publications

2025

  1. msmd.gif
    Model See Model Do: Speech-Driven Facial Animation with Style Control
    Yifang Pan, Karan Singh, and Luiz Gustavo Hafemann
    In SIGGRAPH, 2025
    arXiv Code Website
  2. geom.gif
    Geometry-Aware Texture Generation for 3D Head Modeling with Artist-driven Control
    Amin Fadaeinejad*, Abdallah Dib*, Luiz Gustavo Hafemann, Emeline Got, Trevor Anderson, Amaury Depierre, Nikolaus F. Troje, Marcus A Brubaker, and Marc-André Carbonneau
    CVPRW, 2025
    arXiv Website

2024

  1. serep.gif
    SEREP: Semantic Facial Expression Representation for Robust In-the-Wild Capture and Retargeting
    Arthur Josi*, Luiz Gustavo Hafemann*, Abdallah Dib, Emeline Got, Rafael MO Cruz, and Marc-Andre Carbonneau
    arXiv, 2024
    arXiv Website
  2. mosar.gif
    MoSAR: Monocular semi-supervised model for avatar reconstruction using differentiable shading
    Abdallah Dib*, Luiz Gustavo Hafemann*, Emeline Got, Trevor Anderson, Amin Fadaeinejad, Rafael MO Cruz, and Marc-André Carbonneau
    In CVPR, 2024
    arXiv HTML Code Website

2023

  1. scale_invariant.jpg
    A scale-invariant trajectory simplification method for efficient data collection in videos
    Yang Liu and Luiz G Hafemann
    In CVPRW, 2023
    arXiv Code

2021

  1. detection.jpg
    Detecting and matching related objects with one proposal multiple predictions
    Yang Liu, Luiz G Hafemann, Michael Jamieson, and Mehrsan Javan
    In CVPRW, 2021
    arXiv Code

2020

  1. DESlib: A Dynamic ensemble selection library in Python
    Rafael Cruz, Luiz Hafemann, Robert Sabourin, and George Cavalcanti
    JMLR, 2020
    arXiv Code
  2. group_activity.jpg
    Group activity detection from trajectory and video data in soccer
    Ryan Sanford*, Siavash Gorji*, Luiz G Hafemann*, Bahareh Pourbabaee, and Mehrsan Javan
    In CVPRW, 2020
    arXiv

2019

  1. ddn.jpg
    Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
    Jérôme Rony*, Luiz G Hafemann*, Luiz S Oliveira, Ismail Ben Ayed, Robert Sabourin, and Eric Granger
    2019
    arXiv HTML Code
  2. Characterizing and evaluating adversarial examples for offline handwritten signature verification
    Luiz G Hafemann, Robert Sabourin, and Luiz S Oliveira
    IEEE TIFS, 2019
    DOI arXiv Code
  3. Learning features for offline handwritten signature verification
    Luiz Gustavo Hafemann
    École de technologie supérieure, 2019
  4. Universal adversarial audio perturbations
    Sajjad Abdoli, Luiz G Hafemann, Jerome Rony, Ismail Ben Ayed, Patrick Cardinal, and Alessandro L Koerich
    arXiv, 2019
    arXiv
  5. Meta-learning for fast classifier adaptation to new users of signature verification systems
    Luiz G Hafemann, Robert Sabourin, and Luiz S Oliveira
    IEEE TIFS, 2019
    DOI arXiv Code

2018

  1. Fixed-sized representation learning from offline handwritten signatures of different sizes
    Luiz G Hafemann, Luiz S Oliveira, and Robert Sabourin
    IJDAR, 2018
    DOI arXiv Code

2017

  1. Offline handwritten signature verification—Literature review
    Luiz G Hafemann, Robert Sabourin, and Luiz S Oliveira
    In IPTA, 2017
    DOI arXiv
  2. Learning features for offline handwritten signature verification using deep convolutional neural networks
    Luiz G Hafemann, Robert Sabourin, and Luiz S Oliveira
    Pattern Recognition, 2017
    DOI arXiv Code

2016

  1. Writer-independent feature learning for offline signature verification using deep convolutional neural networks
    Luiz G Hafemann, Robert Sabourin, and Luiz S Oliveira
    In IJCNN, 2016
    arXiv Code
  2. Analyzing features learned for offline signature verification using deep cnns
    Luiz G Hafemann, Robert Sabourin, and Luiz S Oliveira
    In ICPR, 2016
    arXiv

2015

  1. Transfer learning between texture classification tasks using convolutional neural networks
    Luiz G Hafemann, Luiz S Oliveira, Paulo R Cavalin, and Robert Sabourin
    In 2015 International Joint Conference on Neural Networks (IJCNN), 2015
    PDF

2014

  1. Forest species recognition using deep convolutional neural networks
    Luiz G Hafemann, Luiz S Oliveira, and Paulo Cavalin
    In 2014 22Nd international conference on pattern recognition, 2014
    PDF
  2. An analysis of deep neural networks for texture classification
    Luiz Gustavo Hafemann
    Federal University Of Paraná, 2014
    PDF