most citedExploring Dynamic Transformer for Efficient Object Tracking

17 citations · 26 across the 10 of their papers we have counts for

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cs.CV2024

GLDesigner: Leveraging Multi-Modal LLMs as Designer for Enhanced Aesthetic Text Glyph Layouts

Junwen He, Yifan Wang, Lijun Wang +7

Text logo design heavily relies on the creativity and expertise of professional designers, in which arranging element layouts is one of the most important procedures. However, this…

cs.CV2024

Multi-modal Instruction Tuned LLMs with Fine-grained Visual Perception

Junwen He, Yifan Wang, Lijun Wang +5

Multimodal Large Language Model (MLLMs) leverages Large Language Models as a cognitive framework for diverse visual-language tasks. Recent efforts have been made to equip MLLMs wit…

cs.CV2024★ 17 cited

Exploring Dynamic Transformer for Efficient Object Tracking

Jiawen Zhu, Xin Chen, Haiwen Diao +6

The speed-precision trade-off is a critical problem for visual object tracking which usually requires low latency and deployment on constrained resources. Existing solutions for ef…

cs.CV2024★ 1 cited

WordArt Designer API: User-Driven Artistic Typography Synthesis with Large Language Models on ModelScope

Jun-Yan He, Zhi-Qi Cheng, Chenyang Li +10

This paper introduces the WordArt Designer API, a novel framework for user-driven artistic typography synthesis utilizing Large Language Models (LLMs) on ModelScope. We address the…

cs.CV2023

Tracking with Human-Intent Reasoning

Jiawen Zhu, Zhi-Qi Cheng, Jun-Yan He +5

Advances in perception modeling have significantly improved the performance of object tracking. However, the current methods for specifying the target object in the initial frame a…

cs.CV2023★ 8 cited

AnyText: Multilingual Visual Text Generation And Editing

Yuxiang Tuo, Wangmeng Xiang, Jun-Yan He +2

Diffusion model based Text-to-Image has achieved impressive achievements recently. Although current technology for synthesizing images is highly advanced and capable of generating…