We present an innovative approach to 3D Human Pose Estimation (3D-HPE) b...
Motion forecasting plays a critical role in enabling robots to anticipat...
Particle-based deep generative models, such as gradient flows and score-...
Nowadays, deep vision models are being widely deployed in safety-critica...
As deep learning models are increasingly used in safety-critical
applica...
Learning-based trajectory prediction models have encountered great succe...
Theoretical analyses for Generative Adversarial Networks (GANs) generall...
Designing video prediction models that account for the inherent uncertai...
Object segmentation is a crucial problem that is usually solved by using...
The development of high-dimensional generative models has recently gaine...