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Results 1 - 20 of 475  for All Library Resources

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1
Accelerating the Super-Resolution Convolutional Neural Network
Accelerating the Super-Resolution Convolutional Neural Network
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Accelerating the Super-Resolution Convolutional Neural Network

Computer Vision – ECCV 2016, p.391-407 [Peer Reviewed Journal]

Springer International Publishing AG 2016 ;ISSN: 0302-9743 ;ISBN: 3319464744 ;ISBN: 9783319464749 ;EISSN: 1611-3349 ;EISBN: 9783319464756 ;EISBN: 3319464752 ;DOI: 10.1007/978-3-319-46475-6_25

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2
Facial Landmark Detection by Deep Multi-task Learning
Facial Landmark Detection by Deep Multi-task Learning
Material Type:
Conference Proceeding 		Add to My Research

Facial Landmark Detection by Deep Multi-task Learning

Computer Vision – ECCV 2014, p.94-108 [Peer Reviewed Journal]

Springer International Publishing Switzerland 2014 ;ISSN: 0302-9743 ;ISBN: 9783319105987 ;ISBN: 3319105981 ;EISSN: 1611-3349 ;EISBN: 331910599X ;EISBN: 9783319105994 ;DOI: 10.1007/978-3-319-10599-4_7

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3
From Facial Expression Recognition to Interpersonal Relation Prediction
From Facial Expression Recognition to Interpersonal Relation Prediction
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Article 		Add to My Research

From Facial Expression Recognition to Interpersonal Relation Prediction

International journal of computer vision, 2018-05, Vol.126 (5), p.550-569 [Peer Reviewed Journal]

Springer Science+Business Media, LLC, part of Springer Nature 2017 ;COPYRIGHT 2018 Springer ;International Journal of Computer Vision is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 0920-5691 ;EISSN: 1573-1405 ;DOI: 10.1007/s11263-017-1055-1

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4
PSANet: Point-wise Spatial Attention Network for Scene Parsing
PSANet: Point-wise Spatial Attention Network for Scene Parsing
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Conference Proceeding 		Add to My Research

PSANet: Point-wise Spatial Attention Network for Scene Parsing

Computer Vision – ECCV 2018, p.270-286 [Peer Reviewed Journal]

Springer Nature Switzerland AG 2018 ;ISSN: 0302-9743 ;ISBN: 3030012395 ;ISBN: 9783030012397 ;EISSN: 1611-3349 ;EISBN: 9783030012403 ;EISBN: 3030012409 ;DOI: 10.1007/978-3-030-01240-3_17

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5
Learning a Deep Convolutional Network for Image Super-Resolution
Learning a Deep Convolutional Network for Image Super-Resolution
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Learning a Deep Convolutional Network for Image Super-Resolution

Computer Vision – ECCV 2014, p.184-199 [Peer Reviewed Journal]

Springer International Publishing Switzerland 2014 ;ISSN: 0302-9743 ;ISBN: 3319105922 ;ISBN: 9783319105925 ;EISSN: 1611-3349 ;EISBN: 9783319105932 ;EISBN: 3319105930 ;DOI: 10.1007/978-3-319-10593-2_13

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6
Faceness-Net: Face Detection through Deep Facial Part Responses
Faceness-Net: Face Detection through Deep Facial Part Responses
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Article 		Add to My Research

Faceness-Net: Face Detection through Deep Facial Part Responses

IEEE transactions on pattern analysis and machine intelligence, 2018-08, Vol.40 (8), p.1845 [Peer Reviewed Journal]

EISSN: 1939-3539 ;DOI: 10.1109/TPAMI.2017.2738644 ;PMID: 28809674

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7
Person Re-Identification
Person Re-Identification
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Book 		Add to My Research

Person Re-Identification

Springer-Verlag London 2014 ;ISSN: 2191-6586 ;ISBN: 144716296X ;ISBN: 9781447162964 ;ISBN: 1447162951 ;ISBN: 9781447162957 ;EISSN: 2191-6594 ;EISBN: 144716296X ;EISBN: 9781447162964 ;DOI: 10.1007/978-1-4471-6296-4 ;OCLC: 869216943 ;LCCallNum: TK7882.P3 P477 2014eb

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8
Time-Delayed Correlation Analysis for Multi-Camera Activity Understanding
Time-Delayed Correlation Analysis for Multi-Camera Activity Understanding
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Article 		Add to My Research

Time-Delayed Correlation Analysis for Multi-Camera Activity Understanding

International journal of computer vision, 2010-10, Vol.90 (1), p.106-129 [Peer Reviewed Journal]

Springer Science+Business Media, LLC 2010 ;2015 INIST-CNRS ;COPYRIGHT 2010 Springer ;ISSN: 0920-5691 ;EISSN: 1573-1405 ;DOI: 10.1007/s11263-010-0347-5

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9
Chasing the Tail in Monocular 3D Human Reconstruction With Prototype Memory
Chasing the Tail in Monocular 3D Human Reconstruction With Prototype Memory
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Article 		Add to My Research

Chasing the Tail in Monocular 3D Human Reconstruction With Prototype Memory

IEEE transactions on image processing, 2022, Vol.31, p.2907 [Peer Reviewed Journal]

EISSN: 1941-0042 ;DOI: 10.1109/TIP.2022.3154606 ;PMID: 35363614

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10
ReenactGAN: Learning to Reenact Faces via Boundary Transfer
ReenactGAN: Learning to Reenact Faces via Boundary Transfer
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Book Chapter 		Add to My Research

ReenactGAN: Learning to Reenact Faces via Boundary Transfer

Computer Vision – ECCV 2018, p.622-638 [Peer Reviewed Journal]

Springer Nature Switzerland AG 2018 ;ISSN: 0302-9743 ;ISBN: 303001245X ;ISBN: 9783030012458 ;EISSN: 1611-3349 ;EISBN: 9783030012465 ;EISBN: 3030012468 ;DOI: 10.1007/978-3-030-01246-5_37

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11
Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition
Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition
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Book Chapter 		Add to My Research

Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition

Computer Vision – ECCV 2018, p.330-347 [Peer Reviewed Journal]

Springer Nature Switzerland AG 2018 ;ISSN: 0302-9743 ;ISBN: 9783030012182 ;ISBN: 3030012182 ;EISSN: 1611-3349 ;EISBN: 9783030012199 ;EISBN: 3030012190 ;DOI: 10.1007/978-3-030-01219-9_20

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12
Editorial: Special Issue on Deep Learning for Face Analysis
Editorial: Special Issue on Deep Learning for Face Analysis
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Article 		Add to My Research

Editorial: Special Issue on Deep Learning for Face Analysis

International journal of computer vision, 2019-06, Vol.127 (6-7), p.533-536 [Peer Reviewed Journal]

Springer Science+Business Media, LLC, part of Springer Nature 2019 ;COPYRIGHT 2019 Springer ;International Journal of Computer Vision is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0920-5691 ;EISSN: 1573-1405 ;DOI: 10.1007/s11263-019-01179-z

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13
The Re-Identification Challenge
The Re-Identification Challenge
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The Re-Identification Challenge

Person Re-Identification, 2014, p.1-20 [Peer Reviewed Journal]

Springer-Verlag London 2014 ;ISSN: 2191-6586 ;ISBN: 1447162951 ;ISBN: 9781447162957 ;EISSN: 2191-6594 ;EISBN: 144716296X ;EISBN: 9781447162964 ;DOI: 10.1007/978-1-4471-6296-4_1 ;OCLC: 869216943 ;LCCallNum: TA1634

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14
Dimensionality Reduction of Protein Mass Spectrometry Data Using Random Projection
Dimensionality Reduction of Protein Mass Spectrometry Data Using Random Projection
Material Type:
Conference Proceeding 		Add to My Research

Dimensionality Reduction of Protein Mass Spectrometry Data Using Random Projection

Lecture notes in computer science, 2006, p.776-785 [Peer Reviewed Journal]

2008 INIST-CNRS ;ISSN: 0302-9743 ;ISBN: 3540464794 ;ISBN: 9783540464792 ;EISSN: 1611-3349

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15
Temporally consistent video colorization with deep feature propagation and self-regularization learning
Temporally consistent video colorization with deep feature propagation and self-regularization learning
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Article 		Add to My Research

Temporally consistent video colorization with deep feature propagation and self-regularization learning

Computational visual media (Beijing), 2024-04, Vol.10 (2), p.375-395 [Peer Reviewed Journal]

The Author(s) 2023 ;The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2096-0433 ;EISSN: 2096-0662 ;DOI: 10.1007/s41095-023-0342-8

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16
LEDNet: Joint Low-Light Enhancement and Deblurring in the Dark
LEDNet: Joint Low-Light Enhancement and Deblurring in the Dark
Material Type:
Book Chapter 		Add to My Research

LEDNet: Joint Low-Light Enhancement and Deblurring in the Dark

Computer Vision - ECCV 2022, 2022, Vol.13666, p.573-589 [Peer Reviewed Journal]

The Author(s), under exclusive license to Springer Nature Switzerland AG 2022 ;ISSN: 0302-9743 ;ISBN: 9783031200670 ;ISBN: 3031200675 ;EISSN: 1611-3349 ;EISBN: 3031200683 ;EISBN: 9783031200687 ;DOI: 10.1007/978-3-031-20068-7_33 ;OCLC: 1351200184 ;LCCallNum: TA1634

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17
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
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Article 		Add to My Research

Learning to Prompt for Vision-Language Models

International journal of computer vision, 2022-09, Vol.130 (9), p.2337-2348 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;COPYRIGHT 2022 Springer ;ISSN: 0920-5691 ;EISSN: 1573-1405 ;DOI: 10.1007/s11263-022-01653-1

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18
MVIP-NeRF: Multi-view 3D Inpainting on NeRF Scenes via Diffusion Prior
MVIP-NeRF: Multi-view 3D Inpainting on NeRF Scenes via Diffusion Prior
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Article 		Add to My Research

MVIP-NeRF: Multi-view 3D Inpainting on NeRF Scenes via Diffusion Prior

arXiv.org, 2024-05

2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.02859

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19
DifFace: Blind Face Restoration with Diffused Error Contraction
DifFace: Blind Face Restoration with Diffused Error Contraction
Material Type:
Article 		Add to My Research

DifFace: Blind Face Restoration with Diffused Error Contraction

arXiv.org, 2023-12

2023. This work is published under http://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-nc-sa/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2212.06512

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20
Interpret Vision Transformers as ConvNets with Dynamic Convolutions
Interpret Vision Transformers as ConvNets with Dynamic Convolutions
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Article 		Add to My Research

Interpret Vision Transformers as ConvNets with Dynamic Convolutions

arXiv.org, 2023-09

2023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2309.10713

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