Miguel Ángel Bautista

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 42

Top Topics

Diffusion Model

Unsupervised Learning

Gesture Recognition

Top Venues

Pattern Recognit.

Publications

Ahmed A. Elhag, Yuyang Wang, Joshua M. Susskind, Miguel Ángel Bautista
Manifold Diffusion Fields. ICLR (2024)
Xiaoming Zhao, Alex Colburn, Fangchang Ma, Miguel Ángel Bautista, Joshua M. Susskind, Alexander G. Schwing
Pseudo-Generalized Dynamic View Synthesis from a Video. ICLR (2024)
Nick Stracke, Stefan Andreas Baumann, Joshua M. Susskind, Miguel Ángel Bautista, Björn Ommer
CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models. CoRR (2024)
Alaaeldin El-Nouby, Michal Klein, Shuangfei Zhai, Miguel Ángel Bautista, Alexander Toshev, Vaishaal Shankar, Joshua M. Susskind, Armand Joulin
Scalable Pre-training of Large Autoregressive Image Models. CoRR (2024)
Yuyang Wang, Ahmed A. Elhag, Navdeep Jaitly, Joshua M. Susskind, Miguel Ángel Bautista
Generating Molecular Conformer Fields. CoRR (2023)
Ahmed A. Elhag, Joshua M. Susskind, Miguel Ángel Bautista
Manifold Diffusion Fields. CoRR (2023)
Peiye Zhuang, Samira Abnar, Jiatao Gu, Alexander G. Schwing, Joshua M. Susskind, Miguel Ángel Bautista
Diffusion Probabilistic Fields. ICLR (2023)
Bogdan Mazoure, Walter Talbott, Miguel Ángel Bautista, R. Devon Hjelm, Alexander Toshev, Joshua M. Susskind
Value function estimation using conditional diffusion models for control. CoRR (2023)
Peiye Zhuang, Samira Abnar, Jiatao Gu, Alexander G. Schwing, Joshua M. Susskind, Miguel Ángel Bautista
Diffusion Probabilistic Fields. CoRR (2023)
Samira Abnar, Omid Saremi, Laurent Dinh, Shantel Wilson, Miguel Ángel Bautista, Chen Huang, Vimal Thilak, Etai Littwin, Jiatao Gu, Josh M. Susskind, Samy Bengio
Adaptivity and Modularity for Efficient Generalization Over Task Complexity. CoRR (2023)
Xiaoming Zhao, Alex Colburn, Fangchang Ma, Miguel Ángel Bautista, Joshua M. Susskind, Alexander G. Schwing
Is Generalized Dynamic Novel View Synthesis from Monocular Videos Possible Today? CoRR (2023)
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Ángel Bautista, Joshua M. Susskind
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation. ICLR (2023)
Miguel Ángel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, Afshin Dehghan, Josh M. Susskind
GAUDI: A Neural Architect for Immersive 3D Scene Generation. CoRR (2022)
Zhenpei Yang, Zhile Ren, Miguel Ángel Bautista, Zaiwei Zhang, Qi Shan, Qixing Huang
FvOR: Robust Joint Shape and Pose Optimization for Few-view Object Reconstruction. CVPR (2022)
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
GAUDI: A Neural Architect for Immersive 3D Scene Generation. NeurIPS (2022)
Pengsheng Guo, Miguel Ángel Bautista, Alex Colburn, Liang Yang, Daniel Ulbricht, Joshua M. Susskind, Qi Shan
Fast and Explicit Neural View Synthesis. WACV (2022)
Zhenpei Yang, Zhile Ren, Miguel Ángel Bautista, Zaiwei Zhang, Qi Shan, Qixing Huang
FvOR: Robust Joint Shape and Pose Optimization for Few-view Object Reconstruction. CoRR (2022)
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Ángel Bautista, Josh M. Susskind
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation. CoRR (2022)
Miguel Ángel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind
On the generalization of learning-based 3D reconstruction. WACV (2021)
Terrance DeVries, Miguel Ángel Bautista, Nitish Srivastava, Graham W. Taylor, Joshua M. Susskind
Unconstrained Scene Generation with Locally Conditioned Radiance Fields. ICCV (2021)
Pengsheng Guo, Miguel Ángel Bautista, Alex Colburn, Liang Yang, Daniel Ulbricht, Joshua M. Susskind, Qi Shan
Fast and Explicit Neural View Synthesis. CoRR (2021)
Terrance DeVries, Miguel Ángel Bautista, Nitish Srivastava, Graham W. Taylor, Joshua M. Susskind
Unconstrained Scene Generation with Locally Conditioned Radiance Fields. CoRR (2021)
Mike Roberts, Jason Ramapuram, Anurag Ranjan, Atulit Kumar, Miguel Ángel Bautista, Nathan Paczan, Russ Webb, Joshua M. Susskind
Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding. ICCV (2021)
Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Carlos Guestrin, Josh M. Susskind
Set Distribution Networks: a Generative Model for Sets of Images. CoRR (2020)
Emilien Dupont, Miguel Ángel Bautista, Alex Colburn, Aditya Sankar, Carlos Guestrin, Josh M. Susskind, Qi Shan
Equivariant Neural Rendering. CoRR (2020)
Miguel Ángel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind
On the generalization of learning-based 3D reconstruction. CoRR (2020)
Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Shih-Yu Sun, Carlos Guestrin, Joshua M. Susskind
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment. ICML (2019)
Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Shih-Yu Sun, Carlos Guestrin, Joshua M. Susskind
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment. CoRR (2019)
Pau Rodríguez, Miguel Ángel Bautista, Jordi Gonzàlez, Sergio Escalera
Beyond One-hot Encoding: lower dimensional target embedding. CoRR (2018)
Omair Ghori, Radek Mackowiak, Miguel Ángel Bautista, Niklas Beuter, Lucas Drumond, Ferran Diego, Björn Ommer
Learning to Forecast Pedestrian Intention from Pose Dynamics. Intelligent Vehicles Symposium (2018)
Pau Rodríguez, Miguel Ángel Bautista, Jordi Gonzàlez, Sergio Escalera
Beyond one-hot encoding: Lower dimensional target embedding. Image Vis. Comput. 75 (2018)
Miguel Ángel Bautista, Oriol Pujol, Fernando De la Torre, Sergio Escalera
Error-Correcting Factorization. IEEE Trans. Pattern Anal. Mach. Intell. 40 (10) (2018)
Artsiom Sanakoyeu, Miguel Ángel Bautista, Björn Ommer
Deep Unsupervised Learning of Visual Similarities. CoRR (2018)
Artsiom Sanakoyeu, Miguel Ángel Bautista, Björn Ommer
Deep unsupervised learning of visual similarities. Pattern Recognit. 78 (2018)
Miguel Ángel Bautista, Artsiom Sanakoyeu, Björn Ommer
Deep Unsupervised Similarity Learning Using Partially Ordered Sets. CVPR (2017)
Timo Milbich, Miguel Ángel Bautista, Ekaterina Sutter, Björn Ommer
Unsupervised Video Understanding by Reconciliation of Posture Similarities. ICCV (2017)
Miguel Ángel Bautista, Patrick Fuchs, Björn Ommer
Learning Where to Drive by Watching Others. GCPR (2017)
Timo Milbich, Miguel Ángel Bautista, Ekaterina Sutter, Björn Ommer
Unsupervised Video Understanding by Reconciliation of Posture Similarities. CoRR (2017)
Miguel Ángel Bautista, Artsiom Sanakoyeu, Björn Ommer
Deep Unsupervised Similarity Learning using Partially Ordered Sets. CoRR (2017)
Miguel Ángel Bautista, Artsiom Sanakoyeu, Ekaterina Sutter, Björn Ommer
CliqueCNN: Deep Unsupervised Exemplar Learning. CoRR (2016)
Miguel Ángel Bautista, Antonio Hernández-Vela, Sergio Escalera, Laura Igual, Oriol Pujol, Josep Moya, Verónica Violant, María Teresa Anguera
A Gesture Recognition System for Detecting Behavioral Patterns of ADHD. IEEE Trans. Cybern. 46 (1) (2016)
Miguel Ángel Bautista, Artsiom Sanakoyeu, Ekaterina Tikhoncheva, Björn Ommer
CliqueCNN: Deep Unsupervised Exemplar Learning. NIPS (2016)
Miguel Ángel Bautista, Oriol Pujol, Fernando De la Torre, Sergio Escalera
Error-Correcting Factorization. CoRR (2015)
Daniel Sánchez, Miguel Ángel Bautista, Sergio Escalera
HuPBA8k+: Dataset and ECOC-Graph-Cut based segmentation of human limbs. Neurocomputing 150 (2015)
Xavier Baró, Jordi Gonzàlez, Junior Fabian, Miguel Ángel Bautista, Marc Oliu, Hugo Jair Escalante, Isabelle Guyon, Sergio Escalera
ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition. CVPR Workshops (2015)
Sergio Escalera, Xavier Baró, Jordi Gonzàlez, Miguel Ángel Bautista, Meysam Madadi, Miguel Reyes, Víctor Ponce-López, Hugo Jair Escalante, Jamie Shotton, Isabelle Guyon
ChaLearn Looking at People Challenge 2014: Dataset and Results. ECCV Workshops (1) (2014)
Eloi Puertas, Miguel Ángel Bautista, Daniel Sánchez, Sergio Escalera, Oriol Pujol
Learning to Segment Humans by Stacking Their Body Parts. ECCV Workshops (1) (2014)
Miguel Ángel Bautista, Antonio Hernández-Vela, Sergio Escalera, Laura Igual, Oriol Pujol, Josep Moya, Verónica Violant, María Teresa Anguera
A Gesture Recognition System for Detecting Behavioral Patterns of ADHD. CoRR (2014)
Miguel Ángel Bautista, Sergio Escalera, Xavier Baró, Oriol Pujol
On the design of an ECOC-Compliant Genetic Algorithm. Pattern Recognit. 47 (2) (2014)
Antonio Hernández-Vela, Miguel Ángel Bautista, Xavier Perez-Sala, Víctor Ponce-López, Sergio Escalera, Xavier Baró, Oriol Pujol, Cecilio Angulo
Probability-based Dynamic Time Warping and Bag-of-Visual-and-Depth-Words for Human Gesture Recognition in RGB-D. Pattern Recognit. Lett. 50 (2014)
Daniel Sánchez, Juan Carlos Ortega, Miguel Ángel Bautista, Sergio Escalera
Human Body Segmentation with Multi-limb Error-Correcting Output Codes Detection and Graph Cuts Optimization. IbPRIA (2013)
Miguel Ángel Bautista, Sergio Escalera, Xavier Baró, Petia Radeva, Jordi Vitrià, Oriol Pujol
Minimal design of error-correcting output codes. Pattern Recognit. Lett. 33 (6) (2012)
Antonio Hernández-Vela, Miguel Ángel Bautista, Xavier Perez-Sala, Víctor Ponce-López, Xavier Baró, Oriol Pujol, Cecilio Angulo, Sergio Escalera
BoVDW: Bag-of-Visual-and-Depth-Words for gesture recognition. ICPR (2012)
Miguel Ángel Bautista, Antonio Hernández-Vela, Víctor Ponce-López, Xavier Perez-Sala, Xavier Baró, Oriol Pujol, Cecilio Angulo, Sergio Escalera
Probability-Based Dynamic Time Warping for Gesture Recognition on RGB-D Data. WDIA (2012)
Miguel Ángel Bautista, Sergio Escalera, Xavier Baró, Oriol Pujol
A Genetic Inspired Optimization for ECOC. SSPR/SPR (2012)
Miguel Ángel Bautista, Oriol Pujol, Xavier Baró, Sergio Escalera
Introducing the Separability Matrix for Error Correcting Output Codes Coding. MCS (2011)