activity
20222024
most citedExploring Dynamic Transformer for Efficient Object Tracking

17 citations · 34 across the 13 of their papers we have counts for

collaborators
Showing 2024Show all

5 papers · 1 filter

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.AI2024

MetaDesigner: Advancing Artistic Typography Through AI-Driven, User-Centric, and Multilingual WordArt Synthesis

Jun-Yan He, Zhi-Qi Cheng, Chenyang Li +11

MetaDesigner introduces a transformative framework for artistic typography synthesis, powered by Large Language Models (LLMs) and grounded in a user-centric design paradigm. Its fo…

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

DyRoNet: Dynamic Routing and Low-Rank Adapters for Autonomous Driving Streaming Perception

Xiang Huang, Zhi-Qi Cheng, Jun-Yan He +3

The advancement of autonomous driving systems hinges on the ability to achieve low-latency and high-accuracy perception. To address this critical need, this paper introduces Dynami…

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…