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Found 5 papers, 4 papers with code
Learning State-Aware Visual Representations from Audible Interactions
However, learning representations from videos can be challenging.
Ranked #1 on
Long Term Action Anticipation
on Ego4D
(ED@20 Noun metric)
Self-Supervised Point Cloud Completion via Inpainting
The aim of this work is to learn to complete these partial point clouds, giving us a full understanding of the object's geometry using only partial observations.
Interpreting Context of Images using Scene Graphs
The context can be conducive to comprehending an image since it will help us to perceive the relation between the objects and thus, give us a deeper insight into the image.
Just Go with the Flow: Self-Supervised Scene Flow Estimation
When interacting with highly dynamic environments, scene flow allows autonomous systems to reason about the non-rigid motion of multiple independent objects.
STWalk: Learning Trajectory Representations in Temporal Graphs
In this paper, we present a novel approach, STWalk, for learning trajectory representations of nodes in temporal graphs.
