most citedPixel is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection

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cs.CV2026

MoPort: A View-Aware 2D Interface for Motion Language Models

Lixing Tan, Qing Xia, Yuting Guo +2

Motion language models (MoLMs) encode 3D human motion as discrete tokens for language-based understanding. Deploying them on monocular video raises two problems. Pose detection yie…

cs.CV2026

CUFormer: Modality-Aware CT-Ultrasound Point Cloud Registration for Orthopedic Navigation

Lixing Tan, Qing Xia, Hongye Hao +4

Registering intraoperative Ultrasound (US) bone-surface point clouds to preoperative Computed Tomography (CT) models can support radiation-free orthopedic navigation. Differences i…

cs.CV2026

Can Motion-Language Models Ground Structure? STRIDE for Evaluating the Evaluators

Lixing Tan, Qing Xia, Yuting Guo +2

Motion-language models are typically scored by motion-language evaluators, but how well these evaluators ground language structure remains unclear. Here, we introduce the Structure…

cs.CV2026

REMEDY: How Far Is Video Generation from Medical Education World Models?

Lixing Tan, Yanghao Zhou, Qing Xia +3

Recent video generation models produce realistic videos and show potential as a foundation for world models. These advances create opportunities for generating medical teaching dem…

cs.CV2026

VoxStruct3D: Structure-Leading Flow Matching for Voxel-Space 3D MRI Synthesis

Fang Li, Yang Gao, Shihao Zou +5

High-fidelity 3D MRI synthesis requires both globally coherent anatomy and fine-grained voxel-level detail. Although latent diffusion makes volumetric generation tractable, its ima…

cs.CV2022★ 1 cited

Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection

Zhenyu Wu, Lin Wang, Wei Wang +4

Although weakly-supervised techniques can reduce the labeling effort, it is unclear whether a saliency model trained with weakly-supervised data (e.g., point annotation) can achiev…