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John McDonagh

2 accepted papers

2020

AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces

CVPR 2020poster

Several studies show that animal needs are often expressed through their faces. Though remarkable progress has been made towards the automatic understanding of human faces, this has not been the case with animal faces. There exists significant room for algorithmic advances that could realize automat…

Cited by 57PDFScholar
2017

Synergy Between Face Alignment and Tracking via Discriminative Global Consensus Optimization

ICCV 2017spotlight

An open question in facial landmark localization in video is whether one should perform tracking or tracking-by-detection (i.e. face alignment). Tracking produces fittings of high accuracy but is prone to drifting. Tracking-by-detection is drift-free but results in low accuracy fittings. To provide…

Cited by 45PDFScholar