Search Results for author: Koustav Ghosal

Found 6 papers, 3 papers with code

Image Aesthetics Assessment Using Graph Attention Network

1 code implementation26 Jun 2022 Koustav Ghosal, Aljosa Smolic

Second, we propose a graph neural network architecture that takes this feature-graph and captures the semantic relationship between the different regions of the input image using visual attention.

Graph Attention

Frequency Domain Loss Function for Deep Exposure Correction of Dark Images

no code implementations22 Apr 2021 Ojasvi Yadav, Koustav Ghosal, Sebastian Lutz, Aljosa Smolic

We address the problem of exposure correction of dark, blurry and noisy images captured in low-light conditions in the wild.

Image Denoising Translation

A Geometry-Sensitive Approach for Photographic Style Classification

no code implementations3 Sep 2019 Koustav Ghosal, Mukta Prasad, Aljosa Smolic

We further introduce a two-column CNN architecture that performs better than the state-of-the-art (SoA) in photographic style classification.

Classification Data Augmentation +3

STaDA: Style Transfer as Data Augmentation

no code implementations3 Sep 2019 Xu Zheng, Tejo Chalasani, Koustav Ghosal, Sebastian Lutz, Aljosa Smolic

The success of training deep Convolutional Neural Networks (CNNs) heavily depends on a significant amount of labelled data.

Classification Data Augmentation +3

Aesthetic Image Captioning From Weakly-Labelled Photographs

1 code implementation29 Aug 2019 Koustav Ghosal, Aakanksha Rana, Aljosa Smolic

Aesthetic image captioning (AIC) refers to the multi-modal task of generating critical textual feedbacks for photographs.

Aesthetic Image Captioning Benchmarking

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