Jinshuo Zhang — accepted AI-conference papers

2026

Uni-Encoder Meets Multi-Encoders: Representation Before Fusion for Brain Tumor Segmentation with Missing Modalities

Peibo Song, Xiaotian Xue, Jinshuo Zhang, Zihao Wang, Jinhua Liu, Shujun Fu +2

CVPR 2026

Multimodal MRI offers complementary information for brain tumor segmentation, but clinical scans often lack one or more modalities, which degrades segmentation performance. In this paper, we propose UniME (Uni-Encoder Meets Multi-Encoders), a two-stage heterogeneous method for brain tumor segmentati

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2021

EDNet: Efficient Disparity Estimation With Cost Volume Combination and Attention-Based Spatial Residual

Songyan Zhang, Zhicheng Wang, Qiang Wang, Jinshuo Zhang, Gang Wei, Xiaowen Chu

CVPR 2021poster

Existing state-of-the-art disparity estimation works mostly leverage the 4D concatenation volume and construct a very deep 3D convolution neural network (CNN) for disparity regression, which is inefficient due to the high memory consumption and slow inference speed. In this paper, we propose a netwo…

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