Search Results for author: Ramon Baldrich

Found 4 papers, 1 papers with code

Intrinsic Decomposition of Document Images In-the-Wild

1 code implementation29 Nov 2020 Sagnik Das, Hassan Ahmed Sial, Ke Ma, Ramon Baldrich, Maria Vanrell, Dimitris Samaras

However, document shadow or shading removal results still suffer because: (a) prior methods rely on uniformity of local color statistics, which limit their application on real-scenarios with complex document shapes and textures and; (b) synthetic or hybrid datasets with non-realistic, simulated lighting conditions are used to train the models.

Document Shadow Removal Intrinsic Image Decomposition +1

Light Direction and Color Estimation from Single Image with Deep Regression

no code implementations18 Sep 2020 Hassan A. Sial, Ramon Baldrich, Maria Vanrell, Dimitris Samaras

We present a method to estimate the direction and color of the scene light source from a single image.


Deep intrinsic decomposition trained on surreal scenes yet with realistic light effects

no code implementations14 Sep 2020 Hassan Sial, Ramon Baldrich, Maria Vanrell

Estimation of intrinsic images still remains a challenging task due to weaknesses of ground-truth datasets, which either are too small or present non-realistic issues.

Bag of Negatives for Siamese Architectures

no code implementations6 Aug 2019 Bojana Gajic, Ariel Amato, Ramon Baldrich, Carlo Gatta

Training a Siamese architecture for re-identification with a large number of identities is a challenging task due to the difficulty of finding relevant negative samples efficiently.

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