Maximilian Schall

According to our database, Maximilian Schall authored at least 9 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

GorillaWatch: An Automated System for In-the-Wild Gorilla Re-Identification and Population Monitoring.

Maximilian Schall, Felix Leonard Knöfel, Noah Elias König, Jan Jonas Kubeler, Maximilian von Klinski, Joan Wilhelm Linnemann, Xiaoshi Liu, Iven Jelle Schlegelmilch, Ole Woyciniuk, Alexandra Schild, Dante Wasmuht, Magdalena Bermejo Espinet, German Illera Basas, Gerard de Melo

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

TaxonRL: Reinforcement Learning with Intermediate Rewards for Interpretable Fine-Grained Visual Reasoning.

Maximilian von Klinski, Maximilian Schall

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

FalconEye: Efficient Centroid-Based Object Detection for Maritime High Altitude UAV Images on Embedded Devices.

Rohan Sawahn, Maximilian Schall

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

The Hidden Cost of Structure: How Constrained Decoding Affects Language Model Performance.

Maximilian Schall, Gerard de Melo

Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing, 2025

2024

CommitBench.

Maximilian Schall, Tamara Czinczoll, Gerard de Melo

Dataset, January, 2024

NextLevelBERT: Investigating Masked Language Modeling with Higher-Level Representations for Long Documents.

Tamara Czinczoll, Christoph Hönes, Maximilian Schall, Gerard de Melo

CoRR, 2024

CommitBench: A Benchmark for Commit Message Generation.

Maximilian Schall, Tamara Czinczoll, Gerard de Melo

Proceedings of the IEEE International Conference on Software Analysis, 2024

NextLevelBERT: Masked Language Modeling with Higher-Level Representations for Long Documents.

Tamara Czinczoll, Christoph Hönes, Maximilian Schall, Gerard de Melo

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Efficient Parallelization Layouts for Large-Scale Distributed Model Training.

Johannes Hagemann, Samuel Weinbach, Konstantin Dobler, Maximilian Schall, Gerard de Melo

CoRR, 2023