7 papers
Multimodal Causal-Driven Representation Learning for Generalizable Medical Image Segmentation
Xusheng Liang, Lihua Zhou, Nianxin Li +8
Vision-Language Models (VLMs), such as CLIP, have demonstrated remarkable zero-shot capabilities in various computer vision tasks. However, their application to medical imaging rem…
SurgMotion: A Video-Native Foundation Model for Universal Understanding of Surgical Videos
Jinlin Wu, Felix Holm, Chuxi Chen +17
While foundation models have advanced surgical video analysis, current approaches rely predominantly on pixel-level reconstruction objectives that waste model capacity on low-level…
BFSM: 3D Bidirectional Face-Skull Morphable Model
Zidu Wang, Meng Xu, Miao Xu +5
Building a joint face-skull morphable model holds great potential for applications such as remote diagnostics, surgical planning, medical education, and physically based facial sim…
Towards Realistic Hand-Object Interaction with Gravity-Field Based Diffusion Bridge
Miao Xu, Xiangyu Zhu, Xusheng Liang +3
Existing reconstruction or hand-object pose estimation methods are capable of producing coarse interaction states. However, due to the complex and diverse geometry of both human ha…
Pose-RFT: Enhancing MLLMs for 3D Pose Generation via Hybrid Action Reinforcement Fine-Tuning
Bao Li, Xiaomei Zhang, Miao Xu +3
Generating 3D human poses from multimodal inputs such as images or text requires models to capture both rich spatial and semantic correspondences. While pose-specific multimodal la…
Deep Multi-Manifold Transformation Based Multivariate Time Series Fault Detection
Hong Liu, Xiuxiu Qiu, Yiming Shi +3
Unsupervised fault detection in multivariate time series plays a vital role in ensuring the stable operation of complex systems. Traditional methods often assume that normal data f…