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Learning Two-Branch Neural Networks for Image-Text Matching Tasks

IEEE transactions on pattern analysis and machine intelligence, 2019-02, Vol.41 (2), p.394-407

2019

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IEEE_Xplore

Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-Scale Image Retrieval

IEEE transactions on pattern analysis and machine intelligence, 2013-12, Vol.35 (12), p.2916-2929

2013

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IEEE_Xplore

Iterative quantization: A procrustean approach to learning binary codes

CVPR 2011, 2011, p.817-824

2011

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IEEE_Xplore

Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights

Computer Vision – ECCV 2018, p.72-88

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Learning Deep Structure-Preserving Image-Text Embeddings

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, p.5005-5013

2016

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IEEE_Xplore

Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models

International journal of computer vision, 2017-05, Vol.123 (1), p.74-93

2017

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Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models

2015 IEEE International Conference on Computer Vision (ICCV), 2015, p.2641-2649

2015

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IEEE_Xplore

3D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints

International journal of computer vision, 2006-03, Vol.66 (3), p.231-259

2006

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PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.7765-7773

2018

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IEEE_Xplore

Learning Binary Codes for High-Dimensional Data Using Bilinear Projections

2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013, p.484-491

2013

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Projective visual hulls

International journal of computer vision, 2007-08, Vol.74 (2), p.137-165

2007

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Superparsing: Scalable Nonparametric Image Parsing with Superpixels

International journal of computer vision, 2013, Vol.101 (2), p.329-349

2013

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Learning Informative Edge Maps for Indoor Scene Layout Prediction

2015 IEEE International Conference on Computer Vision (ICCV), 2015, p.936-944

2015

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IEEE_Xplore

Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs

Computer Vision – ECCV 2008, p.427-440

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Finding Things: Image Parsing with Regions and Per-Exemplar Detectors

2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013, p.3001-3008

2013

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Contextual Translation Embedding for Visual Relationship Detection and Scene Graph Generation

IEEE transactions on pattern analysis and machine intelligence, 2021-11, Vol.43 (11), p.3820-3832

2021

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IEEE_Xplore

A Multi-View Embedding Space for Modeling Internet Images, Tags, and Their Semantics

International journal of computer vision, 2014-01, Vol.106 (2), p.210-233

2014

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Active Object Localization with Deep Reinforcement Learning

2015 IEEE International Conference on Computer Vision (ICCV), 2015, p.2488-2496

2015

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IEEE_Xplore

Two Can Play This Game: Visual Dialog with Discriminative Question Generation and Answering

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.5754-5763

2018

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IEEE_Xplore

Asymmetric Distances for Binary Embeddings

IEEE transactions on pattern analysis and machine intelligence, 2014-01, Vol.36 (1), p.33-47

2014

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IEEE_Xplore

Supervised Learning of Quantizer Codebooks by Information Loss Minimization

IEEE transactions on pattern analysis and machine intelligence, 2009-07, Vol.31 (7), p.1294-1309

2009

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IEEE_Xplore

Scene recognition and weakly supervised object localization with deformable part-based models

2011 International Conference on Computer Vision, 2011, p.1307-1314

2011

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IEEE_Xplore

Enhancing Video Summarization via Vision-Language Embedding

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, p.1052-1060

2017

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A sparse texture representation using local affine regions

IEEE transactions on pattern analysis and machine intelligence, 2005-08, Vol.27 (8), p.1265-1278

2005

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IEEE_Xplore

Local features and kernels for classification of texture and object categories : A comprehensive study

International journal of computer vision, 2007-06, Vol.73 (2), p.213-238

2007

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Learning Two-Branch Neural Networks for Image-Text Matching Tasks

Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-Scale Image Retrieval

Iterative quantization: A procrustean approach to learning binary codes

Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights

Learning Deep Structure-Preserving Image-Text Embeddings

Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models

Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models

3D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints

PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

Learning Binary Codes for High-Dimensional Data Using Bilinear Projections

Projective visual hulls

Superparsing: Scalable Nonparametric Image Parsing with Superpixels

Learning Informative Edge Maps for Indoor Scene Layout Prediction

Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs

Finding Things: Image Parsing with Regions and Per-Exemplar Detectors

Contextual Translation Embedding for Visual Relationship Detection and Scene Graph Generation

A Multi-View Embedding Space for Modeling Internet Images, Tags, and Their Semantics

Active Object Localization with Deep Reinforcement Learning

Two Can Play This Game: Visual Dialog with Discriminative Question Generation and Answering

Asymmetric Distances for Binary Embeddings

Supervised Learning of Quantizer Codebooks by Information Loss Minimization

Scene recognition and weakly supervised object localization with deformable part-based models

Enhancing Video Summarization via Vision-Language Embedding

A sparse texture representation using local affine regions

Local features and kernels for classification of texture and object categories : A comprehensive study

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