Miguel Ángel Bautista

According to our database, Miguel Ángel Bautista authored at least 44 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models.

Nick Stracke, Stefan Andreas Baumann, Joshua M. Susskind, Miguel Ángel Bautista, Björn Ommer

CoRR, 2024

Swallowing the Bitter Pill: Simplified Scalable Conformer Generation.

Yuyang Wang, Ahmed A. A. Elhag, Navdeep Jaitly, Joshua M. Susskind, Miguel Ángel Bautista

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Scalable Pre-training of Large Autoregressive Image Models.

Alaaeldin El-Nouby, Michal Klein, Shuangfei Zhai, Miguel Ángel Bautista, Vaishaal Shankar, Alexander T. Toshev, Joshua M. Susskind, Armand Joulin

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Manifold Diffusion Fields.

Ahmed A. A. Elhag, Yuyang Wang, Joshua M. Susskind, Miguel Ángel Bautista

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Pseudo-Generalized Dynamic View Synthesis from a Video.

Xiaoming Zhao, Alex Colburn, Fangchang Ma, Miguel Ángel Bautista, Joshua M. Susskind, Alexander G. Schwing

Proceedings of the Twelfth International Conference on Learning Representations, 2024

CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control and Altering of T2I Models.

Nick Stracke, Stefan Andreas Baumann, Joshua Susskind, Miguel Ángel Bautista, Björn Ommer

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Generating Molecular Conformer Fields.

Yuyang Wang, Ahmed A. A. Elhag, Navdeep Jaitly, Joshua M. Susskind, Miguel Ángel Bautista

CoRR, 2023

Adaptivity and Modularity for Efficient Generalization Over Task Complexity.

Samira Abnar, Omid Saremi, Laurent Dinh, Shantel Wilson, Miguel Ángel Bautista, Chen Huang, Vimal Thilak, Etai Littwin, Jiatao Gu, Josh M. Susskind, Samy Bengio

CoRR, 2023

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

Xiaoming Zhao, Alex Colburn, Fangchang Ma, Miguel Ángel Bautista, Joshua M. Susskind, Alexander G. Schwing

CoRR, 2023

Value function estimation using conditional diffusion models for control.

Bogdan Mazoure, Walter Talbott, Miguel Ángel Bautista, R. Devon Hjelm, Alexander Toshev, Joshua M. Susskind

CoRR, 2023

Manifold Diffusion Fields.

Ahmed A. A. Elhag, Joshua M. Susskind, Miguel Ángel Bautista

CoRR, 2023

Diffusion Probabilistic Fields.

Peiye Zhuang, Samira Abnar, Jiatao Gu, Alexander G. Schwing, Joshua M. Susskind, Miguel Ángel Bautista

Proceedings of the Eleventh International Conference on Learning Representations, 2023

f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation.

Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Ángel Bautista, Joshua M. Susskind

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Fast and Explicit Neural View Synthesis.

Pengsheng Guo, Miguel Ángel Bautista, Alex Colburn, Liang Yang, Daniel Ulbricht, Joshua M. Susskind, Qi Shan

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

GAUDI: A Neural Architect for Immersive 3D Scene Generation.

Miguel Ángel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, Afshin Dehghan, Joshua M. Susskind

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.

Zhenpei Yang, Zhile Ren, Miguel Ángel Bautista, Zaiwei Zhang, Qi Shan, Qixing Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

On the generalization of learning-based 3D reconstruction.

Miguel Ángel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding.

Mike Roberts, Jason Ramapuram, Anurag Ranjan, Atulit Kumar, Miguel Ángel Bautista, Nathan Paczan, Russ Webb, Joshua M. Susskind

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Unconstrained Scene Generation with Locally Conditioned Radiance Fields.

Terrance DeVries, Miguel Ángel Bautista, Nitish Srivastava, Graham W. Taylor, Joshua M. Susskind

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

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

Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Carlos Guestrin, Josh M. Susskind

CoRR, 2020

Equivariant Neural Rendering.

Emilien Dupont, Miguel Ángel Bautista, Alex Colburn, Aditya Sankar, Carlos Guestrin, Josh M. Susskind, Qi Shan

CoRR, 2020

2019

Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment.

Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Shih-Yu Sun, Carlos Guestrin, Joshua M. Susskind

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Deep unsupervised learning of visual similarities.

Artsiom Sanakoyeu, Miguel Ángel Bautista, Björn Ommer

Pattern Recognit., 2018

Error-Correcting Factorization.

Miguel Ángel Bautista, Oriol Pujol, Fernando De la Torre, Sergio Escalera

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Beyond one-hot encoding: Lower dimensional target embedding.

Pau Rodríguez, Miguel Ángel Bautista, Jordi Gonzàlez, Sergio Escalera

Image Vis. Comput., 2018

Learning to Forecast Pedestrian Intention from Pose Dynamics.

Omair Ghori, Radek Mackowiak, Miguel Ángel Bautista, Niklas Beuter, Lucas Drumond, Ferran Diego, Björn Ommer

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

2017

Unsupervised Video Understanding by Reconciliation of Posture Similarities.

Timo Milbich, Miguel Ángel Bautista, Ekaterina Sutter, Björn Ommer

Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning Where to Drive by Watching Others.

Miguel Ángel Bautista, Patrick Fuchs, Björn Ommer

Proceedings of the Pattern Recognition - 39th German Conference, 2017

Deep Unsupervised Similarity Learning Using Partially Ordered Sets.

Miguel Ángel Bautista, Artsiom Sanakoyeu, Björn Ommer

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

A Gesture Recognition System for Detecting Behavioral Patterns of ADHD.

Miguel Ángel Bautista, Antonio Hernández-Vela, Sergio Escalera, Laura Igual, Oriol Pujol, Josep Moya, Verónica Violant, María Teresa Anguera

IEEE Trans. Cybern., 2016

CliqueCNN: Deep Unsupervised Exemplar Learning.

Miguel Ángel Bautista, Artsiom Sanakoyeu, Ekaterina Tikhoncheva, Björn Ommer

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.

Daniel Sánchez, Miguel Ángel Bautista, Sergio Escalera

Neurocomputing, 2015

ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition.

Xavier Baró, Jordi Gonzàlez, Junior Fabian, Miguel Ángel Bautista, Marc Oliu, Hugo Jair Escalante, Isabelle Guyon, Sergio Escalera

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.

Antonio Hernández-Vela, Miguel Ángel Bautista, Xavier Perez-Sala, Víctor Ponce-López, Sergio Escalera, Xavier Baró, Oriol Pujol, Cecilio Angulo

Pattern Recognit. Lett., 2014

On the design of an ECOC-Compliant Genetic Algorithm.

Miguel Ángel Bautista, Sergio Escalera, Xavier Baró, Oriol Pujol

Pattern Recognit., 2014

Learning to Segment Humans by Stacking Their Body Parts.

Eloi Puertas, Miguel Ángel Bautista, Daniel Sánchez, Sergio Escalera, Oriol Pujol

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

ChaLearn Looking at People Challenge 2014: Dataset and Results.

Sergio Escalera, Xavier Baró, Jordi Gonzàlez, Miguel Ángel Bautista, Meysam Madadi, Miguel Reyes, Víctor Ponce-López, Hugo Jair Escalante, Jamie Shotton, Isabelle Guyon

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.

Daniel Sánchez, Juan Carlos Ortega, Miguel Ángel Bautista, Sergio Escalera

Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

2012

Minimal design of error-correcting output codes.

Miguel Ángel Bautista, Sergio Escalera, Xavier Baró, Petia Radeva, Jordi Vitrià, Oriol Pujol

Pattern Recognit. Lett., 2012

Probability-Based Dynamic Time Warping for Gesture Recognition on RGB-D Data.

Miguel Ángel Bautista, Antonio Hernández-Vela, Víctor Ponce-López, Xavier Perez-Sala, Xavier Baró, Oriol Pujol, Cecilio Angulo, Sergio Escalera

Proceedings of the Advances in Depth Image Analysis and Applications, 2012

A Genetic Inspired Optimization for ECOC.

Miguel Ángel Bautista, Sergio Escalera, Xavier Baró, Oriol Pujol

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

BoVDW: Bag-of-Visual-and-Depth-Words for gesture recognition.

Antonio Hernández-Vela, Miguel Ángel Bautista, Xavier Perez-Sala, Víctor Ponce-López, Xavier Baró, Oriol Pujol, Cecilio Angulo, Sergio Escalera

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

On the Design of Low Redundancy Error-Correcting Output Codes.

Miguel Ángel Bautista, Sergio Escalera, Xavier Baró, Oriol Pujol, Jordi Vitrià, Petia Radeva

Proceedings of the Ensembles in Machine Learning Applications, 2011

Introducing the Separability Matrix for Error Correcting Output Codes Coding.

Miguel Ángel Bautista, Oriol Pujol, Xavier Baró, Sergio Escalera

Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011