A New In-Camera Imaging Model for Color Computer Vision and its Application

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We address the problem of segmenting anomalies and unusual obstacles in road scenes for the purpose of self-driving safety. The objects in question are not present in the common training sets as it is not feasible to collect and annotate examples for every ...

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A New In-Camera Imaging Model for Color Computer Vision and its Application

Chattez avec Graph Search

Computational Imaging SPAD Cameras

Detecting Anomalies and Obstacles in Road Scenes

Seeing Photons in Color

Multi-site, Multi-domain Airway Tree Modeling

SoDaCam: Software-defined Cameras via Single-Photon Imaging

Two-level Data Augmentation for Calibrated Multi-view Detection

Cross-resolution Face Recognition via Identity-Preserving Network and Knowledge Distillation

Self-supervised Dense Representation Learning for Live-Cell Microscopy with Time Arrow Prediction

On the Performance of Subjective Visual Quality Assessment Protocols for Nearly Visually Lossless Image Compression

SAGTTA: SALIENCY GUIDED TEST TIME AUGMENTATION FOR MEDICAL IMAGE SEGMENTATION ACROSS VENDOR DOMAIN SHIFT

Segmenting Without Annotating: Crack Segmentation and Monitoring via Post-Hoc Classifier Explanations