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Author |
Title |
Year |
Publication |
Volume ![sorted by Volume (numeric) field, descending order (down)](img/sort_desc.gif) |
Pages |
Links |
|
Alejandro Cartas; Jordi Luque; Petia Radeva; Carlos Segura; Mariella Dimiccoli |
Seeing and Hearing Egocentric Actions: How Much Can We Learn? |
2019 |
IEEE International Conference on Computer Vision Workshops |
|
4470-4480 |
|
|
Felipe Codevilla |
On Building End-to-End Driving Models Through Imitation Learning |
2019 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
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|
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Zhijie Fang |
Behavior understanding of vulnerable road users by 2D pose estimation |
2019 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
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|
|
Juan Ignacio Toledo |
Information Extraction from Heterogeneous Handwritten Documents |
2019 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
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|
|
David Berga |
Understanding Eye Movements: Psychophysics and a Model of Primary Visual Cortex |
2019 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
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Xavier Soria |
Single sensor multi-spectral imaging |
2019 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
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|
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Antonio Esteban Lansaque |
An Endoscopic Navigation System for Lung Cancer Biopsy |
2019 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
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|
Lichao Zhang |
Towards end-to-end Networks for Visual Tracking in RGB and TIR Videos |
2019 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
|
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Lu Yu |
Semantic Representation: From Color to Deep Embeddings |
2019 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
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|
Albert Berenguel |
Analysis of background textures in banknotes and identity documents for counterfeit detection |
2019 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
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|
|
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 |
|
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Yaxing Wang |
Transferring and Learning Representations for Image Generation and Translation |
2020 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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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 |
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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 |
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Sangeeth Reddy; Minesh Mathew; Lluis Gomez; Marçal Rusiñol; Dimosthenis Karatzas; C.V. Jawahar |
RoadText-1K: Text Detection and Recognition Dataset for Driving Videos |
2020 |
IEEE International Conference on Robotics and Automation |
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