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09/20/2023
Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image Segmentation
Few-shot Medical Image Segmentation (FSMIS) is a more promising solution...
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09/09/2023
Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical Transformer
Automated segmentation of large volumes of medical images is often plagu...
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11/19/2022
Mutual Balancing in State-Object Components for Compositional Zero-Shot Learning
Compositional Zero-Shot Learning (CZSL) aims to recognize unseen composi...
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08/19/2022
Part-aware Prototypical Graph Network for One-shot Skeleton-based Action Recognition
In this paper, we study the problem of one-shot skeleton-based action re...
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12/23/2021
Boosting Generative Zero-Shot Learning by Synthesizing Diverse Features with Attribute Augmentation
The recent advance in deep generative models outlines a promising perspe...
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11/05/2021
ActFloor-GAN: Activity-Guided Adversarial Networks for Human-Centric Floorplan Design
We present a novel two-stage approach for automated floorplan design in ...
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11/01/2021
LSTA-Net: Long short-term Spatio-Temporal Aggregation Network for Skeleton-based Action Recognition
Modelling various spatio-temporal dependencies is the key to recognising...
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08/10/2021
Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition
The task of skeleton-based action recognition remains a core challenge i...
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11/11/2020
Invariant Deep Compressible Covariance Pooling for Aerial Scene Categorization
Learning discriminative and invariant feature representation is the key ...
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08/09/2020