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Found 9 papers, 2 papers with code
Time Perception Machine: Temporal Point Processes for the When, Where and What of Activity Prediction
Numerous powerful point process models have been developed to understand temporal patterns in sequential data from fields such as health-care, electronic commerce, social networks, and natural disaster forecasting.
Structured Label Inference for Visual Understanding
In this paper, we exploit this rich structure for performing graph-based inference in label space for a number of tasks: multi-label image and video classification and action detection in untrimmed videos.
LabelBank: Revisiting Global Perspectives for Semantic Segmentation
We advocate that holistic inference of image concepts provides valuable information for detailed pixel labeling.
Recalling Holistic Information for Semantic Segmentation
We advocate that high-recall holistic inference of image concepts provides valuable information for detailed pixel labeling.
Learning Structured Inference Neural Networks with Label Relations
Images of scenes have various objects as well as abundant attributes, and diverse levels of visual categorization are possible.
Discovering Human Interactions in Videos with Limited Data Labeling
We present a novel approach for discovering human interactions in videos.
Hierarchical Maximum-Margin Clustering
We present a hierarchical maximum-margin clustering method for unsupervised data analysis.
Latent Maximum Margin Clustering
We present a maximum margin framework that clusters data using latent variables.
Learning Class-to-Image Distance with Object Matchings
We conduct image classification by learning a class-toimage distance function that matches objects.
