3 papers
cs.CV2024
EgoCast: Forecasting Egocentric Human Pose in the Wild
Maria Escobar, Juanita Puentes, Cristhian Forigua +3
Accurately estimating and forecasting human body pose is important for enhancing the user's sense of immersion in Augmented Reality. Addressing this need, our paper introduces EgoC…
cs.CV2024
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives
Kristen Grauman, Andrew Westbury, Lorenzo Torresani +98
We present Ego-Exo4D, a diverse, large-scale multimodal multiview video dataset and benchmark challenge. Ego-Exo4D centers around simultaneously-captured egocentric and exocentric…
eess.IV2024
SuperFormer: Volumetric Transformer Architectures for MRI Super-Resolution
Cristhian Forigua, Maria Escobar, Pablo Arbelaez
This paper presents a novel framework for processing volumetric medical information using Visual Transformers (ViTs). First, We extend the state-of-the-art Swin Transformer model t…