Browsing by Author "Rubio Romano, Antonio"
Now showing items 1-9 of 9
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3D pose estimation using convolutional neural networks
(Universitat Politècnica de Catalunya, 2015-10)
Master thesis
Open AccessThe present Master Thesis describes a new Pose Estimation method based on Convolutional Neural Networks (CNN). This method divides the three-dimensional space in several regions and, given an input image, returns the ... -
An automotive case study on the limits of approximation for object detection
(2023-05)
Article
Restricted access - publisher's policyThe accuracy of camera-based object detection (CBOD) built upon deep learning is often evaluated against the real objects in frames only. However, such simplistic evaluation ignores the fact that many unimportant objects ... -
BASS: boundary-aware superpixel segmentation
(IEEE Press, 2016)
Conference report
Open AccessWe propose a new superpixel algorithm based on exploiting the boundary information of an image, as objects in images can generally be described by their boundaries. Our proposed approach initially estimates the boundaries ... -
Efficient monocular pose estimation for complex 3D models
(Institute of Electrical and Electronics Engineers (IEEE), 2015)
Conference report
Open AccessWe propose a robust and efficient method to estimate the pose of a camera with respect to complex 3D textured models of the environment that can potentially contain more than 100, 000 points. To tackle this problem we ... -
Estimación monocular y eficiente de la pose usando modelos 3D complejos
(2014)
Conference report
Open AccessEl siguiente documento presenta un método robusto y eficiente para estimar la pose de una cámara. El método propuesto asume el conocimiento previo de un modelo 3D del entorno, y compara una nueva imagen de entrada únicamente ... -
Fashion discovery : a computer vision approach
(2021-07-23)
Doctoral thesis
Open AccessPerforming semantic interpretation of fashion images is undeniably one of the most challenging domains for computer vision. Subtle variations in color and shape might confer different meanings or interpretations to an ... -
Multi-modal embedding for main product detection in fashion
(2017)
Conference report
Open AccessWe present an approach to detect the main product in fashion images by exploiting the textual metadata associated with each image. Our approach is based on a Convolutional Neural Network and learns a joint embedding of ... -
Multi-modal fashion product retrieval
(2017)
Conference report
Open AccessFinding a product in the fashion world can be a daunting task. Everyday, e-commerce sites are updating with thousands of images and their associated metadata (textual information), deepening the problem. In this paper, we ... -
Multi-modal joint embedding for fashion product retrieval
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Conference report
Open AccessFinding a product in the fashion world can be a daunting task. Everyday, e-commerce sites are updating with thousands of images and their associated metadata (textual information), deepening the problem, akin to finding a ...
