Art² Gallery
Sabato 1 ottobre 2016 abbiamo partecipato al Meet Me Tonight 2016. I visitatori dello stand …
Benchmarking Algorithms for Food Localization and Semantic Segmentation
We create a new dataset composed of 120,000 images of 50 diverse food categories. The images are accurately annotated with pixel-wise annotations. The dataset is augmented with the same 5,000 images but rendered under different acquisition distortions that comprise illuminant change, JPEG compression, Gaussian noise, and Gaussian blur.
Content-based retrieval of remote sensing images
We present an extensive evaluation of visual descriptors for the content-based retrieval of remote sensing (RS) images. The evaluation includes global, local, and Convolutional Neural Network (CNNs) features coupled with four different Content-Based Image Retrieval schemes.
Deep Learning for Blind Image Quality Assessment
In this work we investigate the use of deep learning for distortion-generic blind image quality assessment.
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Deep Learning for Logo Recognition
In this project we present a method for logo recognition based on deep learning. Our recognition …
Deep Learning for Product Detection
In this project we use deep learning with the aim of automatically finding products in grocery store shelves.
Fast Scene Understanding
We propose a network architecture to perform efficient scene understanding. This work presents three main …
Food 524 Database
Food524DB is the largest publicly available food dataset with 524 food classes and 247,636 images by merging food classes from existing datasets in the state of the art. This database can be used for food recognition. The database is composed of 247,636 images belonging to 524 food categories.
Food-475 Database
Food-475 database is one of the largest publicly available food database with 475 food classes and 247,636 images obtained by merging four publicly available food databases.
Hierarchical car classification
We address the task of classifying car images at multiple levels of detail, ranging from …
Illuminant Estimation Using Convolutional Neural Networks (CNNs)
In this paper we present a three-stage method for the estimation of the color of the …
Image Aesthetics
In this paper we investigate the use of a deep Convolutional Neural Network (CNN) to predict …
Large Age-Gap Face Verification
This work introduces a new method for face verification across large age gaps and also a dataset containing variations of age in the wild, the Large Age-Gap (LAG) dataset, with images ranging from child/young to adult/old.
Multitask Painting Categorization by Deep Multibranch Neural Network
In this project we propose a new deep multibranch neural network to solve the tasks …
Real Time Semantic Segmentation
Semantic segmentation architectures are mainly built upon an encoder-decoder structure. These models perform subsequent downsampling …
Single Image Dehazing
In this work we propose HR-Dehazer, a novel and accurate method for image dehazing. An …
U-WeAr: User Recognition on Wearable Devices through Arm Gesture
U-WeAr: User Recognition on Wearable Devices through Arm Gesture The use of wearable devices equipped …