output
19962021
most citedA Survey on Deep Domain Adaptation for LiDAR Perception

58 citations

Showing 2021Show all

6 papers · 1 filter

cs.CV2021★ 1 cited

Semi-Local Convolutions for LiDAR Scan Processing

Larissa T. Triess, David Peter, J. Marius Zöllner

A number of applications, such as mobile robots or automated vehicles, use LiDAR sensors to obtain detailed information about their three-dimensional surroundings. Many methods use…

cs.CL2021★ 1 cited

Context Matters in Semantically Controlled Language Generation for Task-oriented Dialogue Systems

Ye Liu, Wolfgang Maier, Wolfgang Minker +1

This work combines information about the dialogue history encoded by pre-trained model with a meaning representation of the current system utterance to realize contextual language…

cs.CV2021

Quantifying point cloud realism through adversarially learned latent representations

Larissa T. Triess, David Peter, Stefan A. Baur +1

Judging the quality of samples synthesized by generative models can be tedious and time consuming, especially for complex data structures, such as point clouds. This paper presents…

cs.CL2021★ 1 cited

Naturalness Evaluation of Natural Language Generation in Task-oriented Dialogues using BERT

Ye Liu, Wolfgang Maier, Wolfgang Minker +1

This paper presents an automatic method to evaluate the naturalness of natural language generation in dialogue systems. While this task was previously rendered through expensive an…

cs.CV2021★ 58 cited

A Survey on Deep Domain Adaptation for LiDAR Perception

Larissa T. Triess, Mariella Dreissig, Christoph B. Rist +1

Scalable systems for automated driving have to reliably cope with an open-world setting. This means, the perception systems are exposed to drastic domain shifts, like changes in we…

eess.SY2021★ 5 cited

A Concise Guide on the Integration of Battery Electric Buses into Urban Bus Networks

Nicolas Dirks, Dennis Wagner, Maximilian Schiffer +1

With the increasing market penetration of battery-electric buses into urban bus networks, practitioners face many novel planning problems. As a result, the interest in optimization…