| Audio-visual instance discrimination with cross-modal agreement P Morgado, N Vasconcelos, I Misra Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 280 | 2021 |
| Self-supervised generation of spatial audio for 360 video P Morgado, N Vasconcelos, T Langlois, O Wang Neural Information Processing Systems (NeurIPS), 2018 | 179 | 2018 |
| Semantically consistent regularization for zero-shot recognition P Morgado, N Vasconcelos Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 156 | 2017 |
| Learning representations from audio-visual spatial alignment P Morgado, Y Li, N Vasconcelos Neural Information Processing Systems, 2020 | 124 | 2020 |
| Predicting conversion from MCI to AD with FDG-PET brain images at different prodromal stages C Cabral, PM Morgado, DC Costa, M Silveira, ... Computers in biology and medicine 58, 101-109, 2015 | 121 | 2015 |
| Robust audio-visual instance discrimination P Morgado, I Misra, N Vasconcelos Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 118 | 2021 |
| Localizing visual sounds the easy way S Mo, P Morgado European Conference on Computer Vision, 218-234, 2022 | 64 | 2022 |
| A closer look at weakly-supervised audio-visual source localization S Mo, P Morgado Advances in Neural Information Processing Systems 35, 37524-37536, 2022 | 51 | 2022 |
| Solving long-tailed recognition with deep realistic taxonomic classifier TY Wu, P Morgado, P Wang, CH Ho, N Vasconcelos Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 51 | 2020 |
| The challenges of continuous self-supervised learning S Purushwalkam, P Morgado, A Gupta European Conference on Computer Vision, 702-721, 2022 | 39 | 2022 |
| Nettailor: Tuning the architecture, not just the weights P Morgado, N Vasconcelos Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 35 | 2019 |
| Learning state-aware visual representations from audible interactions H Mittal, P Morgado, U Jain, A Gupta Advances in Neural Information Processing Systems 35, 23765-23779, 2022 | 26 | 2022 |
| Diagnosis of Alzheimer's disease using 3D local binary patterns P Morgado, M Silveira, JS Marques Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2013 | 23 | 2013 |
| Pies: Pose invariant embeddings CH Ho, P Morgado, A Persekian, N Vasconcelos Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 18 | 2019 |
| Minimal neighborhood redundancy maximal relevance: Application to the diagnosis of Alzheimer׳ s disease PM Morgado, M Silveira, Alzheimer׳ s Disease Neuroimaging Initiative Neurocomputing 155, 295-308, 2015 | 16 | 2015 |
| A unified audio-visual learning framework for localization, separation, and recognition S Mo, P Morgado International Conference on Machine Learning, 25006-25017, 2023 | 14 | 2023 |
| Automated diagnosis of Alzheimer’s disease using PET images a study of alternative procedures for feature extraction and selection electrical and computer engineering PMM Morgado Higher Technical Institute, Technical University of Lisbon, 2012 | 12 | 2012 |
| Benchmarking and Automating the Image Recognition Capability of an In Situ Plankton Imaging System KT Le, Z Yuan, A Syed, D Ratelle, EC Orenstein, ML Carter, S Strang, ... Frontiers in Marine Science 9, 869088, 2022 | 10 | 2022 |
| Efficient selection of non-redundant features for the diagnosis of Alzheimer's disease PM Morgado, M Silveira, JS Marques 2013 IEEE 10th International Symposium on Biomedical Imaging, 640-643, 2013 | 10 | 2013 |
| Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels? CE Wu, Y Tian, H Yu, H Wang, P Morgado, YH Hu, L Yang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 7 | 2023 |
Nuno VasconcelosProfessor of Electrical and Computer Engineering, University of California San DiegoVerified email at ece.ucsd.edu
