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The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning., , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 43 (10): 3724-3738 (2021)A Generalized Framework for Agglomerative Clustering of Signed Graphs applied to Instance Segmentation., , , , , and . CoRR, (2019)Unsupervised Learning of Object-Centric Embeddings for Cell Instance Segmentation in Microscopy Images., , , , and . CoRR, (2023)Instance Separation Emerges from Inpainting., , and . CoRR, (2020)Estimation of Protein-Ligand Unbinding Kinetics Using Non-Equilibrium Targeted Molecular Dynamics Simulations., , , , , , , , , and 1 other author(s). J. Chem. Inf. Model., 59 (12): 5135-5147 (2019)Ligand Unbinding Pathway and Mechanism Analysis Assisted by Machine Learning and Graph Methods., , and . J. Chem. Inf. Model., 62 (19): 4591-4604 (2022)ALE: A Simulation-Based Active Learning Evaluation Framework for the Parameter-Driven Comparison of Query Strategies for NLP., , , , , , , and . DeLTA, volume 1875 of Communications in Computer and Information Science, page 235-253. Springer, (2023)GASP, a generalized framework for agglomerative clustering of signed graphs and its application to Instance Segmentation., , , , , , and . CVPR, page 11635-11645. IEEE, (2022)The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation., , , , , and . ECCV (6), volume 12351 of Lecture Notes in Computer Science, page 208-224. Springer, (2020)Learning the Arrow of Time., , , , and . CoRR, (2019)