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20222025
most citedShap-CAM: Visual Explanations for Convolutional Neural Networks based on Shapley Value

3 citations · 6 across the 9 of their papers we have counts for

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cs.CV2025

EfficientLLaVA:Generalizable Auto-Pruning for Large Vision-language Models

Yinan Liang, Ziwei Wang, Xiuwei Xu +2

While multimodal large language models demonstrate strong performance in complex reasoning tasks, they pose significant challenges related to model complexity during deployment, es…

cs.CV2024

Memory-based Adapters for Online 3D Scene Perception

Xiuwei Xu, Chong Xia, Ziwei Wang +4

In this paper, we propose a new framework for online 3D scene perception. Conventional 3D scene perception methods are offline, i.e., take an already reconstructed 3D scene geometr…

cs.CV2023

Robust Adversarial Attacks Detection for Deep Learning based Relative Pose Estimation for Space Rendezvous

Ziwei Wang, Nabil Aouf, Jose Pizarro +1

Research on developing deep learning techniques for autonomous spacecraft relative navigation challenges is continuously growing in recent years. Adopting those techniques offers e…

cs.CV2023

Learning Accurate Performance Predictors for Ultrafast Automated Model Compression

Ziwei Wang, Jiwen Lu, Han Xiao +2

In this paper, we propose an ultrafast automated model compression framework called SeerNet for flexible network deployment. Conventional non-differen-tiable methods discretely sea…

cs.CV20223 cited

Shap-CAM: Visual Explanations for Convolutional Neural Networks based on Shapley Value

Quan Zheng, Ziwei Wang, Jie Zhou +1

Explaining deep convolutional neural networks has been recently drawing increasing attention since it helps to understand the networks' internal operations and why they make certai…