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20122023
most citedDo We Really Need to Collect Millions of Faces for Effective Face Recognition?

71 citations · 208 across the 16 of their papers we have counts for

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Showing 2016Show all

7 papers · 1 filter

cs.CV2016★ 12 cited

Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network

Anh Tuan Tran, Tal Hassner, Iacopo Masi +1

The 3D shapes of faces are well known to be discriminative. Yet despite this, they are rarely used for face recognition and always under controlled viewing conditions. We claim tha…

cs.LG2016★ 1 cited

Graph-Based Manifold Frequency Analysis for Denoising

Shay Deutsch, Antonio Ortega, Gerard Medioni

We propose a new framework for manifold denoising based on processing in the graph Fourier frequency domain, derived from the spectral decomposition of the discrete graph Laplacian…

cs.CV2016

Pooling Faces: Template based Face Recognition with Pooled Face Images

Tal Hassner, Iacopo Masi, Jungyeon Kim +4

We propose a novel approach to template based face recognition. Our dual goal is to both increase recognition accuracy and reduce the computational and storage costs of template ma…

cs.CV2016

Capturing Dynamic Textured Surfaces of Moving Targets

Ruizhe Wang, Lingyu Wei, Etienne Vouga +4

We present an end-to-end system for reconstructing complete watertight and textured models of moving subjects such as clothed humans and animals, using only three or four handheld…

cs.CV2016★ 71 cited

Do We Really Need to Collect Millions of Faces for Effective Face Recognition?

Iacopo Masi, Anh Tuan Tran, Jatuporn Toy Leksut +2

Face recognition capabilities have recently made extraordinary leaps. Though this progress is at least partially due to ballooning training set sizes -- huge numbers of face images…

cs.CV2016★ 1 cited

Exploring Local Context for Multi-target Tracking in Wide Area Aerial Surveillance

Bor-Jeng Chen, Gerard Medioni

Tracking many vehicles in wide coverage aerial imagery is crucial for understanding events in a large field of view. Most approaches aim to associate detections from frame differen…

cs.CV2016★ 21 cited

Face Recognition Using Deep Multi-Pose Representations

Wael AbdAlmageed, Yue Wua, Stephen Rawlsa +9

We introduce our method and system for face recognition using multiple pose-aware deep learning models. In our representation, a face image is processed by several pose-specific de…