The ability to predict, anticipate and reason about future outcomes is a key component of
intelligent decision-making systems. In light of the success of deep learning in computer …

Predicting and anticipating future outcomes or reasoning about missing information in a
sequence are critical skills for agents to be able to make intelligent decisions. This requires …

Spatiotemporal predictive learning, though long considered to be a promising self-
supervised feature learning method, seldom shows its effectiveness beyond future video …

Streaming video recognition reasons about objects and their actions in every frame of a
video. A good streaming recognition model captures both long-term dynamics and short …

In this paper, we tackle the problem of egocentric action anticipation, ie, predicting what
actions the camera wearer will perform in the near future and which objects they will interact …

Egocentric action anticipation consists in understanding which objects the camera wearer
will interact with in the near future and which actions they will perform. We tackle the …

Many believe that the successes of deep learning on image understanding problems can be
replicated in the realm of video understanding. However, due to the scale and temporal …

Analyzing human actions in videos has gained increased attention recently. While most
works focus on classifying and labeling observed video frames or anticipating the very …

Modeling and prediction of human motion dynamics has long been a challenging problem in
computer vision, and most existing methods rely on the end-to-end supervised training of …

We propose a framework for early action recognition and anticipation by correlating past
features with the future using three novel similarity measures called Jaccard vector similarity …