3 papers
eess.IV2024
FusionINN: Decomposable Image Fusion for Brain Tumor Monitoring
Nishant Kumar, Ziyan Tao, Jaikirat Singh +4
Image fusion typically employs non-invertible neural networks to merge multiple source images into a single fused image. However, for clinical experts, solely relying on fused imag…
cs.LG2024
Towards Computational Performance Engineering for Unsupervised Concept Drift Detection -- Complexities, Benchmarking, Performance Analysis
Elias Werner, Nishant Kumar, Matthias Lieber +3
Concept drift detection is crucial for many AI systems to ensure the system's reliability. These systems often have to deal with large amounts of data or react in real-time. Thus,…
cs.CV2024
Quantile-based Maximum Likelihood Training for Outlier Detection
Masoud Taghikhah, Nishant Kumar, SiniÅ¡a Å egviÄ +2
Discriminative learning effectively predicts true object class for image classification. However, it often results in false positives for outliers, posing critical concerns in appl…