activity
20222024
most citedAugmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation

8 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

math.NA2024

Critical grid method: An extensible Smoothed Particle Hydrodynamics fluid general interpolation method for Fluid-Structure Interaction surface coupling based on preCICE

Sifan Long, Xiaowei Guo, Xiaokang Fan +1

Solving Fluid-Structure Interaction (FSI) problems using traditional methods is a big challenge in the field of numerical simulation. As a powerful multi-physical field coupled lib…

cs.CV2023★ 1 cited

Task-Oriented Multi-Modal Mutual Leaning for Vision-Language Models

Sifan Long, Zhen Zhao, Junkun Yuan +5

Prompt learning has become one of the most efficient paradigms for adapting large pre-trained vision-language models to downstream tasks. Current state-of-the-art methods, like CoO…

cs.CV2022★ 8 cited

Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation

Zhen Zhao, Lihe Yang, Sifan Long +3

Recent studies on semi-supervised semantic segmentation (SSS) have seen fast progress. Despite their promising performance, current state-of-the-art methods tend to increasingly co…

cs.CV2022★ 3 cited

Instance-specific and Model-adaptive Supervision for Semi-supervised Semantic Segmentation

Zhen Zhao, Sifan Long, Jimin Pi +2

Recently, semi-supervised semantic segmentation has achieved promising performance with a small fraction of labeled data. However, most existing studies treat all unlabeled data eq…

cs.CV2022

Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers

Sifan Long, Zhen Zhao, Jimin Pi +2

Vision transformers have achieved significant improvements on various vision tasks but their quadratic interactions between tokens significantly reduce computational efficiency. Ma…