4 citations · 13 across the 10 of their papers we have counts for
10 papers
NeuResonance: Exploring Feedback Experiences for Fostering the Inter-brain Synchronization
Jamie Ngoc Dinh, Snehesh Shrestha, You-Jin Kim +2
When several individuals collaborate on a shared task, their brain activities often synchronize. This phenomenon, known as Inter-brain Synchronization (IBS), is notable for inducin…
NatSGLD: A Dataset with Speech, Gesture, Logic, and Demonstration for Robot Learning in Natural Human-Robot Interaction
Snehesh Shrestha, Yantian Zha, Saketh Banagiri +3
Recent advances in multimodal Human-Robot Interaction (HRI) datasets emphasize the integration of speech and gestures, allowing robots to absorb explicit knowledge and tacit unders…
VioPose: Violin Performance 4D Pose Estimation by Hierarchical Audiovisual Inference
Seong Jong Yoo, Snehesh Shrestha, Irina Muresanu +1
Musicians delicately control their bodies to generate music. Sometimes, their motions are too subtle to be captured by the human eye. To analyze how they move to produce the music,…
Choreographing the Digital Canvas: A Machine Learning Approach to Artistic Performance
Siyuan Peng, Kate Ladenheim, Snehesh Shrestha +1
This paper introduces the concept of a design tool for artistic performances based on attribute descriptions. To do so, we used a specific performance of falling actions. The platf…
NatSGD: A Dataset with Speech, Gestures, and Demonstrations for Robot Learning in Natural Human-Robot Interaction
Snehesh Shrestha, Yantian Zha, Saketh Banagiri +3
Recent advancements in multimodal Human-Robot Interaction (HRI) datasets have highlighted the fusion of speech and gesture, expanding robots' capabilities to absorb explicit and im…
Considerations for Minimizing Data Collection Biases for Eliciting Natural Behavior in Human-Robot Interaction
Snehesh Shrestha, Ge Gao, Cornelia Fermuller +1
Many of us researchers take extra measures to control for known-unknowns. However, unknown-unknowns can, at best, be negligible, but otherwise, they could produce unreliable data t…
hDesigner: Real-Time Haptic Feedback Pattern Designer
Snehesh Shrestha, Ishan Tamrakar, Cornelia Fermuller +1
Haptic sensing can provide a new dimension to enhance people's musical and cinematic experiences. However, designing a haptic pattern is neither intuitive nor trivial. Imagined hap…
FEVA: Fast Event Video Annotation Tool
Snehesh Shrestha, William Sentosatio, Huiashu Peng +2
Video Annotation is a crucial process in computer science and social science alike. Many video annotation tools (VATs) offer a wide range of features for making annotation possible…
AIMusicGuru: Music Assisted Human Pose Correction
Snehesh Shrestha, Cornelia Fermüller, Tianyu Huang +4
Pose Estimation techniques rely on visual cues available through observations represented in the form of pixels. But the performance is bounded by the frame rate of the video and s…
Hybrid Backpropagation Parallel Reservoir Networks
Matthew Evanusa, Snehesh Shrestha, Michelle Girvan +2
In many real-world applications, fully-differentiable RNNs such as LSTMs and GRUs have been widely deployed to solve time series learning tasks. These networks train via Backpropag…