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Found 8 papers, 0 papers with code
Human Body Model based ID using Shape and Pose Parameters
We show that when our HMID network is trained using additional shape and pose losses, it shows a significant improvement in biometric identification performance when compared to an identical model that does not use such losses.
Class Prototypes Based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos
We learn a class prototype for each class and a loss function is employed to minimize the distances between a class prototype and the samples from the class.
Towards Understanding Confusion and Affective States Under Communication Failures in Voice-Based Human-Machine Interaction
We present a series of two studies conducted to understand user's affective states during voice-based human-machine interactions.
Learning Invariant World State Representations with Predictive Coding
Herein, we propose a framework for evaluating visual representations for illumination invariance in the context of depth perception.
"How to best say it?" : Translating Directives in Machine Language into Natural Language in the Blocks World
We propose a method to generate optimal natural language for block placement directives generated by a machine's planner during human-agent interactions in the blocks world.
Towards Explainable Student Group Collaboration Assessment Models Using Temporal Representations of Individual Student Roles
Collaboration is identified as a required and necessary skill for students to be successful in the fields of Science, Technology, Engineering and Mathematics (STEM).
A Machine Learning Approach to Assess Student Group Collaboration Using Individual Level Behavioral Cues
K-12 classrooms consistently integrate collaboration as part of their learning experiences.
SMILEE: Symmetric Multi-modal Interactions with Language-gesture Enabled (AI) Embodiment
We demonstrate an intelligent conversational agent system designed for advancing human-machine collaborative tasks.
