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João Ascenso

17 papers hereh-index 8185 citations34 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author11
  • last author5

Across the 16 of 17 papers where every author was matched, so the position is known.

fields
  • cs.MM11
  • eess.IV3
  • cs.CV2
  • cs.GR1

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedAn Overview of the JPEG AI Learning-Based Image Coding Standard

5 citations · 5 across the 16 of their papers we have counts for

collaborators
Showing 2026Show all

3 papers · 1 filter

cs.GR2026

GS-PQM: A Parameter-Domain Quality Metric for Compressed Gaussian Splatting

Pedro Martin, António Rodrigues, João Ascenso +1

Recent advances in Gaussian Splatting (GS) compression have enabled substantial reductions in GS model size. Reliable objective quality assessment is therefore essential for compar…

eess.IV2026

JPEG AIC2026: A large-scale dataset for fine-grained assessment of image coding

Mohsen Jenadeleh, Jon Sneyers, João Ascenso +8

Recent advances in conventional and learning-based image coding have increased the demand for benchmark datasets that support fine-grained assessment of compressed image quality, p…

cs.MM2026

Structured Image-based Coding for Efficient Gaussian Splatting Compression

Pedro Martin, Antonio Rodrigues, Joao Ascenso +1

Gaussian Splatting (GS) has recently emerged as a state-of-the-art representation for radiance fields, combining real-time rendering with high visual fidelity. However, GS models r…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.