Author

He-Qi Xiang

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Preprint Sep 2026

CMAMBADEPTH: Self-supervised Monocular Depth Estimation with Channel Mamba and Hybrid Attention

CMambaDepth is proposed, a self-supervised framework that achieves efficient multi-scale feature fusion and fine-grained contextual modeling via channel-wise selective state propagation and a Hybrid Attention Module is introduced to combine large-kernel local context and Manhattan self-attention for complementary spati...

Xue-Lian Xiang, Jia-Yao Liu, He-Qi Xiang et al. · 0 citations

Preprint Sep 2026

tcnerv:dual-domain temporal context modeling for implicit neural video compression

TCNeRV is proposed, which exploits reconstructed context in both feature and embedding domains and reduces BD-rate by 22.06%, 66.73%, and 29.85% relative to HM, DCVC, and HiNeRV, respectively, demonstrating competitive rate-distortion performance with limited model capacity.

Xue-Lian Xiang, Yi-Xin Zhao, He-Qi Xiang et al. · 0 citations