Activity Prediction Edit Task
Computer Vision • Activity Recognition In Videos
About
Predict human activities in videos
Benchmarks
| TREND | DATASET | BEST METHOD | PAPER TITLE | PAPER | CODE | COMPARE |
|---|---|---|---|---|---|---|
|
Subtasks
Greatest papers with code
Peeking into the Future: Predicting Future Person Activities and Locations in Videos
CVPR 2019
• google/next-prediction
• 
To facilitate the training, the network is learned with an auxiliary task of predicting future location in which the activity will happen.
Ranked #1 on
Trajectory Forecasting
on ActEV
ACTIVITY PREDICTION FUTURE PREDICTION HUMAN MOTION PREDICTION MOTION FORECASTING MULTI-TASK LEARNING TRAJECTORY FORECASTING
Molecular De Novo Design through Deep Reinforcement Learning
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.
SMURFF: a High-Performance Framework for Matrix Factorization
Bayesian Matrix Factorization (BMF) is a powerful technique for recommender systems because it produces good results and is relatively robust against overfitting.
Macau: Scalable Bayesian Multi-relational Factorization with Side Information using MCMC
We propose Macau, a powerful and flexible Bayesian factorization method for heterogeneous data.
INFER: INtermediate representations for FuturE pRediction
• talsperre/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 FUTURE PREDICTION MULTI-OBJECT TRACKING TRAJECTORY 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.
Ranked #6 on
Skeleton Based Action Recognition
on N-UCLA
ACTION RECOGNITION ACTIVITY PREDICTION SKELETON BASED ACTION RECOGNITION
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.
ACCIDENT ANTICIPATION ACTIVITY PREDICTION FUTURE PREDICTION RELATIONAL REASONING TIME-TO-EVENT PREDICTION VIDEO UNDERSTANDING
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.
Ranked #1 on
Drug Discovery
on egfr-inh
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.
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.
ACTION CLASSIFICATION ACTIVITY PREDICTION DOCUMENT EMBEDDING FEATURE ENGINEERING GRAPH EMBEDDING