3D occupancy prediction involves estimating the spatial structure and occupancy state of each voxel within a scene. Vision-centric approaches have attracted increasing attention for their cost-effectiveness and ease of deployment. However, a key challenge remains in accurately inferring the 3D scene structure from plan...
Ke-Qiu Wang, Tian-Yu Shen, Si-Han Chen et al.· IEEE Transactions on Automat...· 0 citations
RGLLA-PPIS, a novel multimodal prediction model that integrates retrieval-augmented learning and residual GNNs for PPIS identification, outperforms several state-of-the-art baselines in both accuracy and robustness and demonstrates its potential to guide real-world protein engineering tasks.
Jia Mi, Ya-Wen Liu, Chong Chu et al.· IEEE Transactions on Neural...· 0 citations
This work proposes Compact Autoregressive Latent Prior (CALP), which regularizes low-dimensional latent variables with a history-conditioned autoregressive prior, achieving compact, long-range temporally coherent, and spatially structured latent representations through a more reasonable latent capacity allocation and a...
Ruosen Hao, Tianyu Shen, Jing-Yuan Gao et al.· IEEE Transactions on Pattern...· 0 citations
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