World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
8626
World Ranking
7541
National Ranking
3279

Overview

Samuel Rota Bulò is affiliated with Facebook in the United States and has contributed extensively to research in computer science and engineering. Their work focuses primarily on areas such as computer vision, artificial intelligence, and aerospace engineering, with particular emphasis on advanced neural network applications and domain adaptation techniques.

The scientist's research spans several specialized subfields including:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Aerospace Engineering
  • Computer Graphics and Computer-Aided Design
  • Computational Mechanics

Main topics of their research include:

  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Vision and Imaging
  • Robotics and Sensor-Based Localization
  • Human Pose and Action Recognition
  • Computer Graphics and Visualization Techniques
  • Generative Adversarial Networks and Image Synthesis

Samuel Rota Bulò has published numerous papers in prominent venues with contributions to the following recent works:

  • "Modeling the Background for Incremental Learning in Semantic Segmentation", 2020, Institutional Research Information System (Università degli Studi di Trento)
  • "Disentangling Monocular 3D Object Detection: From Single to Multi-Class Recognition", 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "AutoRF: Learning 3D Object Radiance Fields from Single View Observations", 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Are we Missing Confidence in Pseudo-LiDAR Methods for Monocular 3D Object Detection?", 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "MultiDIAL: Domain Alignment Layers for (Multisource) Unsupervised Domain Adaptation", 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence

The scientist has collaborated frequently with a group of co-authors, with multiple joint publications alongside:

  • Peter Kontschieder (23 collaborations)
  • Lorenzo Porzi (20 collaborations)
  • Elisa Ricci (9 collaborations)
  • Matthias Nießner (6 collaborations)
  • Norman Müller (6 collaborations)

Their research outputs have appeared regularly in several key publication venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Lecture Notes in Computer Science
  • Institutional Research Information System (Università degli Studi di Trento)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Best Publications

  • The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes

    Gerhard Neuhold;Tobias Ollmann;Samuel Rota Bulo;Peter Kontschieder

  • Deep Neural Decision Forests

    Peter Kontschieder;Madalina Fiterau;Antonio Criminisi;Samuel Rota Bulo

  • Disentangling Monocular 3D Object Detection

    Andrea Simonelli;Samuel Rota Bulo;Lorenzo Porzi;Manuel Lopez-Antequera

  • In-place Activated BatchNorm for Memory-Optimized Training of DNNs

    Samuel Rota Bulo;Lorenzo Porzi;Peter Kontschieder

  • AutoDIAL: Automatic Domain Alignment Layers

    Fabio Maria Cariucci;Lorenzo Porzi;Barbara Caputo;Elisa Ricci

  • Modeling the Background for Incremental Learning in Semantic Segmentation

    Fabio Cermelli;Massimiliano Mancini;Samuel Rota Bulo;Elisa Ricci

  • Structured class-labels in random forests for semantic image labelling

    Peter Kontschieder;Samuel Rota Bulo;Horst Bischof;Marcello Pelillo

  • Seamless Scene Segmentation

    Lorenzo Porzi;Samuel Rota Bulo;Aleksander Colovic;Peter Kontschieder

  • A Game-Theoretic Approach to Hypergraph Clustering

    Samuel R. Bulò;Marcello Pelillo

  • Dense Non-rigid Shape Correspondence Using Random Forests

    Emanuele Rodolà;Samuel Rota Bulò;Thomas Windheuser;Matthias Vestner

  • DiffRF: Rendering-Guided 3D Radiance Field Diffusion

    Unknown

  • Boosting Domain Adaptation by Discovering Latent Domains

    Massimiliano Mancini;Lorenzo Porzi;Samuel Rota Bulo;Barbara Caputo

  • Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss

    Subhankar Roy;Aliaksandr Siarohin;Enver Sangineto;Samuel Rota Bulo

  • Neural Decision Forests for Semantic Image Labelling

    Samuel Rota Bulò;Peter Kontschieder

  • Is data clustering in adversarial settings secure

    Battista Biggio;Ignazio Pillai;Samuel Rota Bulò;Davide Ariu

  • Predicting and Understanding Urban Perception with Convolutional Neural Networks

    Lorenzo Porzi;Samuel Rota Bulò;Bruno Lepri;Elisa Ricci

  • A Game-Theoretic Approach to Hypergraph Clustering

    Samuel Rota Bul #x F;Marcello Pelillo

  • Best Sources Forward: Domain Generalization through Source-Specific Nets

    Massimiliano Mancini;Samuel Rota Bulo;Barbara Caputo;Elisa Ricci

  • Loss Max-Pooling for Semantic Image Segmentation

    Samuel Rota Bulo;Gerhard Neuhold;Peter Kontschieder

  • Matching as a non-cooperative game

    Andrea Albarelli;Samuel Rota Bulo;Andrea Torsello;Marcello Pelillo

  • Grouping with Asymmetric Affinities: A Game-Theoretic Perspective

    A. Torsello;S.R. Bulo;M. Pelillo

Frequent Co-Authors

Marcello Pelillo
Marcello Pelillo Ca Foscari University of Venice
Barbara Caputo
Barbara Caputo Polytechnic University of Turin
Elisa Ricci
Elisa Ricci Fondazione Bruno Kessler
Andrea Torsello
Andrea Torsello Ca Foscari University of Venice
Mário A. T. Figueiredo
Mário A. T. Figueiredo Instituto Superior Técnico
Horst Bischof
Horst Bischof Graz University of Technology
Joan Serrat
Joan Serrat Universitat Politècnica de Catalunya
Battista Biggio
Battista Biggio University of Cagliari
Fabio Roli
Fabio Roli University of Genoa
Emanuele Rodolà
Emanuele Rodolà Sapienza University of Rome

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