Search Results for author:
Found 18 papers, 5 papers with code
A Graph-Based Method for Soccer Action Spotting Using Unsupervised Player Classification
Action spotting in soccer videos is the task of identifying the specific time when a certain key action of the game occurs.
Photorealistic Facial Wrinkles Removal
In this work, we revisit a two-stage approach for retouching facial wrinkles and obtain results with unprecedented realism.
An Analysis of Generative Methods for Multiple Image Inpainting
In this work, we focus on learning-based image completion methods for multiple and diverse inpainting which goal is to provide a set of distinct solutions for a given damaged image.
Analysis of Different Losses for Deep Learning Image Colorization
While learning to automatically colorize an image, one can define well-suited objective functions related to the desired color output.
Influence of Color Spaces for Deep Learning Image Colorization
In this chapter, we aim to study their influence on the results obtained by training a deep neural network, to answer the question: "Is it crucial to correctly choose the right color space in deep-learning based colorization?".
Learning Football Body-Orientation as a Matter of Classification
Orientation is a crucial skill for football players that becomes a differential factor in a large set of events, especially the ones involving passes.
Automatic Flare Spot Artifact Detection and Removal in Photographs
Flare spot is one type of flare artifact caused by a number of conditions, frequently provoked by one or more high-luminance sources within or close to the camera field of view.
Self-Supervised Small Soccer Player Detection and Tracking
In a soccer game, the information provided by detecting and tracking brings crucial clues to further analyze and understand some tactical aspects of the game, including individual and team actions.
Using Player's Body-Orientation to Model Pass Feasibility in Soccer
Given a monocular video of a soccer match, this paper presents a computational model to estimate the most feasible pass at any given time.
Always Look on the Bright Side of the Field: Merging Pose and Contextual Data to Estimate Orientation of Soccer Players
Although orientation has proven to be a key skill of soccer players in order to succeed in a broad spectrum of plays, body orientation is a yet-little-explored area in sports analytics' research.
History-based Anomaly Detector: an Adversarial Approach to Anomaly Detection
Anomaly detection is a difficult problem in many areas and has recently been subject to a lot of attention.
ChromaGAN: Adversarial Picture Colorization with Semantic Class Distribution
In this paper, we propose an adversarial learning colorization approach coupled with semantic information.
Multi-Person tracking by multi-scale detection in Basketball scenarios
The presented system could be used as a source of data gathering in order to extract useful statistics and semantic analyses a posteriori.
Single-Camera Basketball Tracker through Pose and Semantic Feature Fusion
Tracking sports players is a widely challenging scenario, specially in single-feed videos recorded in tight courts, where cluttering and occlusions cannot be avoided.
Semantic Image Inpainting Through Improved Wasserstein Generative Adversarial Networks
Image inpainting is the task of filling-in missing regions of a damaged or incomplete image.
Automatic Flare Spot Artifacts Detection and Removal in Photographs
Flare spot is one type of flare artifact caused by a number of conditions, frequently provoked by one or more high-luminance sources within or close to the camera field of view.
FALDOI: A new minimization strategy for large displacement variational optical flow
We propose a large displacement optical flow method that introduces a new strategy to compute a good local minimum of any optical flow energy functional.
A Computational Model for Amodal Completion
This paper presents a computational model to recover the most likely interpretation of the 3D scene structure from a planar image, where some objects may occlude others.
