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20172020
most citedSurvey on Reliable Deep Learning-Based Person Re-Identification Models: Are We There Yet?

18 citations · 25 across the 4 of their papers we have counts for

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cs.CV202018 cited

Survey on Reliable Deep Learning-Based Person Re-Identification Models: Are We There Yet?

Bahram Lavi, Ihsan Ullah, Mehdi Fatan +1

Intelligent video-surveillance (IVS) is currently an active research field in computer vision and machine learning and provides useful tools for surveillance operators and forensic…

cs.CV2020

Learning Transformation-Aware Embeddings for Image Forensics

Aparna Bharati, Daniel Moreira, Patrick Flynn +3

A dramatic rise in the flow of manipulated image content on the Internet has led to an aggressive response from the media forensics research community. New efforts have incorporate…

cs.CV2019

An In-Depth Study on Open-Set Camera Model Identification

Pedro Ribeiro Mendes Júnior, Luca Bondi, Paolo Bestagini +2

Camera model identification refers to the problem of linking a picture to the camera model used to shoot it. As this might be an enabling factor in different forensic applications…

cs.CV2019

Dynamic Spatial Verification for Large-Scale Object-Level Image Retrieval

Joel Brogan, Aparna Bharati, Daniel Moreira +4

Images from social media can reflect diverse viewpoints, heated arguments, and expressions of creativity, adding new complexity to retrieval tasks. Researchers working onContent-Ba…

cs.CV20196 cited

FaceSpoof Buster: a Presentation Attack Detector Based on Intrinsic Image Properties and Deep Learning

Rodrigo Bresan, Allan Pinto, Anderson Rocha +2

Nowadays, the adoption of face recognition for biometric authentication systems is usual, mainly because this is one of the most accessible biometric modalities. Techniques that re…

cs.CV2018

Ensemble of Multi-View Learning Classifiers for Cross-Domain Iris Presentation Attack Detection

Andrey Kuehlkamp, Allan Pinto, Anderson Rocha +2

The adoption of large-scale iris recognition systems around the world has brought to light the importance of detecting presentation attack images (textured contact lenses and print…