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09/20/2023
FreeU: Free Lunch in Diffusion U-Net
In this paper, we uncover the untapped potential of diffusion U-Net, whi...
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06/19/2023
FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation
Existing skeleton-based action recognition methods typically follow a ce...
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08/29/2022
Federated Zero-Shot Learning with Mid-Level Semantic Knowledge Transfer
Conventional centralised deep learning paradigms are not feasible when d...
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03/27/2022
Mugs: A Multi-Granular Self-Supervised Learning Framework
In self-supervised learning, multi-granular features are heavily desired...
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11/22/2021
MetaFormer is Actually What You Need for Vision
Transformers have shown great potential in computer vision tasks. A comm...
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05/25/2021
Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images
Few-shot learning is a challenging task since only few instances are giv...
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07/12/2020
Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition
We consider the problem of semi-supervised 3D action recognition which h...
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06/10/2019
Progressive Cluster Purification for Transductive Few-shot Learning
Few-shot learning aims to learn to generalize a classifier to novel clas...
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02/25/2019
An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
Skeleton-based action recognition is an important task that requires the...
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09/22/2018
Cascade Attention Network for Person Search: Both Image and Text-Image Similarity Selection
Person search with natural language aims to retrieve the corresponding p...
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05/22/2018
Pose-Based Two-Stream Relational Networks for Action Recognition in Videos
Recently, pose-based action recognition has gained more and more attenti...
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05/07/2018