activity
20152021
most citedDeep Representations for Cross-spectral Ocular Biometrics

22 citations · 34 across the 6 of their papers we have counts for

collaborators

12 papers

cs.CV2021

YinYang-Net: Complementing Face and Body Information for Wild Gender Recognition

Tiago Roxo, Hugo Proença

Soft biometrics inference in surveillance scenarios is a topic of interest for various applications, particularly in security-related areas. However, soft biometric analysis is not…

cs.CV2021

Is Gender "In-the-Wild" Inference Really a Solved Problem?

Tiago Roxo, Hugo Proença

Soft biometrics analysis is seen as an important research topic, given its relevance to various applications. However, even though it is frequently seen as a solved task, it can st…

cs.CV2020

The UU-Net: Reversible Face De-Identification for Visual Surveillance Video Footage

Hugo Proença

We propose a reversible face de-identification method for low resolution video data, where landmark-based techniques cannot be reliably used. Our solution is able to generate a pho…

cs.CV20202 cited

A Symbolic Temporal Pooling method for Video-based Person Re-Identification

S V Aruna Kumar, Ehsan Yaghoubi, Hugo Proença

In video-based person re-identification, both the spatial and temporal features are known to provide orthogonal cues to effective representations. Such representations are currentl…

cs.CV20205 cited

The P-DESTRE: A Fully Annotated Dataset for Pedestrian Detection, Tracking, Re-Identification and Search from Aerial Devices

S. V. Aruna Kumar, Ehsan Yaghoubi, Abhijit Das +2

Over the last decades, the world has been witnessing growing threats to the security in urban spaces, which has augmented the relevance given to visual surveillance solutions able…

cs.CV2020

An Attention-Based Deep Learning Model for Multiple Pedestrian Attributes Recognition

Ehsan Yaghoubi, Diana Borza, João Neves +2

The automatic characterization of pedestrians in surveillance footage is a tough challenge, particularly when the data is extremely diverse with cluttered backgrounds, and subjects…