Jeffri Murrugarra

I am a PhD student in the Computer Science department at Stony Brook University, advised by Profa. Paolca Cascante-Bonilla. My research is focused on Computer vision and Natural Language Processing. Before this, I was as an assistant researcher at Federal University of Rio Grande do Sul.

In 2022, I obtained my Masters in Computer Science from Federal University of Rio Grande do Sul, where I worked with Prof. Claudio Rosito Jung at the department of informatics. Our research lies problems about spherical images and oriented object detectors. Previously, I obtained a Bachelor of Science in Computer Science from National University of Trujillo.


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News
  • ...
  • [Aug 2024] Started my PhD at Stony Brook University.
Publications / Pre-prints
Probabilistic Intersection-Over-Union for Training and Evaluation of Oriented Object Detectors
Jeffri Murrugarra Llerena; Lucas Kirsten; Luis Felip Zeni; Claudio Rosito Jung
IEEE Transactions on Image Processing, 2024
paper

We propose a new probabilistic loss function, to train oriented object detectors.

Improving Embeddings Representations for Comparing Higher Education Curricula: A Use Case in Computing.
Jeffri Murrugarra Llerena; Fernando Manchego; Nils Murrugarra
In Empirical Methods in Natural Language Processing (EMNLP), 2022
paper / code

We have implemented an attention module in conjunction with metric learning to enhance human interpretability, mirroring core courses per computing career.

Can We Trust Bounding Box Annotations for Object Detection?
Jeffri Murrugarra Llerena; Lucas Kirsten; Claudio Rosito Jung
Computer Vision and Pattern Recognition Conference Workshops (CVPRW), 2022
paper

This paper presented a critical analysis of popular datasets for HBB and OBB object detection, namely COCO, VOC, and DOTA/iSAID, aiming to check the consistency of bounding box annotations and segmentation masks and how discrepancies affect the IoU and AP metrics.

Pose Estimation for Two-View Panoramas Based on Keypoint Matching: A Comparative Study and Critical Analysis
Jeffri Murrugarra Llerena; Thiago Silveira; Claudio Jung,
Computer Vision and Pattern Recognition Conference Workshops (CVPRW) , 2022
paper

In this paper, we presented a comparative analysis of seven keypoint matching algorithms applied to 360◦ image pairs using several pose estimation approaches.

3D Scene Geometry Estimation from 360° Imagery: A Survey
Thiago Silveira; Paulo G. L. Pinto; Jeffri Murrugarra Llerena; Claudio Jung
ACM Computing Surveys (CSUR), 2022
paper

This paper provides a comprehensive survey on pioneer and state-of-the-art 3D scene geometry estimation methodologies based on single, two, or multiple images captured under the omnidirectional optics.


Credits