76 citations · 76 across the 5 of their papers we have counts for
5 papers
Measuring Physical Plausibility of 3D Human Poses Using Physics Simulation
Nathan Louis, Mahzad Khoshlessan, Jason J. Corso
Modeling humans in physical scenes is vital for understanding human-environment interactions for applications involving augmented reality or assessment of human actions from video…
Learning to Estimate External Forces of Human Motion in Video
Nathan Louis, Tylan N. Templin, Travis D. Eliason +2
Analyzing sports performance or preventing injuries requires capturing ground reaction forces (GRFs) exerted by the human body during certain movements. Standard practice uses phys…
Temporally Guided Articulated Hand Pose Tracking in Surgical Videos
Nathan Louis, Luowei Zhou, Steven J. Yule +5
Articulated hand pose tracking is an under-explored problem that carries the potential for use in an extensive number of applications, especially in the medical domain. With a robu…
ViP: Video Platform for PyTorch
Madan Ravi Ganesh, Eric Hofesmann, Nathan Louis +1
This work presents the Video Platform for PyTorch (ViP), a deep learning-based framework designed to handle and extend to any problem domain based on videos. ViP supports (1) a sin…
Weakly-Supervised Video Object Grounding from Text by Loss Weighting and Object Interaction
Luowei Zhou, Nathan Louis, Jason J. Corso
We study weakly-supervised video object grounding: given a video segment and a corresponding descriptive sentence, the goal is to localize objects that are mentioned from the sente…