Miguel Ángel Bautista

Affiliations:
  • Heidelberg University, Computer Vision Group, Germany
  • University of Barcelona, Department of Applied Mathematics and Analysis, Spain


According to our database1, Miguel Ángel Bautista authored at least 39 papers between 2011 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Scalable Pre-training of Large Autoregressive Image Models.
CoRR, 2024

2023
Generating Molecular Conformer Fields.
CoRR, 2023

Adaptivity and Modularity for Efficient Generalization Over Task Complexity.
CoRR, 2023

Is Generalized Dynamic Novel View Synthesis from Monocular Videos Possible Today?
CoRR, 2023

Value function estimation using conditional diffusion models for control.
CoRR, 2023

Manifold Diffusion Fields.
CoRR, 2023

Diffusion Probabilistic Fields.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Fast and Explicit Neural View Synthesis.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

GAUDI: A Neural Architect for Immersive 3D Scene Generation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FvOR: Robust Joint Shape and Pose Optimization for Few-view Object Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
On the generalization of learning-based 3D reconstruction.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Unconstrained Scene Generation with Locally Conditioned Radiance Fields.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Set Distribution Networks: a Generative Model for Sets of Images.
CoRR, 2020

Equivariant Neural Rendering.
CoRR, 2020

2019
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Deep unsupervised learning of visual similarities.
Pattern Recognit., 2018

Error-Correcting Factorization.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Beyond one-hot encoding: Lower dimensional target embedding.
Image Vis. Comput., 2018

Learning to Forecast Pedestrian Intention from Pose Dynamics.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

2017
Unsupervised Video Understanding by Reconciliation of Posture Similarities.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning Where to Drive by Watching Others.
Proceedings of the Pattern Recognition - 39th German Conference, 2017

Deep Unsupervised Similarity Learning Using Partially Ordered Sets.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
A Gesture Recognition System for Detecting Behavioral Patterns of ADHD.
IEEE Trans. Cybern., 2016

CliqueCNN: Deep Unsupervised Exemplar Learning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
HuPBA8k+: Dataset and ECOC-Graph-Cut based segmentation of human limbs.
Neurocomputing, 2015

ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

2014
Probability-based Dynamic Time Warping and Bag-of-Visual-and-Depth-Words for Human Gesture Recognition in RGB-D.
Pattern Recognit. Lett., 2014

On the design of an ECOC-Compliant Genetic Algorithm.
Pattern Recognit., 2014

Learning to Segment Humans by Stacking Their Body Parts.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

ChaLearn Looking at People Challenge 2014: Dataset and Results.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013
Human Body Segmentation with Multi-limb Error-Correcting Output Codes Detection and Graph Cuts Optimization.
Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

2012
Minimal design of error-correcting output codes.
Pattern Recognit. Lett., 2012

Probability-Based Dynamic Time Warping for Gesture Recognition on RGB-D Data.
Proceedings of the Advances in Depth Image Analysis and Applications, 2012

A Genetic Inspired Optimization for ECOC.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

BoVDW: Bag-of-Visual-and-Depth-Words for gesture recognition.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011
On the Design of Low Redundancy Error-Correcting Output Codes.
Proceedings of the Ensembles in Machine Learning Applications, 2011

Introducing the Separability Matrix for Error Correcting Output Codes Coding.
Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011


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