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

Computer Vision – ECCV 2018, p.675-691

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Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, p.1705-1714

2019

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Towards Effective Low-Bitwidth Convolutional Neural Networks

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.7920-7928

2018

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Cross-Convolutional-Layer Pooling for Image Recognition

IEEE transactions on pattern analysis and machine intelligence, 2017-11, Vol.39 (11), p.2305-2313

2017

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Temporal Pyramid Pooling-Based Convolutional Neural Network for Action Recognition

IEEE transactions on circuits and systems for video technology, 2017-12, Vol.27 (12), p.2613-2622

2017

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Towards Context-Aware Interaction Recognition for Visual Relationship Detection

2017 IEEE International Conference on Computer Vision (ICCV), 2017, p.589-598

2017

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What Value Do Explicit High Level Concepts Have in Vision to Language Problems?

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, p.203-212

2016

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Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.413-422

2019

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Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation

2017 IEEE International Conference on Computer Vision (ICCV), 2017, p.1221-1230

2017

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In defense of soft-assignment coding

2011 International Conference on Computer Vision, 2011, p.2486-2493

2011

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The treasure beneath convolutional layers: Cross-convolutional-layer pooling for image classification

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, p.4749-4757

2015

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Learning Context Flexible Attention Model for Long-Term Visual Place Recognition

IEEE robotics and automation letters, 2018-10, Vol.3 (4), p.4015-4022

2018

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

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, p.3806-3815

2017

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Adaptive Importance Learning for Improving Lightweight Image Super-Resolution Network

International journal of computer vision, 2020-02, Vol.128 (2), p.479-499

2020

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Image Co-localization by Mimicking a Good Detector’s Confidence Score Distribution

Computer Vision – ECCV 2016, p.19-34

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Compositional Model Based Fisher Vector Coding for Image Classification

IEEE transactions on pattern analysis and machine intelligence, 2017-12, Vol.39 (12), p.2335-2348

2017

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Learning Discriminative Bayesian Networks from High-Dimensional Continuous Neuroimaging Data

IEEE transactions on pattern analysis and machine intelligence, 2016-11, Vol.38 (11), p.2269-2283

2016

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Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning from Web Data

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, p.2915-2924

2017

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Mid-level deep pattern mining

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, p.971-980

2015

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A Graph-Embedding Approach to Hierarchical Visual Word Mergence

IEEE transaction on neural networks and learning systems, 2017-02, Vol.28 (2), p.308-320

2017

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Density Maximization for Improving Graph Matching With Its Applications

IEEE transactions on image processing, 2015-07, Vol.24 (7), p.2110-2123

2015

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A Scalable Unsupervised Feature Merging Approach to Efficient Dimensionality Reduction of High-Dimensional Visual Data

2013 IEEE International Conference on Computer Vision, 2013, p.3008-3015

2013

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A Generalized Probabilistic Framework for Compact Codebook Creation

IEEE transactions on pattern analysis and machine intelligence, 2016-02, Vol.38 (2), p.224-237

2016

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A Hierarchical Word-Merging Algorithm with Class Separability Measure

IEEE transactions on pattern analysis and machine intelligence, 2014-03, Vol.36 (3), p.417-435

2014

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Improving Graph Matching via Density Maximization

2013 IEEE International Conference on Computer Vision, 2013, p.3424-3431

2013

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

Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection

Towards Effective Low-Bitwidth Convolutional Neural Networks

Cross-Convolutional-Layer Pooling for Image Recognition

Temporal Pyramid Pooling-Based Convolutional Neural Network for Action Recognition

Towards Context-Aware Interaction Recognition for Visual Relationship Detection

What Value Do Explicit High Level Concepts Have in Vision to Language Problems?

Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation

Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation

In defense of soft-assignment coding

The treasure beneath convolutional layers: Cross-convolutional-layer pooling for image classification

Learning Context Flexible Attention Model for Long-Term Visual Place Recognition

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

Adaptive Importance Learning for Improving Lightweight Image Super-Resolution Network

Image Co-localization by Mimicking a Good Detector’s Confidence Score Distribution

Compositional Model Based Fisher Vector Coding for Image Classification

Learning Discriminative Bayesian Networks from High-Dimensional Continuous Neuroimaging Data

Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning from Web Data

Mid-level deep pattern mining

A Graph-Embedding Approach to Hierarchical Visual Word Mergence

Density Maximization for Improving Graph Matching With Its Applications

A Scalable Unsupervised Feature Merging Approach to Efficient Dimensionality Reduction of High-Dimensional Visual Data

A Generalized Probabilistic Framework for Compact Codebook Creation

A Hierarchical Word-Merging Algorithm with Class Separability Measure

Improving Graph Matching via Density Maximization

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