most citedColonAdapter: Geometry Estimation Through Foundation Model Adaptation for Colonoscopy

1 citations · 1 across the 10 of their papers we have counts for

collaborators

12 papers

eess.IV2026

XPos3R: Cross-Modal Transformer for Intraoperative 2D/3D Registration

Shiyan Su, Ruyi Zha, Hongdong Li +2

Intraoperative 2D/3D registration, which aligns live X-ray images with preoperative volumes, is essential for image-guided interventions. Previous regression-based methods suffer f…

cs.CV2026

Learning Compositional Spatio-Temporal Video Grounding with Synthetic Curriculum

Xingjian Wang, Shijian Wang, Yibo Wang +4

Despite the impressive progress of recent MLLMs on spatio-temporal video grounding (STVG), existing evaluations and training data focus primarily on simple queries. They largely ov…

cs.CV2026

CALM-AH: An ABAW11-Calibrated Multimodal Ensemble with Reliability-Gated Multi-Expert Consensus for Video-Level Ambivalence and Hesitancy Recognition

Wenzhuo Sun, Mingjian Liang, Richard Attfield +3

Ambivalence and hesitancy (A/H) are subtle behavioural states that may be expressed through language, voice, facial activity, and other non-verbal cues. The ABAW11 A/H Video Recogn…

cs.RO2026

Beyond Binary Success: A Diagnostic Meta-Evaluation Framework for Fine-Grained Manipulation

He-Yang Xu, Pengyuan Zhang, Zongyuan Ge +5

Fine-grained manipulation marks a regime where global scene context no longer suffices, and success hinges on the tight coupling of local attribute grounding, high-fidelity spatial…

cs.CV2026

MuSEAgent: A Multimodal Reasoning Agent with Stateful Experiences

Shijian Wang, Jiarui Jin, Runhao Fu +11

Research agents have recently achieved significant progress in information seeking and synthesis across heterogeneous textual and visual sources. In this paper, we introduce MuSEAg…

cs.CV2026

Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development

Zhongying Deng, Cheng Tang, Ziyan Huang +124

Foundation models have demonstrated remarkable success across diverse domains and tasks, primarily due to the thrive of large-scale, diverse, and high-quality datasets. However, in…