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20242026
most citedChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model

3 citations · 3 across the 7 of their papers we have counts for

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cs.CV2026

h-Flow: Flexible Flow-based Image Editing via Doob's h-Transform

Zehui Guo, Zhen Wang, Junwei Shu +3

Editing images with pre-trained text-to-image flow models typically requires carefully balancing target alignment with the desired prompt and source consistency with the original i…

cs.CV2026

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling

Junwei Shu, Wenjie Liu, Hantang Liu +2

Monte Carlo rendering and modern generative models both transform uncertain states into structured images, yet they are usually studied as separate processes. We introduce Monte Ca…

cs.CV2025

LMP: Leveraging Motion Prior in Zero-Shot Video Generation with Diffusion Transformer

Changgu Chen, Xiaoyan Yang, Junwei Shu +2

In recent years, large-scale pre-trained diffusion transformer models have made significant progress in video generation. While current DiT models can produce high-definition, high…

cs.CV2025

GT2-GS: Geometry-aware Texture Transfer for Gaussian Splatting

Wenjie Liu, Zhongliang Liu, Junwei Shu +2

Transferring 2D textures onto complex 3D scenes plays a vital role in enhancing the efficiency and controllability of 3D multimedia content creation. However, existing 3D style tra…

cs.CV2025

TimeSoccer: An End-to-End Multimodal Large Language Model for Soccer Commentary Generation

Ling You, Wenxuan Huang, Xinni Xie +5

Soccer is a globally popular sporting event, typically characterized by long matches and distinctive highlight moments. Recent advances in Multimodal Large Language Models (MLLMs)…

cs.CV2024★ 3 cited

ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model

Yiming Sun, Fan Yu, Shaoxiang Chen +5

Visual object tracking aims to locate a targeted object in a video sequence based on an initial bounding box. Recently, Vision-Language~(VL) trackers have proposed to utilize addit…