11 citations · 29 across the 15 of their papers we have counts for
18 papers
Harness-Search: Guiding Long-Horizon Search through Multi-Agent Coordination
Shanyong Wang, Zhenwen Ji, Lei Jin +7
Long-horizon search requires agents to gather evidence across multiple steps and synthesize it into well-supported answers. The recent agent harnesses provide a natural and promisi…
Momentum-Coupled Rubric Adaptation for Detailed Image Captioning
Zhenwen Ji, Lei Jin, Shanyong Wang +6
Detailed image captioning requires accurate and comprehensive descriptions of fine-grained visual content, yet caption quality spans factual accuracy, information coverage, and cla…
GraphDx: A Cost-Aware Knowledge-Enhanced Multi-Agent Framework for Sequential Diagnosis
Shaoting Tan, Ning Liu, Yuntao Du +7
Sequential diagnosis requires balancing diagnostic accuracy against resource costs through iterative information gathering. Existing Large Language Model (LLM) approaches exhibit a…
Parameterized Diffusion Optimization enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading
Qinkai Yu, Wei Zhou, Hantao Liu +7
As a long-term complication of diabetes, diabetic retinopathy (DR) progresses slowly, potentially taking years to threaten vision. An accurate and robust evaluation of its severity…
LexPro-1.0 Technical Report
Haotian Chen, Yanyu Xu, Boyan Wang +5
In this report, we introduce our first-generation reasoning model, LexPro-1.0, a large language model designed for the highly specialized Chinese legal domain, offering comprehensi…
Partially Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation
Lei Zhu, Yanyu Xu, Huazhu Fu +3
Unpaired Multi-Modal Learning (UMML) which leverages unpaired multi-modal data to boost model performance on each individual modality has attracted a lot of research interests in m…
BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays
Yang Zhou, Tan Li Hui Faith, Yanyu Xu +4
Medical Vision-Language Pretraining (MedVLP) shows promise in learning generalizable and transferable visual representations from paired and unpaired medical images and reports. Me…
FCA-RAC: First Cycle Annotated Repetitive Action Counting
Jiada Lu, WeiWei Zhou, Xiang Qian +5
Repetitive action counting quantifies the frequency of specific actions performed by individuals. However, existing action-counting datasets have limited action diversity, potentia…
Reliable Joint Segmentation of Retinal Edema Lesions in OCT Images
Meng Wang, Kai Yu, Chun-Mei Feng +6
Focusing on the complicated pathological features, such as blurred boundaries, severe scale differences between symptoms, background noise interference, etc., in the task of retina…
ResNeRF: Geometry-Guided Residual Neural Radiance Field for Indoor Scene Novel View Synthesis
Yuting Xiao, Yiqun Zhao, Yanyu Xu +1
We represent the ResNeRF, a novel geometry-guided two-stage framework for indoor scene novel view synthesis. Be aware of that a good geometry would greatly boost the performance of…
Localizing Anatomical Landmarks in Ocular Images using Zoom-In Attentive Networks
Xiaofeng Lei, Shaohua Li, Xinxing Xu +9
Localizing anatomical landmarks are important tasks in medical image analysis. However, the landmarks to be localized often lack prominent visual features. Their locations are elus…
GAMMA Challenge:Glaucoma grAding from Multi-Modality imAges
Junde Wu, Huihui Fang, Fei Li +26
Color fundus photography and Optical Coherence Tomography (OCT) are the two most cost-effective tools for glaucoma screening. Both two modalities of images have prominent biomarker…
Layout-Guided Novel View Synthesis from a Single Indoor Panorama
Jiale Xu, Jia Zheng, Yanyu Xu +2
Existing view synthesis methods mainly focus on the perspective images and have shown promising results. However, due to the limited field-of-view of the pinhole camera, the perfor…
Amodal Segmentation Based on Visible Region Segmentation and Shape Prior
Yuting Xiao, Yanyu Xu, Ziming Zhong +3
Almost all existing amodal segmentation methods make the inferences of occluded regions by using features corresponding to the whole image. This is against the human's amodal perce…
SIRI: Spatial Relation Induced Network For Spatial Description Resolution
Peiyao Wang, Weixin Luo, Yanyu Xu +4
Spatial Description Resolution, as a language-guided localization task, is proposed for target location in a panoramic street view, given corresponding language descriptions. Expli…
PPGNet: Learning Point-Pair Graph for Line Segment Detection
Ziheng Zhang, Zhengxin Li, Ning Bi +6
In this paper, we present a novel framework to detect line segments in man-made environments. Specifically, we propose to describe junctions, line segments and relationships betwee…
Semantic Human Matting
Quan Chen, Tiezheng Ge, Yanyu Xu +3
Human matting, high quality extraction of humans from natural images, is crucial for a wide variety of applications. Since the matting problem is severely under-constrained, most p…
Personalized Saliency and its Prediction
Yanyu Xu, Shenghua Gao, Junru Wu +2
Nearly all existing visual saliency models by far have focused on predicting a universal saliency map across all observers. Yet psychology studies suggest that visual attention of…