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20212023
most citedMST: Masked Self-Supervised Transformer for Visual Representation

29 citations · 31 across the 4 of their papers we have counts for

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5 papers · 1 filter

cs.CV2023

Differentiable Resolution Compression and Alignment for Efficient Video Classification and Retrieval

Rui Deng, Qian Wu, Yuke Li +1

Optimizing video inference efficiency has become increasingly important with the growing demand for video analysis in various fields. Some existing methods achieve high efficiency…

cs.CV20221 cited

3D-CSL: self-supervised 3D context similarity learning for Near-Duplicate Video Retrieval

Rui Deng, Qian Wu, Yuke Li

In this paper, we introduce 3D-CSL, a compact pipeline for Near-Duplicate Video Retrieval (NDVR), and explore a novel self-supervised learning strategy for video similarity learnin…

cs.CV20211 cited

Paint Transformer: Feed Forward Neural Painting with Stroke Prediction

Songhua Liu, Tianwei Lin, Dongliang He +5

Neural painting refers to the procedure of producing a series of strokes for a given image and non-photo-realistically recreating it using neural networks. While reinforcement lear…

cs.CV202129 cited

MST: Masked Self-Supervised Transformer for Visual Representation

Zhaowen Li, Zhiyang Chen, Fan Yang +8

Transformer has been widely used for self-supervised pre-training in Natural Language Processing (NLP) and achieved great success. However, it has not been fully explored in visual…

cs.CV2021

NTIRE 2021 Depth Guided Image Relighting Challenge

Majed El Helou, Ruofan Zhou, Sabine Susstrunk +1

Image relighting is attracting increasing interest due to its various applications. From a research perspective, image relighting can be exploited to conduct both image normalizati…