4 citations · 6 across the 7 of their papers we have counts for
7 papers
3D Pose Detection in Videos: Focusing on Occlusion
Justin Wang, Edward Xu, Kangrui Xue +1
In this work, we build upon existing methods for occlusion-aware 3D pose detection in videos. We implement a two stage architecture that consists of the stacked hourglass network t…
Modeling treatment events in disease progression
Guanyang Wang, Yumeng Zhang, Yong Deng +2
Ability to quantify and predict progression of a disease is fundamental for selecting an appropriate treatment. Many clinical metrics cannot be acquired frequently either because o…
Artificial Intelligence for Prosthetics - challenge solutions
Łukasz Kidziński, Carmichael Ong, Sharada Prasanna Mohanty +47
In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, participants were tasked with building a controller for a musculoskeletal model with a goal of matching a giv…
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments
Łukasz Kidziński, Sharada Prasanna Mohanty, Carmichael Ong +26
In the NIPS 2017 Learning to Run challenge, participants were tasked with building a controller for a musculoskeletal model to make it run as fast as possible through an obstacle c…
Learning to Run challenge: Synthesizing physiologically accurate motion using deep reinforcement learning
Łukasz Kidziński, Sharada P. Mohanty, Carmichael Ong +5
Synthesizing physiologically-accurate human movement in a variety of conditions can help practitioners plan surgeries, design experiments, or prototype assistive devices in simulat…
SweetRS: Dataset for a recommender systems of sweets
Łukasz Kidziński
Benchmarking recommender system and matrix completion algorithms could be greatly simplified if the entire matrix was known. We built a \url{sweetrs.org} platform with candies…