:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Chengzhi, Huang, Zile, Chen, Zhe, Tang, Feilong, Tian, Yu, Xu, Zhongxing, Luo, Zihong, Zheng, Yalin, Meng, Yanda
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2502.11724
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport
by: Yu, Qinkai, et al.
Published: (2025)

Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation
by: Wang, Xinkun, et al.
Published: (2025)

Confidence-Aware Self-Distillation for Multimodal Sentiment Analysis with Incomplete Modalities
by: Luo, Yanxi, et al.
Published: (2025)

Parameterized Diffusion Optimization enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading
by: Yu, Qinkai, et al.
Published: (2025)

Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP
by: Xu, Zhongxing, et al.
Published: (2024)

MTSA-SNN: A Multi-modal Time Series Analysis Model Based on Spiking Neural Network
by: Liu, Chengzhi, et al.
Published: (2024)

OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding
by: Hu, Ming, et al.
Published: (2024)

CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware Prompting
by: Yu, Qinkai, et al.
Published: (2024)

TARDis: Time Attenuated Representation Disentanglement for Incomplete Multi-Modal Tumor Segmentation and Classification
by: Wan, Zishuo, et al.
Published: (2025)

PG-SAM: Prior-Guided SAM with Medical for Multi-organ Segmentation
by: Zhong, Yiheng, et al.
Published: (2025)

Adaptive Disentangled Representation Learning for Incomplete Multi-View Multi-Label Classification
by: Li, Quanjiang, et al.
Published: (2026)

Are Spatial-Temporal Graph Convolution Networks for Human Action Recognition Over-Parameterized?
by: Xie, Jianyang, et al.
Published: (2025)

MC-DBN: A Deep Belief Network-Based Model for Modality Completion
by: Luo, Zihong, et al.
Published: (2024)

Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations
by: Xia, Peng, et al.
Published: (2024)

OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining
by: Hu, Ming, et al.
Published: (2024)

Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation
by: Tang, Feilong, et al.
Published: (2024)

Benchmarking Large Multimodal Models for Ophthalmic Visual Question Answering with OphthalWeChat
by: Xu, Pusheng, et al.
Published: (2025)

Towards Dynamic 3D Reconstruction of Hand-Instrument Interaction in Ophthalmic Surgery
by: Hu, Ming, et al.
Published: (2025)

Better Sampling, towards Better End-to-end Small Object Detection
by: Huang, Zile, et al.
Published: (2024)

FusionFM: Fusing Eye-specific Foundational Models for Optimized Ophthalmic Diagnosis
by: Zou, Ke, et al.
Published: (2025)

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding
by: Tang, Feilong, et al.
Published: (2025)

One-stage Modality Distillation for Incomplete Multimodal Learning
by: Wei, Shicai, et al.
Published: (2023)

A Clinician-Friendly Platform for Ophthalmic Image Analysis Without Technical Barriers
by: Wang, Meng, et al.
Published: (2025)

Progressive Representation Learning for Multimodal Sentiment Analysis with Incomplete Modalities
by: Bao, Jindi, et al.
Published: (2026)

GLCP: Global-to-Local Connectivity Preservation for Tubular Structure Segmentation
by: Zhou, Feixiang, et al.
Published: (2025)

PoCo: A Self-Supervised Approach via Polar Transformation Based Progressive Contrastive Learning for Ophthalmic Disease Diagnosis
by: Wang, Jinhong, et al.
Published: (2024)

AlphaVAE: Unified End-to-End RGBA Image Reconstruction and Generation with Alpha-Aware Representation Learning
by: Wang, Zile, et al.
Published: (2025)

Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation
by: Tang, Feilong, et al.
Published: (2024)

Inference-Time Dynamic Modality Selection for Incomplete Multimodal Classification
by: Du, Siyi, et al.
Published: (2026)

PSScreen V2: Partially Supervised Multiple Retinal Disease Screening
by: Zheng, Boyi, et al.
Published: (2025)

Distilling Cross-Modal Knowledge via Feature Disentanglement
by: Liu, Junhong, et al.
Published: (2025)

Understanding Temporal Logic Consistency in Video-Language Models through Cross-Modal Attention Discriminability
by: Li, Chengzhi, et al.
Published: (2025)

Thinking in Uncertainty: Mitigating Hallucinations in MLRMs with Latent Entropy-Aware Decoding
by: Xu, Zhongxing, et al.
Published: (2026)

Self-Supervised Generative-Contrastive Learning of Multi-Modal Euclidean Input for 3D Shape Latent Representations: A Dynamic Switching Approach
by: Wu, Chengzhi, et al.
Published: (2023)

Learning Modality-agnostic Representation for Semantic Segmentation from Any Modalities
by: Zheng, Xu, et al.
Published: (2024)

X-PCR: A Benchmark for Cross-modality Progressive Clinical Reasoning in Ophthalmic Diagnosis
by: Wang, Gui, et al.
Published: (2026)

Decoupling Feature Representations of Ego and Other Modalities for Incomplete Multi-modal Brain Tumor Segmentation
by: Yang, Kaixiang, et al.
Published: (2024)

OphIn-500K: Curating Web-Scale Visual Instructions for Scaling Ophthalmic Multimodal Large Language Models
by: Dong, Xuanzhao, et al.
Published: (2026)

A Survey of Multimodal Ophthalmic Diagnostics: From Task-Specific Approaches to Foundational Models
by: Luo, Xiaoling, et al.
Published: (2025)

Fourier Prompt Tuning for Modality-Incomplete Scene Segmentation
by: Liu, Ruiping, et al.
Published: (2024)