Adapting a segmentation model from a labeled source domain to a target
d...
Renal transplantation emerges as the most effective solution for end-sta...
Transformers were initially introduced for natural language processing (...
The discounting mechanism in Reinforcement Learning determines the relat...
A large body of recent work targets semantically conditioned image
gener...
Simulating trajectories of virtual crowds is a commonly encountered task...
Reinforcement Learning is an area of Machine Learning focused on how age...
Image style transfer has attracted widespread attention in the past few
...
Modern works on style transfer focus on transferring style from a single...
Capturing the `mutual gaze' of people is essential for understanding and...
Current state-of-the-art approaches for spatio-temporal action localizat...
Object detection is one of the most important challenges in computer vis...