|
Author |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
Pau Rodriguez; Diego Velazquez; Guillem Cucurull; Josep M. Gonfaus; Xavier Roca; Seiichi Ozawa; Jordi Gonzalez |
Personality Trait Analysis in Social Networks Based on Weakly Supervised Learning of Shared Images |
2020 |
Applied Sciences |
10 |
8170 |
|
|
Felipe Codevilla |
On Building End-to-End Driving Models Through Imitation Learning |
2019 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
|
|
Zhijie Fang |
Behavior understanding of vulnerable road users by 2D pose estimation |
2019 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
|
|
Juan Ignacio Toledo |
Information Extraction from Heterogeneous Handwritten Documents |
2019 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
|
|
David Berga |
Understanding Eye Movements: Psychophysics and a Model of Primary Visual Cortex |
2019 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
|
|
Xavier Soria |
Single sensor multi-spectral imaging |
2019 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
|
|
Antonio Esteban Lansaque |
An Endoscopic Navigation System for Lung Cancer Biopsy |
2019 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
|
|
Lichao Zhang |
Towards end-to-end Networks for Visual Tracking in RGB and TIR Videos |
2019 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
|
|
Lu Yu |
Semantic Representation: From Color to Deep Embeddings |
2019 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
|
|
Albert Berenguel |
Analysis of background textures in banknotes and identity documents for counterfeit detection |
2019 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
|
|
Xialei Liu |
Visual recognition in the wild: learning from rankings in small domains and continual learning in new domains |
2019 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
|
|
Yaxing Wang |
Transferring and Learning Representations for Image Generation and Translation |
2020 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
|
|
Manisha Das; Deep Gupta; Petia Radeva; Ashwini M. Bakde |
Optimized CT-MR neurological image fusion framework using biologically inspired spiking neural model in hybrid ℓ1 - ℓ0 layer decomposition domain |
2021 |
Biomedical Signal Processing and Control |
68 |
102535 |
|
|
Sergio Escalera; Stephane Ayache; Jun Wan; Meysam Madadi; Umut Guçlu; Xavier Baro |
Inpainting and Denoising Challenges |
2019 |
The Springer Series on Challenges in Machine Learning |
|
|
|
|
Hugo Jair Escalante; Sergio Escalera; Isabelle Guyon; Xavier Baro; Yagmur Gucluturk; Umut Guçlu; Marcel van Gerven |
Explainable and Interpretable Models in Computer Vision and Machine Learning |
2018 |
The Springer Series on Challenges in Machine Learning |
|
|
|