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Miguel Ángel Bautista 0001
Person information
- affiliation: Heidelberg University, Computer Vision Group, Germany
- affiliation: University of Barcelona, Department of Applied Mathematics and Analysis, Spain
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2020 – today
- 2024
- [c27]Nick Stracke, Stefan Andreas Baumann, Joshua Susskind, Miguel Ángel Bautista, Björn Ommer:
CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control and Altering of T2I Models. ECCV (88) 2024: 87-103 - [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
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last updated on 2024-11-25 23:39 CET by the dblp team
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