no code implementations • 26 Mar 2024 • Siyuan Peng, Kate Ladenheim, Snehesh Shrestha, Cornelia Fermüller
The platform integrates a novel machine-learning (ML) model with an interactive interface to generate and visualize artistic movements.
no code implementations • 4 Mar 2024 • Snehesh Shrestha, Yantian Zha, Saketh Banagiri, Ge Gao, Yiannis Aloimonos, Cornelia Fermuller
NatSGD serves as a foundational resource at the intersection of machine learning and HRI research, and we demonstrate its effectiveness in training robots to understand tasks through multimodal human commands, emphasizing the significance of jointly considering speech and gestures.
no code implementations • 24 Mar 2022 • Snehesh Shrestha, Cornelia Fermüller, Tianyu Huang, Pyone Thant Win, Adam Zukerman, Chethan M. Parameshwara, Yiannis Aloimonos
Pose Estimation techniques rely on visual cues available through observations represented in the form of pixels.
no code implementations • 27 Oct 2020 • Matthew Evanusa, Snehesh Shrestha, Michelle Girvan, Cornelia Fermüller, Yiannis Aloimonos
In many real-world applications, fully-differentiable RNNs such as LSTMs and GRUs have been widely deployed to solve time series learning tasks.