activity
20192025
most citedBridging the Gap Between Computational Photography and Visual Recognition

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

collaborators

6 papers

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.SE2021

Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems

Sophia Abraham, Zachariah Carmichael, Sreya Banerjee +5

Computer vision approaches are widely used by autonomous robotic systems to sense the world around them and to guide their decision making as they perform diverse tasks such as col…

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…