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Found 7 papers, 1 papers with code
Cardiac and respiratory motion extraction for MRI using Pilot Tone-a patient study
Purpose: We seek to evaluate the accuracy and reliability of the cardiac and respiratory signals extracted from PT in patients clinically referred for cardiovascular MRI with the image-derived signals as the reference.
Neural Retrieval for Question Answering with Cross-Attention Supervised Data Augmentation
Independently computing embeddings for questions and answers results in late fusion of information related to matching questions to their answers.
Fully Self-Gated Whole-Heart 4D Flow Imaging from a Five-Minute Scan
ReVEAL4D is validated using data from eight healthy volunteers and two patients and compared with a compressed sensing technique, L1-SENSE.
Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects
Challenges in taking the state-space approach are the estimation of the high-dimensional state of a deformable object from raw images, where annotations are very expensive on real data, and finding a dynamics model that is both accurate, generalizable, and efficient to compute.
A Pixel-Based Framework for Data-Driven Clothing
With the aim of creating virtual cloth deformations more similar to real world clothing, we propose a new computational framework that recasts three dimensional cloth deformation as an RGB image in a two dimensional pattern space.
Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos
Every moment counts in action recognition.
Ranked #7 on
Action Detection
on Multi-THUMOS
