6 papers
VLM Can Be a Good Assistant: Enhancing Embodied Visual Tracking with Self-Improving Vision-Language Models
Kui Wu, Shuhang Xu, Hao Chen +4
We introduce a novel self-improving framework that enhances Embodied Visual Tracking (EVT) with Vision-Language Models (VLMs) to address the limitations of current active visual tr…
Hierarchical Instruction-aware Embodied Visual Tracking
Kui Wu, Hao Chen, Churan Wang +4
User-Centric Embodied Visual Tracking (UC-EVT) presents a novel challenge for reinforcement learning-based models due to the substantial gap between high-level user instructions an…
Clinical Inspired MRI Lesion Segmentation
Lijun Yan, Churan Wang, Fangwei Zhong +1
Magnetic resonance imaging (MRI) is a potent diagnostic tool for detecting pathological tissues in various diseases. Different MRI sequences have different contrast mechanisms and…
Enhanced MRI Representation via Cross-series Masking
Churan Wang, Fei Gao, Lijun Yan +3
Magnetic resonance imaging (MRI) is indispensable for diagnosing and planning treatment in various medical conditions due to its ability to produce multi-series images that reveal…
UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI
Fangwei Zhong, Kui Wu, Churan Wang +4
We introduce UnrealZoo, a collection of over 100 photo-realistic 3D virtual worlds built on Unreal Engine, designed to reflect the complexity and variability of open-world environm…
Domain Invariant Model with Graph Convolutional Network for Mammogram Classification
Churan Wang, Jing Li, Xinwei Sun +3
Due to its safety-critical property, the image-based diagnosis is desired to achieve robustness on out-of-distribution (OOD) samples. A natural way towards this goal is capturing o…