Personal information

United Kingdom

Activities

Employment (1)

Samsung AI Center: Cambridge, GB

2018-07-07 to present | Research Scientist
Employment
Source: Self-asserted source
Adrian Bulat

Education and qualifications (1)

University of Nottingham: Nottingham, Nottingham, GB

2015-10-01 to 2019-07-24 | Phd in Computer Science (Computer Vision Laboratory)
Education
Source: Self-asserted source
Adrian Bulat

Works (20)

Estimation of continuous valence and arousal levels from faces in naturalistic conditions

Nature Machine Intelligence
2021-01-11 | Journal article
Part of ISSN: 2522-5839
Source: Self-asserted source
Adrian Bulat

BATS: Binary ArchitecTure Search

Computer Vision – ECCV 2020
2020 | Conference paper
Part of ISBN: 9783030585914
Part of ISBN: 9783030585921
Part of ISSN: 0302-9743
Part of ISSN: 1611-3349
Source: Self-asserted source
Adrian Bulat

Factorized Higher-Order CNNs with an Application to Spatio-Temporal Emotion Estimation

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
2020 | Conference paper
Source: Self-asserted source
Adrian Bulat

FAN-Face: a Simple Orthogonal Improvement to Deep Face Recognition

Proceedings of the AAAI Conference on Artificial Intelligence
2020 | Conference paper
Source: Self-asserted source
Adrian Bulat

Incremental multi-domain learning with network latent tensor factorization

Proceedings of the AAAI Conference on Artificial Intelligence
2020 | Conference paper
Source: Self-asserted source
Adrian Bulat

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

2020 15th IEEE International Conference on Automatic Face & Gesture Recognition
2020 | Conference paper
Source: Self-asserted source
Adrian Bulat

Towards Pose-invariant Lip-Reading

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2020 | Conference paper
Source: Self-asserted source
Adrian Bulat

Training binary neural networks with real-to-binary convolutions

ICLR
2020 | Conference paper
Source: Self-asserted source
Adrian Bulat

XNOR-Net++: Improved Binary Neural Networks

British Machine Vision Conference
2019-09-11 | Conference paper
Source: Self-asserted source
Adrian Bulat

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

IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
2019-05-11 | Conference paper
Source: Self-asserted source
Adrian Bulat

Hierarchical binary CNNs for landmark localization with limited resources

IEEE Transactions on Pattern Analysis and Machine Intelligence
2018 | Journal article
Source: Self-asserted source
Adrian Bulat

To learn image super-resolution, use a GAN to learn how to do image degradation first

European Conference on Computer Vision
2018-09-11 | Conference paper
Source: Self-asserted source
Adrian Bulat

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
2018-06 | Conference paper
Source: Self-asserted source
Adrian Bulat

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

2017 IEEE International Conference on Computer Vision (ICCV)
2017-10 | Book chapter
Part of ISBN: 9781538610329
Source: Self-asserted source
Adrian Bulat

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

2017 IEEE International Conference on Computer Vision (ICCV)
2017-10 | Conference paper
Source: Self-asserted source
Adrian Bulat

How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)

International Conference on Computer Vision
2017-10-23 | Conference paper
Source: Self-asserted source
Adrian Bulat

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

GigaScience
2017-10-01 | Journal article
Part of ISSN: 2047-217X
Source: Self-asserted source
Adrian Bulat

Convolutional aggregation of local evidence for large pose face alignment

British Machine Vision Conference
2016 | Conference paper
Source: Self-asserted source
Adrian Bulat

Human Pose Estimation via Convolutional Part Heatmap Regression

Computer Vision – ECCV 2016
2016 | Book chapter
Part of ISBN: 9783319464770
Part of ISBN: 9783319464787
Part of ISSN: 0302-9743
Part of ISSN: 1611-3349
Source: Self-asserted source
Adrian Bulat

Two-stage convolutional part heatmap regression for the 1st 3d face alignment in the wild (3DFAW) challenge

European Conference on Computer Vision
2016 | Conference paper
Source: Self-asserted source
Adrian Bulat