2 citations · 2 across the 2 of their papers we have counts for
5 papers
HY-Embodied-0.5: Embodied Foundation Models for Real-World Agents
Tencent Robotics X, HY Vision Team, : +20
We introduce HY-Embodied-0.5, a family of foundation models specifically designed for real-world embodied agents. To bridge the gap between general Vision-Language Models (VLMs) an…
Nonparametric and Regularized Dynamical Wasserstein Barycenters for Sequential Observations
Kevin C. Cheng, Shuchin Aeron, Michael C. Hughes +1
We consider probabilistic models for sequential observations which exhibit gradual transitions among a finite number of states. We are particularly motivated by applications such a…
Dynamical Wasserstein Barycenters for Time-series Modeling
Kevin C. Cheng, Shuchin Aeron, Michael C. Hughes +1
Many time series can be modeled as a sequence of segments representing high-level discrete states, such as running and walking in a human activity application. Flexible models shou…
On Matched Filtering for Statistical Change Point Detection
Kevin C. Cheng, Eric L. Miller, Michael C. Hughes +1
Non-parametric and distribution-free two-sample tests have been the foundation of many change point detection algorithms. However, randomness in the test statistic as a function of…
Optimal Transport Based Change Point Detection and Time Series Segment Clustering
Kevin C. Cheng, Shuchin Aeron, Michael C. Hughes +2
Two common problems in time series analysis are the decomposition of the data stream into disjoint segments that are each in some sense "homogeneous" - a problem known as Change Po…