activity
20222024
most citedExploring Dynamic Transformer for Efficient Object Tracking

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

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Showing 2023Show all

6 papers · 1 filter

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.CL2023

WordArt Designer: User-Driven Artistic Typography Synthesis using Large Language Models

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

This paper introduces WordArt Designer, a user-driven framework for artistic typography synthesis, relying on the Large Language Model (LLM). The system incorporates four key modul…

cs.CV2023★ 5 cited

Tracking Anything in High Quality

Jiawen Zhu, Zhenyu Chen, Zeqi Hao +9

Visual object tracking is a fundamental video task in computer vision. Recently, the notably increasing power of perception algorithms allows the unification of single/multiobject…

eess.IV2023★ 1 cited

Thoracic Cartilage Ultrasound-CT Registration using Dense Skeleton Graph

Zhongliang Jiang, Chenyang Li, Xuesong Li +1

Autonomous ultrasound (US) imaging has gained increased interest recently, and it has been seen as a potential solution to overcome the limitations of free-hand US examinations, su…

cs.CV2023★ 1 cited

KeyPosS: Plug-and-Play Facial Landmark Detection through GPS-Inspired True-Range Multilateration

Xu Bao, Zhi-Qi Cheng, Jun-Yan He +8

Accurate facial landmark detection is critical for facial analysis tasks, yet prevailing heatmap and coordinate regression methods grapple with prohibitive computational costs and…

cs.CV2023★ 1 cited

DAMO-StreamNet: Optimizing Streaming Perception in Autonomous Driving

Jun-Yan He, Zhi-Qi Cheng, Chenyang Li +5

Real-time perception, or streaming perception, is a crucial aspect of autonomous driving that has yet to be thoroughly explored in existing research. To address this gap, we presen…