Bauters, M.[Marijn]
* 2021: Mapping Canopy Heights in Dense Tropical Forests Using Low-Cost UAV-Derived Photogrammetric Point Clouds and Machine Learning Approaches
Bautista Lopez, V.E.[Veronica Edith]
* 2016: Towards a Supervised Incremental Learning System for Automatic Recognition of the Skeletal Age
Includes: Bautista Lopez, V.E.[Veronica Edith] Bautista-López, V.E.[Verónica Edith]
Bautista Martin, M.A.[Miguel Angel]
* 2018: Error-Correcting Factorization
Includes: Bautista Martin, M.A.[Miguel Angel] Bautista Martin, M.Á.[Miguel Ángel]
Bautista Villavicencio, D.[David]
* 2011: On the Computation of the Geodesic Distance with an Application to Dimensionality Reduction in a Neuro-Oncology Problem
Includes: Bautista Villavicencio, D.[David] Bautista-Villavicencio, D.[David]
Bautista, A.S.[Alberto San]
* 2021: Within-Field Rice Yield Estimation Based on Sentinel-2 Satellite Data
Bautista, D.[Darwin]
* 2022: Scene Text Recognition with Permuted Autoregressive Sequence Models
Bautista, E.L.
* 2019: Site Selection for New Point to Point (P2P) Bus Endpoints and Routes In Metro Manila, Philippines
Bautista, L.G.C.[Louise Gillian C.]
* 2021: GazeMAE: General Representations of Eye Movements using a Micro-Macro Autoencoder
Bautista, M.A.[Miguel Angel]
* 2012: BoVDW: Bag-of-Visual-and-Depth-Words for gesture recognition
* 2012: Genetic Inspired Optimization for ECOC, A
* 2012: Minimal design of error-correcting output codes
* 2013: Human Body Segmentation with Multi-limb Error-Correcting Output Codes Detection and Graph Cuts Optimization
* 2014: ChaLearn Looking at People Challenge 2014: Dataset and Results
* 2014: Learning to Segment Humans by Stacking Their Body Parts
* 2014: On the design of an ECOC-Compliant Genetic Algorithm
* 2014: Probability-based Dynamic Time Warping and Bag-of-Visual-and-Depth-Words for Human Gesture Recognition in RGB-D
* 2015: ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition
* 2016: Gesture Recognition System for Detecting Behavioral Patterns of ADHD, A
* 2017: Deep Unsupervised Similarity Learning Using Partially Ordered Sets
* 2017: Learning Where to Drive by Watching Others
* 2017: Unsupervised Video Understanding by Reconciliation of Posture Similarities
* 2018: Beyond one-hot encoding: Lower dimensional target embedding
* 2018: Deep unsupervised learning of visual similarities
* 2021: Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding
* 2021: On the generalization of learning-based 3D reconstruction
* 2021: Unconstrained Scene Generation with Locally Conditioned Radiance Fields
* 2022: Fast and Explicit Neural View Synthesis
* 2022: FvOR: Robust Joint Shape and Pose Optimization for Few-view Object Reconstruction
Includes: Bautista, M.A.[Miguel Angel] Bautista, M.Á.[Miguel Ángel] Bautista, M.A.[Miguel A.] Bautista, M.A.
20 for Bautista, M.A.
Bautista, R.B.
* 2018: Deep Multimodal Pain Recognition: A Database and Comparison of Spatio-Temporal Visual Modalities
Bautista, S.[Susana]
* 2019: Using Hidden Markov Models for Land Surface Phenology: An Evaluation Across a Range of Land Cover Types in Southeast Spain
Bautista, S.S.[Santiago Saavedra]
* 2021: COVID-19 Related Pneumonia Detection in Lung Ultrasound