activity
20192026
most citedCyclic Learning: Bridging Image-level Labels and Nuclei Instance Segmentation

21 citations · 37 across the 17 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CV2024★ 5 cited

AttriPrompter: Auto-Prompting with Attribute Semantics for Zero-shot Nuclei Detection via Visual-Language Pre-trained Models

Yongjian Wu, Yang Zhou, Jiya Saiyin +4

Large-scale visual-language pre-trained models (VLPMs) have demonstrated exceptional performance in downstream object detection through text prompts for natural scenes. However, th…

cs.CV2024

SDPT: Synchronous Dual Prompt Tuning for Fusion-based Visual-Language Pre-trained Models

Yang Zhou, Yongjian Wu, Jiya Saiyin +4

Prompt tuning methods have achieved remarkable success in parameter-efficient fine-tuning on large pre-trained models. However, their application to dual-modal fusion-based visual-…

eess.IV2024

Region Attention Transformer for Medical Image Restoration

Zhiwen Yang, Haowei Chen, Ziniu Qian +5

Transformer-based methods have demonstrated impressive results in medical image restoration, attributed to the multi-head self-attention (MSA) mechanism in the spatial dimension. H…

eess.IV2024★ 2 cited

Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKV

Zhiwen Yang, Jiayin Li, Hui Zhang +3

Transformers have revolutionized medical image restoration, but the quadratic complexity still poses limitations for their application to high-resolution medical images. The recent…

cs.CV2024

All-In-One Medical Image Restoration via Task-Adaptive Routing

Zhiwen Yang, Haowei Chen, Ziniu Qian +5

Although single-task medical image restoration (MedIR) has witnessed remarkable success, the limited generalizability of these methods poses a substantial obstacle to wider applica…