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Superformer: Volumetric transformer architectures for mri super-resolution

Published in SASHIMI Workshop - MICCAI 2022, 2022

A 3D Swin-Transformer-based model that uses local self-attention with volumetric and feature-domain fusion to enhance MRI resolution.

Recommended citation: Forigua, C., Escobar, M., & Arbelaez, P. (2022, September). Superformer: Volumetric transformer architectures for mri super-resolution. In International workshop on simulation and synthesis in medical imaging (pp. 132-141). Cham: Springer International Publishing.
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EgoCOL: Egocentric Camera pose estimation for Open-world 3D object Localization@ Ego4D challenge 2023

Published in Ego4D challenge at CVPR 2023, 2023

A dual-reconstruction egocentric camera pose estimation method that boosts recall and precision for open-world 3D object localization in the Ego4D VQ3D challenge.

Recommended citation: Forigua, C., Escobar, M., Pont-Tuset, J., Maninis, K. K., & Arbeláez, P. (2023). EgoCOL: Egocentric Camera pose estimation for Open-world 3D object Localization@ Ego4D challenge 2023. arXiv preprint arXiv:2306.16606.
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Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives

Published in CVPR 2024 (Oral presentation), 2024

A large-scale multimodal dataset capturing synchronized egocentric and exocentric video of skilled human activities.

Recommended citation: Grauman, K., Westbury, A., Torresani, L., Kitani, K., Malik, J., Afouras, T., ... & Wray, M. (2024). Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 19383-19400).
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Egocast: Forecasting egocentric human pose in the wild

Published in WACV 2025, 2025

A bimodal Transformer that forecasts future 3D body poses from first-person video and headset motion using pseudo-ground-truth estimation.

Recommended citation: Escobar, M., Puentes, J., Forigua, C., Pont-Tuset, J., Maninis, K. K., & Arbelaez, P. (2025, February). Egocast: Forecasting egocentric human pose in the wild. In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (pp. 5831-5841). IEEE.
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New algorithms for unsupervised cell clustering from scRNA-seq data

Published in Bioinformatics Advances, 2025

Novel k-MST graph-based clustering methods tailored for unsupervised identification of cell types from single-cell RNA-seq datasets.

Recommended citation: Robles, M., Díaz-Riaño, J., Forigua, C., Ojeda, S., Guio, L., Siaucho, P., ... & Duitama, J. (2025). New algorithms for unsupervised cell clustering from scRNA-seq data. Bioinformatics Advances.
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Cristhian Forigua