:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Eberhardinger, Manuel, Takenaka, Patrick, Grießhaber, Daniel, Maucher, Johannes
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2501.07334
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Classification of Inkjet Printers based on Droplet Statistics
by: Takenaka, Patrick, et al.
Published: (2024)

ViPro: Enabling and Controlling Video Prediction for Complex Dynamical Scenarios using Procedural Knowledge
by: Takenaka, Patrick, et al.
Published: (2024)

Guiding Video Prediction with Explicit Procedural Knowledge
by: Takenaka, Patrick, et al.
Published: (2024)

ViPro-2: Unsupervised State Estimation via Integrated Dynamics for Guiding Video Prediction
by: Takenaka, Patrick, et al.
Published: (2025)

Unveiling the Decision-Making Process in Reinforcement Learning with Genetic Programming
by: Eberhardinger, Manuel, et al.
Published: (2024)

Generation of Programmatic Rules for Document Forgery Detection Using Large Language Models
by: Schmidberger, Valentin, et al.
Published: (2025)

From Redaction to Restoration: Deep Learning for Medical Image Anonymization and Reconstruction
by: Kline, Adrienne, et al.
Published: (2026)

Emergent AI Surveillance: Overlearned Person Re-Identification and Its Mitigation in Law Enforcement Context
by: Nguyen, An Thi, et al.
Published: (2025)

Latent Diffusion Models for Attribute-Preserving Image Anonymization
by: Piano, Luca, et al.
Published: (2024)

Machine Unlearning for Document Classification
by: Kang, Lei, et al.
Published: (2024)

Generative Medical Image Anonymization Based on Latent Code Projection and Optimization
by: Li, Huiyu, et al.
Published: (2025)

My Body My Choice: Human-Centric Full-Body Anonymization
by: Ciftci, Umur Aybars, et al.
Published: (2024)

Automatic Odometry-Less OpenDRIVE Generation From Sparse Point Clouds
by: Eisemann, Leon, et al.
Published: (2024)

Low-Latency Video Anonymization for Crowd Anomaly Detection: Privacy Versus Performance
by: Asres, Mulugeta Weldezgina, et al.
Published: (2024)

Evaluating the Impact of Data Anonymization on Image Retrieval
by: Chen, Marvin, et al.
Published: (2026)

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models
by: Puente-Castro, Alejandro, et al.
Published: (2025)

Balancing Privacy and Action Performance: A Penalty-Driven Approach to Image Anonymization
by: Aslam, Nazia, et al.
Published: (2025)

Towards Context-Aware Image Anonymization with Multi-Agent Reasoning
by: Aufschläger, Robert, et al.
Published: (2026)

On Synthetic Texture Datasets: Challenges, Creation, and Curation
by: Hoak, Blaine, et al.
Published: (2024)

LungEvaty: A Scalable, Open-Source Transformer-based Deep Learning Model for Lung Cancer Risk Prediction in LDCT Screening
by: Brandt, Johannes, et al.
Published: (2025)

ICDAR 2025 Competition on End-to-End Document Image Machine Translation Towards Complex Layouts
by: Zhang, Yaping, et al.
Published: (2026)

Core Tokensets for Data-efficient Sequential Training of Transformers
by: Paul, Subarnaduti, et al.
Published: (2024)

Data Scaling Laws for Radiology Foundation Models
by: Ilse, Maximilian, et al.
Published: (2025)

Dates Fruit Disease Recognition using Machine Learning
by: Brahim, Ghassen Ben, et al.
Published: (2023)

A Comparative Study of Machine Learning and Deep Learning for Out-of-Distribution Detection
by: Baek, Jihyeon, et al.
Published: (2026)

Cross-domain and Cross-dimension Learning for Image-to-Graph Transformers
by: Berger, Alexander H., et al.
Published: (2024)

Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents
by: Wang, Hao, et al.
Published: (2024)

Learning Run-time Safety Monitors for Machine Learning Components
by: Vardal, Ozan, et al.
Published: (2024)

A Hybrid Machine Learning Model for Cerebral Palsy Detection
by: Singh, Karan Kumar, et al.
Published: (2026)

Tackling Tuberculosis: A Comparative Dive into Machine Learning for Tuberculosis Detection
by: Hindustani, Daanish, et al.
Published: (2025)

Enhanced Infield Agriculture with Interpretable Machine Learning Approaches for Crop Classification
by: Murindanyi, Sudi, et al.
Published: (2024)

Satellite-Based Detection of Looted Archaeological Sites Using Machine Learning
by: Tadesse, Girmaw Abebe, et al.
Published: (2026)

Tobler's First Law in GeoAI: A Spatially Explicit Deep Learning Model for Terrain Feature Detection Under Weak Supervision
by: Li, Wenwen, et al.
Published: (2025)

Beyond the Visible: Multispectral Vision-Language Learning for Earth Observation
by: Marimo, Clive Tinashe, et al.
Published: (2025)

A Machine Learning-Driven Solution for Denoising Inertial Confinement Fusion Images
by: Akkus, Asya Y., et al.
Published: (2025)

Diffusion Models and Representation Learning: A Survey
by: Fuest, Michael, et al.
Published: (2024)

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model
by: Wu, Zhanglin, et al.
Published: (2025)

Single-to-mix Modality Alignment with Multimodal Large Language Model for Document Image Machine Translation
by: Liang, Yupu, et al.
Published: (2025)

Comparing Learning Paradigms for Egocentric Video Summarization
by: Wen, Daniel
Published: (2025)

DinoLizer: Learning from the Best for Generative Inpainting Localization
by: Doi, Minh Thong, et al.
Published: (2025)