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20212024
most citedOn the Connection between Local Attention and Dynamic Depth-wise Convolution

71 citations · 130 across the 12 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023

Prompted Contrast with Masked Motion Modeling: Towards Versatile 3D Action Representation Learning

Jiahang Zhang, Lilang Lin, Jiaying Liu

Self-supervised learning has proved effective for skeleton-based human action understanding, which is an important yet challenging topic. Previous works mainly rely on contrastive…

cs.CV2023

Similarity Min-Max: Zero-Shot Day-Night Domain Adaptation

Rundong Luo, Wenjing Wang, Wenhan Yang +1

Low-light conditions not only hamper human visual experience but also degrade the model's performance on downstream vision tasks. While existing works make remarkable progress on d…

cs.CV2023★ 19 cited

Swap Attention in Spatiotemporal Diffusions for Text-to-Video Generation

Wenjing Wang, Huan Yang, Zixi Tuo +4

With the explosive popularity of AI-generated content (AIGC), video generation has recently received a lot of attention. Generating videos guided by text instructions poses signifi…

cs.CV2023★ 5 cited

Actionlet-Dependent Contrastive Learning for Unsupervised Skeleton-Based Action Recognition

Lilang Lin, Jiahang Zhang, Jiaying Liu

The self-supervised pretraining paradigm has achieved great success in skeleton-based action recognition. However, these methods treat the motion and static parts equally, and lack…

cs.CV2023★ 17 cited

Unified Multi-Modal Latent Diffusion for Joint Subject and Text Conditional Image Generation

Yiyang Ma, Huan Yang, Wenjing Wang +2

Language-guided image generation has achieved great success nowadays by using diffusion models. However, texts can be less detailed to describe highly-specific subjects such as a p…