Author  |
Title |
Year |
Publication |
Volume |
Pages |
| Mert Kilickaya; Joost van de Weijer; Yuki M. Asano |
Towards Label-Efficient Incremental Learning: A Survey |
2023 |
Arxiv |
|
|
| Meysam Madadi |
Human Segmentation, Pose Estimation and Applications |
2017 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
| Meysam Madadi; Hugo Bertiche; Sergio Escalera |
SMPLR: Deep learning based SMPL reverse for 3D human pose and shape recovery |
2020 |
Pattern Recognition |
106 |
107472 |
| Meysam Madadi; Hugo Bertiche; Sergio Escalera |
Deep unsupervised 3D human body reconstruction from a sparse set of landmarks |
2021 |
International Journal of Computer Vision |
129 |
2499–2512 |
| Meysam Madadi; Hugo Bertiche; Wafa Bouzouita; Isabelle Guyon; Sergio Escalera |
Learning Cloth Dynamics: 3D+Texture Garment Reconstruction Benchmark |
2021 |
Proceedings of Machine Learning Research |
133 |
57-76 |
| Meysam Madadi; Sergio Escalera; Alex Carruesco Llorens; Carlos Andujar; Xavier Baro; Jordi Gonzalez |
Top-down model fitting for hand pose recovery in sequences of depth images |
2018 |
Image and Vision Computing |
79 |
63-75 |
| Meysam Madadi; Sergio Escalera; Alex Carruesco; Carlos Andujar; Xavier Baro; Jordi Gonzalez |
Occlusion Aware Hand Pose Recovery from Sequences of Depth Images |
2017 |
12th IEEE International Conference on Automatic Face and Gesture Recognition |
|
|
| Meysam Madadi; Sergio Escalera; Jordi Gonzalez; Xavier Roca; Felipe Lumbreras |
Multi-part body segmentation based on depth maps for soft biometry analysis |
2015 |
Pattern Recognition Letters |
56 |
14-21 |
| Meysam Madadi; Sergio Escalera; Xavier Baro; Jordi Gonzalez |
End-to-end Global to Local CNN Learning for Hand Pose Recovery in Depth data |
2022 |
IET Computer Vision |
16 |
50-66 |
| Michael Holte; Bhaskar Chakraborty; Jordi Gonzalez; Thomas B. Moeslund |
A Local 3D Motion Descriptor for Multi-View Human Action Recognition from 4D Spatio-Temporal Interest Points |
2012 |
IEEE Journal of Selected Topics in Signal Processing |
6 |
553-565 |
| Michael Teutsch; Angel Sappa; Riad I. Hammoud |
Computer Vision in the Infrared Spectrum: Challenges and Approaches |
2021 |
Synthesis Lectures on Computer Vision |
10 |
1-138 |
| Michael Teutsch; Angel Sappa; Riad I. Hammoud |
Cross-Spectral Image Processing |
2022 |
Computer Vision in the Infrared Spectrum. Synthesis Lectures on Computer Vision |
|
23-34 |
| Michael Teutsch; Angel Sappa; Riad I. Hammoud |
Detection, Classification, and Tracking |
2022 |
Computer Vision in the Infrared Spectrum. Synthesis Lectures on Computer Vision |
|
35-58 |
| Michael Teutsch; Angel Sappa; Riad I. Hammoud |
Image and Video Enhancement |
2022 |
Computer Vision in the Infrared Spectrum. Synthesis Lectures on Computer Vision |
|
9-21 |
| Michael Villamizar; A. Sanfeliu; Juan Andrade |
Computation of Rotation Local Invariant Features using the Integral Image for Real Time Object Detection |
2006 |
18th International Conference on Pattern Recognition, 81–85 |
|
|
