Munan Ning

According to our database, Munan Ning authored at least 29 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Unsupervised Domain Adaptation for Medical Image Segmentation by Disentanglement Learning and Self-Training.

Qingsong Xie, Yuexiang Li, Nanjun He, Munan Ning, Kai Ma, Guoxing Wang, Yong Lian, Yefeng Zheng

IEEE Trans. Medical Imaging, January, 2024

LLMBind: A Unified Modality-Task Integration Framework.

Bin Zhu, Peng Jin, Munan Ning, Bin Lin, Jinfa Huang, Qi Song, Jiaxi Cui, Junwu Zhang, Zhenyu Tang, Mingjun Pan, Xing Zhou, Li Yuan

CoRR, 2024

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models.

Bin Lin, Zhenyu Tang, Yang Ye, Jiaxi Cui, Bin Zhu, Peng Jin, Junwu Zhang, Munan Ning, Li Yuan

CoRR, 2024

2023

MIL-ViT: A multiple instance vision transformer for fundus image classification.

Qi Bi, Xu Sun, Shuang Yu, Kai Ma, Cheng Bian, Munan Ning, Nanjun He, Yawen Huang, Yuexiang Li, Hanruo Liu, Yefeng Zheng

J. Vis. Commun. Image Represent., December, 2023

MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation.

Munan Ning, Donghuan Lu, Yujia Xie, Dongdong Chen, Dong Wei, Yefeng Zheng, Yonghong Tian, Shuicheng Yan, Li Yuan

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable 2D Repainting.

Junwu Zhang, Zhenyu Tang, Yatian Pang, Xinhua Cheng, Peng Jin, Yida Wei, Munan Ning, Li Yuan

CoRR, 2023

Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models.

Munan Ning, Bin Zhu, Yujia Xie, Bin Lin, Jiaxi Cui, Lu Yuan, Dongdong Chen, Li Yuan

CoRR, 2023

Video-LLaVA: Learning United Visual Representation by Alignment Before Projection.

Bin Lin, Yang Ye, Bin Zhu, Jiaxi Cui, Munan Ning, Peng Jin, Li Yuan

CoRR, 2023

LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment.

Bin Zhu, Bin Lin, Munan Ning, Yang Yan, Jiaxi Cui, Hongfa Wang, Yatian Pang, Wenhao Jiang, Junwu Zhang, Zongwei Li, Wancai Zhang, Zhifeng Li, Wei Liu, Li Yuan

CoRR, 2023

LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples.

Jia-Yu Yao, Kun-Peng Ning, Zhen-Hui Liu, Munan Ning, Li Yuan

CoRR, 2023

ChatFace: Chat-Guided Real Face Editing via Diffusion Latent Space Manipulation.

Dongxu Yue, Qin Guo, Munan Ning, Jiaxi Cui, Yuesheng Zhu, Li Yuan

CoRR, 2023

Temporal Contrastive Learning for Spiking Neural Networks.

Haonan Qiu, Zeyin Song, Yanqi Chen, Munan Ning, Wei Fang, Tao Sun, Zhengyu Ma, Li Yuan, Yonghong Tian

CoRR, 2023

Album Storytelling with Iterative Story-aware Captioning and Large Language Models.

Munan Ning, Yujia Xie, Dongdong Chen, Zeyin Song, Lu Yuan, Yonghong Tian, Qixiang Ye, Li Yuan

CoRR, 2023

A Model-Agnostic Framework for Universal Anomaly Detection of Multi-organ and Multi-modal Images.

Yinghao Zhang, Donghuan Lu, Munan Ning, Liansheng Wang, Dong Wei, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images.

Wenguang Yuan, Donghuan Lu, Dong Wei, Munan Ning, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

An Inclusive Task-Aware Framework for Radiology Report Generation.

Lin Wang, Munan Ning, Donghuan Lu, Dong Wei, Yefeng Zheng, Jie Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration.

Jiashun Chen, Donghuan Lu, Yu Zhang, Dong Wei, Munan Ning, Xinyu Shi, Zhe Xu, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation.

Xinyu Shi, Dong Wei, Yu Zhang, Donghuan Lu, Munan Ning, Jiashun Chen, Kai Ma, Yefeng Zheng

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework.

Munan Ning, Cheng Bian, Dong Wei, Chenglang Yuan, Yaohua Wang, Yang Guo, Kai Ma, Yefeng Zheng

CoRR, 2021

MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification.

Shuang Yu, Kai Ma, Qi Bi, Cheng Bian, Munan Ning, Nanjun He, Yuexiang Li, Hanruo Liu, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework.

Munan Ning, Cheng Bian, Dong Wei, Shuang Yu, Chenglang Yuan, Yaohua Wang, Yang Guo, Kai Ma, Yefeng Zheng

Proceedings of the Information Processing in Medical Imaging, 2021

Multi-Anchor Active Domain Adaptation for Semantic Segmentation.

Munan Ning, Donghuan Lu, Dong Wei, Cheng Bian, Chenglang Yuan, Shuang Yu, Kai Ma, Yefeng Zheng

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Deviation based clustering for unsupervised person re-identification.

Munan Ning, Kaiwei Zeng, Yang Guo, Yaohua Wang

Pattern Recognit. Lett., 2020

Energy clustering for unsupervised person re-identification.

Kaiwei Zeng, Munan Ning, Yaohua Wang, Yang Guo

Image Vis. Comput., 2020

Ensembled ResUnet for Anatomical Brain Barriers Segmentation.

Munan Ning, Cheng Bian, Chenglang Yuan, Kai Ma, Yefeng Zheng

Proceedings of the Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, 2020

A Macro-Micro Weakly-Supervised Framework for AS-OCT Tissue Segmentation.

Munan Ning, Cheng Bian, Donghuan Lu, Hong-Yu Zhou, Shuang Yu, Chenglang Yuan, Yang Guo, Yaohua Wang, Kai Ma, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Hierarchical Clustering With Hard-Batch Triplet Loss for Person Re-Identification.

Kaiwei Zeng, Munan Ning, Yaohua Wang, Yang Guo

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2017

3D Deeply-Supervised U-Net Based Whole Heart Segmentation.

Qianqian Tong, Munan Ning, Weixin Si, Xiangyun Liao, Jing Qin

Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

A joint multi-scale convolutional network for fully automatic segmentation of the left ventricle.

Qianqian Tong, Zhiyong Yuan, Xiangyun Liao, Mianlun Zheng, Weixu Zhu, Guian Zhang, Munan Ning

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017