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20242026
most citedCurriculum Prompting Foundation Models for Medical Image Segmentation

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

VReID-XFD: Video-based Person Re-identification at Extreme Far Distance Challenge Results

Kailash A. Hambarde, Hugo Proença, Md Rashidunnabi +18

Person re-identification (ReID) across aerial and ground views at extreme far distances introduces a distinct operating regime where severe resolution degradation, extreme viewpoin…

cs.CV2025

Multi-level distortion-aware deformable network for omnidirectional image super-resolution

Cuixin Yang, Rongkang Dong, Kin-Man Lam +2

As augmented reality and virtual reality applications gain popularity, image processing for OmniDirectional Images (ODIs) has attracted increasing attention. OmniDirectional Image…

cs.CV2025

AirSim360: A Panoramic Simulation Platform within Drone View

Xian Ge, Yuling Pan, Yuhang Zhang +12

The field of 360-degree omnidirectional understanding has been receiving increasing attention for advancing spatial intelligence. However, the lack of large-scale and diverse data…

cs.LG2025

Refining Alignment Framework for Diffusion Models with Intermediate-Step Preference Ranking

Jie Ren, Yuhang Zhang, Dongrui Liu +2

Direct preference optimization (DPO) has shown success in aligning diffusion models with human preference. Previous approaches typically assume a consistent preference label betwee…

cs.CV20241 cited

Curriculum Prompting Foundation Models for Medical Image Segmentation

Xiuqi Zheng, Yuhang Zhang, Haoran Zhang +4

Adapting large pre-trained foundation models, e.g., SAM, for medical image segmentation remains a significant challenge. A crucial step involves the formulation of a series of spec…