Konstantin Kobs

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 24

Top Topics

Aesthetically Pleasing

Metric Learning

Top Venues

Publications

Dirk Wangsadirdja, Jan Pfister, Konstantin Kobs, Andreas Hotho
Jack-Ryder at SemEval-2023 Task 5: Zero-Shot Clickbait Spoiling by Rephrasing Titles as Questions. SemEval@ACL (2023)
Christian Schell, Konstantin Kobs, Tamara Fernando, Andreas Hotho, Marc Erich Latoschik
Extensible Motion-based Identification of XR Users with Non-Specific Motion. CoRR (2023)
Konstantin Kobs, Michael Steininger, Andreas Hotho
InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images. WACV (2023)
Stefan Heil, Karina Kopp, Albin Zehe, Konstantin Kobs, Andreas Hotho
LSX_team5 at SemEval-2022 Task 8: Multilingual News Article Similarity Assessment based on Word- and Sentence Mover's Distance. SemEval@NAACL (2022)
Dirk Wangsadirdja, Felix Heinickel, Simon Trapp, Albin Zehe, Konstantin Kobs, Andreas Hotho
WueDevils at SemEval-2022 Task 8: Multilingual News Article Similarity via Pair-Wise Sentence Similarity Matrices. SemEval@NAACL (2022)
Konstantin Kobs, Michael Steininger, Andreas Hotho
InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images. CoRR (2022)
Simon Hentschel, Konstantin Kobs, Andreas Hotho
CLIP knows image aesthetics. Frontiers Artif. Intell. 5 (2022)
Konstantin Kobs, Andreas Hotho
On Background Bias in Deep Metric Learning. CoRR (2022)
Konstantin Kobs, Michael Steininger, Andrzej Dulny, Andreas Hotho
Do Different Deep Metric Learning Losses Lead to Similar Learned Features? CoRR (2022)
Konstantin Kobs, Michael Steininger, Andrzej Dulny, Andreas Hotho
Do Different Deep Metric Learning Losses Lead to Similar Learned Features? ICCV (2021)
Jan Pfister, Konstantin Kobs, Andreas Hotho
Self-Supervised Multi-Task Pretraining Improves Image Aesthetic Assessment. CVPR Workshops (2021)
Tobias Koopmann, Konstantin Kobs, Konstantin Herud, Andreas Hotho
CoBERT: Scientific Collaboration Prediction via Sequential Recommendation. ICDM (Workshops) (2021)
Michael Steininger, Konstantin Kobs, Padraig Davidson, Anna Krause, Andreas Hotho
Density-based weighting for imbalanced regression. Mach. Learn. 110 (8) (2021)
Padraig Davidson, Michael Steininger, Florian Lautenschlager, Konstantin Kobs, Anna Krause, Andreas Hotho
Anomaly Detection in Beehives using Deep Recurrent Autoencoders. SENSORNETS (2020)
Konstantin Kobs, Albin Zehe, Armin Bernstetter, Julian Chibane, Jan Pfister, Julian Tritscher, Andreas Hotho
Emote-Controlled: Obtaining Implicit Viewer Feedback Through Emote-Based Sentiment Analysis on Comments of Popular Twitch.tv Channels. ACM Trans. Soc. Comput. 3 (2) (2020)
Michael Steininger, Konstantin Kobs, Albin Zehe, Florian Lautenschlager, Martin Becker, Andreas Hotho
MapLUR: Exploring a New Paradigm for Estimating Air Pollution Using Deep Learning on Map Images. ACM Trans. Spatial Algorithms Syst. 6 (3) (2020)
Konstantin Kobs, Michael Steininger, Albin Zehe, Florian Lautenschlager, Andreas Hotho
SimLoss: Class Similarities in Cross Entropy. ISMIS (2020)
Michael Fischer, Konstantin Kobs, Andreas Hotho
NICER: Aesthetic Image Enhancement with Humans in the Loop. CoRR (2020)
Konstantin Kobs, Christian Schäfer, Michael Steininger, Anna Krause, Roland Baumhauer, Heiko Paeth, Andreas Hotho
Semi-Supervised Learning for Grain Size Distribution Interpolation. ICPR Workshops (6) (2020)
Padraig Davidson, Michael Steininger, Florian Lautenschlager, Konstantin Kobs, Anna Krause, Andreas Hotho
Anomaly Detection in Beehives using Deep Recurrent Autoencoders. CoRR (2020)
Konstantin Kobs, Michael Steininger, Albin Zehe, Florian Lautenschlager, Andreas Hotho
SimLoss: Class Similarities in Cross Entropy. CoRR (2020)
Konstantin Kobs, Tobias Koopmann, Albin Zehe, David Fernes, Philipp Krop, Andreas Hotho
Where to Submit? Helping Researchers to Choose the Right Venue. EMNLP (Findings) (2020)
Michael Steininger, Konstantin Kobs, Albin Zehe, Florian Lautenschlager, Martin Becker, Andreas Hotho
MapLUR: Exploring a new Paradigm for Estimating Air Pollution using Deep Learning on Map Images. CoRR (2020)
Konstantin Kobs, Martin Potthast, Matti Wiegmann, Albin Zehe, Benno Stein, Andreas Hotho
Towards Predicting the Subscription Status of Twitch.tv Users - ECML-PKDD ChAT Discovery Challenge 2020. ChAT@PKDD/ECML (2020)