402 citations · 611 across the 25 of their papers we have counts for
3 papers · 1 filter
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods
Apratim Bhattacharyya, Mario Fritz, Bernt Schiele
For autonomous agents to successfully operate in the real world, the ability to anticipate future scene states is a key competence. In real-world scenarios, future states become in…
Accurate and Diverse Sampling of Sequences based on a "Best of Many" Sample Objective
Apratim Bhattacharyya, Bernt Schiele, Mario Fritz
For autonomous agents to successfully operate in the real world, anticipation of future events and states of their environment is a key competence. This problem has been formalized…
Bayesian Prediction of Future Street Scenes through Importance Sampling based Optimization
Apratim Bhattacharyya, Mario Fritz, Bernt Schiele
For autonomous agents to successfully operate in the real world, anticipation of future events and states of their environment is a key competence. This problem can be formalized a…