Lars Schmarje

30 papers A* 1B 1C 1Misc 1Journal 18Unranked 7
YearRankTypeTitle / Venue / Authors
2026 — conf
From Label Error Detection to Correction: A Modular Framework and Benchmark for Object Detection Datasets.
VISAPP (2)
Sarina Penquitt, Jonathan Klees, Rinor Cakaj, Daniel Kondermann, Matthias Rottmann, Lars Schmarje
2025 J jnl
From Label Error Detection to Correction: A Modular Framework and Benchmark for Object Detection Datasets.
CoRR
Sarina Penquitt, Jonathan Klees, Rinor Cakaj, Daniel Kondermann, Matthias Rottmann, Lars Schmarje
2024 — —
Addressing the Challenge of Ambiguous Data in Deep Learning: A Strategy for Creating High-quality Image Annotations with Human Reliability and Judgement Enhancement.
Lars Schmarje
2024 J jnl
UNCOVER: Unknown Class Object Detection for Autonomous Vehicles in Real-time.
CoRR
Lars Schmarje, Kaspar Sakman, Reinhard Koch, Dan Zhang
2023 — conf
A Simple and Explainable Method for Uncertainty Estimation using Attribute Prototype Networks.
ICCV (Workshops)
Claudius Zelenka, Andrea Göhring, Daniyal Kazempour, Maximilian Hünemörder, Lars Schmarje, Peer Kröger
2023 J jnl
Annotating Ambiguous Images: General Annotation Strategy for Image Classification with Real-World Biomedical Validation on Vertebral Fracture Diagnosis.
CoRR
Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Reinhard Koch
2023 — conf
Label Smarter, Not Harder: CleverLabel for Faster Annotation of Ambiguous Image Classification with Higher Quality.
DAGM
Lars Schmarje, Vasco Grossmann, Tim Michels, Jakob Nazarenus, Monty Santarossa, Claudius Zelenka, Reinhard Koch
2023 J jnl
Label Smarter, Not Harder: CleverLabel for Faster Annotation of Ambiguous Image Classification with Higher Quality.
CoRR
Lars Schmarje, Vasco Grossmann, Tim Michels, Jakob Nazarenus, Monty Santarossa, Claudius Zelenka, Reinhard Koch
2022 — conf
A Data-Centric Approach for Improving Ambiguous Labels with Combined Semi-supervised Classification and Clustering.
ECCV (8)
Lars Schmarje, Monty Santarossa, Simon-Martin Schröder, Claudius Zelenka, Rainer Kiko, Jenny Stracke, Nina Volkmann, Reinhard Koch
2022 J jnl
Beyond Hard Labels: Investigating data label distributions.
CoRR
Vasco Grossmann, Lars Schmarje, Reinhard Koch
2022 A* conf
Is one annotation enough? - A data-centric image classification benchmark for noisy and ambiguous label estimation.
NeurIPS
Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Sabine Dippel, Rainer Kiko, Mariusz Oszust, Matti Pastell, Jenny Stracke, Anna Valros, Nina Volkmann, Reinhard Koch
2022 J jnl
Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation.
CoRR
Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Sabine Dippel, Rainer Kiko, Mariusz Oszust, Matti Pastell, Jenny Stracke, Anna Valros, Nina Volkmann, Reinhard Koch
2022 B conf
MedRegNet: unsupervised multimodal retinal-image registration with GANs and ranking loss.
Image Processing
Monty Santarossa, Ayse Kilic, Claus von der Burchard, Lars Schmarje, Claudius Zelenka, Stefan Reinhold, Reinhard Koch, Johann Roider
2022 — conf
Opportunistic Hip Fracture Risk Prediction in Men from X-ray: Findings from the Osteoporosis in Men (MrOS) Study.
PRIME@MICCAI
Lars Schmarje, Stefan Reinhold, Timo Damm, Eric Orwoll, Claus C. Glüer, Reinhard Koch
2022 J jnl
Opportunistic hip fracture risk prediction in Men from X-ray: Findings from the Osteoporosis in Men (MrOS) Study.
CoRR
Lars Schmarje, Stefan Reinhold, Timo Damm, Eric Orwoll, Claus C. Glüer, Reinhard Koch
2021 J jnl
A Survey on Semi-, Self- and Unsupervised Learning for Image Classification.
IEEE Access
Lars Schmarje, Monty Santarossa, Simon-Martin Schröder, Reinhard Koch
2021 J jnl
Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels with Overclustering and Inverse Cross-Entropy.
CoRR
Lars Schmarje, Johannes Brünger, Monty Santarossa, Simon-Martin Schröder, Rainer Kiko, Reinhard Koch
2021 J jnl
Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels with Overclustering and Inverse Cross-Entropy.
Sensors
Lars Schmarje, Johannes Brünger, Monty Santarossa, Simon-Martin Schröder, Rainer Kiko, Reinhard Koch
2021 C conf
Learning Stixel-based Instance Segmentation.
IV
Monty Santarossa, Lukas Schneider, Claudius Zelenka, Lars Schmarje, Reinhard Koch, Uwe Franke
2021 J jnl
Learning Stixel-based Instance Segmentation.
CoRR
Monty Santarossa, Lukas Schneider, Claudius Zelenka, Lars Schmarje, Reinhard Koch, Uwe Franke
2021 — conf
Life Is Not Black and White - Combining Semi-supervised Learning With Fuzzy Labels.
LWDA
Lars Schmarje, Reinhard Koch
2021 J jnl
Life is not black and white - Combining Semi-Supervised Learning with fuzzy labels.
CoRR
Lars Schmarje, Reinhard Koch
2021 J jnl
S2C2 - An orthogonal method for Semi-Supervised Learning on fuzzy labels.
CoRR
Lars Schmarje, Monty Santarossa, Simon-Martin Schröder, Claudius Zelenka, Rainer Kiko, Jenny Stracke, Nina Volkmann, Reinhard Koch
2020 J jnl
A survey on Semi-, Self- and Unsupervised Techniques in Image Classification.
CoRR
Lars Schmarje, Monty Santarossa, Simon-Martin Schröder, Reinhard Koch
2020 J jnl
Beyond Cats and Dogs: Semi-supervised Classification of fuzzy labels with overclustering.
CoRR
Lars Schmarje, Johannes Brünger, Monty Santarossa, Simon-Martin Schröder, Rainer Kiko, Reinhard Koch
2020 J jnl
Complexity and Inapproximability Results for Parallel Task Scheduling and Strip Packing.
Theory Comput. Syst.
Sören Henning, Klaus Jansen, Malin Rau, Lars Schmarje
2019 — conf
2D and 3D Segmentation of Uncertain Local Collagen Fiber Orientations in SHG Microscopy.
GCPR
Lars Schmarje, Claudius Zelenka, Ulf Geisen, Claus C. Glüer, Reinhard Koch
2019 J jnl
2D and 3D Segmentation of uncertain local collagen fiber orientations in SHG microscopy.
CoRR
Lars Schmarje, Claudius Zelenka, Ulf Geisen, Claus C. Glüer, Reinhard Koch
2018 Misc conf
Complexity and Inapproximability Results for Parallel Task Scheduling and Strip Packing.
CSR
Sören Henning, Klaus Jansen, Malin Rau, Lars Schmarje
2017 J jnl
Complexity and Inapproximability Results for Parallel Task Scheduling and Strip Packing.
CoRR
Sören Henning, Klaus Jansen, Malin Rau, Lars Schmarje