Activity Prediction

17 papers with code • 1 benchmarks • 2 datasets

Predict human activities in videos

Most implemented papers

Molecular De Novo Design through Deep Reinforcement Learning

MarcusOlivecrona/REINVENT 25 Apr 2017

This work introduces a method to tune a sequence-based generative model for molecular de novo design that through augmented episodic likelihood can learn to generate structures with certain specified desirable properties.

Peeking into the Future: Predicting Future Person Activities and Locations in Videos

google/next-prediction CVPR 2019

To facilitate the training, the network is learned with an auxiliary task of predicting future location in which the activity will happen.

Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning

Cogito2012/UString 1 Aug 2020

The derived uncertainty-based ranking loss is found to significantly boost model performance by improving the quality of relational features.

DeepProcess: Supporting business process execution using a MANN-based recommender system

asjad99/datascience-GYM 3 Feb 2018

Process-aware Recommender systems can provide critical decision support functionality to aid business process execution by recommending what actions to take next.

Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points

fabienbaradel/glimpse_clouds CVPR 2018

No spatial coherence is forced on the glimpse locations, which gives the module liberty to explore different points at each frame and better optimize the process of scrutinizing visual information.

Ionospheric activity prediction using convolutional recurrent neural networks

aboulch/tec_prediction 31 Oct 2018

The ionosphere electromagnetic activity is a major factor of the quality of satellite telecommunications, Global Navigation Satellite Systems (GNSS) and other vital space applications.

Data-driven Perception of Neuron Point Process with Unknown Unknowns

gaurav71531/spikeNetwork 2 Nov 2018

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.

INFER: INtermediate representations for FuturE pRediction

talsperre/INFER 26 Mar 2019

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).

Attention-based Multi-Input Deep Learning Architecture for Biological Activity Prediction: An Application in EGFR Inhibitors

lehgtrung/egfr-att 12 Jun 2019

These data were trained on a deep learning model which was also integrated with the Attention mechanism to facilitate training and interpreting.

Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health Classification

AlexMRuch/Can-x2vec-Save-Lives 4 Jan 2020

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.