• Litter Detection with Deep Learning: A Comparative Study 

      Cordova, Manuel; Pinto, Allan; Hellevik, Christina Carrozzo; Alaliyat, Saleh Abdel-Afou; Hameed, Ibrahim A.; Pedrini, Helio; Torres, Ricardo da S. (Peer reviewed; Journal article, 2022)
      Pollution in the form of litter in the natural environment is one of the great challenges of our times. Automated litter detection can help assess waste occurrences in the environment. Different machine learning solutions ...
    • Parallax Motion Effect Generation Through Instance Segmentation And Depth Estimation 

      Pinto, Allan; Cordova, Manuel; Decker, Luis; Campana, Jose; Souza, Marcos; Andreza, Santos; Jhonatas, Conceição; Gagliardi, Henrique; Luvizon, Diogo; Torres, Ricardo Da Silva; Pedrini, Helio (Chapter, 2020)
      Stereo vision is a growing topic in computer vision due to the innumerable opportunities and applications this technology offers for the development of modern solutions, such as virtual and augmented reality applications. ...
    • Pelee-Text++: A Tiny Neural Network for Scene Text Detection 

      Cordova, Manuel; Pinto, Allan; Pedrini, Helio; Torres, Ricardo Da Silva (Journal article; Peer reviewed, 2020)
      Scene text detection has become an important field in the computer vision area due to the increasing number of applications. This is a very challenging problem as textual elements are commonly found in “noisy” and complex ...
    • The PlastOPol system for marine litter monitoring by citizen scientists 

      Wu, Di; Liu, Jincheng; Cordova, Manuel; Hellevik, Christina Carrozzo; Cyvin, Jakob Bonnevie; Pinto, Allan; Hameed, Ibrahim A.; Pedrini, Helio; Da Silva Torres, Ricardo; Fet, Annik Magerholm (Peer reviewed; Journal article, 2023)
      Marine plastic pollution has in recent decades become ubiquitous, posing threats to flora, fauna, and potentially human health. Proper monitoring and registration of litter occurrences are, therefore, of paramount importance ...