activity
20172025
most citedGLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval

425 citations · 826 across the 41 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.CV2021★ 1 cited

Revisiting Catastrophic Forgetting in Class Incremental Learning

Zixuan Ni, Haizhou Shi, Siliang Tang +3

Although the concept of catastrophic forgetting is straightforward, there is a lack of study on its causes. In this paper, we systematically explore and reveal three causes for cat…

cs.CV2021★ 45 cited

Rectifying the Shortcut Learning of Background for Few-Shot Learning

Xu Luo, Longhui Wei, Liangjian Wen +4

The category gap between training and evaluation has been characterised as one of the main obstacles to the success of Few-Shot Learning (FSL). In this paper, we for the first time…

cs.CV2021

Exploring the Diversity and Invariance in Yourself for Visual Pre-Training Task

Longhui Wei, Lingxi Xie, Wengang Zhou +2

Recently, self-supervised learning methods have achieved remarkable success in visual pre-training task. By simply pulling the different augmented views of each image together or o…

cs.CV2021★ 6 cited

What Is Considered Complete for Visual Recognition?

Lingxi Xie, Xiaopeng Zhang, Longhui Wei +2

This is an opinion paper. We hope to deliver a key message that current visual recognition systems are far from complete, i.e., recognizing everything that human can recognize, yet…

cs.CV2021

Visformer: The Vision-friendly Transformer

Zhengsu Chen, Lingxi Xie, Jianwei Niu +3

The past year has witnessed the rapid development of applying the Transformer module to vision problems. While some researchers have demonstrated that Transformer-based models enjo…

cs.CV2021★ 30 cited

Spatiotemporal Transformer for Video-based Person Re-identification

Tianyu Zhang, Longhui Wei, Lingxi Xie +4

Recently, the Transformer module has been transplanted from natural language processing to computer vision. This paper applies the Transformer to video-based person re-identificati…