Qinfeng Shi

Wee Sun Lee

J. Mach. Learn. Res., 2023

Zero-shot Retrieval: Augmenting Pre-trained Models with Search Engines.

[BibT_eX]

[DOI]

Hamed Damirchi

Cristian Rodriguez Opazo

CoRR, 2023

CLAP: Contrastive Learning with Augmented Prompts for Robustness on Pretrained Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Identifiable Latent Polynomial Causal Models Through the Lens of Change.

[BibT_eX]

[DOI]

CoRR, 2023

A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations.

[BibT_eX]

[DOI]

Hongrong Cheng

Miao Zhang

CoRR, 2023

Influence Function Based Second-Order Channel Pruning-Evaluating True Loss Changes For Pruning Is Possible Without Retraining.

[BibT_eX]

[DOI]

Hongrong Cheng

Miao Zhang

CoRR, 2023

Semantic Role Labeling Guided Out-of-distribution Detection.

[BibT_eX]

[DOI]

CoRR, 2023

Improving Reward Estimation in Goal-Conditioned Imitation Learning with Counterfactual Data and Structural Causal Models.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Informatics in Control, 2023

A Generative Approach for Comprehensive Financial Event Extraction at the Document Level.

[BibT_eX]

[DOI]

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

2022

Show, Price and Negotiate: A Negotiator With Online Value Look-Ahead.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2022

Computationally Efficient Dilated Convolutional Model for Melody Extraction.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2022

High dynamic range imaging via gradient-aware context aggregation network.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Video super-resolution via mixed spatial-temporal convolution and selective fusion.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Learn to Predict Sets Using Feed-Forward Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Dual-Attention-Guided Network for Ghost-Free High Dynamic Range Imaging.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2022

Identifying Latent Causal Content for Multi-Source Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2022

Weight-variant Latent Causal Models.

[BibT_eX]

[DOI]

CoRR, 2022

Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model.

[BibT_eX]

[DOI]

CoRR, 2022

ForeSI: Success-Aware Visual Navigation Agent.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Truncated Matrix Power Iteration for Differentiable DAG Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Implicit Sample Extension for Unsupervised Person Re-Identification.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

A Lightweight Network for High Dynamic Range Imaging.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results.

[BibT_eX]

[DOI]

Eduardo Pérez-Pellitero

Truong Thanh Nhat Mai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Active Learning by Feature Mixing.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Deep Single Image Deraining via Modeling Haze-Like Effect.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2021

Attention-Guided Deep Neural Network With Multi-Scale Feature Fusion for Liver Vessel Segmentation.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2021

Learning to Zoom-In via Learning to Zoom-Out: Real-World Super-Resolution by Generating and Adapting Degradation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

COVID-19 Chest CT Image Segmentation Network by Multi-Scale Fusion and Enhancement Operations.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2021

Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Towards accurate HDR imaging with learning generator constraints.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Learning for Visual Navigation by Imagining the Success.

[BibT_eX]

[DOI]

CoRR, 2021

Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation.

[BibT_eX]

[DOI]

Qi Wu

Javen Shi

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Memory-augmented Dynamic Neural Relational Inference.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Consistency-Aware Graph Network for Human Interaction Understanding.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

A Comprehensive CT Dataset for Liver Computer Assisted Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Accurate Tensor Completion via Adaptive Low-Rank Representation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Learning Deep Gradient Descent Optimization for Image Deconvolution.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis, and Case Study.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2020

Learning Distilled Graph for Large-Scale Social Network Data Clustering.

[BibT_eX]

[DOI]

Alexander G. Hauptmann

IEEE Trans. Knowl. Data Eng., 2020

Deep HDR Imaging via A Non-Local Network.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

Model-Free Tracker for Multiple Objects Using Joint Appearance and Motion Inference.

[BibT_eX]

[DOI]

Chongyu Liu

Ian Reid

IEEE Trans. Image Process., 2020

Multi-way backpropagation for training compact deep neural networks.

[BibT_eX]

[DOI]

Neural Networks, 2020

GADE: A Generative Adversarial Approach to Density Estimation and its Applications.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2020

Ghost Removal via Channel Attention in Exposure Fusion.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2020

LAGNet: Logic-Aware Graph Network for Human Interaction Understanding.

[BibT_eX]

[DOI]

CoRR, 2020

COVID-19 Chest CT Image Segmentation - A Deep Convolutional Neural Network Solution.

[BibT_eX]

[DOI]

CoRR, 2020

Utilising Prior Knowledge for Visual Navigation: Distil and Adapt.

[BibT_eX]

[DOI]

Qi Wu

Javen Shi

CoRR, 2020

MOT20: A benchmark for multi object tracking in crowded scenes.

[BibT_eX]

[DOI]

CoRR, 2020

Learn to Predict Sets Using Feed-Forward Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Counterfactual Vision-and-Language Navigation: Unravelling the Unseen.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Towards deep clustering of human activities from wearables.

[BibT_eX]

[DOI]

Proceedings of the ISWC '20: 2020 ACM International Symposium on Wearable Computers, 2020

Enhancing Piano Transcription by Dilated Convolution.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Harmonic Structure-Based Neural Network Model for Music Pitch Detection.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Joint Learning of Social Groups, Individuals Action and Sub-group Activities in Videos.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Counterfactual Vision and Language Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Auto-Embedding Generative Adversarial Networks For High Resolution Image Synthesis.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2019

An Adaptive Markov Random Field for Structured Compressive Sensing.

[BibT_eX]

[DOI]

Suwichaya Suwanwimolkul

Qinfeng (Javen) Shi

IEEE Trans. Image Process., 2019

MPTV: Matching Pursuit-Based Total Variation Minimization for Image Deconvolution.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

Semantics-Aware Visual Object Tracking.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2019

One-step adaptive markov random field for structured compressive sensing.

[BibT_eX]

[DOI]

Suwichaya Suwanwimolkul

Lei Zhang

Signal Process., 2019

Accurate imagery recovery using a multi-observation patch model.

[BibT_eX]

[DOI]

Inf. Sci., 2019

Creating Auxiliary Representations from Charge Definitions for Criminal Charge Prediction.

[BibT_eX]

[DOI]

CoRR, 2019

Gradient Information Guided Deraining with A Novel Network and Adversarial Training.

[BibT_eX]

[DOI]

CoRR, 2019

Deep Single Image Deraining Via Estimating Transmission and Atmospheric Light in rainy Scenes.

[BibT_eX]

[DOI]

CoRR, 2019

CVPR19 Tracking and Detection Challenge: How crowded can it get?

[BibT_eX]

[DOI]

Patrick Dendorfer

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Follow the Attention: Combining Partial Pose and Object Motion for Fine-Grained Action Detection.

[BibT_eX]

[DOI]

Javen Shi

CoRR, 2019

Show, Price and Negotiate: A Hierarchical Attention Recurrent Visual Negotiator.

[BibT_eX]

[DOI]

CoRR, 2019

Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes.

[BibT_eX]

[DOI]

Yu Liu

Thanh-Toan Do

Ian D. Reid

CoRR, 2019

Multi-Scale Dense Networks for Deep High Dynamic Range Imaging.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks.

[BibT_eX]

[DOI]

Alireza Abedin

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Exploiting Stereo Sound Channels to Boost Performance of Neural Network-Based Music Transcription.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

New Convex Relaxations for MRF Inference With Unknown Graphs.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Attention-Guided Network for Ghost-Free High Dynamic Range Imaging.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Variational Bayesian Dropout With a Hierarchical Prior.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Generative Adversarial Density Estimator.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Efficient dense labelling of human activity sequences from wearables using fully convolutional networks.

[BibT_eX]

[DOI]

Guosheng Lin

Pattern Recognit., 2018

Cluster Sparsity Field: An Internal Hyperspectral Imagery Prior for Reconstruction.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

Variational Bayesian Dropout.

[BibT_eX]

[DOI]

CoRR, 2018

Deep Perm-Set Net: Learn to predict sets with unknown permutation and cardinality using deep neural networks.

[BibT_eX]

[DOI]

CoRR, 2018

Learning an Optimizer for Image Deconvolution.

[BibT_eX]

[DOI]

CoRR, 2018

Deep Auto-Set: A Deep Auto-Encoder-Set Network for Activity Recognition Using Wearables.

[BibT_eX]

[DOI]

Alireza Abedin Varamin

Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2018

Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Deblurring Natural Image Using Super-Gaussian Fields.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Active Learning from Noisy Tagged Images.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2018, 2018

Joint Learning of Set Cardinality and State Distribution.

[BibT_eX]

[DOI]

Roberto Luis Shinmoto Torres

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Part-Based Robust Tracking Using Online Latent Structured Learning.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2017

A hierarchical model for recognizing alarming states in a batteryless sensor alarm intervention for preventing falls in older people.

[BibT_eX]

[DOI]

Pervasive Mob. Comput., 2017

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

[BibT_eX]

[DOI]

CoRR, 2017

Efficient Dense Labeling of Human Activity Sequences from Wearables using Fully Convolutional Networks.

[BibT_eX]

[DOI]

Guosheng Lin

CoRR, 2017

Bayesian Conditional Generative Adverserial Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Dynamic Programming Bipartite Belief Propagation For Hyper Graph Matching.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Self-Paced Kernel Estimation for Robust Blind Image Deblurring.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Multi-Object Model-Free Tracking with Joint Appearance and Motion Inference.

[BibT_eX]

[DOI]

Chongyu Liu

Ian D. Reid

Roberto Luis Shinmoto Torres

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Solving Constrained Combinatorial Optimisation Problems via MAP Inference without High-Order Penalties.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

MPGL: An Efficient Matching Pursuit Method for Generalized LASSO.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Dictionary Learning for Promoting Structured Sparsity in Hyperspectral Compressive Sensing.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2016

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

[BibT_eX]

[DOI]

CoRR, 2016

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

[BibT_eX]

[DOI]

CoRR, 2016

Cluster Sparsity Field for Hyperspectral Imagery Denoising.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

Pairwise Matching through Max-Weight Bipartite Belief Propagation.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

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

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Joint Probabilistic Matching Using m-Best Solutions.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Blind Image Deconvolution by Automatic Gradient Activation.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Efficient Orthogonal Non-negative Matrix Factorization over Stiefel Manifold.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2015

Hashing on Nonlinear Manifolds.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2015

Worst Case Linear Discriminant Analysis as Scalable Semidefinite Feasibility Problems.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2015

A Hybrid Loss for Multiclass and Structured Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2015

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

[BibT_eX]

[DOI]

CoRR, 2015

Image-Based Recommendations on Styles and Substitutes.

[BibT_eX]

[DOI]

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Hyperspectral Compressive Sensing Using Manifold-Structured Sparsity Prior.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Joint Probabilistic Data Association Revisited.

[BibT_eX]

[DOI]

Sakrapee Paisitkriangkrai

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Learning graph structure for multi-label image classification via clique generation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

RandomBoost: Simplified Multiclass Boosting Through Randomization.

[BibT_eX]

[DOI]

Sakrapee Paisitkriangkrai

IEEE Trans. Neural Networks Learn. Syst., 2014

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

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

RandomBoost: Simplified Multi-class Boosting through Randomization

[BibT_eX]

[DOI]

Roberto Luis Shinmoto Torres

CoRR, 2013

Constraint Reduction using Marginal Polytope Diagrams for MAP LP Relaxations.

[BibT_eX]

[DOI]

CoRR, 2013

Evaluation of Wearable Sensor Tag Data Segmentation Approaches for Real Time Activity Classification in Elderly.

[BibT_eX]

[DOI]

Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking, and Services, 2013

Part-Based Visual Tracking with Online Latent Structural Learning.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Bilinear Programming for Human Activity Recognition with Unknown MRF Graphs.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Inductive Hashing on Manifolds.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Dimensionality reduction via compressive sensing.

[BibT_eX]

[DOI]

Junbin Gao

Tibério S. Caetano

Pattern Recognit. Lett., 2012

Is margin preserved after random projection?.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

Robust Tracking with Weighted Online Structured Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2012, 2012

Non-sparse linear representations for visual tracking with online reservoir metric learning.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Human Action Segmentation and Recognition Using Discriminative Semi-Markov Models.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2011

Is face recognition really a Compressive Sensing problem?

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Real-time visual tracking using compressive sensing.

[BibT_eX]

[DOI]

Hanxi Li

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Real-time Visual Tracking Using Sparse Representation

[BibT_eX]

[DOI]

Hanxi Li

CoRR, 2010

Conditional Random Fields and Support Vector Machines: A Hybrid Approach

[BibT_eX]

[DOI]

Mark D. Reid

Tibério S. Caetano

CoRR, 2010

Rapid face recognition using hashing.

[BibT_eX]

[DOI]

Hanxi Li

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Hash Kernels for Structured Data.

[BibT_eX]

[DOI]

S. V. N. Vishwanathan

J. Mach. Learn. Res., 2009

Hash Kernels.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Discriminative Maximum Margin Image Object Categorization with Exact Inference.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Image and Graphics, 2009

2008

Discriminative human action segmentation and recognition using semi-Markov model.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Semi-Markov Models for Sequence Segmentation.

[BibT_eX]

[DOI]