activity
20192026
most citedPoint Cloud Rendering after Coding: Impacts on Subjective and Objective Quality

113 citations · 297 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2026

Lossy Event Compression: From Event Stream Distortion to Task Performance

Zahra Rezaee, Catarina Brites, João Ascenso

Event cameras generate asynchronous, sparse data streams with microsecond temporal resolution, but in moderate-to-high motion scenes they can produce as many as hundreds of million…

cs.MM2024

Low Complexity Learning-based Lossless Event-based Compression

Ahmadreza Sezavar, Catarina Brites, Joao Ascenso

Event cameras are a cutting-edge type of visual sensors that capture data by detecting brightness changes at the pixel level asynchronously. These cameras offer numerous benefits o…

cs.MM2024★ 1 cited

Learning-based Lossless Event Data Compression

Ahmadreza Sezavar, Catarina Brites, Joao Ascenso

Emerging event cameras acquire visual information by detecting time domain brightness changes asynchronously at the pixel level and, unlike conventional cameras, are able to provid…

eess.IV2024★ 3 cited

Neuromorphic Vision Data Coding: Classifying and Reviewing the Literature

Catarina Brites, João Ascenso

In recent years, visual sensors have been quickly improving towards mimicking the visual information acquisition process of human brain by responding to illumination changes as the…

eess.IV2021

Joint Geometry and Color Projection-based Point Cloud Quality Metric

Alireza Javaheri, Catarina Brites, Fernando Pereira +1

Point cloud coding solutions have been recently standardized to address the needs of multiple application scenarios. The design and assessment of point cloud coding methods require…

cs.MM2021★ 30 cited

A Point-to-Distribution Joint Geometry and Color Metric for Point Cloud Quality Assessment

Alireza Javaheri, Catarina Brites, Fernando Pereira +1

Point clouds (PCs) are a powerful 3D visual representation paradigm for many emerging application domains, especially virtual and augmented reality, and autonomous vehicles. Howeve…

eess.IV2020★ 34 cited

Improving PSNR-based Quality Metrics Performance For Point Cloud Geometry

Alireza Javaheri, Catarina Brites, Fernando Pereira +1

An increased interest in immersive applications has drawn attention to emerging 3D imaging representation formats, notably light fields and point clouds (PCs). Nowadays, PCs are on…

eess.IV2020★ 88 cited

A generalized Hausdorff distance based quality metric for point cloud geometry

Alireza Javaheri, Catarina Brites, Fernando Pereira +1

Reliable quality assessment of decoded point cloud geometry is essential to evaluate the compression performance of emerging point cloud coding solutions and guarantee some target…

eess.IV2020★ 28 cited

Lenslet Light Field Image Coding: Classifying, Reviewing and Evaluating

Catarina Brites, João Ascenso, Fernando Pereira

In recent years, visual sensors have been quickly improving, notably targeting richer acquisitions of the light present in a visual scene. In this context, the so-called lenslet li…

eess.IV2019★ 113 cited

Point Cloud Rendering after Coding: Impacts on Subjective and Objective Quality

Alireza Javaheri, Catarina Brites, Fernando Pereira +1

Recently, point clouds have shown to be a promising way to represent 3D visual data for a wide range of immersive applications, from augmented reality to autonomous cars. Emerging…