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20222026
most citedData-free Multi-label Image Recognition via LLM-powered Prompt Tuning

4 citations · 4 across the 8 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

Selective Knowledge Control for Continual GUI Agent Learning over Application Streams

Zirui Shang, Xin Shu, Yang Liu +3

Continual learning is a crucial capability for Graphical User Interface (GUI) agents to adapt to evolving applications while retaining knowledge acquired from previous applications…

cs.CV2025

LLM-powered Query Expansion for Enhancing Boundary Prediction in Language-driven Action Localization

Zirui Shang, Xinxiao Wu, Shuo Yang

Language-driven action localization in videos requires not only semantic alignment between language query and video segment, but also prediction of action boundaries. However, the…

cs.CV2025

TongUI: Internet-Scale Trajectories from Multimodal Web Tutorials for Generalized GUI Agents

Bofei Zhang, Zirui Shang, Zhi Gao +7

Building Graphical User Interface (GUI) agents is a promising research direction, which simulates human interaction with computers or mobile phones to perform diverse GUI tasks. Ho…

cs.CV2024

Video Summarization using Denoising Diffusion Probabilistic Model

Zirui Shang, Yubo Zhu, Hongxi Li +2

Video summarization aims to eliminate visual redundancy while retaining key parts of video to construct concise and comprehensive synopses. Most existing methods use discriminative…

cs.CV2024★ 4 cited

Data-free Multi-label Image Recognition via LLM-powered Prompt Tuning

Shuo Yang, Zirui Shang, Yongqi Wang +4

This paper proposes a novel framework for multi-label image recognition without any training data, called data-free framework, which uses knowledge of pre-trained Large Language Mo…

cs.CV2022

Bootstrap Generalization Ability from Loss Landscape Perspective

Huanran Chen, Shitong Shao, Ziyi Wang +4

Domain generalization aims to learn a model that can generalize well on the unseen test dataset, i.e., out-of-distribution data, which has different distribution from the training…