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Book ChapterDOI

IIIT-CFW: A Benchmark Database of Cartoon Faces in the Wild

TLDR
This database contains 8,928 annotated images of cartoon faces of 100 public figures and will be useful in conducting research on spectrum of problems associated with cartoon understanding.
Abstract
In this paper, we introduce the cartoon faces in the wild (IIIT-CFW) database and associated problems. This database contains 8,928 annotated images of cartoon faces of 100 public figures. It will be useful in conducting research on spectrum of problems associated with cartoon understanding. Note that to our knowledge, such realistic and large databases of cartoon faces are not available in the literature.

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Posted Content

Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks

TL;DR: This article reviews the recent literature on object detection with deep CNN, in a comprehensive way, and provides an in-depth view of these recent advances.
Proceedings Article

WebCaricature: a benchmark for caricature recognition

TL;DR: A new caricature dataset is built, with the objective to facilitate research in caricature recognition, and a framework for caricature face recognition is presented to make a thorough analyze of the challenges of caricature recognition.
Journal ArticleDOI

Universal Face Photo-Sketch Style Transfer via Multiview Domain Translation

TL;DR: A novel universal face photo-sketch style transfer method that does not need any image from the source domain for training and flexibly leverages a convolutional neural network representation with hand-crafted features in an optimal way is presented.
Proceedings ArticleDOI

Cartoon Face Recognition: A Benchmark Dataset

TL;DR: This work presents a new challenging benchmark dataset, consisting of 389,678 images of 5,013 cartoon characters annotated with identity, bounding box, pose, and other auxiliary attributes, and proposes a multi-task domain adaptation approach that jointly utilizes the human and cartoon domain knowledge with three discriminative regularizations.
Journal ArticleDOI

Unpaired photo-to-caricature translation on faces in the wild

TL;DR: Zheng et al. as mentioned in this paper designed a dual pathway model with one coarse discriminator and one fine discriminator to capture global structure with local statistics while translation, which can also be used for other high-level image-to-image translation tasks.
References
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Journal ArticleDOI

Face Hallucination: Theory and Practice

TL;DR: This paper study face hallucination, or synthesizing a high-resolution face image from an input low-resolution image, with the help of a large collection of other high- resolution face images to generate photorealistic face images.
Journal ArticleDOI

Face Recognition: A Literature Review

TL;DR: In this article, an up-to-date review of major human face recognition research is provided, including a review of the most recent face recognition techniques and their applications, as well as a summary of the research results.
Journal ArticleDOI

Hybrid Deep Learning for Face Verification

TL;DR: This work proposes a hybrid convolutional network-Restricted Boltzmann Machine model for face verification in wild conditions to directly learn relational visual features, which indicate identity similarities, from raw pixels of face pairs with a hybrid deep network.
Proceedings ArticleDOI

Hybrid Deep Learning for Face Verification

TL;DR: This work proposes a hybrid convolutional network-Restricted Boltzmann Machine model for face verification in wild conditions to directly learn relational visual features, which indicate identity similarities, from raw pixels of face pairs with a hybrid deep network.
Journal ArticleDOI

Anthropometric 3D Face Recognition

TL;DR: A novel anthropometric three dimensional (Anthroface 3D) face recognition algorithm, which is based on a systematically selected set of discriminatory structural characteristics of the human face derived from the existing scientific literature on facial anthropometry, is presented.