Adrian Bulat

Orcid: 0000-0002-3185-4979

According to our database1, Adrian Bulat authored at least 56 papers between 2016 and 2024.

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Bibliography

2024
Language-Aware Soft Prompting: Text-to-Text Optimization for Few- and Zero-Shot Adaptation of V &L Models.
Int. J. Comput. Vis., April, 2024

You Only Need One Step: Fast Super-Resolution with Stable Diffusion via Scale Distillation.
CoRR, 2024

Efficient Vision-Language pre-training via domain-specific learning for human activities.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing Hallucinations in LVLMs.
Proceedings of the Computer Vision - ECCV 2024, 2024

FFF: Fixing Flawed Foundations in contrastive pre-training results in very strong Vision-Language models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
A Transfer Learning Approach to Heatmap Regression for Action Unit Intensity Estimation.
IEEE Trans. Affect. Comput., 2023

SimDETR: Simplifying self-supervised pretraining for DETR.
CoRR, 2023

Black Box Few-Shot Adaptation for Vision-Language models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Bayesian Prompt Learning for Image-Language Model Generalization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ReGen: A good Generative zero-shot video classifier should be Rewarded.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

LASP: Text-to-Text Optimization for Language-Aware Soft Prompting of Vision & Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Variational prompt tuning improves generalization of vision-language models.
CoRR, 2022

Language-Aware Soft Prompting for Vision & Language Foundation Models.
CoRR, 2022

REST: REtrieve & Self-Train for generative action recognition.
CoRR, 2022

Efficient Attention-free Video Shift Transformers.
CoRR, 2022

iBoot: Image-bootstrapped Self-Supervised Video Representation Learning.
CoRR, 2022

Knowledge Distillation Meets Open-Set Semi-Supervised Learning.
CoRR, 2022

EdgeViTs: Competing Light-Weight CNNs on Mobile Devices with Vision Transformers.
Proceedings of the Computer Vision - ECCV 2022, 2022

Pre-training Strategies and Datasets for Facial Representation Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Estimation of continuous valence and arousal levels from faces in naturalistic conditions.
Nat. Mach. Intell., 2021

Tensor Dropout for Robust Learning.
IEEE J. Sel. Top. Signal Process., 2021

SAIC_Cambridge-HuPBA-FBK Submission to the EPIC-Kitchens-100 Action Recognition Challenge 2021.
CoRR, 2021

Pre-training strategies and datasets for facial representation learning.
CoRR, 2021

Space-time Mixing Attention for Video Transformer.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

High-Capacity Expert Binary Networks.
Proceedings of the 9th International Conference on Learning Representations, 2021

Knowledge distillation via softmax regression representation learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

Bit-Mixer: Mixed-precision networks with runtime bit-width selection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Improving Memory Banks for Unsupervised Learning with Large Mini-Batch, Consistency and Hard Negative Mining.
Proceedings of the IEEE International Conference on Acoustics, 2021

Subpixel Heatmap Regression for Facial Landmark Localization.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Defensive Tensorization.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Hierarchical Binary CNNs for Landmark Localization with Limited Resources.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

A Transfer Learning approach to Heatmap Regression for Action Unit intensity estimation.
CoRR, 2020

Knowledge distillation via adaptive instance normalization.
CoRR, 2020

Training binary neural networks with real-to-binary convolutions.
Proceedings of the 8th International Conference on Learning Representations, 2020

Towards Pose-Invariant Lip-Reading.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Toward fast and accurate human pose estimation via soft-gated skip connections.
Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

BATS: Binary ArchitecTure Search.
Proceedings of the Computer Vision - ECCV 2020, 2020

Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Semi-supervised Facial Action Unit Intensity Estimation with Contrastive Learning.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

FAN-Face: a Simple Orthogonal Improvement to Deep Face Recognition.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Incremental Multi-Domain Learning with Network Latent Tensor Factorization.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Deep learning for real world face alignment.
PhD thesis, 2019

Efficient N-Dimensional Convolutions via Higher-Order Factorization.
CoRR, 2019

Matrix and tensor decompositions for training binary neural networks.
CoRR, 2019

Improved training of binary networks for human pose estimation and image recognition.
CoRR, 2019

T-Net: Parametrizing Fully Convolutional Nets With a Single High-Order Tensor.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

XNOR-Net++: Improved binary neural networks.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
To Learn Image Super-Resolution, Use a GAN to Learn How to Do Image Degradation First.
Proceedings of the Computer Vision - ECCV 2018, 2018

Super-FAN: Integrated Facial Landmark Localization and Super-Resolution of Real-World Low Resolution Faces in Arbitrary Poses With GANs.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources.
Proceedings of the IEEE International Conference on Computer Vision, 2017

How Far are We from Solving the 2D & 3D Face Alignment Problem? (and a Dataset of 230, 000 3D Facial Landmarks).
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Two-Stage Convolutional Part Heatmap Regression for the 1st 3D Face Alignment in the Wild (3DFAW) Challenge.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Human Pose Estimation via Convolutional Part Heatmap Regression.
Proceedings of the Computer Vision - ECCV 2016, 2016

Convolutional aggregation of local evidence for large pose face alignment.
Proceedings of the British Machine Vision Conference 2016, 2016


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