill-posed problem in computer vision. To recover a dense flow field, appropriate spatial constraints have to be enforced. Recent advances exploit higher order spatial regularization, and achieve the top performa...
 
Content-based photo quality assessment
Found in: Computer Vision, IEEE International Conference on
By Wei Luo, Xiaogang Wang,Xiaoou Tang
Issue Date:November 2011
pp. 2206-2213
Automatically assessing photo quality from the perspective of visual aesthetics is of great interest in high-level vision research and has drawn much attention in recent years. In this paper, we propose content-based photo quality assessment using regional...
 
Random field topic model for semantic region analysis in crowded scenes from tracklets
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Bolei Zhou, Xiaogang Wang, Xiaoou Tang
Issue Date:June 2011
pp. 3441-3448
In this paper, a Random Field Topic (RFT) model is proposed for semantic region analysis from motions of objects in crowded scenes. Different from existing approaches of learning semantic regions either from optical flows or from complete trajectories, our...
 
Joint face alignment with a generic deformable face model
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Cong Zhao, Wai-Kuen Cham, Xiaogang Wang
Issue Date:June 2011
pp. 561-568
As having multiple images of an object is practically convenient nowadays, to jointly align them is important for subsequent studies and a wide range of applications. In this paper, we propose a model-based approach to jointly align a batch of images of a ...
 
Coupled information-theoretic encoding for face photo-sketch recognition
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Wei Zhang, Xiaogang Wang, Xiaoou Tang
Issue Date:June 2011
pp. 513-520
Automatic face photo-sketch recognition has important applications for law enforcement. Recent research has focused on transforming photos and sketches into the same modality for matching or developing advanced classification algorithms to reduce the modal...
 
Query-specific visual semantic spaces for web image re-ranking
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Xiaogang Wang, Ke Liu, Xiaoou Tang
Issue Date:June 2011
pp. 857-864
Image re-ranking, as an effective way to improve the results of web-based image search, has been adopted by current commercial search engines. Given a query keyword, a pool of images are first retrieved by the search engine based on textual information. By...
 
Research on the Integration of MS Project with KM-PDM and its Application in Enterprises
Found in: Measuring Technology and Mechatronics Automation, International Conference on
By Xiaogang Wang, Yuewei Bai, Chilan Cai, Bao Jiasheng
Issue Date:January 2011
pp. 120-123
This Paper analyses the integration demands of PDM system with MS Project, and elaborates the integration solution of the two software systems, technique crux and realization method. At last introduces the realization and application effect in KMPDM and MS...
 
Study on the Centripetal Effect of a Magnetic Bearing
Found in: Electrical and Control Engineering, International Conference on
By Xiaogang Wang, Bin Mei
Issue Date:June 2010
pp. 2135-2138
The conception of the centripetal effect of a magnetic bearing brings forward. And an experimental measurement method for the centripetal effect of a magnetic bearing is suggested. The existence of the centripetal effect of the magnetic bearing is convince...
 
Parallel Model of Evolutionary Computing Based on Genetic Algorithm
Found in: Wearable Computing Systems, Asia-Pacific Conference on
By Xiaogang Wang, Yan Bai, Yue Li
Issue Date:April 2010
pp. 251-254
In this paper, we propose a Parallel evolutionary computing model, called CLA-EC. This model is a combination of a model called cellular learning automata (CLA) and the evolutionary model. In this new model, each genome is assigned to a cell of cellular le...
 
An Information Retrieval Method Based on Sequential Access Patterns
Found in: Wearable Computing Systems, Asia-Pacific Conference on
By Xiaogang Wang, Yan Bai, Yue Li
Issue Date:April 2010
pp. 247-250
It has become much more difficult to access relevant information from the Web With the explosive growth of information available on the World Wide Web. One of the promising approaches is web usage mining, which mines web logs for user models and recommenda...
 
A Document Retrieval Strategy Based on Non-Relevance Feedback
Found in: Future Information Technology and Management Engineering, International Seminar on
By Xiaogang Wang, Yue Li
Issue Date:December 2009
pp. 214-217
From a large data set of documents, we need to find documents that relate to human interesting. The relevance feedback method needs a set of relevant and non-relevant documents to work usefully. However, the initial retrieved documents, which are displayed...
 
Boosted multi-task learning for face verification with applications to web image and video search
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Xiaogang Wang, Cha Zhang, Zhengyou Zhang
Issue Date:June 2009
pp. 142-149
Face verification has many potential applications including filtering and ranking image/video search results on celebrities. Since these images/videos are taken under uncontrolled environments, the problem is very challenging due to dramatic lighting and p...
 
A novel flow multiplication attack against Tor
Found in: International Conference on Computer Supported Cooperative Work in Design
By Xiaogang Wang, Junzhou Luo, Ming Yang, Zhen Ling
Issue Date:April 2009
pp. 686-691
Tor has become one of the most popular overlay networks for anonymizing TCP traffic. A novel and effective flow multiplication attack against Tor is proposed in this paper, which exploits the fundamental vulnerability of anonymous web browsing by using a m...
 
On Decision Rule Reduct about Evaluation of Hospital Competitive Ability Based on Rough Set Theory
Found in: International Conference on Information Management, Innovation Management and Industrial Engineering
By Li Liqing, Lu Xiaoyong, Zhou Xiaogang, Wang Yunzhu
Issue Date:December 2008
pp. 31-35
The evalutaion of hospital competitiveness becomes an improtant problem in the field of hospital management.But moreover evalutaion indexs and objects will cause the higher expense of evaluation.In this paper, the decision rule reduct of rough set was appl...
 
Correspondence-Free Activity Analysis and Scene Modeling in Multiple Camera Views
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Xiaogang Wang, Kinh Tieu, W. Eric L. Grimson
Issue Date:January 2010
pp. 56-71
We propose a novel approach for activity analysis in multiple synchronized but uncalibrated static camera views. In this paper, we refer to activities as motion patterns of objects, which correspond to paths in far-field scenes. We assume that the topology...
 
Face Photo-Sketch Synthesis and Recognition
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Xiaogang Wang, Xiaoou Tang
Issue Date:November 2009
pp. 1955-1967
In this paper, we propose a novel face photo-sketch synthesis and recognition method using a multiscale Markov Random Fields (MRF) model. Our system has three components: 1) given a face photo, synthesizing a sketch drawing; 2) given a face sketch drawing,...
 
An Adaptive Cross-Layer Scheduling Algorithm for Multimedia Networks
Found in: Intelligent Information Hiding and Multimedia Signal Processing, International Conference on
By Xiuyuan Li, Xiaojuan Wu, Wenming Li, Xiaogang Wang
Issue Date:August 2008
pp. 52-55
Nowadays wireless networks standards, e.g. IEEE 802.16, aim to accommodate diverse QoS requirements for multimedia users. The standard provided four kinds of multimedia data services, associated with QoS parameters and left the QoS scheduling algorithm und...
 
Correspondence-free multi-camera activity analysis and scene modeling
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Xiaogang Wang, Kinh Tieu, W. Eric L. Grimson
Issue Date:June 2008
pp. 1-8
We propose a novel approach for activity analysis in multiple synchronized but uncalibrated static camera views. We assume that the topology of camera views is unknown and quite arbitrary, the fields of views covered by these cameras may have no overlap or...
 
Trajectory analysis and semantic region modeling using a nonparametric Bayesian model
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Xiaogang Wang, Keng Teck Ma, Gee-Wah Ng, W. Eric L. Grimson
Issue Date:June 2008
pp. 1-8
We propose a novel nonparametric Bayesian model, Dual Hierarchical Dirichlet Processes (Dual-HDP), for trajectory analysis and semantic region modeling in surveillance settings, in an unsupervised way. In our approach, trajectories are treated as documents...
 
Unsupervised Activity Perception in Crowded and Complicated Scenes Using Hierarchical Bayesian Models
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Xiaogang Wang, Xiaoxu Ma, W.E.L. Grimson
Issue Date:March 2009
pp. 539-555
We propose a novel unsupervised learning framework to model activities and interactions in crowded and complicated scenes. Hierarchical Bayesian models are used to connect three elements in visual surveillance: low-level visual features, simple
 
Shape and Appearance Context Modeling
Found in: Computer Vision, IEEE International Conference on
By Xiaogang Wang, Gianfranco Doretto, Thomas Sebastian, Jens Rittscher, Peter Tu
Issue Date:October 2007
pp. 1-8
In this work we develop appearance models for computing the similarity between image regions containing deformable objects of a given class in realtime. We introduce the concept of shape and appearance context. The main idea is to model the spatial distrib...
 
Multi-class object tracking algorithm that handles fragmentation and grouping
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Biswajit Bose, Xiaogang Wang, Eric Grimson
Issue Date:June 2007
pp. 1-8
We propose a framework for detecting and tracking multiple interacting objects, while explicitly handling the dual problems of fragmentation (an object may be broken into several blobs) and grouping (multiple objects may appear as a single blob). We use fo...
 
Unsupervised Activity Perception by Hierarchical Bayesian Models
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Xiaogang Wang, Xiaoxu Ma, Eric Grimson
Issue Date:June 2007
pp. 1-8
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian model to connect three elements: low-level visual features, simple
 
Multiple Layer Clustering of Large Software Systems
Found in: Reverse Engineering, Working Conference on
By Bill Andreopoulos, Aijun An, Vassilios Tzerpos, Xiaogang Wang
Issue Date:November 2005
pp. 79-88
<p>Software clustering algorithms presented in the literature rarely incorporate in the clustering process dynamic information, such as the number of function invocations during runtime. Moreover, the structure of a software system is often multi-lay...
 
Subspace Analysis Using Random Mixture Models
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Xiaogang Wang, Xiaoou Tang
Issue Date:June 2005
pp. 574-580
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since they are all based on a single Gaussian model, a global linear subspace often ...
 
A Unified Framework for Subspace Face Recognition
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Xiaogang Wang, Xiaoou Tang
Issue Date:September 2004
pp. 1222-1228
PCA, LDA, and Bayesian analysis are the three most representative subspace face recognition approaches. In this paper, we show that they can be unified under the same framework. We first model face difference with three components: intrinsic difference, tr...
 
Bayesian Face Recognition Based on Gaussian Mixture Models
Found in: Pattern Recognition, International Conference on
By Xiaogang Wang, Xiaoou Tang
Issue Date:August 2004
pp. 142-145
Bayesian analysis is a popular subspace based face recognition method. It casts the face recognition task into a binary classification problem with each of the two classes, intrapersonal variation and extrapersonal variation, modeled as a Gaussian distribu...
 
Random Sampling LDA for Face Recognition
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Xiaogang Wang, Xiaoou Tang
Issue Date:July 2004
pp. 259-265
Linear Discriminant Analysis (LDA) is a popular feature extraction technique for face recognition. However, It often suffers from the small sample size problem when dealing with the high dimensional face data. Fisherface and Null Space LDA (N-LDA) are two ...
 
Dual-Space Linear Discriminant Analysis for Face Recognition
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Xiaogang Wang, Xiaoou Tang
Issue Date:July 2004
pp. 564-569
Linear Discriminant Analysis (LDA) is a popular feature extraction technique for face recognition. However, it often suffers from the small sample size problem when dealing with the high dimensional face data. Some approaches have been proposed to overcome...
 
Using Random Subspace to Combine Multiple Features for Face Recognition
Found in: Automatic Face and Gesture Recognition, IEEE International Conference on
By Xiaogang Wang, Xiaoou Tang
Issue Date:May 2004
pp. 284
LDA is a popular subspace based face recognition approach. However, it often suffers from the small sample size problem. When dealing with the high dimensional face data, the LDA classifier constructed from the small training set is often biased and unstab...
 
Face Sketch Synthesis and Recognition
Found in: Computer Vision, IEEE International Conference on
By Xiaoou Tang, Xiaogang Wang
Issue Date:October 2003
pp. 687
In this paper, we propose a novel face photo retrieval system using sketch drawings. By transforming a photo image into a sketch, we reduce the difference between photo and sketch significantly, thus allow effective matching between the two. To improve the...
 
Unified Subspace Analysis for Face Recognition
Found in: Computer Vision, IEEE International Conference on
By Xiaogang Wang, Xiaoou Tang
Issue Date:October 2003
pp. 679
We propose a face difference model that decomposes face difference into three components, intrinsic difference, transformation difference, and noise. Using the face difference model and a detailed subspace analysis on the three components we develop a unif...
 
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