Chunhua Shen

According to our database1, Chunhua Shen
  • authored at least 294 papers between 2003 and 2017.
  • has a "Dijkstra number"2 of four.

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Bibliography

2017
Discriminative Training of Deep Fully Connected Continuous CRFs With Task-Specific Loss.
IEEE Trans. Image Processing, 2017

Exploiting Depth From Single Monocular Images for Object Detection and Semantic Segmentation.
IEEE Trans. Image Processing, 2017

Part-Based Robust Tracking Using Online Latent Structured Learning.
IEEE Trans. Circuits Syst. Video Techn., 2017

Deep linear discriminant analysis on fisher networks: A hybrid architecture for person re-identification.
Pattern Recognition, 2017

Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition.
Pattern Recognition, 2017

Large-Scale Binary Quadratic Optimization Using Semidefinite Relaxation and Applications.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Structured Learning of Binary Codes with Column Generation for Optimizing Ranking Measures.
International Journal of Computer Vision, 2017

Mining Mid-level Visual Patterns with Deep CNN Activations.
International Journal of Computer Vision, 2017

Structured learning of metric ensembles with application to person re-identification.
Computer Vision and Image Understanding, 2017

Beyond Low Rank: A Data-Adaptive Tensor Completion Method.
CoRR, 2017

Care about you: towards large-scale human-centric visual relationship detection.
CoRR, 2017

Towards Context-aware Interaction Recognition.
CoRR, 2017

Unsupervised Object Discovery and Co-Localization by Deep Descriptor Transforming.
CoRR, 2017

Deep Descriptor Transforming for Image Co-Localization.
CoRR, 2017

Adversarial Generation of Training Examples for Vehicle License Plate Recognition.
CoRR, 2017

Learning Multi-level Region Consistency with Dense Multi-label Networks for Semantic Segmentation.
CoRR, 2017

Weakly Supervised Semantic Segmentation Based on Co-segmentation.
CoRR, 2017

Visually Aligned Word Embeddings for Improving Zero-shot Learning.
CoRR, 2017

Visual Question Answering with Memory-Augmented Networks.
CoRR, 2017

When Unsupervised Domain Adaptation Meets Tensor Representations.
CoRR, 2017

TasselNet: Counting maize tassels in the wild via local counts regression network.
CoRR, 2017

Structured Learning of Tree Potentials in CRF for Image Segmentation.
CoRR, 2017

Towards End-to-end Text Spotting with Convolutional Recurrent Neural Networks.
CoRR, 2017

Relative Depth Order Estimation Using Multi-scale Densely Connected Convolutional Networks.
CoRR, 2017

Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation.
CoRR, 2017

Deep Learning Features at Scale for Visual Place Recognition.
CoRR, 2017

Robust Guided Image Filtering.
CoRR, 2017

Semi-Global Weighted Least Squares in Image Filtering.
CoRR, 2017

Deep Descriptor Transforming for Image Co-Localization.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Explicit Knowledge-based Reasoning for Visual Question Answering.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Learning Multi-level Region Consistency with Dense Multi-label Networks for Semantic Segmentation.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Deep learning features at scale for visual place recognition.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
Scalable Linear Visual Feature Learning via Online Parallel Nonnegative Matrix Factorization.
IEEE Trans. Neural Netw. Learning Syst., 2016

Fast Detection of Multiple Objects in Traffic Scenes With a Common Detection Framework.
IEEE Trans. Intelligent Transportation Systems, 2016

Dictionary Learning for Promoting Structured Sparsity in Hyperspectral Compressive Sensing.
IEEE Trans. Geoscience and Remote Sensing, 2016

Face image classification by pooling raw features.
Pattern Recognition, 2016

Face recognition using linear representation ensembles.
Pattern Recognition, 2016

Pedestrian Detection with Spatially Pooled Features and Structured Ensemble Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

A Generalized Probabilistic Framework for Compact Codebook Creation.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Online Metric-Weighted Linear Representations for Robust Visual Tracking.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Canonical principal angles correlation analysis for two-view data.
J. Visual Communication and Image Representation, 2016

Online unsupervised feature learning for visual tracking.
Image Vision Comput., 2016

Unsupervised Feature Learning for Dense Correspondences Across Scenes.
International Journal of Computer Vision, 2016

Efficient Semidefinite Branch-and-Cut for MAP-MRF Inference.
International Journal of Computer Vision, 2016

Fast Training of Triplet-based Deep Binary Embedding Networks.
CoRR, 2016

Attend in groups: a weakly-supervised deep learning framework for learning from web data.
CoRR, 2016

Multi-Label Image Classification with Regional Latent Semantic Dependencies.
CoRR, 2016

Visual Question Answering: A Survey of Methods and Datasets.
CoRR, 2016

Image Captioning and Visual Question Answering Based on Attributes and Their Related External Knowledge.
CoRR, 2016

Wider or Deeper: Revisiting the ResNet Model for Visual Recognition.
CoRR, 2016

Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach.
CoRR, 2016

Deep Linear Discriminant Analysis on Fisher Networks: A Hybrid Architecture for Person Re-identification.
CoRR, 2016

Bridging Category-level and Instance-level Semantic Image Segmentation.
CoRR, 2016

High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks.
CoRR, 2016

PersonNet: Person Re-identification with Deep Convolutional Neural Networks.
CoRR, 2016

FVQA: Fact-based Visual Question Answering.
CoRR, 2016

The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions.
CoRR, 2016

Order-aware Convolutional Pooling for Video Based Action Recognition.
CoRR, 2016

Hi Detector, What's Wrong with that Object? Identifying Irregular Object From Images by Modelling the Detection Score Distribution.
CoRR, 2016

Crowd Counting via Weighted VLAD on Dense Attribute Feature Maps.
CoRR, 2016

Less is more: zero-shot learning from online textual documents with noise suppression.
CoRR, 2016

Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections.
CoRR, 2016

Image Denoising Using Very Deep Fully Convolutional Encoder-Decoder Networks with Symmetric Skip Connections.
CoRR, 2016

Compositional Model based Fisher Vector Coding for Image Classification.
CoRR, 2016

Discriminative Training of Deep Fully-connected Continuous CRF with Task-specific Loss.
CoRR, 2016

Exploring Context with Deep Structured models for Semantic Segmentation.
CoRR, 2016

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation.
CoRR, 2016

Structured Learning of Binary Codes with Column Generation.
CoRR, 2016

Reading Car License Plates Using Deep Convolutional Neural Networks and LSTMs.
CoRR, 2016

Sequential Person Recognition in Photo Albums with a Recurrent Network.
CoRR, 2016

Image Co-localization by Mimicking a Good Detector's Confidence Score Distribution.
CoRR, 2016

Pushing the Limits of Deep CNNs for Pedestrian Detection.
CoRR, 2016

From Motion Blur to Motion Flow: a Deep Learning Solution for Removing Heterogeneous Motion Blur.
CoRR, 2016

Unsupervised Feature Learning With Symmetrically Connected Convolutional Denoising Auto-encoders.
CoRR, 2016

Estimating Depth from Monocular Images as Classification Using Deep Fully Convolutional Residual Networks.
CoRR, 2016

Exploiting Depth from Single Monocular Images for Object Detection and Semantic Segmentation.
CoRR, 2016

Where to Focus: Query Adaptive Matching for Instance Retrieval Using Convolutional Feature Maps.
CoRR, 2016

Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Cluster Sparsity Field for Hyperspectral Imagery Denoising.
Proceedings of the Computer Vision - ECCV 2016, 2016

Image Co-localization by Mimicking a Good Detector's Confidence Score Distribution.
Proceedings of the Computer Vision - ECCV 2016, 2016

SLNSW-UTS: A Historical Image Dataset for Image Multi-Labeling and Retrieval.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

Fast Training of Triplet-Based Deep Binary Embedding Networks.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Ask Me Anything: Free-Form Visual Question Answering Based on Knowledge from External Sources.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

What Value Do Explicit High Level Concepts Have in Vision to Language Problems?
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

What's Wrong with That Object? Identifying Images of Unusual Objects by Modelling the Detection Score Distribution.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Less is More: Zero-Shot Learning from Online Textual Documents with Noise Suppression.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Hashing on Nonlinear Manifolds.
IEEE Trans. Image Processing, 2015

A Computational Model of the Short-Cut Rule for 2D Shape Decomposition.
IEEE Trans. Image Processing, 2015

Worst Case Linear Discriminant Analysis as Scalable Semidefinite Feasibility Problems.
IEEE Trans. Image Processing, 2015

CRF learning with CNN features for image segmentation.
Pattern Recognition, 2015

Supervised Hashing Using Graph Cuts and Boosted Decision Trees.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds.
International Journal of Computer Vision, 2015

Unsupervised Feature Learning for Dense Correspondences across Scenes.
CoRR, 2015

Ask Me Anything: Free-form Visual Question Answering Based on Knowledge from External Sources.
CoRR, 2015

Image Captioning with an Intermediate Attributes Layer.
CoRR, 2015

Explicit Knowledge-based Reasoning for Visual Question Answering.
CoRR, 2015

Efficient SDP Inference for Fully-connected CRFs Based on Low-rank Decomposition.
CoRR, 2015

Temporal Pyramid Pooling Based Convolutional Neural Networks for Action Recognition.
CoRR, 2015

Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition.
CoRR, 2015

Structured learning of metric ensembles with application to person re-identification.
CoRR, 2015

Learning to rank in person re-identification with metric ensembles.
CoRR, 2015

Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields.
CoRR, 2015

Cross-convolutional-layer Pooling for Generic Visual Recognition.
CoRR, 2015

CRF Learning with CNN Features for Image Segmentation.
CoRR, 2015

Data Driven Robust Image Guided Depth Map Restoration.
CoRR, 2015

Deeply Learning the Messages in Message Passing Inference.
CoRR, 2015

Efficient piecewise training of deep structured models for semantic segmentation.
CoRR, 2015

Online Metric-Weighted Linear Representations for Robust Visual Tracking.
CoRR, 2015

Mining Mid-level Visual Patterns with Deep CNN Activations.
CoRR, 2015

Fast detection of multiple objects in traffic scenes with a common detection framework.
CoRR, 2015

Deeply Learning the Messages in Message Passing Inference.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Hyperspectral Compressive Sensing Using Manifold-Structured Sparsity Prior.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Efficient SDP inference for fully-connected CRFs based on low-rank decomposition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Learning graph structure for multi-label image classification via clique generation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Supervised Discrete Hashing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Learning to rank in person re-identification with metric ensembles.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Sequence searching with deep-learnt depth for condition- and viewpoint-invariant route-based place recognition.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

Deep convolutional neural fields for depth estimation from a single image.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

The treasure beneath convolutional layers: Cross-convolutional-layer pooling for image classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Depth and surface normal estimation from monocular images using regression on deep features and hierarchical CRFs.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Mid-level deep pattern mining.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Semidefinite Programming.
Computer Vision, A Reference Guide, 2014

Efficient Dual Approach to Distance Metric Learning.
IEEE Trans. Neural Netw. Learning Syst., 2014

RandomBoost: Simplified Multiclass Boosting Through Randomization.
IEEE Trans. Neural Netw. Learning Syst., 2014

Asymmetric Pruning for Learning Cascade Detectors.
IEEE Trans. Multimedia, 2014

Context-Aware Hypergraph Construction for Robust Spectral Clustering.
IEEE Trans. Knowl. Data Eng., 2014

Multiple Kernel Learning in the Primal for Multimodal Alzheimer's Disease Classification.
IEEE J. Biomedical and Health Informatics, 2014

Efficient Semidefinite Spectral Clustering via Lagrange Duality.
IEEE Trans. Image Processing, 2014

Large-Margin Learning of Compact Binary Image Encodings.
IEEE Trans. Image Processing, 2014

Characterness: An Indicator of Text in the Wild.
IEEE Trans. Image Processing, 2014

Multiple kernel clustering based on centered kernel alignment.
Pattern Recognition, 2014

A Hierarchical Word-Merging Algorithm with Class Separability Measure.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

StructBoost: Boosting Methods for Predicting Structured Output Variables.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Fast approximate L minimization: Speeding up robust regression.
Computational Statistics & Data Analysis, 2014

Efficient Semidefinite Spectral Clustering via Lagrange Duality.
CoRR, 2014

Efficient Semidefinite Branch-and-Cut for MAP-MRF Inference.
CoRR, 2014

Large-scale Binary Quadratic Optimization Using Semidefinite Relaxation and Applications.
CoRR, 2014

Hashing on Nonlinear Manifolds.
CoRR, 2014

Face Identification with Second-Order Pooling.
CoRR, 2014

Face Image Classification by Pooling Raw Features.
CoRR, 2014

From Kernel Machines to Ensemble Learning.
CoRR, 2014

Pedestrian Detection with Spatially Pooled Features and Structured Ensemble Learning.
CoRR, 2014

Strengthening the Effectiveness of Pedestrian Detection with Spatially Pooled Features.
CoRR, 2014

Large-margin Learning of Compact Binary Image Encodings.
CoRR, 2014

A Computational Model of the Short-Cut Rule for 2D Shape Decomposition.
CoRR, 2014

A Generalized Probabilistic Framework for Compact Codebook Creation.
CoRR, 2014

Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors.
CoRR, 2014

Deep Convolutional Neural Fields for Depth Estimation from a Single Image.
CoRR, 2014

The Treasure beneath Convolutional Layers: Cross-convolutional-layer Pooling for Image Classification.
CoRR, 2014

Optimizing Ranking Measures for Compact Binary Code Learning.
CoRR, 2014

Fast Supervised Hashing with Decision Trees for High-Dimensional Data.
CoRR, 2014

Supervised Hashing Using Graph Cuts and Boosted Decision Trees.
CoRR, 2014

Worst-Case Linear Discriminant Analysis as Scalable Semidefinite Feasibility Problems.
CoRR, 2014

Mid-level Deep Pattern Mining.
CoRR, 2014

Context-Aware Hypergraph Construction for Robust Spectral Clustering.
CoRR, 2014

Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds.
CoRR, 2014

Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Strengthening the Effectiveness of Pedestrian Detection with Spatially Pooled Features.
Proceedings of the Computer Vision - ECCV 2014, 2014

Optimizing Ranking Measures for Compact Binary Code Learning.
Proceedings of the Computer Vision - ECCV 2014, 2014

Fast Supervised Hashing with Decision Trees for High-Dimensional Data.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Shape Similarity Analysis by Self-Tuning Locally Constrained Mixed-Diffusion.
IEEE Trans. Multimedia, 2013

A survey of appearance models in visual object tracking.
ACM TIST, 2013

Approximate Least Trimmed Sum of Squares Fitting and Applications in Image Analysis.
IEEE Trans. Image Processing, 2013

Visual Tracking With Spatio-Temporal Dempster-Shafer Information Fusion.
IEEE Trans. Image Processing, 2013

Incremental Learning of 3D-DCT Compact Representations for Robust Visual Tracking.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Fully corrective boosting with arbitrary loss and regularization.
Neural Networks, 2013

Training Effective Node Classifiers for Cascade Classification.
International Journal of Computer Vision, 2013

Fast Approximate L_infty Minimization: Speeding Up Robust Regression
CoRR, 2013

A Fast Semidefinite Approach to Solving Binary Quadratic Problems
CoRR, 2013

Inductive Hashing on Manifolds
CoRR, 2013

Asymmetric Pruning for Learning Cascade Detectors
CoRR, 2013

A Survey of Appearance Models in Visual Object Tracking
CoRR, 2013

Learning Hash Functions Using Column Generation
CoRR, 2013

StructBoost: Boosting Methods for Predicting Structured Output Variables
CoRR, 2013

An Efficient Dual Approach to Distance Metric Learning
CoRR, 2013

RandomBoost: Simplified Multi-class Boosting through Randomization
CoRR, 2013

Training Effective Node Classifiers for Cascade Classification
CoRR, 2013

Constraint Reduction using Marginal Polytope Diagrams for MAP LP Relaxations.
CoRR, 2013

Generic Image Classification Approaches Excel on Face Recognition.
CoRR, 2013

Efficient pedestrian detection by directly optimize the partial area under the ROC curve.
CoRR, 2013

A scalable stage-wise approach to large-margin multi-class loss based boosting.
CoRR, 2013

Multiple Kernel Learning in the Primal for Multi-modal Alzheimer's Disease Classification.
CoRR, 2013

Online Unsupervised Feature Learning for Visual Tracking.
CoRR, 2013

A General Two-Step Approach to Learning-Based Hashing.
CoRR, 2013

Fast Training of Effective Multi-class Boosting Using Coordinate Descent Optimization.
CoRR, 2013

Contextual Hypergraph Modelling for Salient Object Detection.
CoRR, 2013

Characterness: An Indicator of Text in the Wild.
CoRR, 2013

Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution.
CoRR, 2013

Learning Hash Functions Using Column Generation.
Proceedings of the 30th International Conference on Machine Learning, 2013

Extended depth-of-field via focus stacking and graph cuts.
Proceedings of the IEEE International Conference on Image Processing, 2013

Approximate constraint generation for efficient structured boosting.
Proceedings of the IEEE International Conference on Image Processing, 2013

Leveraging surrounding context for scene text detection.
Proceedings of the IEEE International Conference on Image Processing, 2013

Efficient Pedestrian Detection by Directly Optimizing the Partial Area under the ROC Curve.
Proceedings of the IEEE International Conference on Computer Vision, 2013

A General Two-Step Approach to Learning-Based Hashing.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Contextual Hypergraph Modeling for Salient Object Detection.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Part-Based Visual Tracking with Online Latent Structural Learning.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Bilinear Programming for Human Activity Recognition with Unknown MRF Graphs.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

A Fast Semidefinite Approach to Solving Binary Quadratic Problems.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Inductive Hashing on Manifolds.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Learning Compact Binary Codes for Visual Tracking.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Fast and Robust Object Detection Using Asymmetric Totally Corrective Boosting.
IEEE Trans. Neural Netw. Learning Syst., 2012

UBoost: Boosting with the Universum.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Positive Semidefinite Metric Learning Using Boosting-like Algorithms.
Journal of Machine Learning Research, 2012

A Direct Approach to Multi-class Boosting and Extensions
CoRR, 2012

Incremental Learning of 3D-DCT Compact Representations for Robust Visual Tracking
CoRR, 2012

Is margin preserved after random projection?
CoRR, 2012

Non-sparse Linear Representations for Visual Tracking with Online Reservoir Metric Learning
CoRR, 2012

Is margin preserved after random projection?.
Proceedings of the 29th International Conference on Machine Learning, 2012

Robust Tracking with Weighted Online Structured Learning.
Proceedings of the Computer Vision - ECCV 2012, 2012

Sharing features in multi-class boosting via group sparsity.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Non-sparse linear representations for visual tracking with online reservoir metric learning.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Fast Training of Effective Multi-class Boosting Using Coordinate Descent Optimization.
Proceedings of the Computer Vision, 2012

2011
Efficiently Learning a Detection Cascade With Sparse Eigenvectors.
IEEE Trans. Image Processing, 2011

Incremental Training of a Detector Using Online Sparse Eigendecomposition.
IEEE Trans. Image Processing, 2011

Face Recognition using Optimal Representation Ensemble
CoRR, 2011

Positive Semidefinite Metric Learning Using Boosting-like Algorithms
CoRR, 2011

Graph mode-based contextual kernels for robust SVM tracking.
Proceedings of the IEEE International Conference on Computer Vision, 2011

On the Optimality of Sequential Forward Feature Selection Using Class Separability Measure.
Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

Laplacian Margin Distribution Boosting for Learning from Sparsely Labeled Data.
Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

Is face recognition really a Compressive Sensing problem?
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

A scalable dual approach to semidefinite metric learning.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

A direct formulation for totally-corrective multi-class boosting.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

A generalized probabilistic framework for compact codebook creation.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Real-time visual tracking using compressive sensing.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Efficiently Learning a Distance Metric for Large Margin Nearest Neighbor Classification.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Feature selection with redundancy-constrained class separability.
IEEE Trans. Neural Networks, 2010

Boosting through optimization of margin distributions.
IEEE Trans. Neural Networks, 2010

Scalable large-margin Mahalanobis distance metric learning.
IEEE Trans. Neural Networks, 2010

Generalized Kernel-Based Visual Tracking.
IEEE Trans. Circuits Syst. Video Techn., 2010

On the Dual Formulation of Boosting Algorithms.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Interactive color image segmentation with linear programming.
Mach. Vis. Appl., 2010

Real-time Visual Tracking Using Sparse Representation
CoRR, 2010

Face Detection with Effective Feature Extraction
CoRR, 2010

Totally Corrective Multiclass Boosting with Binary Weak Learners
CoRR, 2010

Asymmetric Totally-corrective Boosting for Real-time Object Detection
CoRR, 2010

Effective Pedestrian Detection Using Center-symmetric Local Binary/Trinary Patterns
CoRR, 2010

Optimally Training a Cascade Classifier
CoRR, 2010

Incremental Training of a Detector Using Online Sparse Eigen-decomposition
CoRR, 2010

LACBoost and FisherBoost: Optimally Building Cascade Classifiers
CoRR, 2010

Scalable Large-Margin Mahalanobis Distance Metric Learning
CoRR, 2010

Hippocampal Shape Classification Using Redundancy Constrained Feature Selection.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Pedestrian Detection Using Center-Symmetric Local Binary Patterns.
Proceedings of the International Conference on Image Processing, 2010

Improved human detection and classification in thermal images.
Proceedings of the International Conference on Image Processing, 2010

Training a multi-exit cascade with linear asymmetric classification for efficient object detection.
Proceedings of the International Conference on Image Processing, 2010

LACBoost and FisherBoost: Optimally Building Cascade Classifiers.
Proceedings of the Computer Vision, 2010

Robust Face Recognition via Accurate Face Alignment and Sparse Representation.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2010

Rapid face recognition using hashing.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Pyramid Center-Symmetric Local Binary/Trinary Patterns for Effective Pedestrian Detection.
Proceedings of the Computer Vision - ACCV 2010, 2010

Asymmetric Totally-Corrective Boosting for Real-Time Object Detection.
Proceedings of the Computer Vision - ACCV 2010, 2010

Face Detection with Effective Feature Extraction.
Proceedings of the Computer Vision - ACCV 2010, 2010

Totally-Corrective Multi-class Boosting.
Proceedings of the Computer Vision - ACCV 2010, 2010

2009
Positive Semidefinite Metric Learning with Boosting
CoRR, 2009

Generalized Kernel-based Visual Tracking
CoRR, 2009

Boosting through Optimization of Margin Distributions
CoRR, 2009

Efficiently Learning a Detection Cascade with Sparse Eigenvectors
CoRR, 2009

A Duality View of Boosting Algorithms
CoRR, 2009

Positive Semidefinite Metric Learning with Boosting.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

An overview of fast pedestrian detection: Feature selection and cascade framework of boosted features.
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009

A Two-Layer Night-Time Vehicle Detector.
Proceedings of the DICTA 2009, 2009

Smooth Approximation of L_infinity-Norm for Multi-view Geometry.
Proceedings of the DICTA 2009, 2009

Efficiently training a better visual detector with sparse eigenvectors.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

A Variant of the Trace Quotient Formulation for Dimensionality Reduction.
Proceedings of the Computer Vision, 2009

A Scalable Algorithm for Learning a Mahalanobis Distance Metric.
Proceedings of the Computer Vision, 2009

2008
Fast Pedestrian Detection Using a Cascade of Boosted Covariance Features.
IEEE Trans. Circuits Syst. Video Techn., 2008

Supervised dimensionality reduction via sequential semidefinite programming.
Pattern Recognition, 2008

PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

An experimental study on pedestrian classification using local features.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008

Face detection from few training examples.
Proceedings of the International Conference on Image Processing, 2008

A Fast Algorithm for Creating a Compact and Discriminative Visual Codebook.
Proceedings of the Computer Vision, 2008

Self-Calibrating Cameras Using Semidefinite Programming.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2008

Multi-view Human Motion Capture with an Improved Deformation Skin Model.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2008

Boosting the Minimum Margin: LPBoost vs. AdaBoost.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2008

Learning Cascaded Reduced-Set SVMs Using Linear Programming.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2008

2007
Fast Global Kernel Density Mode Seeking: Applications to Localization and Tracking.
IEEE Trans. Image Processing, 2007

Adaptive Object Tracking Based on an Effective Appearance Filter.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

Object-Respecting Color Image Segmentation.
Proceedings of the International Conference on Image Processing, 2007

Feature Extraction Using Sequential Semidefinite Programming.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2007

An Experimental Evaluation of Local Features for Pedestrian Classification.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2007

Color Image Labelling Using Linear Programming.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2007

Kernel-based Tracking from a Probabilistic Viewpoint.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

A Convex Programming Approach to the Trace Quotient Problem.
Proceedings of the Computer Vision, 2007

2006
Classification-Based Likelihood Functions for Bayesian Tracking.
Proceedings of the Advanced Video and Signal Based Surveillance, 2006

Enhanced Kernel-Based Tracking for Monochromatic and Thermographic Video.
Proceedings of the Advanced Video and Signal Based Surveillance, 2006

An LMI Approach for Reliable PTZ Camera Self-Calibration.
Proceedings of the Advanced Video and Signal Based Surveillance, 2006

2005
Adaptive over-relaxed mean shift.
Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005

Visual tracking via efficient kernel discriminant subspace learning.
Proceedings of the 2005 International Conference on Image Processing, 2005

Augmented particle filtering for efficient visual tracking.
Proceedings of the 2005 International Conference on Image Processing, 2005

Fast Global Kernel Density Mode Seeking with Application to Localisation and Tracking.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

2004
Enhanced Importance Sampling: Unscented Auxiliary Particle Filtering for Visual Tracking.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

2D Articulated Tracking with Dynamic Bayesian Networks.
Proceedings of the 2004 International Conference on Computer and Information Technology (CIT 2004), 2004

2003
Probabilistic Multiple Cue Integration for Particle Filter Based Tracking.
Proceedings of the Seventh International Conference on Digital Image Computing: Techniques and Applications, 2003


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