Afw Dataset

FA-RPN: Floating Region Proposals for Face Detection - Paper

FA-RPN: Floating Region Proposals for Face Detection - Paper

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Small Face Detection Using Deep Learning on Surveillance Videos

Small Face Detection Using Deep Learning on Surveillance Videos

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Media Tweets by ARK (@ARK_info) | Twitter

Media Tweets by ARK (@ARK_info) | Twitter

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PIFR: Pose Invariant 3D Face Reconstruction - Neurohive - CV

PIFR: Pose Invariant 3D Face Reconstruction - Neurohive - CV

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Fast and exact Newton and Bidirectional fitting of Active

Fast and exact Newton and Bidirectional fitting of Active

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Grid Loss: Detecting Occluded Faces

Grid Loss: Detecting Occluded Faces

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Publications

Publications

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Face detection by structural models

Face detection by structural models

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Alaska Fish and Wildlife Fund 2019 Request for Proposals

Alaska Fish and Wildlife Fund 2019 Request for Proposals

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Age-friendly World Newsletter: World Health Day 2018, call

Age-friendly World Newsletter: World Health Day 2018, call

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Fresh Congressional Probe into Flawed Karl

Fresh Congressional Probe into Flawed Karl "Pausebuster

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Amit Kumar | DeepAI

Amit Kumar | DeepAI

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Arxiv Sanity Preserver

Arxiv Sanity Preserver

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Robust Face Alignment Using a Mixture of Invariant Experts

Robust Face Alignment Using a Mixture of Invariant Experts

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Clinical significance and risk factors for new onset and

Clinical significance and risk factors for new onset and

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Face detection by structural models

Face detection by structural models

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UMDFaces: An Annotated Face Dataset for Training Deep

UMDFaces: An Annotated Face Dataset for Training Deep

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Planet on Twitter:

Planet on Twitter: "Over 100 million carats of rough diamond

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Connecticut-Massachusetts-Maine-New Hampshire-Rhode Island

Connecticut-Massachusetts-Maine-New Hampshire-Rhode Island

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AutoRate: How attentive is the driver?

AutoRate: How attentive is the driver?

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WIDER FACE: A Face Detection Benchmark

WIDER FACE: A Face Detection Benchmark

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Figure 4 from Use fast R-CNN and cascade structure for face

Figure 4 from Use fast R-CNN and cascade structure for face

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Hunting Faces-葛仕明's scholar homepage

Hunting Faces-葛仕明's scholar homepage

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L2,1-based regression and prediction accumulation across

L2,1-based regression and prediction accumulation across

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FA-RPN: Floating Region Proposals for Face Detection - Paper

FA-RPN: Floating Region Proposals for Face Detection - Paper

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300 Faces In-The-Wild Challenge: database and results

300 Faces In-The-Wild Challenge: database and results

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FA-RPN: Floating Region Proposals for Face Detection - Paper

FA-RPN: Floating Region Proposals for Face Detection - Paper

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Online Learning and Detection of Faces with Low Human

Online Learning and Detection of Faces with Low Human

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Fine-Grained Head Pose Estimation Without Keypoints – arXiv

Fine-Grained Head Pose Estimation Without Keypoints – arXiv

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Fast and exact Newton and Bidirectional fitting of Active

Fast and exact Newton and Bidirectional fitting of Active

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i·bug - resources - 300 Faces In-the-Wild Challenge (300-W

i·bug - resources - 300 Faces In-the-Wild Challenge (300-W

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Head Pose Estimation using Deep Learning

Head Pose Estimation using Deep Learning

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PIFR: Pose Invariant 3D Face Reconstruction - Neurohive - CV

PIFR: Pose Invariant 3D Face Reconstruction - Neurohive - CV

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PDF] HyperFace: A Deep Multi-Task Learning Framework for

PDF] HyperFace: A Deep Multi-Task Learning Framework for

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arxiv2018_SRN - 知乎

arxiv2018_SRN - 知乎

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Ap news dataset

Ap news dataset

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On Detecting Partially Occluded Faces with Pose Variations

On Detecting Partially Occluded Faces with Pose Variations

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i·bug - resources - 300 Faces In-the-Wild Challenge (300-W

i·bug - resources - 300 Faces In-the-Wild Challenge (300-W

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Affine-Transformation Parameters Regression for Face Alignment

Affine-Transformation Parameters Regression for Face Alignment

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FaceHunter: A multi-task convolutional neural network based

FaceHunter: A multi-task convolutional neural network based

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Evaluation of Thermal Stratification and Eutrophication in

Evaluation of Thermal Stratification and Eutrophication in

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Faceness-Net: Face Detection through Deep Facial Part

Faceness-Net: Face Detection through Deep Facial Part

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人脸检测(十七)--Faceness-Net - 工作笔记- CSDN博客

人脸检测(十七)--Faceness-Net - 工作笔记- CSDN博客

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CLNF lanmark detection of AFW dataset

CLNF lanmark detection of AFW dataset

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Ap news dataset

Ap news dataset

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Pushing the Limits of Unconstrained Face Detection: a New

Pushing the Limits of Unconstrained Face Detection: a New

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FA-RPN: Floating Region Proposals for Face Detection - Paper

FA-RPN: Floating Region Proposals for Face Detection - Paper

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Pushing the Limits of Unconstrained Face Detection: a New

Pushing the Limits of Unconstrained Face Detection: a New

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Building face landmark detection model using Pytorch | Tam Vu

Building face landmark detection model using Pytorch | Tam Vu

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Response to critiques: Climate scientists versus climate

Response to critiques: Climate scientists versus climate

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Afw Dataset

Afw Dataset

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Leveraging Datasets with Varying Annotations for Face

Leveraging Datasets with Varying Annotations for Face

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Arxiv Sanity Preserver

Arxiv Sanity Preserver

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Figure 7 from A deep pyramid Deformable Part Model for face

Figure 7 from A deep pyramid Deformable Part Model for face

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Discussion thread – improving the interface between climate

Discussion thread – improving the interface between climate

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Figure 5 from HyperFace: A Deep Multi-Task Learning

Figure 5 from HyperFace: A Deep Multi-Task Learning

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PIFR: Pose Invariant 3D Face Reconstruction

PIFR: Pose Invariant 3D Face Reconstruction

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Faceboxes: A CPU real-time and accurate unconstrained face

Faceboxes: A CPU real-time and accurate unconstrained face

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Bearded Theologians (podcast) - Bearded Theologians | Listen

Bearded Theologians (podcast) - Bearded Theologians | Listen

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Pushing the Limits of Unconstrained Face Detection: a

Pushing the Limits of Unconstrained Face Detection: a

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Arxiv Sanity Preserver

Arxiv Sanity Preserver

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Arxiv Sanity Preserver

Arxiv Sanity Preserver

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Figure 13 from Facial Landmark Machines: A Backbone-Branches

Figure 13 from Facial Landmark Machines: A Backbone-Branches

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HyperFace: A Deep Multi-task Learning Framework for Face

HyperFace: A Deep Multi-task Learning Framework for Face

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AutoRate: How attentive is the driver?

AutoRate: How attentive is the driver?

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Robust Face Alignment Using a Mixture of Invariant Experts

Robust Face Alignment Using a Mixture of Invariant Experts

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Face Detection Matlab Code

Face Detection Matlab Code

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Ap news dataset

Ap news dataset

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Entropy | Free Full-Text | An Early Fault Diagnosis Method

Entropy | Free Full-Text | An Early Fault Diagnosis Method

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Figure 7 5 from An investigation into combining both facial

Figure 7 5 from An investigation into combining both facial

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RPubs - Milestone Report

RPubs - Milestone Report

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Joint Annual Meeting ISMRM-ESMRMB 2018

Joint Annual Meeting ISMRM-ESMRMB 2018

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A comparative study of face landmarking techniques | EURASIP

A comparative study of face landmarking techniques | EURASIP

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i·bug - resources - 300 Faces In-the-Wild Challenge (300-W

i·bug - resources - 300 Faces In-the-Wild Challenge (300-W

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开放获取论文一站式发现平台

开放获取论文一站式发现平台

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Microsoft Research Academic Services GTM Draft

Microsoft Research Academic Services GTM Draft

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Faceness-Net: Face Detection through Deep Facial Part

Faceness-Net: Face Detection through Deep Facial Part

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Leveraging Datasets with Varying Annotations for Face

Leveraging Datasets with Varying Annotations for Face

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Grid Loss: Detecting Occluded Faces

Grid Loss: Detecting Occluded Faces

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Leveraging Datasets with Varying Annotations for Face

Leveraging Datasets with Varying Annotations for Face

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Task-Oriented Feature-Fused Network With Multivariate

Task-Oriented Feature-Fused Network With Multivariate

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Bin Yang - University of Toronto Computer Science

Bin Yang - University of Toronto Computer Science

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Hunting Faces-葛仕明's scholar homepage

Hunting Faces-葛仕明's scholar homepage

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HyperFace: A Deep Multi-task Learning Framework for Face

HyperFace: A Deep Multi-task Learning Framework for Face

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Facial Landmark Localization | HCP 中山大学人机物智能融合实验室

Facial Landmark Localization | HCP 中山大学人机物智能融合实验室

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GitHub - jmbuena/toolbox badacost faces public

GitHub - jmbuena/toolbox badacost faces public

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Robust Face Alignment Using a Mixture of Invariant Experts

Robust Face Alignment Using a Mixture of Invariant Experts

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Arxiv Sanity Preserver

Arxiv Sanity Preserver

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Performance evaluation on AFW dataset (6 points) for

Performance evaluation on AFW dataset (6 points) for

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OSA | Motorized capsule for shadow-free OCT imaging and

OSA | Motorized capsule for shadow-free OCT imaging and

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300 Faces in-the-Wild Challenge: The First Facial Landmark

300 Faces in-the-Wild Challenge: The First Facial Landmark

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Hunting Faces-葛仕明's scholar homepage

Hunting Faces-葛仕明's scholar homepage

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PIFR: Pose Invariant 3D Face Reconstruction – mc ai

PIFR: Pose Invariant 3D Face Reconstruction – mc ai

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A Fast Face Detection Method via Convolutional Neural Network

A Fast Face Detection Method via Convolutional Neural Network

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Jim Hunt on Twitter:

Jim Hunt on Twitter: "#FailOnSunday fails to correct blatant

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Leveraging Datasets With Varying Annotations for Face

Leveraging Datasets With Varying Annotations for Face

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Beyond context: Exploring semantic similarity for small

Beyond context: Exploring semantic similarity for small

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PIFR: Pose Invariant 3D Face Reconstruction - Neurohive - CV

PIFR: Pose Invariant 3D Face Reconstruction - Neurohive - CV

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A comparative study of face landmarking techniques | EURASIP

A comparative study of face landmarking techniques | EURASIP

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Figure 12 from Faceness-Net: Face Detection through Deep

Figure 12 from Faceness-Net: Face Detection through Deep

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