Anton van den Hengel

According to our database1, Anton van den Hengel authored at least 276 papers between 1998 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Learning to Zoom-In via Learning to Zoom-Out: Real-World Super-Resolution by Generating and Adapting Degradation.
IEEE Trans. Image Process., 2021

Deep Learning for Anomaly Detection: A Review.
ACM Comput. Surv., 2021

Dynamic Convolution for 3D Point Cloud Instance Segmentation.
CoRR, 2021

Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization.
CoRR, 2021

Know What and Know Where: An Object-and-Room Informed Sequential BERT for Indoor Vision-Language Navigation.
CoRR, 2021

Learning for Visual Navigation by Imagining the Success.
CoRR, 2021

Reasoning over Vision and Language: Exploring the Benefits of Supplemental Knowledge.
CoRR, 2021

Human-AI Interactive and Continuous Sensemaking: A Case Study of Image Classification using Scribble Attention Maps.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020
Accurate Tensor Completion via Adaptive Low-Rank Representation.
IEEE Trans. Neural Networks Learn. Syst., 2020

Learning Deep Gradient Descent Optimization for Image Deconvolution.
IEEE Trans. Neural Networks Learn. Syst., 2020

Scripted Video Generation With a Bottom-Up Generative Adversarial Network.
IEEE Trans. Image Process., 2020

Towards Effective Deep Embedding for Zero-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol., 2020

Multi-way backpropagation for training compact deep neural networks.
Neural Networks, 2020

Adaptive Importance Learning for Improving Lightweight Image Super-Resolution Network.
Int. J. Comput. Vis., 2020

GADE: A Generative Adversarial Approach to Density Estimation and its Applications.
Int. J. Comput. Vis., 2020

Deep Multi-task Learning for Depression Detection and Prediction in Longitudinal Data.
CoRR, 2020

DyCo3D: Robust Instance Segmentation of 3D Point Clouds through Dynamic Convolution.
CoRR, 2020

Deep Reinforcement Learning for Unknown Anomaly Detection.
CoRR, 2020

Structured Multimodal Attentions for TextVQA.
CoRR, 2020

Visual Question Answering with Prior Class Semantics.
CoRR, 2020

Unshuffling Data for Improved Generalization.
CoRR, 2020

On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Counterfactual Vision-and-Language Navigation: Unravelling the Unseen.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Medical Data Inquiry Using a Question Answering Model.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision.
Proceedings of the Computer Vision - ECCV 2020, 2020

Object-and-Action Aware Model for Visual Language Navigation.
Proceedings of the Computer Vision - ECCV 2020, 2020

REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Self-Trained Deep Ordinal Regression for End-to-End Video Anomaly Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Counterfactual Vision and Language Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Gold Seeker: Information Gain From Policy Distributions for Goal-Oriented Vision-and-Langauge Reasoning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

AIML at VQA-Med 2020: Knowledge Inference via a Skeleton-based Sentence Mapping Approach for Medical Domain Visual Question Answering.
Proceedings of the Working Notes of CLEF 2020, 2020

V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
MPTV: Matching Pursuit-Based Total Variation Minimization for Image Deconvolution.
IEEE Trans. Image Process., 2019

Unsupervised Domain Adaptation Using Robust Class-Wise Matching.
IEEE Trans. Circuits Syst. Video Technol., 2019

Wider or Deeper: Revisiting the ResNet Model for Visual Recognition.
Pattern Recognit., 2019

Accurate imagery recovery using a multi-observation patch model.
Inf. Sci., 2019

Weakly-supervised Deep Anomaly Detection with Pairwise Relation Learning.
CoRR, 2019

REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs.
CoRR, 2019

On Incorporating Semantic Prior Knowlegde in Deep Learning Through Embedding-Space Constraints.
CoRR, 2019

An Effective Two-Branch Model-Based Deep Network for Single Image Deraining.
CoRR, 2019

RERERE: Remote Embodied Referring Expressions in Real indoor Environments.
CoRR, 2019

Watch, Reason and Code: Learning to Represent Videos Using Program.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Deep Anomaly Detection with Deviation Networks.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

End-To-End Diagnosis And Segmentation Learning From Cardiac Magnetic Resonance Imaging.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Reinforcement Learning with Attention that Works: A Self-Supervised Approach.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Attention-Guided Network for Ghost-Free High Dynamic Range Imaging.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Actively Seeking and Learning From Live Data.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Generative Adversarial Density Estimator.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Visual Question Answering as Reading Comprehension.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Neighbourhood Watch: Referring Expression Comprehension via Language-Guided Graph Attention Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
An Embarrassingly Simple Approach to Visual Domain Adaptation.
IEEE Trans. Image Process., 2018

Pushing the Limits of Deep CNNs for Pedestrian Detection.
IEEE Trans. Circuits Syst. Video Technol., 2018

Image Captioning and Visual Question Answering Based on Attributes and External Knowledge.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

FVQA: Fact-Based Visual Question Answering.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Exploring Context with Deep Structured Models for Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Cluster Sparsity Field: An Internal Hyperspectral Imagery Prior for Reconstruction.
Int. J. Comput. Vis., 2018

An Active Information Seeking Model for Goal-oriented Vision-and-Language Tasks.
CoRR, 2018

Neighbourhood Watch: Referring Expression Comprehension via Language-guided Graph Attention Networks.
CoRR, 2018

Learning an Optimizer for Image Deconvolution.
CoRR, 2018

Discriminative Clustering of High-Dimensional Data Using Generative Modeling.
Proceedings of the IEEE 61st International Midwest Symposium on Circuits and Systems, 2018

Goal-Oriented Visual Question Generation via Intermediate Rewards.
Proceedings of the Computer Vision - ECCV 2018, 2018

Visual Question Answering as a Meta Learning Task.
Proceedings of the Computer Vision - ECCV 2018, 2018

Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Are You Talking to Me? Reasoned Visual Dialog Generation Through Adversarial Learning.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Tips and Tricks for Visual Question Answering: Learnings From the 2017 Challenge.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Visual Question Answering With Memory-Augmented Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Active Learning from Noisy Tagged Images.
Proceedings of the British Machine Vision Conference 2018, 2018

HCVRD: A Benchmark for Large-Scale Human-Centered Visual Relationship Detection.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

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

Visual Question Answering: A Tutorial.
IEEE Signal Process. Mag., 2017

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

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

A hierarchical model for recognizing alarming states in a batteryless sensor alarm intervention for preventing falls in older people.
Pervasive Mob. Comput., 2017

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

Compositional Model Based Fisher Vector Coding for Image Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Cross-Convolutional-Layer Pooling for Image Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

<i>JFR</i> Special Issue on Agricultural Robotics.
J. Field Robotics, 2017

Mining Mid-level Visual Patterns with Deep CNN Activations.
Int. J. Comput. Vis., 2017

Visual question answering: A survey of methods and datasets.
Comput. Vis. Image Underst., 2017

Structured learning of metric ensembles with application to person re-identification.
Comput. Vis. Image Underst., 2017

Real-time Semantic Image Segmentation via Spatial Sparsity.
CoRR, 2017

Asking the Difficult Questions: Goal-Oriented Visual Question Generation via Intermediate Rewards.
CoRR, 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

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

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

Bayesian Conditional Generative Adverserial Networks.
CoRR, 2017

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

When Unsupervised Domain Adaptation Meets Tensor Representations.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Self-Paced Kernel Estimation for Robust Blind Image Deblurring.
Proceedings of the IEEE International Conference on Computer Vision, 2017

The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Multi-attention Network for One Shot Learning.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Graph-Structured Representations for Visual Question Answering.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Sequential Person Recognition in Photo Albums with a Recurrent Network.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Infinite Variational Autoencoder for Semi-Supervised Learning.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Large-Scale Camera Network Topology Estimation by Lighting Variation.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2017

Solving Constrained Combinatorial Optimisation Problems via MAP Inference without High-Order Penalties.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

MPGL: An Efficient Matching Pursuit Method for Generalized LASSO.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Fast Detection of Multiple Objects in Traffic Scenes With a Common Detection Framework.
IEEE Trans. Intell. Transp. Syst., 2016

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

Semantic Labeling of Aerial and Satellite Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Effectiveness of a Batteryless and Wireless Wearable Sensor System for Identifying Bed and Chair Exits in Healthy Older People.
Sensors, 2016

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

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

Efficient Semidefinite Branch-and-Cut for MAP-MRF Inference.
Int. J. Comput. Vis., 2016

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

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

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

Learning from Imbalanced Multiclass Sequential Data Streams Using Dynamically Weighted Conditional Random Fields.
CoRR, 2016

Zero-Shot Visual Question Answering.
CoRR, 2016

The Shallow End: Empowering Shallower Deep-Convolutional Networks through Auxiliary Outputs.
CoRR, 2016

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

Pairwise Matching through Max-Weight Bipartite Belief Propagation.
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

Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization.
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

Blind Image Deconvolution by Automatic Gradient Activation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

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

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

A Hybrid Loss for Multiclass and Structured Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

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

Enforcing consistency constraints in uncalibrated multiple homography estimation using latent variables.
Mach. Vis. Appl., 2015

Guaranteed Ellipse Fitting with a Confidence Region and an Uncertainty Measure for Centre, Axes, and Orientation.
J. Math. Imaging Vis., 2015

Image Captioning with an Intermediate Attributes Layer.
CoRR, 2015

Scalable Nuclear-norm Minimization by Subspace Pursuit Proximal Riemannian Gradient.
CoRR, 2015

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

Image-Based Recommendations on Styles and Substitutes.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

Camera Network Topology Estimation by Lighting Variation.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

A Study of the Region Covariance Descriptor: Impact of Feature Selection and Image Transformations.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 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

Robust multiple homography estimation: An ill-solved problem.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Effective semantic pixel labelling with convolutional networks and Conditional Random Fields.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

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

Part-based modelling of compound scenes from images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Large-Scale Camera Topology Mapping: Application to Re-identification.
Proceedings of the Person Re-Identification, 2014

Semidefinite Programming.
Computer Vision, A Reference Guide, 2014

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

RandomBoost: Simplified Multiclass Boosting Through Randomization.
IEEE Trans. Neural Networks Learn. Syst., 2014

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

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

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

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

Sampson distance based joint estimation of multiple homographies with uncalibrated cameras.
Comput. Vis. Image Underst., 2014

Fast approximate L<sub>∞</sub> minimization: Speeding up robust regression.
Comput. Stat. Data Anal., 2014

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

Deconstruction of compound objects from image sets.
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

A Model-Based Approach to Recovering the Structure of a Plant from Images.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Strengthening the Effectiveness of Pedestrian Detection with Spatially Pooled Features.
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

A relaxation method to articulated trajectory reconstruction from monocular image sequence.
Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014

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

A survey of appearance models in visual object tracking.
ACM Trans. Intell. Syst. Technol., 2013

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

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

Spatially aware feature selection and weighting for object retrieval.
Image Vis. Comput., 2013

Training Effective Node Classifiers for Cascade Classification.
Int. J. Comput. Vis., 2013

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

An Efficient Dual Approach to Distance Metric Learning
CoRR, 2013

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

Constraint Reduction using Marginal Polytope Diagrams for MAP LP Relaxations.
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

Contextual Hypergraph Modelling for Salient Object Detection.
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

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
Boosting Object Retrieval With Group Queries.
IEEE Signal Process. Lett., 2012

Efficient Computation of Robust Weighted Low-Rank Matrix Approximations Using the L_1 Norm.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Positive Semidefinite Metric Learning Using Boosting-like Algorithms.
J. Mach. Learn. Res., 2012

A Direct Approach to Multi-class Boosting and Extensions
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

Guaranteed Ellipse Fitting with the Sampson Distance.
Proceedings of the Computer Vision - ECCV 2012, 2012

A Comparison of Ellipse Fitting Methods and Implications for Multiple-View Geometry Estimation.
Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 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
Toward a Digital Ecosystem: International Symposium on Ubiquitous Virtual Reality 2010.
IEEE Pervasive Comput., 2011

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

A dimensionality result for multiple homography matrices.
Proceedings of the IEEE International Conference on Computer Vision, 2011

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

2010
Optimally Training a Cascade Classifier
CoRR, 2010

Interactive modelling for AR applications.
Proceedings of the 9th IEEE International Symposium on Mixed and Augmented Reality, 2010

Multiple Homography Estimation with Full Consistency Constraints.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2010

Image Retrieval with a Visual Thesaurus.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2010

Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1 norm.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
SecondSkin: An interactive method for appearance transfer.
Comput. Graph. Forum, 2009

Automatic camera placement for large scale surveillance networks.
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2009), 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

In situ image-based modeling.
Proceedings of the Science & Technology Proceedings, 2009

A framework for determining overlap in large scale networks.
Proceedings of the Third ACM/IEEE International Conference on Distributed Smart Cameras, 2009

Surprisal-aware scheduling of PTZ cameras.
Proceedings of the Third ACM/IEEE International Conference on Distributed Smart Cameras, 2009

Optimization on the manifold of multiple homographies.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Measuring Latency for Video Surveillance Systems.
Proceedings of the DICTA 2009, 2009

Multi-projective Parameter Estimation for Sets of Homogeneous Matrices.
Proceedings of the DICTA 2009, 2009

Contradiction and Correlation for Camera Overlap Estimation.
Proceedings of the Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance, 2009

2008
Middleware for Distributed Video Surveillance.
IEEE Distributed Syst. Online, 2008

Empirical evaluation of the exclusion approach to estimating camera overlap.
Proceedings of the 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras, 2008

Estimating camera overlap in large and growing networks.
Proceedings of the 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras, 2008

Searching in space and time: a system for forensic analysis of large video repositories.
Proceedings of the 1st International ICST Conference on Forensic Applications and Techniques in Telecommunications, 2008

2007
VideoTrace: rapid interactive scene modelling from video.
ACM Trans. Graph., 2007

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

An Adaptive Bayesian Technique for Tracking Multiple Objects.
Proceedings of the Pattern Recognition and Machine Intelligence, 2007

Topology Estimation for Thousand-Camera Surveillance Networks.
Proceedings of the 2007 First ACM/IEEE International Conference on Distributed Smart Cameras, 2007

A shape hierarchy for 3D modelling from video.
Proceedings of the 5th International Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast Asia 2007, 2007

RATSAC: An Adaptive Method for Accelerated Robust Estimation and its Application to Video Synchronisation.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2007

Interactive 3D Model Completion.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2007

Thrift: Local 3D Structure Recognition.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2007

Finding Camera Overlap in Large Surveillance Networks.
Proceedings of the Computer Vision, 2007

2006
Generalised Principal Component Analysis: Exploiting Inherent Parameter Constraints.
Proceedings of the Advances in Computer Graphics and Computer Vision, 2006

Constrained generalised principal component analysis.
Proceedings of the VISAPP 2006: Proceedings of the First International Conference on Computer Vision Theory and Applications, 2006

Middleware for video surveillance networks.
Proceedings of the First International Workshop on Middleware for Sensor Networks, 2006

Rapid Interactive Modelling from Video with Graph Cuts.
Proceedings of the 27th Annual Conference of the European Association for Computer Graphics, 2006

Building Models of Regular Scenes from Structure and Motion.
Proceedings of the British Machine Vision Conference 2006, 2006

Activity Topology Estimation for Large Networks of Cameras.
Proceedings of the Advanced Video and Signal Based Surveillance, 2006

Scalable Surveillance Software Architecture.
Proceedings of the Advanced Video and Signal Based Surveillance, 2006

Hierarchical Model Fitting to 2D and 3D Data.
Proceedings of the Third International Conference on Computer Graphics, 2006

2005
FNS, CFNS and HEIV: A Unifying Approach.
J. Math. Imaging Vis., 2005

Experiences with Simulated Robot Soccer as a Teaching Tool.
Proceedings of the Third International Conference on Information Technology and Applications (ICITA 2005), 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

Computing Surface-Based Photo-Consistency on Graphics Hardware.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2005

2004
From FNS to HEIV: A Link between Two Vision Parameter Estimation Methods.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

A new constrained parameter estimator for computer vision applications.
Image Vis. Comput., 2004

Determining the Translational Speed of a Camera from Time-Varying Optical Flow.
Proceedings of the Complex Motion, First International Workshop, 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
Revisiting Hartley's Normalized Eight-Point Algorithm.
IEEE Trans. Pattern Anal. Mach. Intell., 2003

A voting scheme for estimating the synchrony of moving-camera videos.
Proceedings of the 2003 International Conference on Image Processing, 2003

Incorporating constraints into the design of locally identifiable calibration patterns.
Proceedings of the 2003 International Conference on Image Processing, 2003

A statistical rationalisation of Hartley's normalised eight-point algorithm.
Proceedings of the 12th International Conference on Image Analysis and Processing (ICIAP 2003), 2003

FNS and HEIV: relating two vision parameter estimation frameworks.
Proceedings of the 12th International Conference on Image Analysis and Processing (ICIAP 2003), 2003

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

FNS, CFNS and HEIV: Extending Three Vision Parameter Estimation Methods.
Proceedings of the Seventh International Conference on Digital Image Computing: Techniques and Applications, 2003

Computing Image-Based Reprojection Error on Graphics Hardware.
Proceedings of the Seventh International Conference on Digital Image Computing: Techniques and Applications, 2003

2002
A New Constrained Parameter Estimator: Experiments in Fundamental Matrix Computation.
Proceedings of the British Machine Vision Conference 2002, 2002

2001
Rationalising the Renormalisation Method of Kanatani.
J. Math. Imaging Vis., 2001

A fast MLE-based method for estimating the fundamental matrix.
Proceedings of the 2001 International Conference on Image Processing, 2001

What Value Covariance Information in Estimating Vision Parameters?
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

2000
On the Fitting of Surfaces to Data with Covariances.
IEEE Trans. Pattern Anal. Mach. Intell., 2000

Fundamental matrix from optical flow: optimal computation and reliability evaluation.
J. Electronic Imaging, 2000

Estimating Vision Parameters given Data with Covariances.
Proceedings of the British Machine Vision Conference 2000, 2000

1999
Incorporating the Epipolar Constraint into a Multiresolution Algorithm for Stereo Image Matching.
Proceedings of the 17th IASTED International Conference on Applied Informatics, 1999

1998
Robust Techniques for the Estimation of Structure from Motion in the Uncalibrated Case.
Proceedings of the Computer Vision, 1998


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