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20212025
most citedSelf-adaptive loss balanced Physics-informed neural networks for the incompressible Navier-Stokes equations

501 citations · 530 across the 14 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025

CDUPatch: Color-Driven Universal Adversarial Patch Attack for Dual-Modal Visible-Infrared Detectors

Jiahuan Long, Wen Yao, Tingsong Jiang +1

Adversarial patches are widely used to evaluate the robustness of object detection systems in real-world scenarios. These patches were initially designed to deceive single-modal de…

cs.CV2024★ 1 cited

Improving the Transferability of Adversarial Examples by Feature Augmentation

Donghua Wang, Wen Yao, Tingsong Jiang +3

Despite the success of input transformation-based attacks on boosting adversarial transferability, the performance is unsatisfying due to the ignorance of the discrepancy across mo…

cs.CV2023★ 1 cited

HyperDID: Hyperspectral Intrinsic Image Decomposition with Deep Feature Embedding

Zhiqiang Gong, Xian Zhou, Wen Yao +2

The dissection of hyperspectral images into intrinsic components through hyperspectral intrinsic image decomposition (HIID) enhances the interpretability of hyperspectral data, pro…

cs.CV2022★ 4 cited

Semi-supervision semantic segmentation with uncertainty-guided self cross supervision

Yunyang Zhang, Zhiqiang Gong, Xiaohu Zheng +2

As a powerful way of realizing semi-supervised segmentation, the cross supervision method learns cross consistency based on independent ensemble models using abundant unlabeled ima…

cs.CV2022

Contrastive Enhancement Using Latent Prototype for Few-Shot Segmentation

Xiaoyu Zhao, Xiaoqian Chen, Zhiqiang Gong +3

Few-shot segmentation enables the model to recognize unseen classes with few annotated examples. Most existing methods adopt prototype learning architecture, where support prototyp…