Joan Serra-Sagrista

About Joan Serra-Sagrista

Joan Serra-Sagrista, With an exceptional h-index of 23 and a recent h-index of 14 (since 2020), a distinguished researcher at Universidad Autónoma de Barcelona, specializes in the field of Data compression, Signal processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Prediction-based coding with rate control for lossless region of interest in pathology imaging

Resiliency and Efficiency of the CCSDS 124.0-B-1 Telemetry Compression Standard

Removing Data Dependencies in the CCSDS 123.0-B-2 Predictor Weight Updating

Deepfake Detection Using Spatiotemporal Transformer

A New Framework for Evaluating Image Quality Including Deep Learning Task Performances as a Proxy

Reduced-complexity multi-rate remote sensing data compression with neural networks

Efficient Lossless Compression of Integer Astronomical Data

A Scalable Reduced-Complexity Compression of Hyperspectral Remote Sensing Images Using Deep Learning

Joan Serra-Sagrista Information

University

Position

(Spain)

Citations(all)

1964

Citations(since 2020)

768

Cited By

1608

hIndex(all)

23

hIndex(since 2020)

14

i10Index(all)

59

i10Index(since 2020)

25

Email

University Profile Page

Google Scholar

Joan Serra-Sagrista Skills & Research Interests

Data compression

Signal processing

Top articles of Joan Serra-Sagrista

Prediction-based coding with rate control for lossless region of interest in pathology imaging

Signal Processing: Image Communication

2024/4/1

Resiliency and Efficiency of the CCSDS 124.0-B-1 Telemetry Compression Standard

IEEE Access

2024/3/5

Removing Data Dependencies in the CCSDS 123.0-B-2 Predictor Weight Updating

IEEE Geoscience and Remote Sensing Letters

2024/2/5

Deepfake Detection Using Spatiotemporal Transformer

ACM Transactions on Multimedia Computing, Communications and Applications

2024

A New Framework for Evaluating Image Quality Including Deep Learning Task Performances as a Proxy

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

2023/12/13

Reduced-complexity multi-rate remote sensing data compression with neural networks

IEEE Geoscience and Remote Sensing Letters

2023/10/20

Efficient Lossless Compression of Integer Astronomical Data

Publications of the Astronomical Society of the Pacific

2023/9/29

A Scalable Reduced-Complexity Compression of Hyperspectral Remote Sensing Images Using Deep Learning

Remote Sensing

2023/9/8

On the effectiveness of handcrafted features for deepfake video detection

Journal of Electronic Imaging

2023/9/1

IQUAFLOW: A new framework to measure image quality

arXiv preprint arXiv:2210.13269

2022/10/24

Reducing Data Dependencies in the Feedback Loop of the CCSDS 123.0-B-2 Predictor

IEEE Geoscience and Remote Sensing Letters

2022/10/12

The transcriptional regulator CtrA controls gene expression in Alphaproteobacteria phages: evidence for a lytic deferment pathway

Frontiers in microbiology

2022/8/19

Fast run-length compression of point cloud geometry

IEEE Transactions on Image Processing

2022/6/28

Hyperspectral remote sensing data compression with neural networks

2022/3/22

Analysis of Lossless Compressors Applied to Integer and Floating-Point Astronomical Data

2022/3/22

Hybrid intra-prediction in lossless video coding using overfitted neural networks

2021/3/23

Compression of point cloud geometry through a single projection

2021/3/23

The CCSDS 123.0-B-2 “Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression” Standard: A comprehensive review

2021/2/10

Redundancy and optimization of tANS entropy encoders

IEEE Transactions on Multimedia

2021

Block-wise intra-prediction of imaging data based on overfitted neural networks with on-line learning

2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)

2021/11/15

Joan Serra-Sagrista
Joan Serra-Sagrista

H-Index: 14

See List of Professors in Joan Serra-Sagrista University(Universidad Autónoma de Barcelona)

Co-Authors

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