The rapid evolution of deep learning and computer vision has revolutionized industries ranging from healthcare to autonomous systems. Following the success of the inaugural DLCV 2024(Past Name: CVDL, ...

Abstract: Learning multiobject dynamics purely from visual data is challenging due to the need for robust object representations that can be learned through robot interactions. In previous work ...

Employees put a resident at a state institution for people with developmental disabilities in “immediate jeopardy” by leaving him unsupervised, enabling him to walk away from his residence ...

Abstract art and machine learning have both confounded the desire to read art as a human-made symbol or expression. Michelle Kuo JK: The viscerality of reactions to Unsupervised emphasizes how art is ...

In response to the outbreak of COVID-19 in 2020, when over half of the world’s population was in lockdown and people were encouraged to use the time to self-study and learn new skills, we’ve ...

Here, we use a visual learning paradigm to show that training humans to search for common visual features in the environment leads to a persistent improvement in performance over consecutive days but, ...