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20192025
most citedBridging the Gap Between Computational Photography and Visual Recognition

63 citations · 64 across the 5 of their papers we have counts for

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cs.CV2025

LENVIZ: A High-Resolution Low-Exposure Night Vision Benchmark Dataset

Manjushree Aithal, Rosaura G. VidalMata, Manikandtan Kartha +6

Low-light image enhancement is crucial for a myriad of applications, from night vision and surveillance, to autonomous driving. However, due to the inherent limitations that come i…

cs.CV2024

Unified-EGformer: Exposure Guided Lightweight Transformer for Mixed-Exposure Image Enhancement

Eashan Adhikarla, Kai Zhang, Rosaura G. VidalMata +5

Despite recent strides made by AI in image processing, the issue of mixed exposure, pivotal in many real-world scenarios like surveillance and photography, remains inadequately add…

cs.CV2023★ 1 cited

On the Effectiveness of Image Manipulation Detection in the Age of Social Media

Rosaura G. VidalMata, Priscila Saboia, Daniel Moreira +3

Image manipulation detection algorithms designed to identify local anomalies often rely on the manipulated regions being ``sufficiently'' different from the rest of the non-tampere…

cs.CV2020

Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences

Rosaura G. VidalMata, Walter J. Scheirer, Anna Kukleva +2

Understanding the structure of complex activities in untrimmed videos is a challenging task in the area of action recognition. One problem here is that this task usually requires a…

cs.CV2019★ 63 cited

Bridging the Gap Between Computational Photography and Visual Recognition

Rosaura G. VidalMata, Sreya Banerjee, Brandon RichardWebster +21

What is the current state-of-the-art for image restoration and enhancement applied to degraded images acquired under less than ideal circumstances? Can the application of such algo…