Long Term Anticipation
5 papers with code • 1 benchmarks • 1 datasets
Most implemented papers
Long-Term Anticipation of Activities with Cycle Consistency
With the success of deep learning methods in analyzing activities in videos, more attention has recently been focused towards anticipating future activities.
Future Transformer for Long-term Action Anticipation
The task of predicting future actions from a video is crucial for a real-world agent interacting with others.
HierVL: Learning Hierarchical Video-Language Embeddings
Video-language embeddings are a promising avenue for injecting semantics into visual representations, but existing methods capture only short-term associations between seconds-long video clips and their accompanying text.
Towards Scene Graph Anticipation
In SceneSayer, we leverage object-centric representations of relationships to reason about the observed video frames and model the evolution of relationships between objects.
EgoExoLearn: A Dataset for Bridging Asynchronous Ego- and Exo-centric View of Procedural Activities in Real World
Along with the videos we record high-quality gaze data and provide detailed multimodal annotations, formulating a playground for modeling the human ability to bridge asynchronous procedural actions from different viewpoints.