Extending local binary patterns to 3D for the diagnosis of Alzheimer's Disease. - Pedro Miguel Morgado; Margarida Silveira; Jorge S. Marques (ISBI, 2013)

Efficient selection of non-redundant features for the diagnosis of Alzheimer'S disease. - Pedro Miguel Morgado; Margarida Silveira; Jorge S. Marques (ISBI, 2013)

Texton-based diagnosis of Alzheimer's disease. - Pedro Miguel Morgado; Margarida Silveira; Durval Campos Costa (MLSP, 2013)

Diagnosis of Alzheimer's disease using 3D local binary patterns. - Pedro Miguel Morgado; Margarida Silveira; Jorge S. Marques (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2013)

Predicting conversion from MCI to AD with FDG-PET brain images at different prodromal stages. - Carlos Cabral; Pedro Miguel Morgado; Durval Campos Costa; Margarida Silveira (Comput. Biol. Medicine, 2015)

Minimal neighborhood redundancy maximal relevance: Application to the diagnosis of Alzheimer's disease. - Pedro Miguel Morgado; Margarida Silveira (Neurocomputing, 2015)

Semantically Consistent Regularization for Zero-Shot Recognition. - Pedro Morgado 001; Nuno Vasconcelos (CVPR, 2017)

Self-Supervised Generation of Spatial Audio for 360° Video. - Pedro Morgado 001; Nuno Vasconcelos; Timothy R. Langlois; Oliver Wang (NeurIPS, 2018)

PIEs: Pose Invariant Embeddings. - Chih-Hui Ho; Pedro Morgado 001; Amir Persekian; Nuno Vasconcelos (CVPR, 2019)

NetTailor: Tuning the Architecture, Not Just the Weights. - Pedro Morgado 001; Nuno Vasconcelos (CVPR, 2019)

Solving Long-Tailed Recognition with Deep Realistic Taxonomic Classifier. - Tz-Ying Wu; Pedro Morgado 001; Pei Wang; Chih-Hui Ho; Nuno Vasconcelos (ECCV (8), 2020)

Learning Representations from Audio-Visual Spatial Alignment. - Pedro Morgado 001; Yi Li 051; Nuno Vasconcelos (NeurIPS, 2020)

Robust Audio-Visual Instance Discrimination. - Pedro Morgado 001; Ishan Misra; Nuno Vasconcelos (CVPR, 2021)

Audio-Visual Instance Discrimination with Cross-Modal Agreement. - Pedro Morgado 001; Nuno Vasconcelos; Ishan Misra (CVPR, 2021)

Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings. - Pedro Morgado 001; Yunsheng Li; José Costa Pereira; Mohammad J. Saberian; Nuno Vasconcelos (Int. J. Comput. Vis., 2021)

Localizing Visual Sounds the Easy Way. - Shentong Mo; Pedro Morgado 001 (ECCV (37), 2022)

The Challenges of Continuous Self-Supervised Learning. - Senthil Purushwalkam; Pedro Morgado 001; Abhinav Gupta 001 (ECCV (26), 2022)

Learning State-Aware Visual Representations from Audible Interactions. - Himangi Mittal; Pedro Morgado 001; Unnat Jain; Abhinav Gupta 001 (NeurIPS, 2022)

A Closer Look at Weakly-Supervised Audio-Visual Source Localization. - Shentong Mo; Pedro Morgado 001 (NeurIPS, 2022)

Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels? - Cheng-En Wu; Yu Tian; Haichao Yu; Heng Wang; Pedro Morgado 001; Yu Hen Hu; Linjie Yang (ICCV, 2023)

A Unified Audio-Visual Learning Framework for Localization, Separation, and Recognition. - Shentong Mo; Pedro Morgado 001 (ICML, 2023)

Unveiling the Power of Audio-Visual Early Fusion Transformers with Dense Interactions Through Masked Modeling. - Shentong Mo; Pedro Morgado 001 (CVPR, 2024)

Audio-Visual Generalized Zero-Shot Learning the Easy Way. - Shentong Mo; Pedro Morgado 001 (ECCV (71), 2024)

Towards Latent Masked Image Modeling for Self-supervised Visual Representation Learning. - Yibing Wei; Abhinav Gupta 001; Pedro Morgado 001 (ECCV (39), 2024)

Audio-Synchronized Visual Animation. - Lin Zhang; Shentong Mo; Yijing Zhang; Pedro Morgado 001 (ECCV (41), 2024)

Accelerating Augmentation Invariance Pretraining. - Jinhong Lin; Cheng-En Wu; Yibing Wei; Pedro Morgado 001 (NeurIPS, 2024)

Patch Ranking: Efficient CLIP by Learning to Rank Local Patches. - Cheng-En Wu; Jinhong Lin; Yu Hen Hu; Pedro Morgado 001 (CoRR, 2024)

From Prototypes to General Distributions: An Efficient Curriculum for Masked Image Modeling. - Jinhong Lin; Cheng-En Wu; Huanran Li; Jifan Zhang; Yu Hen Hu; Pedro Morgado 001 (CVPR, 2025)

Patch Ranking: Token Pruning as Ranking Prediction for Efficient CLIP. - Cheng-En Wu; Jinhong Lin; Yu Hen Hu; Pedro Morgado 001 (WACV, 2025)

Leveraging Unlabeled Audio-Visual Data in Speech Emotion Recognition using Knowledge Distillation. - Varsha Pendyala; Pedro Morgado 001; William A. Sethares (CoRR, 2025)

Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm. - Lin Zhang; Zefan Cai; Yufan Zhou; Shentong Mo; Jinhong Lin; Cheng-En Wu; Yibing Wei; Yijing Zhang; Ruiyi Zhang; Wen Xiao; Tong Sun; Junjie Hu; et al. (CoRR, 2025)