activity
20182020
most citedSolving Long-tailed Recognition with Deep Realistic Taxonomic Classifier

4 citations · 4 across the 1 of their papers we have counts for

collaborators

5 papers

cs.CV2020

Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings

Pedro Morgado, Yunsheng Li, Jose Costa Pereira +2

Image hash codes are produced by binarizing the embeddings of convolutional neural networks (CNN) trained for either classification or retrieval. While proxy embeddings achieve goo…

cs.CV20204 cited

Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier

Tz-Ying Wu, Pedro Morgado, Pei Wang +2

Long-tail recognition tackles the natural non-uniformly distributed data in real-world scenarios. While modern classifiers perform well on populated classes, its performance degrad…

cs.CV2020

Audio-Visual Instance Discrimination with Cross-Modal Agreement

Pedro Morgado, Nuno Vasconcelos, Ishan Misra

We present a self-supervised learning approach to learn audio-visual representations from video and audio. Our method uses contrastive learning for cross-modal discrimination of vi…

cs.CV2019

NetTailor: Tuning the Architecture, Not Just the Weights

Pedro Morgado, Nuno Vasconcelos

Real-world applications of object recognition often require the solution of multiple tasks in a single platform. Under the standard paradigm of network fine-tuning, an entirely new…

cs.SD2018

Self-Supervised Generation of Spatial Audio for 360 Video

Pedro Morgado, Nuno Vasconcelos, Timothy Langlois +1

We introduce an approach to convert mono audio recorded by a 360 video camera into spatial audio, a representation of the distribution of sound over the full viewing sphere. Spatia…