activity
20242026
most cited{S-Mamba}: Small-Size-Sensitive Mamba for Lesion Segmentation

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20261 cited

RegFreeNet: A Registration-Free Network for CBCT-based 3D Dental Implant Planning

Xinquan Yang, Xuguang Li, Mianjie Zheng +6

As the commercial surgical guide design software usually does not support the export of implant position for pre-implantation data, existing methods have to scan the post-implantat…

cs.CV2025

EyePCR: A Comprehensive Benchmark for Fine-Grained Perception, Knowledge Comprehension and Clinical Reasoning in Ophthalmic Surgery

Gui Wang, Yang Wennuo, Xusen Ma +7

MLLMs (Multimodal Large Language Models) have showcased remarkable capabilities, but their performance in high-stakes, domain-specific scenarios like surgical settings, remains lar…

cs.CV2025

FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing

Bizhu Wu, Jinheng Xie, Meidan Ding +5

Generating realistic human motions from textual descriptions has undergone significant advancements. However, existing methods often overlook specific body part movements and their…

cs.CV2025

MG-MotionLLM: A Unified Framework for Motion Comprehension and Generation across Multiple Granularities

Bizhu Wu, Jinheng Xie, Keming Shen +5

Recent motion-aware large language models have demonstrated promising potential in unifying motion comprehension and generation. However, existing approaches primarily focus on coa…

cs.CV20241 cited

{S-Mamba}: Small-Size-Sensitive Mamba for Lesion Segmentation

Gui Wang, Yuexiang Li, Wenting Chen +5

Small lesions play a critical role in early disease diagnosis and intervention of severe infections. Popular models often face challenges in segmenting small lesions, as it occupie…