Search Results for author:
Found 22 papers, 3 papers with code
Subject-Based Domain Adaptation for Facial Expression Recognition
However, previous methods for MSDA adapt image classification models across datasets and do not scale well to a larger number of source domains.
Facial Expression Recognition
Facial Expression Recognition (FER)
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Pattern Spotting and Image Retrieval in Historical Documents using Deep Hashing
This paper presents a deep learning approach for image retrieval and pattern spotting in digital collections of historical documents.
Evaluation of Self-taught Learning-based Representations for Facial Emotion Recognition
This work describes different strategies to generate unsupervised representations obtained through the concept of self-taught learning for facial emotion recognition (FER).
Multiscale Analysis for Improving Texture Classification
Image pyramid multiresolution representations are a useful data structure for image analysis and manipulation over a spectrum of spatial scales.
Discriminative Singular Spectrum Classifier with Applications on Bioacoustic Signal Recognition
Automatic analysis of bioacoustic signals is a fundamental tool to evaluate the vitality of our planet.
Self-supervised Deep Reconstruction of Mixed Strip-shredded Text Documents
The solution presented in this work extends our previous deep learning method for single-page reconstruction to a more realistic/complex scenario: the reconstruction of several mixed shredded documents at once.
Two-View Fine-grained Classification of Plant Species
Automatic plant classification is a challenging problem due to the wide biodiversity of the existing plant species in a fine-grained scenario.
Data Augmentation for Histopathological Images Based on Gaussian-Laplacian Pyramid Blending
Such a problem is troublesome because most of the ML algorithms attempt to optimize a loss function that does not take into account the data imbalance.
Continuous Emotion Recognition via Deep Convolutional Autoencoder and Support Vector Regressor
In this paper, we present a new model for continuous emotion recognition based on facial expression recognition by using an unsupervised learning approach based on transfer learning and autoencoders.
Tensor Analysis with n-Mode Generalized Difference Subspace
In this paper, we present a new method for multi-dimensional data classification that relies on two premises: 1) multi-dimensional data are usually represented by tensors, since this brings benefits from multilinear algebra and established tensor factorization methods; and 2) multilinear data can be described by a subspace of a vector space.
Universal Adversarial Audio Perturbations
We demonstrate the existence of universal adversarial perturbations, which can fool a family of audio classification architectures, for both targeted and untargeted attack scenarios.
Style Transfer Applied to Face Liveness Detection with User-Centered Models
This paper proposes a face anti-spoofing user-centered model (FAS-UCM).
Multimodal Fusion with Deep Neural Networks for Audio-Video Emotion Recognition
This paper presents a novel deep neural network (DNN) for multimodal fusion of audio, video and text modalities for emotion recognition.
Emotion Recognition Using Fusion of Audio and Video Features
In this paper we propose a fusion approach to continuous emotion recognition that combines visual and auditory modalities in their representation spaces to predict the arousal and valence levels.
Image Retrieval and Pattern Spotting using Siamese Neural Network
This paper presents a novel approach for image retrieval and pattern spotting in document image collections.
Memory Integrity of CNNs for Cross-Dataset Facial Expression Recognition
A common way to circumvent the lack of data is to use CNNs trained on large datasets of different domains and fine-tuning the layers of such networks to the target domain.
Facial Expression Recognition
Facial Expression Recognition (FER)
Texture CNN for Histopathological Image Classification
Biopsies are the gold standard for breast cancer diagnosis.
Texture CNN for Thermoelectric Metal Pipe Image Classification
In this paper, the concept of representation learning based on deep neural networks is applied as an alternative to the use of handcrafted features in a method for automatic visual inspection of corroded thermoelectric metallic pipes.
Double Transfer Learning for Breast Cancer Histopathologic Image Classification
This work proposes a classification approach for breast cancer histopathologic images (HI) that uses transfer learning to extract features from HI using an Inception-v3 CNN pre-trained with ImageNet dataset.
Histopathologic Image Processing: A Review
In this work we present a literature review about the computing techniques to process HI, including shallow and deep methods.
People Counting in Crowded and Outdoor Scenes using a Hybrid Multi-Camera Approach
For such an aim, corner points are extracted from groups of people in a foreground image and computed by a learning algorithm which estimates the number of people in the scene.
PKLot-A robust dataset for parking lot classification
To mitigate this difficulty, in this paper we introduce a new parking lot dataset composed of 695, 899 images captured from two parking lots with three different camera views.
