Lars Schmarje - RankMe

30 papers A* 1B 1C 1Misc 1Journal 18Unranked 7

Year	Rank	Type	Title / 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