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20242026
most citedACTrack: Adding Spatio-Temporal Condition for Visual Object Tracking

1 citations · 1 across the 5 of their papers we have counts for

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cs.CV2026

MaTe: Images Are All You Need for Material Transfer via Diffusion Transformer

Nisha Huang, Henglin Liu, Yizhou Lin +5

Recent diffusion-based methods for material transfer rely on image fine-tuning or complex architectures with assistive networks, but face challenges including text dependency, extr…

cs.CV2026

AdaZoom-GUI: Adaptive Zoom-based GUI Grounding with Instruction Refinement

Siqi Pei, Liang Tang, Tiaonan Duan +9

GUI grounding is a critical capability for vision-language models (VLMs) that enables automated interaction with graphical user interfaces by locating target elements from natural…

cs.CV2025

EffOWT: Transfer Visual Language Models to Open-World Tracking Efficiently and Effectively

Bingyang Wang, Kaer Huang, Bin Li +4

Open-World Tracking (OWT) aims to track every object of any category, which requires the model to have strong generalization capabilities. Trackers can improve their generalization…

cs.CV2025

ArtCrafter: Text-Image Aligning Style Transfer via Embedding Reframing

Nisha Huang, Kaer Huang, Yifan Pu +5

Recent years have witnessed significant advancements in text-guided style transfer, primarily attributed to innovations in diffusion models. These models excel in conditional guida…

cs.CV2024★ 1 cited

ACTrack: Adding Spatio-Temporal Condition for Visual Object Tracking

Yushan Han, Kaer Huang

Efficiently modeling spatio-temporal relations of objects is a key challenge in visual object tracking (VOT). Existing methods track by appearance-based similarity or long-term rel…