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Structured Universal Adversarial Attacks on Object Detection for Video Sequences
Sven Jacob, Weijia Shao, Gjergji Kasneci
Video-based object detection plays a vital role in safety-critical applications. While deep learning-based object detectors have achieved impressive performance, they remain vulner…
BoxShrink: From Bounding Boxes to Segmentation Masks
Michael Gröger, Vadim Borisov, Gjergji Kasneci
One of the core challenges facing the medical image computing community is fast and efficient data sample labeling. Obtaining fine-grained labels for segmentation is particularly d…
A Consistent and Efficient Evaluation Strategy for Attribution Methods
Yao Rong, Tobias Leemann, Vadim Borisov +2
With a variety of local feature attribution methods being proposed in recent years, follow-up work suggested several evaluation strategies. To assess the attribution quality across…
PupilNet v2.0: Convolutional Neural Networks for CPU based real time Robust Pupil Detection
Wolfgang Fuhl, Thiago Santini, Gjergji Kasneci +2
Real-time, accurate, and robust pupil detection is an essential prerequisite for pervasive video-based eye-tracking. However, automated pupil detection in realworld scenarios has p…
PupilNet: Convolutional Neural Networks for Robust Pupil Detection
Wolfgang Fuhl, Thiago Santini, Gjergji Kasneci +1
Real-time, accurate, and robust pupil detection is an essential prerequisite for pervasive video-based eye-tracking. However, automated pupil detection in real-world scenarios has…