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Found 5 papers, 2 papers with code
NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-wise Modeling
This design shares computation within each group, in the spatial and temporal dimensions, resulting in reduced encoding time of the video.
Revisiting Neighborhood-based Link Prediction for Collaborative Filtering
While there is a rich literature of such works using advanced models for learning user and item representations separately, item recommendation is essentially a link prediction problem between users and items.
A Dataset for Developing and Benchmarking Active Vision
We present a new public dataset with a focus on simulating robotic vision tasks in everyday indoor environments using real imagery.
Fast Single Shot Detection and Pose Estimation
For applications in navigation and robotics, estimating the 3D pose of objects is as important as detection.
Modeling Context in Referring Expressions
Humans refer to objects in their environments all the time, especially in dialogue with other people.
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