Zhenpeng Feng

According to our database, Zhenpeng Feng authored at least 19 papers between 2021 and 2024.

Collaborative distances:

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

2024

Reperceive Global Vision of Transformer for Remote Sensing Images Weakly Supervised Object Localization.

Xuran Hu, Mingzhe Zhu, Zhenpeng Feng, Ljubisa Stankovic

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Manifold-based Shapley explanations for high dimensional correlated features.

Xuran Hu, Mingzhe Zhu, Zhenpeng Feng, Ljubisa Stankovic

Neural Networks, 2024

Cluster-CAM: Cluster-weighted visual interpretation of CNNs' decision in image classification.

Zhenpeng Feng, Hongbing Ji, Milos Dakovic, Xiyang Cui, Mingzhe Zhu, Ljubisa Stankovic

Neural Networks, 2024

Unveiling SAR target recognition networks: Adaptive Perturbation Interpretation for enhanced understanding.

Mingzhe Zhu, Xuran Hu, Zhenpeng Feng, Ljubisa Stankovic

Neurocomputing, 2024

SAR Despeckling via Log-Yeo-Johnson Transformation and Sparse Representation.

Xuran Hu, Mingzhe Zhu, Djordje Stankovic, Zhenpeng Feng, Shouhan Mao, Ljubisa Stankovic

CoRR, 2024

Perturbation on Feature Coalition: Towards Interpretable Deep Neural Networks.

Xuran Hu, Mingzhe Zhu, Zhenpeng Feng, Milos Dakovic, Ljubisa Stankovic

CoRR, 2024

Multi-task SAR Image Processing via GAN-based Unsupervised Manipulation.

Xuran Hu, Mingzhe Zhu, Ziqiang Xu, Zhenpeng Feng, Ljubisa Stankovic

CoRR, 2024

Manifold-Based Shapley for SAR Recognization Network Explanation.

Xuran Hu, Mingzhe Zhu, Yuanjing Liu, Zhenpeng Feng, Ljubisa Stankovic

Proceedings of the IGARSS 2024, 2024

SAR Despeckling Via Regional Denoising Diffusion Probabilistic Model.

Xuran Hu, Ziqiang Xu, Zhihan Chen, Zhenpeng Feng, Mingzhe Zhu, Ljubisa Stankovic

Proceedings of the IGARSS 2024, 2024

2023

Analytical interpretation of the gap of CNN's cognition between SAR and optical target recognition.

Zhenpeng Feng, Hongbing Ji, Milos Dakovic, Mingzhe Zhu, Ljubisa Stankovic

Neural Networks, August, 2023

C-RISE: A Post-Hoc Interpretation Method of Black-Box Models for SAR ATR.

Mingzhe Zhu, Jie Cheng, Tao Lei, Zhenpeng Feng, Xianda Zhou, Yuanjing Liu, Zhihan Chen

Remote. Sens., June, 2023

Interpretation of Latent Codes in InfoGAN with SAR Images.

Zhenpeng Feng, Milos Dakovic, Hongbing Ji, Xianda Zhou, Mingzhe Zhu, Xiyang Cui, Ljubisa Stankovic

Remote. Sens., March, 2023

VS-CAM: Vertex Semantic Class Activation Mapping to Interpret Vision Graph Neural Network.

Zhenpeng Feng, Xiyang Cui, Hongbing Ji, Mingzhe Zhu, Ljubisa Stankovic

Neurocomputing, 2023

2022

A probe-feature for specific emitter identification using axiom-based grad-CAM.

Mingzhe Zhu, Zhenpeng Feng, Ljubisa Stankovic, Linlin Ding, Jingyuan Fan, Xianda Zhou

Signal Process., 2022

LIME-Based Data Selection Method for SAR Images Generation Using GAN.

Mingzhe Zhu, Bo Zang, Linlin Ding, Tao Lei, Zhenpeng Feng, Jingyuan Fan

Remote. Sens., 2022

Analytical Interpretation of Latent Codes in InfoGAN with SAR Images.

Zhenpeng Feng, Milos Dakovic, Hongbing Ji, Mingzhe Zhu, Ljubisa Stankovic

CoRR, 2022

2021

CNN-LRP: Understanding Convolutional Neural Networks Performance for Target Recognition in SAR Images.

Bo Zang, Linlin Ding, Zhenpeng Feng, Mingzhe Zhu, Tao Lei, Mengdao Xing, Xianda Zhou

Sensors, 2021

Self-Matching CAM: A Novel Accurate Visual Explanation of CNNs for SAR Image Interpretation.

Zhenpeng Feng, Mingzhe Zhu, Ljubisa Stankovic, Hongbing Ji

Remote. Sens., 2021

SC-SM CAM: An Efficient Visual Interpretation of CNN for SAR Images Target Recognition.

Zhenpeng Feng, Hongbing Ji, Ljubisa Stankovic, Jingyuan Fan, Mingzhe Zhu

Remote. Sens., 2021