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20242026
most citedMaskSAM: Towards Auto-prompt SAM with Mask Classification for Volumetric Medical Image Segmentation

4 citations · 4 across the 5 of their papers we have counts for

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cs.CV2026

Kepler4D: Controllable Future Video Generation via 4D Scene State Evolution

Feiran Wang, Bin Duan, Junyi Wu +2

Video world models aim to preserve scene structure and predict how dynamic objects evolve beyond visual observations. We present Kepler4D, a framework for future video generation t…

cs.CV2025

X-Field: A Physically Grounded Representation for 3D X-ray Reconstruction

Feiran Wang, Jiachen Tao, Junyi Wu +5

X-ray imaging is indispensable in medical diagnostics, yet its use is tightly regulated due to potential health risks. To mitigate radiation exposure, recent research focuses on ge…

cs.CV2024

MambaReg: Mamba-Based Disentangled Convolutional Sparse Coding for Unsupervised Deformable Multi-Modal Image Registration

Kaiang Wen, Bin Xie, Bin Duan +1

Precise alignment of multi-modal images with inherent feature discrepancies poses a pivotal challenge in deformable image registration. Traditional learning-based approaches often…

cs.CV2024

Token Transformation Matters: Towards Faithful Post-hoc Explanation for Vision Transformer

Junyi Wu, Bin Duan, Weitai Kang +2

While Transformers have rapidly gained popularity in various computer vision applications, post-hoc explanations of their internal mechanisms remain largely unexplored. Vision Tran…

cs.CV2024★ 4 cited

MaskSAM: Towards Auto-prompt SAM with Mask Classification for Volumetric Medical Image Segmentation

Bin Xie, Hao Tang, Bin Duan +3

Segment Anything Model (SAM), a prompt-driven foundation model for natural image segmentation, has demonstrated impressive zero-shot performance. However, SAM does not work when di…