Evaluating lesion progression and treatment response via longitudinal tracking plays a critical role in clinical practice. Automated approaches for this task are motivated by prohibitive labor costs time consumption when matching is done manually. Previous methods typically lack the integration of local global information. In work, we propose transformer-based approach, termed Transformer Lesio...

In this paper, a robust visual tracking method is proposed to track an object in dynamic conditions that include motion blur, illumination changes, pose variations, and occlusions. To cope with these challenges, multiple trackers with different feature descriptors are utilized, and each of which shows different level of robustness to certain changes in an object’s appearance. To fuse these inde...

The Multi-feature Beat tracker Essentia implementation uses five different onset detection functions to estimate the beats of a musical audio signal using only one beat tracker algorithm, where the beat tracker output is selected using a committee technique. This is a C++ implementation of the algorithm ZDG1 (five onset detection function), submitted to MIREX 2012 audio beat tracking task.