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12/02/2022
Activating the Discriminability of Novel Classes for Few-shot Segmentation
Despite the remarkable success of existing methods for few-shot segmenta...
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05/19/2022
Improving Micro-video Recommendation via Contrastive Multiple Interests
With the rapid increase of micro-video creators and viewers, how to make...
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02/24/2022
Fully Self-Supervised Learning for Semantic Segmentation
In this work, we present a fully self-supervised framework for semantic ...
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11/19/2021
Graph Neural Networks with Feature and Structure Aware Random Walk
Graph Neural Networks (GNNs) have received increasing attention for repr...
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08/27/2021
Learning Inner-Group Relations on Point Clouds
The prevalence of relation networks in computer vision is in stark contr...
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06/27/2021
A Behavior-aware Graph Convolution Network Model for Video Recommendation
Interactions between users and videos are the major data source of perfo...
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06/23/2021
Bootstrap Representation Learning for Segmentation on Medical Volumes and Sequences
In this work, we propose a novel straightforward method for medical volu...
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06/07/2021
Self-Supervised Graph Learning with Proximity-based Views and Channel Contrast
We consider graph representation learning in a self-supervised manner. G...
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03/10/2021
Improving Sequential Recommendation with Attribute-augmented Graph Neural Networks
Many practical recommender systems provide item recommendation for diffe...
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08/06/2019
