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How Far are We from Solving the 2D & 3D Face Alignment Problem? (and a Dataset of 230,000 3D Facial Landmarks)

2017 IEEE International Conference on Computer Vision (ICCV), 2017, p.1021-1030

2017

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IEEE_Xplore

To Learn Image Super-Resolution, Use a GAN to Learn How to Do Image Degradation First

Computer Vision – ECCV 2018, p.187-202

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Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression

2017 IEEE International Conference on Computer Vision (ICCV), 2017, p.1031-1039

2017

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IEEE_Xplore

Deep machine learning provides state-of-the-art performance in image-based plant phenotyping

Gigascience, 2017-10, Vol.6 (10), p.1-10

2017

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Super-FAN: Integrated Facial Landmark Localization and Super-Resolution of Real-World Low Resolution Faces in Arbitrary Poses with GANs

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.109-117

2018

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IEEE_Xplore

Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources

2017 IEEE International Conference on Computer Vision (ICCV), 2017, p.3726-3734

2017

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IEEE_Xplore

Hierarchical Binary CNNs for Landmark Localization with Limited Resources

IEEE transactions on pattern analysis and machine intelligence, 2020-02, Vol.42 (2), p.343-356

2020

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Language-Aware Soft Prompting: Text-to-Text Optimization for Few- and Zero-Shot Adaptation of V &L Models

International journal of computer vision, 2024-04, Vol.132 (4), p.1108-1125

2024

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Human Pose Estimation via Convolutional Part Heatmap Regression

Computer Vision – ECCV 2016, p.717-732

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Toward fast and accurate human pose estimation via soft-gated skip connections

2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), 2020, p.8-15

2020

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LASP: Text-to-Text Optimization for Language-Aware Soft Prompting of Vision & Language Models

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, p.23232-23241

2023

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Bit-Mixer: Mixed-precision networks with runtime bit-width selection

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021, p.5168-5177

2021

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IEEE_Xplore

T-Net: Parametrizing Fully Convolutional Nets With a Single High-Order Tensor

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.7814-7823

2019

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A Transfer Learning Approach to Heatmap Regression for Action Unit Intensity Estimation

IEEE transactions on affective computing, 2023-01, Vol.14 (1), p.436-450

2023

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IEEE_Xplore

Two-Stage Convolutional Part Heatmap Regression for the 1st 3D Face Alignment in the Wild (3DFAW) Challenge

Computer Vision – ECCV 2016 Workshops, p.616-624

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BATS: Binary ArchitecTure Search

Computer Vision - ECCV 2020, 2020, Vol.12368, p.309-325

2020

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EdgeViTs: Competing Light-Weight CNNs on Mobile Devices with Vision Transformers

Computer Vision - ECCV 2022, 2022, Vol.13671, p.294-311

2022

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Tensor Dropout for Robust Learning

IEEE journal of selected topics in signal processing, 2021-04, Vol.15 (3), p.630-640

2021

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IEEE_Xplore

Improving Memory Banks for Unsupervised Learning with Large Mini-Batch, Consistency and Hard Negative Mining

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, p.1695-1699

2021

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IEEE_Xplore

Towards Pose-Invariant Lip-Reading

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, p.4357-4361

2020

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IEEE_Xplore

Deep Learning for Real World Face Alignment

Bulat, Adrian

2019

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ProQuest

Pre-training Strategies and Datasets for Facial Representation Learning

Computer Vision - ECCV 2022, 2022, Vol.13673, p.107-125

2022

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Semi-supervised Facial Action Unit Intensity Estimation with Contrastive Learning

Computer Vision – ACCV 2020, p.104-120

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Erratum to: Deep machine learning provides state-of-the-art performance in image-based plant phenotyping

Gigascience, 2018-07, Vol.7 (7)

2018

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An Analysis of Isolated and Intact RBC MembranesA Comparison of a Semiquantitative Approach by Means of FTIR, Nano-FTIR, and Raman Spectroscopies

Analytical chemistry (Washington), 2019-08, Vol.91 (15), p.9867-9874

2019

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How Far are We from Solving the 2D & 3D Face Alignment Problem? (and a Dataset of 230,000 3D Facial Landmarks)

To Learn Image Super-Resolution, Use a GAN to Learn How to Do Image Degradation First

Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression

Deep machine learning provides state-of-the-art performance in image-based plant phenotyping

Super-FAN: Integrated Facial Landmark Localization and Super-Resolution of Real-World Low Resolution Faces in Arbitrary Poses with GANs

Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources

Hierarchical Binary CNNs for Landmark Localization with Limited Resources

Language-Aware Soft Prompting: Text-to-Text Optimization for Few- and Zero-Shot Adaptation of V &L Models

Human Pose Estimation via Convolutional Part Heatmap Regression

Toward fast and accurate human pose estimation via soft-gated skip connections

LASP: Text-to-Text Optimization for Language-Aware Soft Prompting of Vision & Language Models

Bit-Mixer: Mixed-precision networks with runtime bit-width selection

T-Net: Parametrizing Fully Convolutional Nets With a Single High-Order Tensor

A Transfer Learning Approach to Heatmap Regression for Action Unit Intensity Estimation

Two-Stage Convolutional Part Heatmap Regression for the 1st 3D Face Alignment in the Wild (3DFAW) Challenge

BATS: Binary ArchitecTure Search

EdgeViTs: Competing Light-Weight CNNs on Mobile Devices with Vision Transformers

Tensor Dropout for Robust Learning

Improving Memory Banks for Unsupervised Learning with Large Mini-Batch, Consistency and Hard Negative Mining

Towards Pose-Invariant Lip-Reading

Deep Learning for Real World Face Alignment

Pre-training Strategies and Datasets for Facial Representation Learning

Semi-supervised Facial Action Unit Intensity Estimation with Contrastive Learning

Erratum to: Deep machine learning provides state-of-the-art performance in image-based plant phenotyping

An Analysis of Isolated and Intact RBC MembranesA Comparison of a Semiquantitative Approach by Means of FTIR, Nano-FTIR, and Raman Spectroscopies

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