Yifan Ren — accepted AI-conference papers

2026

FreqSIC: Frequency-aware Stereo Image Compression with Bi-directional Checkerboard Context Model

Shiyu Qin, Yongkang Lu, Yimin Zhou, Jiawei Li, Yifan Ren, Yuerong Xue +2

CVPR 2026

Stereo image compression is essential for a wide range of 3D vision. Recent methods have demonstrated strong capabilities in eliminating inter-view redundancy and enabling compact entropy coding via spatial-domain stereo transformation and advanced autoregressive entropy models. However, these appro

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2026

MambaSIC: Mamba-based Stereo Image Compression with Bi-directional Multi-reference Entropy Model

Shiyu Qin, Xinjie Zhang, Zhening Liu, Jinpeng Wang, Bin Chen, Jiawei Li +3

CVPR 2026

Stereo image compression (SIC) has become increasingly vital with its applications surging in fields such as 3D reconstruction and autonomous navigation. Previous methods leverage cross-attention to model inter-view redundancy and employ autoregressive entropy models to predict probability distribut

Cited by 0 Source ↗Scholar ↗