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ORCIDChristoffer Löffler
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2020 – today
- 2023
[b1]Christoffer Löffler:
Active Deep Learning of Representations for Similarity Search. University of Erlangen-Nuremberg, Germany, 2023- [j3]Christoffer Löffler, Kion Fallah, Stefano Fenu, Dario Zanca, Björn M. Eskofier, Christopher John Rozell, Christopher Mutschler:
Active Learning of Ordinal Embeddings: A User Study on Football Data. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [j2]Christoffer Löffler, Christopher Mutschler:
IALE: Imitating Active Learner Ensembles. J. Mach. Learn. Res. 23: 107:1-107:29 (2022) - [j1]Christoffer Löffler
, Luca Reeb, Daniel Dzibela, Robert Marzilger, Nicolas Witt, Björn M. Eskofier, Christopher Mutschler:
Deep Siamese Metric Learning: A Highly Scalable Approach to Searching Unordered Sets of Trajectories. ACM Trans. Intell. Syst. Technol. 13(1): 6:1-6:23 (2022) - [i4]Christoffer Löffler, Wei-Cheng Lai, Bjoern M. Eskofier, Dario Zanca, Lukas Schmidt, Christopher Mutschler:
Don't Get Me Wrong: How to apply Deep Visual Interpretations to Time Series. CoRR abs/2203.07861 (2022) - [i3]Christoffer Löffler, Kion Fallah, Stefano Fenu, Dario Zanca, Bjoern M. Eskofier, Christopher John Rozell, Christopher Mutschler:
Active Learning of Ordinal Embeddings: A User Study on Football Data. CoRR abs/2207.12710 (2022) - 2020
- [c10]Felix Ott, Tobias Feigl, Christoffer Löffler, Christopher Mutschler:
ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization. CVPR Workshops 2020: 187-198 - [c9]Tobias Feigl, Andreas Porada, Steve Steiner, Christoffer Löffler, Christopher Mutschler, Michael Philippsen:
Localization Limitations of ARCore, ARKit, and Hololens in Dynamic Large-scale Industry Environments. VISIGRAPP (1: GRAPP) 2020: 307-318 - [c8]Anes Redzepagic, Christoffer Löffler, Tobias Feigl, Christopher Mutschler:
A Sense of Quality for Augmented Reality Assisted Process Guidance. ISMAR Adjunct 2020: 129-134 - [c7]Christoffer Löffler, Christian Nickel, Christopher Sobel, Daniel Dzibela, Jonathan Braat, Benjamin Gruhler, Philipp Woller, Nicolas Witt, Christopher Mutschler:
Automated Quality Assurance for Hand-Held Tools via Embedded Classification and AutoML. ECML/PKDD (5) 2020: 532-535 - [i2]Christoffer Löffler, Karthik Ayyalasomayajula, Sascha Riechel, Christopher Mutschler:
IALE: Imitating Active Learner Ensembles. CoRR abs/2007.04637 (2020)
2010 – 2019
- 2019
- [i1]Felix Ott, Tobias Feigl, Christoffer Löffler, Christopher Mutschler:
ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization. CoRR abs/1912.08263 (2019) - 2018
- [c6]Christoffer Löffler, Sascha Riechel, Janina Fischer, Christopher Mutschler:
Evaluation Criteria for Inside-Out Indoor Positioning Systems Based on Machine Learning. IPIN 2018: 1-8 - [c5]Lorenz Gorse, Christoffer Löffler, Christopher Mutschler, Michael Philippsen:
Optical Camera Communication for Active Marker Identification in Camera-based Positioning Systems. WPNC 2018: 1-6 - 2015
- [c4]Christoffer Löffler, Christopher Mutschler, Michael Philippsen:
Approximative event processing on sensor data streams. DEBS 2015: 360-363 - 2014
- [c3]Christopher Mutschler, Christoffer Löffler, Nicolas Witt, Thorsten Edelhäußer, Michael Philippsen:
Predictive load management in smart grid environments. DEBS 2014: 282-287 - [c2]Ibrahim Alagöz, Christoffer Löffler, Vitali Schneider, Reinhard German:
Simulating the Energy Management on Smartphones Using Hybrid Modeling Techniques. MMB/DFT 2014: 207-224 - 2013
- [c1]Christoffer Löffler, Christopher Mutschler, Michael Philippsen:
Evolutionary algorithms that use runtime migration of detector processes to reduce latency in event-based systems. AHS 2013: 31-38
Coauthor Index
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