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20232026
most citedAn Empirical Analysis of Uncertainty in Large Language Model Evaluations

1 citations · 3 across the 16 of their papers we have counts for

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cs.CV2025

AOR: Anatomical Ontology-Guided Reasoning for Medical Large Multimodal Model in Chest X-Ray Interpretation

Qingqiu Li, Zihang Cui, Seongsu Bae +8

Chest X-rays (CXRs) are the most frequently performed imaging examinations in clinical settings. Recent advancements in Large Multimodal Models (LMMs) have enabled automated CXR in…

cs.CV2025

EgoExo-Gen: Ego-centric Video Prediction by Watching Exo-centric Videos

Jilan Xu, Yifei Huang, Baoqi Pei +6

Generating videos in the first-person perspective has broad application prospects in the field of augmented reality and embodied intelligence. In this work, we explore the cross-vi…

cs.CV2025

UGNA-VPR: A Novel Training Paradigm for Visual Place Recognition Based on Uncertainty-Guided NeRF Augmentation

Yehui Shen, Lei Zhang, Qingqiu Li +4

Visual place recognition (VPR) is crucial for robots to identify previously visited locations, playing an important role in autonomous navigation in both indoor and outdoor environ…

cs.CV2025

Text-Promptable Propagation for Referring Medical Image Sequence Segmentation

Runtian Yuan, Mohan Chen, Jilan Xu +6

Referring Medical Image Sequence Segmentation (Ref-MISS) is a novel and challenging task that aims to segment anatomical structures in medical image sequences (\emph{e.g.} endoscop…

cs.CV2024★ 1 cited

Anatomical Structure-Guided Medical Vision-Language Pre-training

Qingqiu Li, Xiaohan Yan, Jilan Xu +6

Learning medical visual representations through vision-language pre-training has reached remarkable progress. Despite the promising performance, it still faces challenges, i.e., lo…

cs.CV2023

Enhanced Knowledge Injection for Radiology Report Generation

Qingqiu Li, Jilan Xu, Runtian Yuan +5

Automatic generation of radiology reports holds crucial clinical value, as it can alleviate substantial workload on radiologists and remind less experienced ones of potential anoma…