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Found 6 papers, 1 papers with code
Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data
Notably, we observe that our context enhancement can yield up to 23. 8% improvement in performance.
Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation
Diffusion generative modeling has become a promising approach for learning robotic manipulation tasks from stochastic human demonstrations.
XWalk: Random Walk Based Candidate Retrieval for Product Search
In e-commerce, head queries account for the vast majority of gross merchandise sales and improvements to head queries are highly impactful to the business.
HIINT: Historical, Intra- and Inter- personal Dynamics Modeling with Cross-person Memory Transformer
Accurately modeling affect dynamics, which refers to the changes and fluctuations in emotions and affective displays during human conversations, is crucial for understanding human interactions.
Multipar-T: Multiparty-Transformer for Capturing Contingent Behaviors in Group Conversations
As we move closer to real-world AI systems, AI agents must be able to deal with multiparty (group) conversations.
Joint Engagement Classification using Video Augmentation Techniques for Multi-person Human-robot Interaction
This work serves as the first step toward fully unlocking the potential of end-to-end video understanding models pre-trained on large public datasets and augmented with data augmentation and visualization techniques for affect recognition in the multi-person human-robot interaction in the wild.
