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Found 9 papers, 2 papers with code
QPM: Discrete Optimization for Globally Interpretable Image Classification
QPM represents every class with a binary assignment of very few, typically 5, features, that are also assigned to other classes, ensuring easily comparable contrastive class representations.
A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning
Concerns about the environmental footprint of machine learning are increasing.
QA-TOOLBOX: Conversational Question-Answering for process task guidance in manufacturing
In this work we explore utilizing LLMs for data augmentation for manufacturing task guidance system.
Unsupervised Welding Defect Detection Using Audio And Video
Robotic welding is a widely used technology in many industries, but robots currently do not have the capability to detect welding defects which get introduced due to various reasons in the welding process.
Human in the loop approaches in multi-modal conversational task guidance system development
Development of task guidance systems for aiding humans in a situated task remains a challenging problem.
Distill and Collect for Semi-Supervised Temporal Action Segmentation
Recent temporal action segmentation approaches need frame annotations during training to be effective.
Hierarchical Graph-RNNs for Action Detection of Multiple Activities
In this paper, we propose an approach that spatially localizes the activities in a video frame where each person can perform multiple activities at the same time.
Discovering Multi-Label Actor-Action Association in a Weakly Supervised Setting
Since computing, the probabilities for the full power set becomes intractable as the number of action classes increases, we assign an action set to each detected person under the constraint that the assignment is consistent with the annotation of the video clip.
Structural Recurrent Neural Network (SRNN) for Group Activity Analysis
In this paper, we propose a structural recurrent neural network (SRNN) that uses a series of interconnected RNNs to jointly capture the actions of individuals, their interactions, as well as the group activity.
