Samuel Rota Bulò

Orcid: 0000-0002-2372-1367

According to our database1, Samuel Rota Bulò authored at least 120 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Volumetric Surfaces: Representing Fuzzy Geometries with Multiple Meshes.
CoRR, 2024

Dynamic 3D Gaussian Fields for Urban Areas.
CoRR, 2024

Robust Gaussian Splatting.
CoRR, 2024

L3DG: Latent 3D Gaussian Diffusion.
Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

Revising Densification in Gaussian Splatting.
Proceedings of the Computer Vision - ECCV 2024, 2024

HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfaces.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

MultiDiff: Consistent Novel View Synthesis from a Single Image.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

ConsistDreamer: 3D-Consistent 2D Diffusion for High-Fidelity Scene Editing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Multi-Level Neural Scene Graphs for Dynamic Urban Environments.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
GANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields.
ACM Trans. Graph., December, 2023

Dense Prediction with Attentive Feature Aggregation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

VR-NeRF: High-Fidelity Virtualized Walkable Spaces.
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Panoptic Lifting for 3D Scene Understanding with Neural Fields.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

OrienterNet: Visual Localization in 2D Public Maps with Neural Matching.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DiffRF: Rendering-Guided 3D Radiance Field Diffusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Disentangling Monocular 3D Object Detection: From Single to Multi-Class Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

AutoRF: Learning 3D Object Radiance Fields from Single View Observations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Inferring Latent Domains for Unsupervised Deep Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

MultiDIAL: Domain Alignment Layers for (Multisource) Unsupervised Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Dense Prediction with Attentive Feature Aggregation.
CoRR, 2021

Weakly Supervised Multi-Object Tracking and Segmentation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision Workshops, 2021

Are we Missing Confidence in Pseudo-LiDAR Methods for Monocular 3D Object Detection?
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Improving Panoptic Segmentation at All Scales.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Boosting Deep Open World Recognition by Clustering.
IEEE Robotics Autom. Lett., 2020

Boosting binary masks for multi-domain learning through affine transformations.
Mach. Vis. Appl., 2020

Demystifying Pseudo-LiDAR for Monocular 3D Object Detection.
CoRR, 2020

DSLib: An open source library for the dominant set clustering method.
CoRR, 2020

Shape Consistent 2D Keypoint Estimation under Domain Shift.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Towards Generalization Across Depth for Monocular 3D Object Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Mapillary Planet-Scale Depth Dataset.
Proceedings of the Computer Vision - ECCV 2020, 2020

Improving Optical Flow on a Pyramid Level.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Multi-Object Tracking and Segmentation From Automatic Annotations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Modeling the Background for Incremental Learning in Semantic Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
First-order Methods for the Impatient: Support Identification in Finite Time with Convergent Frank-Wolfe Variants.
SIAM J. Optim., 2019

Pure infection-immunization dynamics for partnership games: A correction.
Games Econ. Behav., 2019

The Five Elements of Flow.
CoRR, 2019

Single-Stage Monocular 3D Object Detection with Virtual Cameras.
CoRR, 2019

Disentangling Monocular 3D Object Detection.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Seamless Scene Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

AdaGraph: Unifying Predictive and Continuous Domain Adaptation Through Graphs.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Robust Place Categorization With Deep Domain Generalization.
IEEE Robotics Autom. Lett., 2018

Joint Estimation of Human Pose and Conversational Groups from Social Scenes.
Int. J. Comput. Vis., 2018

Adding New Tasks to a Single Network with Weight Trasformations using Binary Masks.
CoRR, 2018

Increasingly Specialized Ensemble of Convolutional Neural Networks for Fine-Grained Recognition.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Best Sources Forward: Domain Generalization through Source-Specific Nets.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Adding New Tasks to a Single Network with Weight Transformations Using Binary Masks.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Boosting Domain Adaptation by Discovering Latent Domains.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

In-Place Activated BatchNorm for Memory-Optimized Training of DNNs.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Randomized Prediction Games for Adversarial Machine Learning.
IEEE Trans. Neural Networks Learn. Syst., 2017

Learning Depth-Aware Deep Representations for Robotic Perception.
IEEE Robotics Autom. Lett., 2017

Learning Deep NBNN Representations for Robust Place Categorization.
IEEE Robotics Autom. Lett., 2017

An automatic image-to-DEM alignment approach for annotating mountains pictures on a smartphone.
Mach. Vis. Appl., 2017

Dominant-set clustering: A review.
Eur. J. Oper. Res., 2017

3D CNNs on Distance Matrices for Human Action Recognition.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Just DIAL: DomaIn Alignment Layers for Unsupervised Domain Adaptation.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes.
Proceedings of the IEEE International Conference on Computer Vision, 2017

AutoDIAL: Automatic Domain Alignment Layers.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Loss Max-Pooling for Semantic Image Segmentation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
A Deeply-Supervised Deconvolutional Network for Horizon Line Detection.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Deep Neural Decision Forests.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

An efficient radiographic Image Retrieval system using Convolutional Neural Network.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Dropout distillation.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Online Learning with Bayesian Classification Trees.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Setwise Comparison: Consistent, Scalable, Continuum Labels for Computer Vision.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

Applying Random Forests to the Problem of Dense Non-rigid Shape Correspondence.
Proceedings of the Perspectives in Shape Analysis, 2016

2015
A matrix factorization approach to graph compression with partial information.
Int. J. Mach. Learn. Cybern., 2015

Probabilistic consensus clustering using evidence accumulation.
Mach. Learn., 2015

A graph-based relevance feedback mechanism in content-based image retrieval.
Knowl. Based Syst., 2015

Dominant-Set Clustering Using Multiple Affinity Matrices.
Proceedings of the Similarity-Based Pattern Recognition - Third International Workshop, 2015

Semi-Supervised Consensus Clustering for ECG Pathology Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Predicting and Understanding Urban Perception with Convolutional Neural Networks.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Uncovering Interactions and Interactors: Joint Estimation of Head, Body Orientation and F-Formations from Surveillance Videos.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Clustering Games.
Proceedings of the Registration and Recognition in Images and Videos, 2014

Explicit solutions for queues with Hypo- or Hyper-exponential service time distribution and application to product-form approximations.
Perform. Evaluation, 2014

Structured Labels in Random Forests for Semantic Labelling and Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Robust Region Detection via Consensus Segmentation of Deformable Shapes.
Comput. Graph. Forum, 2014

Poisoning Complete-Linkage Hierarchical Clustering.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014

A Matrix Factorization Approach to Graph Compression.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Exploiting Color Constancy for Robust Tracking Under Non-uniform Illumination.
Proceedings of the Image Analysis and Recognition - 11th International Conference, 2014

Learning Contours for Automatic Annotations of Mountains Pictures on a Smartphone.
Proceedings of the International Conference on Distributed Smart Cameras, 2014

ECG analysis using consensus clustering.
Proceedings of the 22nd European Signal Processing Conference, 2014

Dense Non-rigid Shape Correspondence Using Random Forests.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Neural Decision Forests for Semantic Image Labelling.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
A Game-Theoretic Approach to Pairwise Clustering and Matching.
Proceedings of the Similarity-Based Pattern Analysis and Recognition, 2013

Learning Similarities from Examples Under the Evidence Accumulation Clustering Paradigm.
Proceedings of the Similarity-Based Pattern Analysis and Recognition, 2013

A Game-Theoretic Approach to Hypergraph Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Correlation Clustering with Stochastic Labellings.
Proceedings of the Similarity-Based Pattern Recognition - Second International Workshop, 2013

A MAP Approach to Evidence Accumulation Clustering.
Proceedings of the Pattern Recognition Applications and Methods - International Conference, 2013

Probabilistic Evidence Accumulation for Clustering Ensembles.
Proceedings of the ICPRAM 2013, 2013

Consensus Clustering Using Partial Evidence Accumulation.
Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

Consensus Clustering with Robust Evidence Accumulation.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013

Dominant Set Approach to ECG Biometrics.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

Is data clustering in adversarial settings secure?
Proceedings of the AISec'13, 2013

2012
Evolutionary Hough Games for coherent object detection.
Comput. Vis. Image Underst., 2012

Context-Sensitive Decision Forests for Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

A Numerical Algorithm for the Decomposition of Cooperating Structured Markov Processes.
Proceedings of the 20th IEEE International Symposium on Modeling, 2012

Structured Local Predictors for image labelling.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Content-based image retrieval with relevance feedback using random walks.
Pattern Recognit., 2011

Infection and immunization: A new class of evolutionary game dynamics.
Games Econ. Behav., 2011

Graph-based quadratic optimization: A fast evolutionary approach.
Comput. Vis. Image Underst., 2011

Explicit solutions for queues with hypo-exponential service time and applications to product-form analysis.
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools Communications, 2011

Structured class-labels in random forests for semantic image labelling.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Semantic Image Labelling as a Label Puzzle Game.
Proceedings of the British Machine Vision Conference, 2011

2010
A New Spectral Bound on the Clique Number of Graphs.
Proceedings of the Structural, 2010

Pairwise Probabilistic Clustering Using Evidence Accumulation.
Proceedings of the Structural, 2010

Fast Population Game Dynamics for Dominant Sets and Other Quadratic Optimization Problems.
Proceedings of the Structural, 2010

Probabilistic Clustering Using the Baum-Eagon Inequality.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
A generalization of the Motzkin-Straus theorem to hypergraphs.
Optim. Lett., 2009

A game-theoretic approach to partial clique enumeration.
Image Vis. Comput., 2009

A general algorithm to compute the steady-state solution of product-form cooperating Markov chains.
Proceedings of the 17th Annual Meeting of the IEEE/ACM International Symposium on Modelling, 2009

New Bounds on the Clique Number of Graphs Based on Spectral Hypergraph Theory.
Proceedings of the Learning and Intelligent Optimization, Third International Conference, 2009

Fast 3D surface reconstruction by unambiguous compound phase coding.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Matching as a non-cooperative game.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008
Beyond partitions: Allowing overlapping groups in pairwise clustering.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

A hypergraph-based approach to affine parameters estimation.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007
A Continuous Characterization of Maximal Cliques in k-Uniform Hypergraphs.
Proceedings of the Learning and Intelligent Optimization, Second International Conference, 2007

A Continuous-Based Approach for Partial Clique Enumeration.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2007

2006
Grouping with Asymmetric Affinities: A Game-Theoretic Perspective.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006


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