no code implementations • CVPR 2023 • Rui Guo, Jasmine Collins, Oscar de Lima, Andrew Owens
Our model learns to camouflage a variety of object shapes from randomly sampled locations and viewpoints within the input scene, and is the first to address the problem of hiding complex object shapes.
1 code implementation • 26 Jun 2020 • Oscar de Lima, Sean Franklin, Shreshtha Basu, Blake Karwoski, Annet George
Better generative models and larger datasets have led to more realistic fake videos that can fool the human eye but produce temporal and spatial artifacts that deep learning approaches can detect.
1 code implementation • 18 Jun 2020 • Oscar de Lima, Hansal Shah, Ting-Sheng Chu, Brian Fogelson
Also, our algorithm is able to outperform IDQN baseline in the scenario where we have a variable number of passengers and cars in each episode.
Multi-agent Reinforcement Learning reinforcement-learning +1