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Convolutional face finder: a neural architecture for fast and robust face detection

https://doi.org/10.1109/tpami.2004.97

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1006/cviu.2001.0921openalex-snapshot

Face Detection: A Survey

inferredcites →https://doi.org/10.1006/cviu.2001.0937openalex-snapshot

Face Detection Using Multimodal Density Models

inferredcites →https://doi.org/10.1007/3-540-47979-1_5openalex-snapshot

Statistical Learning of Multi-view Face Detection

inferredcites →https://doi.org/10.1007/bf00055801openalex-snapshot

Locating human faces in photographs

inferredcites →https://doi.org/10.1007/bf00342633openalex-snapshot

Cognitron: A self-organizing multilayered neural network

inferredcites →https://doi.org/10.1016/0031-3203(94)90017-5openalex-snapshot

Human face detection in a complex background

inferredcites →https://doi.org/10.1016/s0031-3203(96)00034-9openalex-snapshot

Extracting facial features by an inhibitory mechanism based on gradient distributions

inferredcites →https://doi.org/10.1016/s0031-3203(97)00048-4openalex-snapshot

Facial feature detection using geometrical face model: An efficient approach

inferredcites →https://doi.org/10.1016/s0031-3203(99)00130-2openalex-snapshot

Real-time face location on gray-scale static images

inferredcites →https://doi.org/10.1016/s0262-8856(97)00003-6openalex-snapshot

Feature-based human face detection

inferredcites →https://doi.org/10.1016/s0262-8856(99)00056-6openalex-snapshot

Wavelet packet analysis for face recognition

inferredcites →https://doi.org/10.1023/a:1011113216584openalex-snapshot

Coarse-to-Fine Face Detection

inferredcites →https://doi.org/10.1023/b:visi.0000013087.49260.fbopenalex-snapshot

Robust Real-Time Face Detection

inferredcites →https://doi.org/10.1049/ip-vis:19941301openalex-snapshot

Original approach for the localisation of objects in images

inferredcites →https://doi.org/10.1109/34.598227openalex-snapshot

Probabilistic visual learning for object representation

inferredcites →https://doi.org/10.1109/34.598235openalex-snapshot

Face recognition by elastic bunch graph matching

inferredcites →https://doi.org/10.1109/34.655647openalex-snapshot

Neural network-based face detection

inferredcites →https://doi.org/10.1109/34.655648openalex-snapshot

Example-based learning for view-based human face detection

inferredcites →https://doi.org/10.1109/34.899945openalex-snapshot

A fast and accurate face detector based on neural networks

inferredcites →https://doi.org/10.1109/34.982883openalex-snapshot

Detecting faces in images: a survey

inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot

Gradient-based learning applied to document recognition

inferredcites →https://doi.org/10.1109/6046.784465openalex-snapshot

Face detection using quantized skin color regions merging and wavelet packet analysis

inferredcites →https://doi.org/10.1109/72.554195openalex-snapshot

Face recognition: a convolutional neural-network approach

inferredcites →https://doi.org/10.1109/cvpr.1997.609310openalex-snapshot

Training support vector machines: an application to face detection

inferredcites →https://doi.org/10.1109/cvpr.1997.609415openalex-snapshot

Face detection with information-based maximum discrimination

inferredcites →https://doi.org/10.1109/cvpr.1998.698585openalex-snapshot

Rotation invariant neural network-based face detection

inferredcites →https://doi.org/10.1109/cvpr.1998.698721openalex-snapshot

Rotation Invariant Neural Network-Based Face Detection

inferredcites →https://doi.org/10.1109/cvpr.2000.855895openalex-snapshot

A statistical method for 3D object detection applied to faces and cars

inferredcites →https://doi.org/10.1109/cvpr.2001.990517openalex-snapshot

Rapid object detection using a boosted cascade of simple features

inferredcites →https://doi.org/10.1109/icip.1997.638822openalex-snapshot

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inferredcites →https://doi.org/10.1109/icnn.1993.298793openalex-snapshot

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inferredcites →https://doi.org/10.1109/icpr.2002.1048232openalex-snapshot

A neural architecture for fast and robust face detection

inferredcites →https://doi.org/10.1109/tpami.2003.1201822openalex-snapshot

A bayesian discriminating features method for face detection

inferredcites →https://doi.org/10.1113/jphysiol.1962.sp006837openalex-snapshot

Receptive fields, binocular interaction and functional architecture in the cat's visual cortex

inferredcites →https://doi.org/10.1162/neco.1993.5.3.419openalex-snapshot

Centered-Object Integrated Segmentation and Recognition of Overlapping Handprinted Characters

inferredcites →https://doi.org/10.1201/9780203750520-11openalex-snapshot

Face Recognition by Elastic Bunch Graph Matching*†

inferredcites →https://doi.org/10.57702/yobif9bgopenalex-snapshot

Gradient-based learning applied to document recognition

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Learning scale-variant and scale-invariant features for deep image classification

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Facial expression recognition with Convolutional Neural Networks: Coping with few data and the training sample order

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Accurate object detection using memory-based models in surveillance scenes

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Breast cancer diagnosis in DCE-MRI using mixture ensemble of convolutional neural networks

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Real-time facial feature localization by combining space displacement neural networks

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Face detection using simplified Gabor features and hierarchical regions in a cascade of classifiers

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Multi-view fast object detection by using extended haar filters in uncontrolled environments

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A Posture Recognition Method Applied to Smart Product Service

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Deep self-attention network for facial emotion recognition

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From a Wizard of Oz experiment to a real time speech and gesture multimodal interface

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Large-Scale FPGA-Based Convolutional Networks

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Deep learning

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Single-Sensor Source Localization Using Electromagnetic Time Reversal and Deep Transfer Learning: Application to Lightning

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Converting tabular data into images for deep learning with convolutional neural networks

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Recognition of Mould Colony on Unhulled Paddy Based on Computer Vision using Conventional Machine-learning and Deep Learning Techniques

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Brain tumor segmentation using convolutional neural networks

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Automatic classification of pavement crack using deep convolutional neural network

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Deep learning classification in asteroseismology

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Deep learning classification in asteroseismology using an improved neural network: results on 15 000 Kepler red giants and applications to K2 and TESS data

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Artificial intelligence and its applications in digital hematopathology

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Profile approach for recognition of three-dimensional magnetic structures

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A convolutional neural network approach to calibrating the rotation axis for X-ray computed tomography

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A Stacked Multi-Granularity Convolution Denoising Auto-Encoder

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Transfer Learning Benchmark for Cardiovascular Disease Recognition

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Towards the Integration of Reliability and Security Mechanisms to Enhance the Fault Resilience of Neural Networks

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Integrated Single Shot Multi-Box Detector and Efficient Pre-Trained Deep Convolutional Neural Network for Partially Occluded Face Recognition System

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Deep Learning-based Approaches for Preventing and Predicting Wild Animals Disappearance: A Review

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Vehicle Detection in Satellite Images by Parallel Deep Convolutional Neural Networks

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3D facial pose estimation by image retrieval

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Face detection by cascade of Gaussian derivates classifiers calculated with a half-octave pyramid

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Hybrid sensing face detection and recognition

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Pre Cardiac Failure Detection using different supervised Machine Learning Methods with CNN

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QR code detection using convolutional neural networks

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Enhancing face recognition from video sequences using robust statistics

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Facial biometry by stimulating salient singularity masks

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Learning a bag of features based nonlinear metric for facial similarity

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Digital architecture for real-time CNN-based face detection for video processing

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How Large-Scale Training Samples Effect Face Detector? An Empirical Analysis

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Particle Swarm Optimization based Adaboost for face detection

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Lesion border detection using deep learning

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An Inference Accelerator Design for Sparse Convolution Neural Network

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Face Recognition: A Fourier Transform and SVD Based Approach

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A car detection system based on hierarchical visual features

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Multi-pose Face Detection Based on Adaptive Skin Color and Structure Model

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Brain tumor image segmentation based on convolution neural network

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Radar emitter recognition based on the short time fourier transform and convolutional neural networks

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Accounting for Groundtruth Subjectivity in Comparing Face Detection Techniques

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Flexible Object Models for Category-Level 3D Object Recognition

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A robust descriptor based on Weber’s Law

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Locally Assembled Binary (LAB) feature with feature-centric cascade for fast and accurate face detection

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Enhanced Pictorial Structures for precise eye localization under incontrolled conditions

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Pedestrian Detection with Unsupervised Multi-stage Feature Learning

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Brain-Inspired Classroom Occupancy Monitoring on a Low-Power Mobile Platform

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Key Frame Extraction of Assembly Process Based on Deep Learning

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Combining Multi-scale Character Recognition and Linguistic Knowledge for Natural Scene Text OCR

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A Locality Aware Convolutional Neural Networks Accelerator

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Fast rotation invariant face detection in color image using multi-classifier combination method

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A method for feature extraction of traffic sign detection and the system for real world scene

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Feature extraction using pre-trained convolutive bottleneck nets for dysarthric speech recognition

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Embedded Implementation of a Deep Learning Smile Detector

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fpgaConvNet: A Framework for Mapping Convolutional Neural Networks on FPGAs

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Eye localization through multiscale sparse dictionaries

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Face and landmark detection by using cascade of classifiers

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Prediction gradients for feature extraction and analysis from convolutional neural networks

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Nested Shallow CNN-Cascade for Face Detection in the Wild

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CNP: An FPGA-based processor for Convolutional Networks

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An FPGA-based processor for training convolutional neural networks

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How to deal with multi-source data for tree detection based on deep learning

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