publié le: 2023
In this paper, we present a strategy for training convolutional neural networks to effectively resolve interference arising from competing hypotheses...
Accurate real depth annotations are difficult to acquire, needing the use of special devices such as a LiDAR sensor. Self-supervised methods try to ov...
Relating behavior to brain activity in animals is a fundamental goal in neuroscience, with practical applications in building robust brain-machine int...
Video analysis has been moving towards more detailed interpretation (e.g., segmentation) with encouraging progress. These tasks, however, increasingly...
This paper studies a shuffled linear regression problem. As a variant of ordinary linear regression, it requires estimating not only the regression va...
