We develop a robust Bayesian functional principal component analysis (FP...
Generating a long-distance quantum entanglement is one of the most essen...
Multidimensional scaling is widely used to reconstruct a map with the po...
We extend the celebrated sliced inverse regression to address the challe...
Intelligent Traffic Monitoring (ITMo) technologies hold the potential fo...
Visual Question Answering is a challenging task, as it requires seamless...
Communication via natural language is a crucial aspect of intelligence, ...
We propose a robust method for learning neural implicit functions that c...
Recent advances in modeling 3D objects mostly rely on synthetic datasets...
Understanding novel situations in the traffic domain requires an intrica...
Quantum networks are considered as a promising future platform for quant...
Self-supervision based on the information extracted from large knowledge...
Facial action units (AUs) play an indispensable role in human emotion
an...
Poetry is one of the most important art forms of human languages. Recent...
We propose to tackle the problem of multiview 2D/3D rigid registration f...