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Found 4 papers, 2 papers with code
Towards Faster Graph Partitioning via Pre-training and Inductive Inference
Graph partitioning (GP) is a classic problem that divides the node set of a graph into densely-connected blocks.
Fine-grained Identity Preserving Landmark Synthesis for Face Reenactment
Recent face reenactment works are limited by the coarse reference landmarks, leading to unsatisfactory identity preserving performance due to the distribution gap between the manipulated landmarks and those sampled from a real person.
Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification
The goal of few-shot fine-grained image classification is to recognize rarely seen fine-grained objects in the query set, given only a few samples of this class in the support set.
Very Long Term Field of View Prediction for 360-degree Video Streaming
In this work, we treat the FoV prediction as a sequence learning problem, and propose to predict the target user's future FoV not only based on the user's own past FoV center trajectory but also other users' future FoV locations.
