Lei Zhu

Orcid: 0000-0003-0506-4268

Affiliations:
  • Peking University, Health Science Center, Institute of Medical Technology, Beijing, China
  • Beijing University of Posts and Telecommunications, School of Computer Science, National Pilot Software Engineering School, China


According to our database1, Lei Zhu authored at least 33 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
V2C-CBM: Building Concept Bottlenecks with Vision-to-Concept Tokenizer.
CoRR, January, 2025

Generative learning-based lightweight MRI brain tumor segmentation with missing modalities.
Expert Syst. Appl., 2025

2024
Boosting Weakly Supervised Object Localization and Segmentation With Domain Adaption.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

PCNet: Prior Category Network for CT Universal Segmentation Model.
IEEE Trans. Medical Imaging, September, 2024

One-Pot Multi-frame Denoising.
Int. J. Comput. Vis., February, 2024

Scaling the Codebook Size of VQGAN to 100,000 with a Utilization Rate of 99%.
CoRR, 2024

Scaling the Codebook Size of VQ-GAN to 100, 000 with a Utilization Rate of 99%.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Beyond Text: Frozen Large Language Models in Visual Signal Comprehension.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Scribble Hides Class: Promoting Scribble-Based Weakly-Supervised Semantic Segmentation with Its Class Label.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Background-Aware Classification Activation Map for Weakly Supervised Object Localization.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Discriminative ensemble meta-learning with co-regularization for rare fundus diseases diagnosis.
Medical Image Anal., October, 2023

Multi-level Asymmetric Contrastive Learning for Medical Image Segmentation Pre-training.
CoRR, 2023

Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation.
CoRR, 2023

2022
Triplet Cross-Fusion Learning for Unpaired Image Denoising in Optical Coherence Tomography.
IEEE Trans. Medical Imaging, 2022

Content-Noise Complementary Learning for Medical Image Denoising.
IEEE Trans. Medical Imaging, 2022

Explored Normalized Cut With Random Walk Refining Term for Image Segmentation.
IEEE Trans. Image Process., 2022

Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network.
Pattern Recognit., 2022

Boosting medical image segmentation via conditional-synergistic convolution and lesion decoupling.
Comput. Medical Imaging Graph., 2022

Bagging Regional Classification Activation Maps for Weakly Supervised Object Localization.
Proceedings of the Computer Vision - ECCV 2022, 2022

Weakly Supervised Object Localization as Domain Adaption.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

One-Pot Multi-Frame Denoising.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
HDNet: Hybrid Distance Network for semantic segmentation.
Neurocomputing, 2021

Background-aware Classification Activation Map for Weakly Supervised Object Localization.
CoRR, 2021

A Label Management Mechanism for Retinal Fundus Image Classification of Diabetic Retinopathy.
CoRR, 2021

Unifying Nonlocal Blocks for Neural Networks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

MT-ORL: Multi-Task Occlusion Relationship Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning the Superpixel in a Non-Iterative and Lifelong Manner.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Involution: Inverting the Inherence of Convolution for Visual Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Dynamic Random Walk for Superpixel Segmentation.
IEEE Trans. Image Process., 2020

2019
A Spectral Nonlocal Block for Neural Networks.
CoRR, 2019

Adaptive Occlusion Boundary Extraction for Depth Inference.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Dynamic Random Walk for Superpixel Segmentation.
Proceedings of the Computer Vision - ACCV 2018, 2018


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