Papers Early Action Prediction
“Early Action Prediction” 태그가 달린 논문 8편 · 필터 해제
Unified Pose Sequence Modeling
We propose a Unified Pose Sequence Modeling approach to unify heterogeneous human behavior understanding tasks based on pose data, e.g., action recognition, 3D pose estimation and 3D early action prediction. A major …
3D Pose EstimationAction RecognitionEarly Action PredictionPose EstimationERA: Expert Retrieval and Assembly for Early Action Prediction
Early action prediction aims to successfully predict the class label of an action before it is completely performed. This is a challenging task because the beginning stages of different actions can be very similar, with …
Early Action PredictionPredictionRetrievalThe Wisdom of Crowds: Temporal Progressive Attention for Early Action Prediction
Early action prediction deals with inferring the ongoing action from partially-observed videos, typically at the outset of the video. We propose a bottleneck-based attention model that captures the evolution of the actio…
Early Action PredictionPredictionRich Action-semantic Consistent Knowledge for Early Action Prediction
Early action prediction (EAP) aims to recognize human actions from a part of action execution in ongoing videos, which is an important task for many practical applications. Most prior works treat partial or full videos a…
Early Action PredictionProgressive Teacher-Student Learning for Early Action Prediction
The goal of early action prediction is to recognize actions from partially observed videos with incomplete action executions, which is quite different from action recognition. Predicting early actions is very challenging…
Action RecognitionEarly Action PredictionPredictionTemporal Action LocalizationEarly Action Prediction with Generative Adversarial Networks
Action Prediction is aimed to determine what action is occurring in a video as early as possible, which is crucial to many online applications, such as predicting a traffic accident before it happens and detecting malici…
Early Action PredictionGenerative Adversarial NetworkPredictionEarly action prediction by soft regression
We propose a novel approach for predicting on-going action with the assistance of a low-cost depth camera. Our approach introduces a soft regression-based early prediction framework. In this framework, we estimate soft l…
Early Action PredictionPredictionregressionSkeleton Based Action RecognitionOnline Real-time Multiple Spatiotemporal Action Localisation and Prediction
We present a deep-learning framework for real-time multiple spatio-temporal (S/T) action localisation, classification and early prediction. Current state-of-the-art approaches work offline and are too slow to be useful i…
Early Action PredictionPrediction