Lei Zhou

According to our database, Lei Zhou authored at least 29 papers between 2018 and 2025.

Collaborative distances:

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

2025

Non-Registration Change Detection: A Novel Change Detection Task and Benchmark Dataset.

Zhe Shan, Lei Zhou, Liu Mao, Shaofan Chen, Chuanqiu Ren, Xia Xie

CoRR, May, 2025

ROS-SAM: High-Quality Interactive Segmentation for Remote Sensing Moving Object.

Zhe Shan, Yang Liu, Lei Zhou, Cheng Yan, Heng Wang, Xia Xie

CoRR, March, 2025

Dual-Modal Prototype Joint Learning for Compositional Zero-Shot Learning.

Shiyu Zhang, Cheng Yan, Yang Liu, Chenchen Jing, Lei Zhou, Wenjun Wang

CoRR, January, 2025

2024

Learning adversarial semantic embeddings for zero-shot recognition in open worlds.

Tianqi Li, Guansong Pang, Xiao Bai, Jin Zheng, Lei Zhou, Xin Ning

Pattern Recognit., 2024

2023

Attribute subspaces for zero-shot learning.

Lei Zhou, Yang Liu, Xiao Bai, Na Li, Xiaohan Yu, Jun Zhou, Edwin R. Hancock

Pattern Recognit., December, 2023

Information bottleneck and selective noise supervision for zero-shot learning.

Lei Zhou, Yang Liu, Pengcheng Zhang, Xiao Bai, Lin Gu, Jun Zhou, Yazhou Yao, Tatsuya Harada, Jin Zheng, Edwin R. Hancock

Mach. Learn., July, 2023

Aerial image recognition in discriminative bi-transformer.

Yichen Zhao, Yaxiong Chen, Xiongbo Lu, Lei Zhou, Shengwu Xiong

Signal Process., June, 2023

Unsupervised Recognition of Unknown Objects for Open-World Object Detection.

Ruohuan Fang, Guansong Pang, Lei Zhou, Xiao Bai, Jin Zheng

CoRR, 2023

Generalized Zero-Shot Learning via Implicit Attribute Composition.

Lei Zhou, Yang Liu, Qiang Li

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

KTR2DN: Knowledge Transfer with Residual in Residual Dehazing Network.

Yihua Lu, Pengfei Duan, Xiongbo Lu, Lei Zhou, Shengwu Xiong

Proceedings of the 2023 7th International Conference on Control Engineering and Artificial Intelligence, 2023

2022

Learning multi-view visual correspondences with self-supervision.

Pengcheng Zhang, Lei Zhou, Xiao Bai, Chen Wang, Jun Zhou, Liang Zhang, Jin Zheng

Displays, 2022

Learning Prototype via Placeholder for Zero-shot Recognition.

Zaiquan Yang, Yang Liu, Wenjia Xu, Chong Huang, Lei Zhou, Chao Tong

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification.

Yang Liu, Lei Zhou, Pengcheng Zhang, Xiao Bai, Lin Gu, Xiaohan Yu, Jun Zhou, Edwin R. Hancock

Proceedings of the Computer Vision, 2022

2021

Relation-Aware Reasoning with Graph Convolutional Network.

Lei Zhou, Yang Liu, Xiao Bai, Xiang Wang, Chen Wang, Liang Zhang, Lin Gu

Proceedings of the Image and Graphics - 11th International Conference, 2021

Goal-Oriented Gaze Estimation for Zero-Shot Learning.

Yang Liu, Lei Zhou, Xiao Bai, Yifei Huang, Lin Gu, Jun Zhou, Tatsuya Harada

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Subspace Structure Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing.

Lei Zhou, Xueni Zhang, Jianbo Wang, Xiao Bai, Lei Tong, Liang Zhang, Jun Zhou, Edwin R. Hancock

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Learning binary code for fast nearest subspace search.

Lei Zhou, Xiao Bai, Xianglong Liu, Jun Zhou, Edwin R. Hancock

Pattern Recognit., 2020

Fast Subspace Clustering Based on the Kronecker Product.

Lei Zhou, Xiao Bai, Liang Zhang, Jun Zhou, Edwin R. Hancock

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Matrix Classifier On Dynamic Functional Connectivity For Mci Identification.

Lei Zhou, Liang Zhang, Xiao Bai, Jun Zhou

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Deep supervised hashing using symmetric relative entropy.

Xueni Zhang, Lei Zhou, Xiao Bai, Xiushu Luan, Jie Luo, Edwin R. Hancock

Pattern Recognit. Lett., 2019

Latent Distribution Preserving Deep Subspace Clustering.

Lei Zhou, Xiao Bai, Dong Wang, Xianglong Liu, Jun Zhou, Edwin R. Hancock

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Hyperspectral Image Classification Based on Non-Local Neural Networks.

Chen Wang, Xiao Bai, Lei Zhou, Jun Zhou

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

A One-step Pruning-recovery Framework for Acceleration of Convolutional Neural Networks.

Dong Wang, Xiao Bai, Lei Zhou, Jun Zhou

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018

Nonlocal Similarity Based Nonnegative Tucker Decomposition for Hyperspectral Image Denoising.

Xiao Bai, Fan Xu, Lei Zhou, Yan Xing, Lu Bai, Jun Zhou

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Exploring Linear Relationship in Feature Map Subspace for ConvNets Compression.

Dong Wang, Lei Zhou, Xueni Zhang, Xiao Bai, Jun Zhou

CoRR, 2018

Fast Subspace Clustering Based on the Kronecker Product.

Lei Zhou, Xiao Bai, Xianglong Liu, Jun Zhou, Edwin R. Hancock

CoRR, 2018

Iterative Deep Subspace Clustering.

Lei Zhou, Shuai Wang, Xiao Bai, Jun Zhou, Edwin R. Hancock

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Deep Supervised Hashing with Information Loss.

Xueni Zhang, Lei Zhou, Xiao Bai, Edwin R. Hancock

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Binary Coding by Matrix Classifier for Efficient Subspace Retrieval.

Lei Zhou, Xiao Bai, Xianglong Liu, Jun Zhou

Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018