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researcher

N. Hendrich

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.RO2
  • cs.CV1

identity via Semantic Scholar / OpenAlex

most citedNearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation

7 citations · 8 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CV2021★ 7 cited

Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation

Song Tang, Yan Yang, Zhiyuan Ma +5

In the classic setting of unsupervised domain adaptation (UDA), the labeled source data are available in the training phase. However, in many real-world scenarios, owing to some re…

cs.RO2020★ 1 cited

Self-Adapting Recurrent Models for Object Pushing from Learning in Simulation

Lin Cong, Michael Görner, Philipp Ruppel +3

Planar pushing remains a challenging research topic, where building the dynamic model of the interaction is the core issue. Even an accurate analytical dynamic model is inherently…

cs.RO2020

A Mobile Robot Hand-Arm Teleoperation System by Vision and IMU

Shuang Li, Jiaxi Jiang, Philipp Ruppel +5

In this paper, we present a multimodal mobile teleoperation system that consists of a novel vision-based hand pose regression network (Transteleop) and an IMU-based arm tracking me…

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