Convolutional aggregation of local evidence for large pose face alignment. - Adrian Bulat; Yorgos Tzimiropoulos (BMVC, 2016)

Human Pose Estimation via Convolutional Part Heatmap Regression. - Adrian Bulat; Georgios Tzimiropoulos (ECCV (7), 2016)

Two-Stage Convolutional Part Heatmap Regression for the 1st 3D Face Alignment in the Wild (3DFAW) Challenge. - Adrian Bulat; Georgios Tzimiropoulos (ECCV Workshops (2), 2016)

How Far are We from Solving the 2D & 3D Face Alignment Problem? (and a Dataset of 230, 000 3D Facial Landmarks). - Adrian Bulat; Georgios Tzimiropoulos (ICCV, 2017)

Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources. - Adrian Bulat; Georgios Tzimiropoulos (ICCV, 2017)

Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression. - Aaron S. Jackson; Adrian Bulat; Vasileios Argyriou; Georgios Tzimiropoulos (ICCV, 2017)

Super-FAN: Integrated Facial Landmark Localization and Super-Resolution of Real-World Low Resolution Faces in Arbitrary Poses With GANs. - Adrian Bulat; Georgios Tzimiropoulos (CVPR, 2018)

To Learn Image Super-Resolution, Use a GAN to Learn How to Do Image Degradation First. - Adrian Bulat; Jing Yang 038; Georgios Tzimiropoulos (ECCV (6), 2018)

XNOR-Net++: Improved binary neural networks. - Adrian Bulat; Georgios Tzimiropoulos (BMVC, 2019)

T-Net: Parametrizing Fully Convolutional Nets With a Single High-Order Tensor. - Jean Kossaifi; Adrian Bulat; Georgios Tzimiropoulos; Maja Pantic (CVPR, 2019)

Improved training of binary networks for human pose estimation and image recognition. - Adrian Bulat; Georgios Tzimiropoulos; Jean Kossaifi; Maja Pantic (CoRR, 2019)

Matrix and tensor decompositions for training binary neural networks. - Adrian Bulat; Jean Kossaifi; Georgios Tzimiropoulos; Maja Pantic (CoRR, 2019)

Efficient N-Dimensional Convolutions via Higher-Order Factorization. - Jean Kossaifi; Adrian Bulat; Yannis Panagakis; Maja Pantic (CoRR, 2019)

Deep learning for real world face alignment. - Adrian Bulat (2019)

Incremental Multi-Domain Learning with Network Latent Tensor Factorization. - Adrian Bulat; Jean Kossaifi; Georgios Tzimiropoulos; Maja Pantic (AAAI, 2020)

FAN-Face: a Simple Orthogonal Improvement to Deep Face Recognition. - Jing Yang 038; Adrian Bulat; Georgios Tzimiropoulos (AAAI, 2020)

Semi-supervised Facial Action Unit Intensity Estimation with Contrastive Learning. - Enrique Sanchez; Adrian Bulat; Anestis Zaganidis; Georgios Tzimiropoulos (ACCV (5), 2020)

Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation. - Jean Kossaifi; Antoine Toisoul; Adrian Bulat; Yannis Panagakis; Timothy M. Hospedales; Maja Pantic (CVPR, 2020)

BATS: Binary ArchitecTure Search. - Adrian Bulat; Brais Martínez; Georgios Tzimiropoulos (ECCV (23), 2020)

Toward fast and accurate human pose estimation via soft-gated skip connections. - Adrian Bulat; Jean Kossaifi; Georgios Tzimiropoulos; Maja Pantic (FG, 2020)

Towards Pose-Invariant Lip-Reading. - Shiyang Cheng 001; Pingchuan Ma 001; Georgios Tzimiropoulos; Stavros Petridis; Adrian Bulat; Jie Shen 008; Maja Pantic (ICASSP, 2020)

Training binary neural networks with real-to-binary convolutions. - Brais Martínez; Jing Yang 038; Adrian Bulat; Georgios Tzimiropoulos (ICLR, 2020)

Knowledge distillation via adaptive instance normalization. - Jing Yang 038; Brais Martínez; Adrian Bulat; Georgios Tzimiropoulos (CoRR, 2020)

A Transfer Learning approach to Heatmap Regression for Action Unit intensity estimation. - Ioanna Ntinou; Enrique Sanchez; Adrian Bulat; Michel F. Valstar; Georgios Tzimiropoulos (CoRR, 2020)

Hierarchical Binary CNNs for Landmark Localization with Limited Resources. - Adrian Bulat; Georgios Tzimiropoulos (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Defensive Tensorization. - Adrian Bulat; Jean Kossaifi; Sourav Bhattacharya; Yannis Panagakis; Timothy M. Hospedales; Georgios Tzimiropoulos; Nicholas D. Lane; Maja Pantic (BMVC, 2021)

Subpixel Heatmap Regression for Facial Landmark Localization. - Adrian Bulat; Enrique Sanchez; Georgios Tzimiropoulos (BMVC, 2021)

Improving Memory Banks for Unsupervised Learning with Large Mini-Batch, Consistency and Hard Negative Mining. - Adrian Bulat; Enrique Sánchez-Lozano; Georgios Tzimiropoulos (ICASSP, 2021)

Bit-Mixer: Mixed-precision networks with runtime bit-width selection. - Adrian Bulat; Georgios Tzimiropoulos (ICCV, 2021)

Knowledge distillation via softmax regression representation learning. - Jing Yang 038; Brais Martínez; Adrian Bulat; Georgios Tzimiropoulos (ICLR, 2021)

High-Capacity Expert Binary Networks. - Adrian Bulat; Brais Martínez; Georgios Tzimiropoulos (ICLR, 2021)

Space-time Mixing Attention for Video Transformer. - Adrian Bulat; Juan-Manuel Pérez-Rúa; Swathikiran Sudhakaran; Brais Martínez; Georgios Tzimiropoulos (NeurIPS, 2021)

Pre-training strategies and datasets for facial representation learning. - Adrian Bulat; Shiyang Cheng 001; Jing Yang 038; Andrew Garbett; Enrique Sanchez; Georgios Tzimiropoulos (CoRR, 2021)

SAIC_Cambridge-HuPBA-FBK Submission to the EPIC-Kitchens-100 Action Recognition Challenge 2021. - Swathikiran Sudhakaran; Adrian Bulat; Juan-Manuel Pérez-Rúa; Alex Falcon; Sergio Escalera; Oswald Lanz; Brais Martínez; Georgios Tzimiropoulos (CoRR, 2021)

Tensor Dropout for Robust Learning. - Arinbjörn Kolbeinsson; Jean Kossaifi; Yannis Panagakis; Adrian Bulat; Animashree Anandkumar; Ioanna Tzoulaki; Paul M. Matthews (IEEE J. Sel. Top. Signal Process., 2021)

Estimation of continuous valence and arousal levels from faces in naturalistic conditions. - Antoine Toisoul; Jean Kossaifi; Adrian Bulat; Georgios Tzimiropoulos; Maja Pantic (Nat. Mach. Intell., 2021)

Pre-training Strategies and Datasets for Facial Representation Learning. - Adrian Bulat; Shiyang Cheng 001; Jing Yang 038; Andrew Garbett; Enrique Sánchez-Lozano; Georgios Tzimiropoulos (ECCV (13), 2022)

EdgeViTs: Competing Light-Weight CNNs on Mobile Devices with Vision Transformers. - Junting Pan; Adrian Bulat; Fuwen Tan; Xiatian Zhu; Lukasz Dudziak; Hongsheng Li 001; Georgios Tzimiropoulos; Brais Martínez (ECCV (11), 2022)

iBoot: Image-bootstrapped Self-Supervised Video Representation Learning. - Fatemeh Sadat Saleh; Fuwen Tan; Adrian Bulat; Georgios Tzimiropoulos; Brais Martínez (CoRR, 2022)

Efficient Attention-free Video Shift Transformers. - Adrian Bulat; Brais Martínez; Georgios Tzimiropoulos (CoRR, 2022)

REST: REtrieve & Self-Train for generative action recognition. - Adrian Bulat; Enrique Sanchez; Brais Martínez; Georgios Tzimiropoulos (CoRR, 2022)

Language-Aware Soft Prompting for Vision & Language Foundation Models. - Adrian Bulat; Georgios Tzimiropoulos (CoRR, 2022)

Variational prompt tuning improves generalization of vision-language models. - Mohammad Mahdi Derakhshani; Enrique Sanchez; Adrian Bulat; Victor Guilherme Turrisi da Costa; Cees G. M. Snoek; Georgios Tzimiropoulos; Brais Martínez (CoRR, 2022)

LASP: Text-to-Text Optimization for Language-Aware Soft Prompting of Vision & Language Models. - Adrian Bulat; Georgios Tzimiropoulos (CVPR, 2023)

FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training. - Adrian Bulat; Ricardo Guerrero; Brais Martínez; Georgios Tzimiropoulos (ICCV, 2023)

ReGen: A good Generative zero-shot video classifier should be Rewarded. - Adrian Bulat; Enrique Sanchez; Brais Martínez; Georgios Tzimiropoulos (ICCV, 2023)

Bayesian Prompt Learning for Image-Language Model Generalization. - Mohammad Mahdi Derakhshani; Enrique Sanchez; Adrian Bulat; Victor Guilherme Turrisi da Costa; Cees G. M. Snoek; Georgios Tzimiropoulos; Brais Martínez (ICCV, 2023)

Black Box Few-Shot Adaptation for Vision-Language models. - Yassine Ouali; Adrian Bulat; Brais Martínez; Georgios Tzimiropoulos (ICCV, 2023)

SimDETR: Simplifying self-supervised pretraining for DETR. - Ioannis Maniadis Metaxas; Adrian Bulat; Ioannis Patras; Brais Martínez; Georgios Tzimiropoulos (CoRR, 2023)

A Transfer Learning Approach to Heatmap Regression for Action Unit Intensity Estimation. - Ioanna Ntinou; Enrique Sánchez-Lozano; Adrian Bulat; Michel F. Valstar; Georgios Tzimiropoulos (IEEE Trans. Affect. Comput., 2023)

FFF: Fixing Flawed Foundations in contrastive pre-training results in very strong Vision-Language models. - Adrian Bulat; Yassine Ouali; Georgios Tzimiropoulos (CVPR, 2024)

You Only Need One Step: Fast Super-Resolution with Stable Diffusion via Scale Distillation. - Mehdi Noroozi; Isma Hadji; Brais Martínez; Adrian Bulat; Georgios Tzimiropoulos (ECCV (29), 2024)

CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing Hallucinations in LVLMs. - Yassine Ouali; Adrian Bulat; Brais Martínez; Georgios Tzimiropoulos (ECCV (76), 2024)

Efficient Vision-Language pre-training via domain-specific learning for human activities. - Adrian Bulat; Yassine Ouali; Ricardo Guerrero; Brais Martínez; Georgios Tzimiropoulos (EMNLP, 2024)

QBB: Quantization with Binary Bases for LLMs. - Adrian Bulat; Yassine Ouali; Georgios Tzimiropoulos (NeurIPS, 2024)

Discriminative Fine-tuning of LVLMs. - Yassine Ouali; Adrian Bulat; Alexandros Xenos; Anestis Zaganidis; Ioannis Maniadis Metaxas; Brais Martínez; Georgios Tzimiropoulos (CoRR, 2024)

Language-Aware Soft Prompting: Text-to-Text Optimization for Few- and Zero-Shot Adaptation of V &L Models. - Adrian Bulat; Georgios Tzimiropoulos (Int. J. Comput. Vis., 2024)

FAM Diffusion: Frequency and Attention Modulation for High-Resolution Image Generation with Stable Diffusion. - Haosen Yang 003; Adrian Bulat; Isma Hadji; Hai X. Pham; Xiatian Zhu; Georgios Tzimiropoulos; Brais Martínez (CVPR, 2025)

VladVA: Discriminative Fine-tuning of LVLMs. - Yassine Ouali; Adrian Bulat; Alexandros Xenos; Anestis Zaganidis; Ioannis Maniadis Metaxas; Brais Martínez; Georgios Tzimiropoulos (CVPR, 2025)

Knowledge Distillation Meets Open-Set Semi-supervised Learning. - Jing Yang 038; Xiatian Zhu; Adrian Bulat; Brais Martínez; Georgios Tzimiropoulos (Int. J. Comput. Vis., 2025)

Fwd2Bot: LVLM Visual Token Compression with Double Forward Bottleneck. - Adrian Bulat; Yassine Ouali; Georgios Tzimiropoulos (CoRR, 2025)

Multi-scale Image Super Resolution with a Single Auto-Regressive Model. - Enrique Sánchez-Lozano; Isma Hadji; Adrian Bulat; Christos Tzelepis; Brais Martínez; Georgios Tzimiropoulos (CoRR, 2025)