779 citations · 1.1k across the 10 of their papers we have counts for
5 papers · 1 filter
PeopleSansPeople: A Synthetic Data Generator for Human-Centric Computer Vision
Salehe Erfanian Ebadi, You-Cyuan Jhang, Alex Zook +6
In recent years, person detection and human pose estimation have made great strides, helped by large-scale labeled datasets. However, these datasets had no guarantees or analysis o…
On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning
Andrew Cohen, Ervin Teng, Vincent-Pierre Berges +5
The creation and destruction of agents in cooperative multi-agent reinforcement learning (MARL) is a critically under-explored area of research. Current MARL algorithms often assum…
Semi-supervised Dense Keypoints Using Unlabeled Multiview Images
Zhixuan Yu, Haozheng Yu, Long Sha +2
This paper presents a new end-to-end semi-supervised framework to learn a dense keypoint detector using unlabeled multiview images. A key challenge lies in finding the exact corres…
Unity Perception: Generate Synthetic Data for Computer Vision
Steve Borkman, Adam Crespi, Saurav Dhakad +12
We introduce the Unity Perception package which aims to simplify and accelerate the process of generating synthetic datasets for computer vision tasks by offering an easy-to-use an…
Technology Readiness Levels for Machine Learning Systems
Alexander Lavin, Ciarán M. Gilligan-Lee, Alessya Visnjic +12
The development and deployment of machine learning (ML) systems can be executed easily with modern tools, but the process is typically rushed and means-to-an-end. The lack of dilig…