Activity Prediction

8 papers with code · Computer Vision

Predict human activities in videos

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Greatest papers with code

Molecular De Novo Design through Deep Reinforcement Learning

25 Apr 2017MarcusOlivecrona/REINVENT

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.

ACTIVITY PREDICTION

SMURFF: a High-Performance Framework for Matrix Factorization

4 Apr 2019ExaScience/smurff

Bayesian Matrix Factorization (BMF) is a powerful technique for recommender systems because it produces good results and is relatively robust against overfitting.

ACTIVITY PREDICTION RECOMMENDATION SYSTEMS

Macau: Scalable Bayesian Multi-relational Factorization with Side Information using MCMC

15 Sep 2015ExaScience/smurff

We propose Macau, a powerful and flexible Bayesian factorization method for heterogeneous data.

ACTIVITY PREDICTION

Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points

CVPR 2018 fabienbaradel/glimpse_clouds

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.

ACTION RECOGNITION IN VIDEOS ACTIVITY PREDICTION HUMAN ACTIVITY RECOGNITION SKELETON BASED ACTION RECOGNITION

INFER: INtermediate representations for FuturE pRediction

26 Mar 2019talsperre/INFER

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).

ACTIVITY PREDICTION AIRPLANE TRAJECTORY PREDICTION FUTURE PREDICTION MULTI-OBJECT TRACKING

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

12 Jun 2019lehgtrung/egfr-att

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

ACTIVITY PREDICTION DRUG DISCOVERY

Ionospheric activity prediction using convolutional recurrent neural networks

31 Oct 2018aboulch/tec_prediction

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

ACTIVITY PREDICTION