Activity Prediction
24 papers with code • 1 benchmarks • 2 datasets
Predict human activities in videos
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InfiniteRep
Latest papers
Learning to Abstract and Predict Human Actions
RomeroBarata/hierarchical_action_prediction
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We propose Hierarchical Encoder-Refresher-Anticipator, a multi-level neural machine that can learn the structure of human activities by observing a partial hierarchy of events and roll-out such structure into a future prediction in multiple levels of abstraction.
Prescriptive Business Process Monitoring for Recommending Next Best Actions
We present a PrBPM technique that transforms the next most likely activities into the next best actions regarding a given KPI.
XNAP: Making LSTM-based Next Activity Predictions Explainable by Using LRP
PBPM techniques aim to improve process performance by providing predictions to process analysts, supporting them in their decision making.
Group Activity Prediction with Sequential Relational Anticipation Model
junwenchen/GAP_SRAM
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ECCV 2020
Our model explicitly anticipates both activity features and positions by two graph auto-encoders, aiming to learn a discriminative group representation for group activity prediction.
Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning
The derived uncertainty-based ranking loss is found to significantly boost model performance by improving the quality of relational features.
Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health Classification
Visualizing graph embeddings annotated with predictions of potentially suicidal individuals shows the integrated model could classify such individuals even if they are positioned far from the support group.
Attention-based Multi-Input Deep Learning Architecture for Biological Activity Prediction: An Application in EGFR Inhibitors
These data were trained on a deep learning model which was also integrated with the Attention mechanism to facilitate training and interpreting.
INFER: INtermediate representations for FuturE pRediction
talsperre/INFER
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Uncharacteristic of state-of-the-art approaches, our representations and models generalize to completely different datasets, collected across several cities, and also across countries where people drive on opposite sides of the road (left-handed vs right-handed driving).
Peeking into the Future: Predicting Future Person Activities and Locations in Videos
google/next-prediction
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CVPR 2019
To facilitate the training, the network is learned with an auxiliary task of predicting future location in which the activity will happen.
Data-driven Perception of Neuron Point Process with Unknown Unknowns
Previous research of neuron activity analysis is mainly limited with effects from the spiking history of target neuron and the interaction with other neurons in the system while ignoring the influence of unknown stimuli.
