Radar is ubiquitous in autonomous driving systems due to its low cost and good adaptability to bad weather.

In particular, we establish the surprising result that: F or any constant learning rate η > 0, the stochastic gradient bandit algorithm is guaranteed to converge to the globally optimal policy almost surely.

Why apply AI to figure skating? Skaters can always keep pushing, higher, faster, stronger. OOFSkate is all about helping skaters figure out a way to rotate a little bit faster in their jumps or jump a little bit higher. The system helps skaters catch things that perhaps could pass an eye test, but that might allow them to target some high-value areas of opportunity. The artistic side of skating is much harder to evaluate than the technical elements because it's subjective.

In this paper, we introduce a novel one-step drag-based image editing method, i.e., FastDrag, to accelerate the editing process.

Large-scale pre-training has shown great potential to enhance models on downstream tasks in vision and language. Developing similar techniques for scalp electroencephalogram (EEG) is suitable since unlabelled data is plentiful.

Realistic 3D human reconstruction is a fundamental task in computer vision with widespread applications in numerous fields, including social media, gaming, e-commerce, telepresence, etc.