8 citations · 34 across the 23 of their papers we have counts for
18 papers · 1 filter
Physics-Informed Image Restoration via Progressive PDE Integration
Shamika Likhite, Santiago López-Tapia, Aggelos K. Katsaggelos
Motion blur, caused by relative movement between camera and scene during exposure, significantly degrades image quality and impairs downstream computer vision tasks such as object…
Caption-Driven Explainability: Probing CNNs for Bias via CLIP
Patrick Koller, Amil V. Dravid, Guido M. Schuster +1
Robustness has become one of the most critical problems in machine learning (ML). The science of interpreting ML models to understand their behavior and improve their robustness is…
THOR: Thermal-guided Hand-Object Reasoning via Adaptive Vision Sampling
Soroush Shahi, Farzad Shahabi, Rama Nabulsi +3
Wearable cameras are increasingly used as an observational and interventional tool for human behaviors by providing detailed visual data of hand-related activities. This data can b…
Sm: enhanced localization in Multiple Instance Learning for medical imaging classification
Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu +2
Multiple Instance Learning (MIL) is widely used in medical imaging classification to reduce the labeling effort. While only bag labels are available for training, one typically see…
VDPI: Video Deblurring with Pseudo-inverse Modeling
Zhihao Huang, Santiago Lopez-Tapia, Aggelos K. Katsaggelos
Video deblurring is a challenging task that aims to recover sharp sequences from blur and noisy observations. The image-formation model plays a crucial role in traditional model-ba…
Compressive Ptychography using Deep Image and Generative Priors
Semih Barutcu, Doğa Gürsoy, Aggelos K. Katsaggelos
Ptychography is a well-established coherent diffraction imaging technique that enables non-invasive imaging of samples at a nanometer scale. It has been extensively used in various…