Search Results for author: Ana Serrano

Found 7 papers, 1 papers with code

Learning a self-supervised tone mapping operator via feature contrast masking loss

no code implementations19 Oct 2021 Chao Wang, Bin Chen, Hans-Peter Seidel, Karol Myszkowski, Ana Serrano

High Dynamic Range (HDR) content is becoming ubiquitous due to the rapid development of capture technologies.

Tone Mapping

ScanGAN360: A Generative Model of Realistic Scanpaths for 360$^{\circ}$ Images

no code implementations25 Mar 2021 Daniel Martin, Ana Serrano, Alexander W. Bergman, Gordon Wetzstein, Belen Masia

Generative adversarial approaches could alleviate this challenge by generating a large number of possible scanpaths for unseen images.

Dynamic Time Warping

The joint role of geometry and illumination on material recognition

no code implementations7 Jan 2021 Manuel Lagunas, Ana Serrano, Diego Gutierrez, Belen Masia

In this work, we perform a comprehensive and systematic analysis of how the interplay of geometry, illumination, and their spatial frequencies affects human performance on material recognition tasks.

Material Recognition

A Similarity Measure for Material Appearance

1 code implementation4 May 2019 Manuel Lagunas, Sandra Malpica, Ana Serrano, Elena Garces, Diego Gutierrez, Belen Masia

We present a model to measure the similarity in appearance between different materials, which correlates with human similarity judgments.

Image Similarity Search

Convolutional Sparse Coding for High Dynamic Range Imaging

no code implementations13 Jun 2018 Ana Serrano, Felix Heide, Diego Gutierrez, Gordon Wetzstein, Belen Masia

Current HDR acquisition techniques are based on either (i) fusing multibracketed, low dynamic range (LDR) images, (ii) modifying existing hardware and capturing different exposures simultaneously with multiple sensors, or (iii) reconstructing a single image with spatially-varying pixel exposures.

Convolutional sparse coding for capturing high speed video content

no code implementations13 Jun 2018 Ana Serrano, Elena Garces, Diego Gutierrez, Belen Masia

Video capture is limited by the trade-off between spatial and temporal resolution: when capturing videos of high temporal resolution, the spatial resolution decreases due to bandwidth limitations in the capture system.

Compressive Sensing

How do people explore virtual environments?

no code implementations13 Dec 2016 Vincent Sitzmann, Ana Serrano, Amy Pavel, Maneesh Agrawala, Diego Gutierrez, Belen Masia, Gordon Wetzstein

Understanding how people explore immersive virtual environments is crucial for many applications, such as designing virtual reality (VR) content, developing new compression algorithms, or learning computational models of saliency or visual attention.

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