22 citations · 45 across the 7 of their papers we have counts for
9 papers
CARDIUM: Congenital Anomaly Recognition with Diagnostic Images and Unified Medical records
Daniela Vega, Hannah V. Ceballos, Javier S. Vera +10
Prenatal diagnosis of Congenital Heart Diseases (CHDs) holds great potential for Artificial Intelligence (AI)-driven solutions. However, collecting high-quality diagnostic data rem…
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…
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…
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…
EgoCOL: Egocentric Camera pose estimation for Open-world 3D object Localization @Ego4D challenge 2023
Cristhian Forigua, Maria Escobar, Jordi Pont-Tuset +2
We present EgoCOL, an egocentric camera pose estimation method for open-world 3D object localization. Our method leverages sparse camera pose reconstructions in a two-fold manner,…
BoDiffusion: Diffusing Sparse Observations for Full-Body Human Motion Synthesis
Angela Castillo, Maria Escobar, Guillaume Jeanneret +4
Mixed reality applications require tracking the user's full-body motion to enable an immersive experience. However, typical head-mounted devices can only track head and hand moveme…
Video Swin Transformers for Egocentric Video Understanding @ Ego4D Challenges 2022
Maria Escobar, Laura Daza, Cristina González +2
We implemented Video Swin Transformer as a base architecture for the tasks of Point-of-No-Return temporal localization and Object State Change Classification. Our method achieved c…
Generalized Real-World Super-Resolution through Adversarial Robustness
Angela Castillo, María Escobar, Juan C. Pérez +4
Real-world Super-Resolution (SR) has been traditionally tackled by first learning a specific degradation model that resembles the noise and corruption artifacts in low-resolution i…
SIMBA: Specific Identity Markers for Bone Age Assessment
Cristina González, María Escobar, Laura Daza +3
Bone Age Assessment (BAA) is a task performed by radiologists to diagnose abnormal growth in a child. In manual approaches, radiologists take into account different identity marker…