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Found 8 papers, 0 papers with code
Annotating Interruption in Dyadic Human Interaction
Integrating the existing interruption and turn switch classification methods, we propose a new annotation schema to annotate different types of interruptions through timeliness, switch accomplishment and speech content level.
AMII: Adaptive Multimodal Inter-personal and Intra-personal Model for Adapted Behavior Synthesis
We propose AMII, a novel approach to synthesize adaptive facial gestures for SIAs while interacting with Users and acting interchangeably as a speaker or as a listener.
RoCNet: 3D Robust Registration of Point-Clouds using Deep Learning
This paper introduces a new method for 3D point cloud registration based on deep learning.
SALAD: Self-Assessment Learning for Action Detection
Literature on self-assessment in machine learning mainly focuses on the production of well-calibrated algorithms through consensus frameworks i. e. calibration is seen as a problem.
ActionSpotter: Deep Reinforcement Learning Framework for Temporal Action Spotting in Videos
In this work, we propose to directly compute this ordered list by sparsely browsing the video and selecting one frame per action instance, task known as action spotting in literature.
Explaining Regression Based Neural Network Model
Several methods have been proposed to explain Deep Neural Network (DNN).
Fine-tuning Siamese Networks to Assess Sport Gestures Quality
Indeed, their purpose is not to regress scores but to predict a value that respects true scores order so that it can be used to rank actions according to their quality.
Single-shot 3D multi-person pose estimation in complex images
In this paper, we propose a new single shot method for multi-person 3D human pose estimation in complex images.
3D Multi-Person Human Pose Estimation
3D Multi-Person Pose Estimation
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