default search action
Miguel Ángel Bautista 0001
Person information
- affiliation: Heidelberg University, Computer Vision Group, Germany
- affiliation: University of Barcelona, Department of Applied Mathematics and Analysis, Spain
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c26]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 - [c25]Ahmed A. A. Elhag, Yuyang Wang, Joshua M. Susskind, Miguel Ángel Bautista:
Manifold Diffusion Fields. ICLR 2024 - [c24]Alaaeldin El-Nouby, Michal Klein, Shuangfei Zhai, Miguel Ángel Bautista, Vaishaal Shankar, Alexander T. Toshev, Joshua M. Susskind, Armand Joulin:
Scalable Pre-training of Large Autoregressive Image Models. ICML 2024 - [c23]Yuyang Wang, Ahmed A. A. Elhag, Navdeep Jaitly, Joshua M. Susskind, Miguel Ángel Bautista:
Swallowing the Bitter Pill: Simplified Scalable Conformer Generation. ICML 2024 - [i24]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 abs/2401.08541 (2024) - [i23]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 abs/2405.07913 (2024) - 2023
- [c22]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 - [c21]Peiye Zhuang, Samira Abnar, Jiatao Gu, Alexander G. Schwing, Joshua M. Susskind, Miguel Ángel Bautista:
Diffusion Probabilistic Fields. ICLR 2023 - [i22]Peiye Zhuang, Samira Abnar, Jiatao Gu, Alexander G. Schwing, Joshua M. Susskind, Miguel Ángel Bautista:
Diffusion Probabilistic Fields. CoRR abs/2303.00165 (2023) - [i21]Ahmed A. A. Elhag, Joshua M. Susskind, Miguel Ángel Bautista:
Manifold Diffusion Fields. CoRR abs/2305.15586 (2023) - [i20]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 abs/2306.07290 (2023) - [i19]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 abs/2310.08587 (2023) - [i18]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 abs/2310.08866 (2023) - [i17]Yuyang Wang, Ahmed A. A. Elhag, Navdeep Jaitly, Joshua M. Susskind, Miguel Ángel Bautista:
Generating Molecular Conformer Fields. CoRR abs/2311.17932 (2023) - 2022
- [c20]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: 2487-2497 - [c19]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 - [c18]Pengsheng Guo, Miguel Ángel Bautista, Alex Colburn, Liang Yang, Daniel Ulbricht, Joshua M. Susskind, Qi Shan:
Fast and Explicit Neural View Synthesis. WACV 2022: 11-20 - [i16]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 abs/2205.07763 (2022) - [i15]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 abs/2207.13751 (2022) - [i14]Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Ángel Bautista, Josh M. Susskind:
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation. CoRR abs/2210.04955 (2022) - 2021
- [c17]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: 10892-10902 - [c16]Terrance DeVries, Miguel Ángel Bautista, Nitish Srivastava, Graham W. Taylor, Joshua M. Susskind:
Unconstrained Scene Generation with Locally Conditioned Radiance Fields. ICCV 2021: 14284-14293 - [c15]Miguel Ángel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind:
On the generalization of learning-based 3D reconstruction. WACV 2021: 2179-2188 - [i13]Terrance DeVries, Miguel Ángel Bautista, Nitish Srivastava, Graham W. Taylor, Joshua M. Susskind:
Unconstrained Scene Generation with Locally Conditioned Radiance Fields. CoRR abs/2104.00670 (2021) - [i12]Pengsheng Guo, Miguel Ángel Bautista, Alex Colburn, Liang Yang, Daniel Ulbricht, Joshua M. Susskind, Qi Shan:
Fast and Explicit Neural View Synthesis. CoRR abs/2107.05775 (2021) - 2020
- [i11]Emilien Dupont, Miguel Ángel Bautista, Alex Colburn
, Aditya Sankar, Carlos Guestrin, Josh M. Susskind, Qi Shan:
Equivariant Neural Rendering. CoRR abs/2006.07630 (2020) - [i10]Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Carlos Guestrin, Josh M. Susskind:
Set Distribution Networks: a Generative Model for Sets of Images. CoRR abs/2006.10705 (2020) - [i9]Miguel Ángel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind:
On the generalization of learning-based 3D reconstruction. CoRR abs/2006.15427 (2020)
2010 – 2019
- 2019
- [c14]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: 2891-2900 - [i8]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 abs/1905.05895 (2019) - 2018
- [j8]Pau Rodríguez
Beyond one-hot encoding: Lower dimensional target embedding. Image Vis. Comput. 75: 21-31 (2018) - [j7]Miguel Ángel Bautista, Oriol Pujol
Error-Correcting Factorization. IEEE Trans. Pattern Anal. Mach. Intell. 40(10): 2388-2401 (2018) - [j6]Artsiom Sanakoyeu, Miguel Ángel Bautista, Björn Ommer:
Deep unsupervised learning of visual similarities. Pattern Recognit. 78: 331-343 (2018) - [c13]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: 1277-1284 - [i7]Artsiom Sanakoyeu, Miguel Ángel Bautista, Björn Ommer:
Deep Unsupervised Learning of Visual Similarities. CoRR abs/1802.08562 (2018) - [i6]Pau Rodríguez, Miguel Ángel Bautista, Jordi Gonzàlez, Sergio Escalera:
Beyond One-hot Encoding: lower dimensional target embedding. CoRR abs/1806.10805 (2018) - 2017
- [c12]Miguel Ángel Bautista, Artsiom Sanakoyeu, Björn Ommer:
Deep Unsupervised Similarity Learning Using Partially Ordered Sets. CVPR 2017: 1923-1932 - [c11]Miguel Ángel Bautista, Patrick Fuchs
Learning Where to Drive by Watching Others. GCPR 2017: 29-40 - [c10]Timo Milbich, Miguel Ángel Bautista, Ekaterina Sutter, Björn Ommer:
Unsupervised Video Understanding by Reconciliation of Posture Similarities. ICCV 2017: 4404-4414 - [i5]Miguel Ángel Bautista, Artsiom Sanakoyeu, Björn Ommer:
Deep Unsupervised Similarity Learning using Partially Ordered Sets. CoRR abs/1704.02268 (2017) - [i4]Timo Milbich, Miguel Ángel Bautista, Ekaterina Sutter, Björn Ommer:
Unsupervised Video Understanding by Reconciliation of Posture Similarities. CoRR abs/1708.01191 (2017) - 2016
- [j5]Miguel Ángel Bautista, Antonio Hernández-Vela, Sergio Escalera
A Gesture Recognition System for Detecting Behavioral Patterns of ADHD. IEEE Trans. Cybern. 46(1): 136-147 (2016) - [c9]Miguel Ángel Bautista, Artsiom Sanakoyeu, Ekaterina Tikhoncheva, Björn Ommer:
CliqueCNN: Deep Unsupervised Exemplar Learning. NIPS 2016: 3846-3854 - [i3]Miguel Ángel Bautista, Artsiom Sanakoyeu, Ekaterina Sutter, Björn Ommer:
CliqueCNN: Deep Unsupervised Exemplar Learning. CoRR abs/1608.08792 (2016) - 2015
- [j4]Daniel Sánchez, Miguel Ángel Bautista, Sergio Escalera
HuPBA8k+: Dataset and ECOC-Graph-Cut based segmentation of human limbs. Neurocomputing 150: 173-188 (2015) - [c8]Xavier Baró
ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition. CVPR Workshops 2015: 1-9 - [i2]Miguel Ángel Bautista, Oriol Pujol, Fernando De la Torre, Sergio Escalera:
Error-Correcting Factorization. CoRR abs/1502.07976 (2015) - 2014
- [j3]Miguel Ángel Bautista, Sergio Escalera
On the design of an ECOC-Compliant Genetic Algorithm. Pattern Recognit. 47(2): 865-884 (2014) - [j2]Antonio Hernández-Vela, Miguel Ángel Bautista, Xavier Perez-Sala, Víctor Ponce-López
Probability-based Dynamic Time Warping and Bag-of-Visual-and-Depth-Words for Human Gesture Recognition in RGB-D. Pattern Recognit. Lett. 50: 112-121 (2014) - [c7]Sergio Escalera
ChaLearn Looking at People Challenge 2014: Dataset and Results. ECCV Workshops (1) 2014: 459-473 - [c6]Eloi Puertas
Learning to Segment Humans by Stacking Their Body Parts. ECCV Workshops (1) 2014: 685-697 - [i1]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 abs/1410.4485 (2014) - 2013
- [c5]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: 50-58 - 2012
- [j1]Miguel Ángel Bautista, Sergio Escalera
Minimal design of error-correcting output codes. Pattern Recognit. Lett. 33(6): 693-702 (2012) - [c4]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: 449-452 - [c3]Miguel Ángel Bautista, Sergio Escalera
A Genetic Inspired Optimization for ECOC. SSPR/SPR 2012: 743-751 - [c2]Miguel Ángel Bautista, Antonio Hernández-Vela, Víctor Ponce-López
Probability-Based Dynamic Time Warping for Gesture Recognition on RGB-D Data. WDIA 2012: 126-135 - 2011
- [c1]Miguel Ángel Bautista, Oriol Pujol
Introducing the Separability Matrix for Error Correcting Output Codes Coding. MCS 2011: 227-236 - [p1]Miguel Ángel Bautista, Sergio Escalera
On the Design of Low Redundancy Error-Correcting Output Codes. Ensembles in Machine Learning Applications 2011: 21-38
Coauthor Index
aka: Josh M. Susskind
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-04 00:27 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: