3 papers
cs.LG2020
Explicit Domain Adaptation with Loosely Coupled Samples
Oliver Scheel, Loren Schwarz, Nassir Navab +1
Transfer learning is an important field of machine learning in general, and particularly in the context of fully autonomous driving, which needs to be solved simultaneously for man…
stat.ML2020
Ambiguity in Sequential Data: Predicting Uncertain Futures with Recurrent Models
Alessandro Berlati, Oliver Scheel, Luigi Di Stefano +1
Ambiguity is inherently present in many machine learning tasks, but especially for sequential models seldom accounted for, as most only output a single prediction. In this work we…
cs.CV2019
Attention-based Lane Change Prediction
Oliver Scheel, Naveen Shankar Nagaraja, Loren Schwarz +2
Lane change prediction of surrounding vehicles is a key building block of path planning. The focus has been on increasing the accuracy of prediction by posing it purely as a functi…