activity
20242026
most citedSegDINO: An Efficient Design for Medical and Natural Image Segmentation with DINO-V3

5 citations · 5 across the 6 of their papers we have counts for

collaborators

6 papers

cs.GR2026

PosterReward: Unlocking Accurate Evaluation for High-Quality Graphic Design Generation

Jianyu Lai, Sixiang Chen, Jialin Gao +7

Recent advancements in the text-rendering capabilities of image generation models have made the end-to-end creation of graphic design content, such as posters, increasingly feasibl…

cs.CV2026

PosterOmni: Generalized Artistic Poster Creation via Task Distillation and Unified Reward Feedback

Sixiang Chen, Jianyu Lai, Jialin Gao +6

Image-to-poster generation is a high-demand task requiring not only local adjustments but also high-level design understanding. Models must generate text, layout, style, and visual…

cs.CV2025★ 5 cited

SegDINO: An Efficient Design for Medical and Natural Image Segmentation with DINO-V3

Sicheng Yang, Hongqiu Wang, Zhaohu Xing +2

The DINO family of self-supervised vision models has shown remarkable transferability, yet effectively adapting their representations for segmentation remains challenging. Existing…

cs.CV2025

PosterCraft: Rethinking High-Quality Aesthetic Poster Generation in a Unified Framework

SiXiang Chen, Jianyu Lai, Jialin Gao +11

Generating aesthetic posters is more challenging than simple design images: it requires not only precise text rendering but also the seamless integration of abstract artistic conte…

cs.CV2025

JarvisIR: Elevating Autonomous Driving Perception with Intelligent Image Restoration

Yunlong Lin, Zixu Lin, Haoyu Chen +6

Vision-centric perception systems struggle with unpredictable and coupled weather degradations in the wild. Current solutions are often limited, as they either depend on specific d…

cs.CV2024

Semi-Supervised Video Desnowing Network via Temporal Decoupling Experts and Distribution-Driven Contrastive Regularization

Hongtao Wu, Yijun Yang, Angelica I Aviles-Rivero +4

Snow degradations present formidable challenges to the advancement of computer vision tasks by the undesirable corruption in outdoor scenarios. While current deep learning-based de…