5 citations · 5 across the 1 of their papers we have counts for
4 papers
SuperCaustics: Real-time, open-source simulation of transparent objects for deep learning applications
Mehdi Mousavi, Rolando Estrada
Transparent objects are a very challenging problem in computer vision. They are hard to segment or classify due to their lack of precise boundaries, and there is limited data avail…
Continual Learning with Deep Artificial Neurons
Blake Camp, Jaya Krishna Mandivarapu, Rolando Estrada
Neurons in real brains are enormously complex computational units. Among other things, they're responsible for transforming inbound electro-chemical vectors into outbound action po…
AI Playground: Unreal Engine-based Data Ablation Tool for Deep Learning
Mehdi Mousavi, Aashis Khanal, Rolando Estrada
Machine learning requires data, but acquiring and labeling real-world data is challenging, expensive, and time-consuming. More importantly, it is nearly impossible to alter real da…
Deep Active Learning via Open Set Recognition
Jaya Krishna Mandivarapu, Blake Camp, Rolando Estrada
In many applications, data is easy to acquire but expensive and time-consuming to label prominent examples include medical imaging and NLP. This disparity has only grown in recent…