Pre-training on time series poses a unique challenge due to the potential mismatch between
pre-training and target domains, such as shifts in temporal dynamics, fast-evolving trends …

The remote photoplethysmography (rPPG) technique can estimate pulse-related metrics (eg
heart rate and respiratory rate) from facial videos and has a high potential for health …

Improving the generalization ability of Deep Neural Networks (DNNs) is critical for their
practical uses, which has been a longstanding challenge. Some theoretical studies have …

Multi-source domain adaptation has been intensively studied. The distribution shift in
features inherent to specific domains causes the negative transfer problem, degrading a …

An important and unsolved problem in computer vision is to ensure that the algorithms are
robust to changes in image domains. We address this problem in the scenario where we …

Unsupervised domain adaptation remains a critical challenge in enabling the knowledge
transfer of models across unseen domains. Existing methods struggle to balance the need …

Cognitive Science studies show that human perception becomes robust to occlusions and
other nuisances due to internal 3D representations of objects. This idea has been …