Search Results for author: Shanshan Zhao

Found 12 papers, 5 papers with code

FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis

no code implementations2 Dec 2021 Yu Feng, Benteng Ma, Jing Zhang, Shanshan Zhao, Yong Xia, DaCheng Tao

However, designing a unified BA method that can be applied to various MIA systems is challenging due to the diversity of imaging modalities (e. g., X-Ray, CT, and MRI) and analysis tasks (e. g., classification, detection, and segmentation).

Image Classification Lesion Classification +2

Domain Generalization via Entropy Regularization

1 code implementation NeurIPS 2020 Shanshan Zhao, Mingming Gong, Tongliang Liu, Huan Fu, DaCheng Tao

To arrive at this, some methods introduce a domain discriminator through adversarial learning to match the feature distributions in multiple source domains.

Domain Generalization

Adaptive Context-Aware Multi-Modal Network for Depth Completion

1 code implementation25 Aug 2020 Shanshan Zhao, Mingming Gong, Huan Fu, DaCheng Tao

Furthermore, considering the mutli-modality of input data, we exploit the graph propagation on the two modalities respectively to extract multi-modal representations.

Depth Completion

Group-wise Deep Co-saliency Detection

no code implementations24 Jul 2017 Lina Wei, Shanshan Zhao, Omar El Farouk Bourahla, Xi Li, Fei Wu

In this paper, we propose an end-to-end group-wise deep co-saliency detection approach to address the co-salient object discovery problem based on the fully convolutional network (FCN) with group input and group output.

Co-Salient Object Detection Object Discovery +1

Deep Optical Flow Estimation Via Multi-Scale Correspondence Structure Learning

no code implementations23 Jul 2017 Shanshan Zhao, Xi Li, Omar El Farouk Bourahla

Therefore, a key issue to solve in this area is how to effectively model the multi-scale correspondence structure properties in an adaptive end-to-end learning fashion.

Optical Flow Estimation

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