RED: Reinforced Encoder-Decoder Networks for Action Anticipation [PDF]
Action anticipation aims to detect an action before it happens. Many real world applications in robotics and surveillance are related to this predictive capability.
Gao, Jiyang +2 more
core +2 more sources
Association between changes in heart rate variability during the anticipation of a stressful situation and the stress-induced cortisol response [PDF]
Vagal activity - reflecting the activation of stress regulatory mechanisms and prefrontal cortex activation - is thought to play an inhibitory role in the regulation of the hypothalamus-pituitary-adrenal axis.
De Raedt, Rudi +2 more
core +2 more sources
Vision-Based Traffic Accident Detection and Anticipation: A Survey [PDF]
Traffic accident detection and anticipation is an obstinate road safety problem and painstaking efforts have been devoted. With the rapid growth of video data, Vision-based Traffic Accident Detection and Anticipation (named Vision-TAD and Vision-TAA ...
Jianwu Fang +3 more
semanticscholar +1 more source
Future Transformer for Long-term Action Anticipation [PDF]
The task of predicting future actions from a video is crucial for a real-world agent interacting with others. When anticipating actions in the distant future, we humans typically consider long-term relations over the whole sequence of actions, i.e., not ...
Dayoung Gong +4 more
semanticscholar +1 more source
Anticipative Feature Fusion Transformer for Multi-Modal Action Anticipation [PDF]
Although human action anticipation is a task which is inherently multi-modal, state-of-the-art methods on well known action anticipation datasets leverage this data by applying ensemble methods and averaging scores of uni-modal anticipation networks.
Zeyun Zhong +4 more
semanticscholar +1 more source
Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning [PDF]
Traffic accident anticipation aims to predict accidents from dashcam videos as early as possible, which is critical to safety-guaranteed self-driving systems.
Wentao Bao, Qi Yu, Yu Kong
semanticscholar +1 more source
Adapting supply chain operations in anticipation of and during the COVID-19 pandemic
This article investigates the impacts of the COVID-19 pandemic and their proactive mediation by adaptive operational decisions in different network design structures in anticipation of and during the pandemic.
Maxim Rozhkov +3 more
semanticscholar +1 more source
Self-Regulated Learning for Egocentric Video Activity Anticipation [PDF]
Future activity anticipation is a challenging problem in egocentric vision. As a standard future activity anticipation paradigm, recursive sequence prediction suffers from the accumulation of errors.
Zhaobo Qi +5 more
semanticscholar +1 more source
A neural signature for the subjective experience of threat anticipation under uncertainty
Uncertainty about potential future threats and the associated anxious anticipation represents a key feature of anxiety. However, the neural systems that underlie the subjective experience of threat anticipation under uncertainty remain unclear. Combining
Xiqin Liu +10 more
semanticscholar +1 more source
DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation [PDF]
Traffic accident anticipation aims to accurately and promptly predict the occurrence of a future accident from dashcam videos, which is vital for a safety-guaranteed self-driving system.
Wentao Bao, Qi Yu, Yu Kong
semanticscholar +1 more source

