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20242026
most citedRenderWorld: World Model with Self-Supervised 3D Label

2 citations · 4 across the 8 of their papers we have counts for

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cs.CV2026

Reconstructing the Dynamic World: A Representation-Centric View of 4D Scene Reconstruction

Ziren Gong, Guo Chen, Yongjia Li +13

4D scene reconstruction aims to recover the evolving geometry, appearance, and motion of dynamic environments from visual observations. Despite substantial progress in neural scene…

cs.CV2026

LiST: Local-Simplex Test-Time LoRA Fusion

Yihua Shao, Jia Li, Siyu Chen +12

Task-specific LoRA adapters offer a modular way to specialize large language and vision-language models. However, existing adapter composition methods are mostly static and cannot…

cs.CV2026

Medical SAM3: A Foundation Model for Universal Prompt-Driven Medical Image Segmentation

Chongcong Jiang, Tianxingjian Ding, Chuhan Song +7

Promptable segmentation foundation models such as SAM3 have demonstrated strong generalization capabilities through interactive and concept-based prompting. However, their direct a…

cs.CV2025

ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation

Yihua Shao, Xiaofeng Lin, Xinwei Long +7

Enabling multi-task adaptation in pre-trained Low-Rank Adaptation (LoRA) models is crucial for enhancing their generalization capabilities. Most existing pre-trained LoRA fusion me…

cs.CV2025

EventVAD: Training-Free Event-Aware Video Anomaly Detection

Yihua Shao, Haojin He, Sijie Li +11

Video Anomaly Detection~(VAD) focuses on identifying anomalies within videos. Supervised methods require an amount of in-domain training data and often struggle to generalize to un…

cs.CV2025

GM-MoE: Low-Light Enhancement with Gated-Mechanism Mixture-of-Experts

Minwen Liao, Hao Bo Dong, Xinyi Wang +3

Low-light enhancement has wide applications in autonomous driving, 3D reconstruction, remote sensing, surveillance, and so on, which can significantly improve information utilizati…

cs.CV2024

3DSceneEditor: Controllable 3D Scene Editing with Gaussian Splatting

Ziyang Yan, Yihua Shao, Minwen Liao +7

The creation of 3D scenes has traditionally been both labor-intensive and costly, requiring designers to meticulously configure 3D assets and environments. Recent advancements in g…

cs.CV2024★ 2 cited

RenderWorld: World Model with Self-Supervised 3D Label

Ziyang Yan, Wenzhen Dong, Yihua Shao +8

End-to-end autonomous driving with vision-only is not only more cost-effective compared to LiDAR-vision fusion but also more reliable than traditional methods. To achieve a economi…