Novel view synthesis from unposed multi-view images remains challenging, as the model must jointly learn scene representations and camera parameters without pose supervision. Existing approaches largely fall into two extremes: implicit latent-space rendering is flexible and easy to optimize, but often yields weakly gro...
Wen-Yu Li, Si-Dun Liu, P. Qiao et al.· 0 citations
Recent query-based feed-forward 3DGS methods represent a scene using learnable queries, each aggregating multi-view evidence and decoding a group of Gaussians. Ideally, different queries should specialize in coherent local regions of the scene. However, we observe that Gaussians decoded from the same query often scatte...
Wen-Yu Li, Si-Dun Liu, Tong-Rui Hu et al.· 0 citations
TileGEMM is proposed, a high-performance GEMM implementation on AMX that systematically enhances data reuse across the memory hierarchy, and achieves average speedups of 3.27 × and 1.96 × over AVX-512-based implementations TVM and MKL, respectively.
Kang-Kang Chen, Hua-You Su, Meng-Han Jia et al.· Proceedings of the Internati...· 0 citations
General Matrix Multiplication (GEMM) is the cornerstone of high-performance computing and deep learning. Its efficiency significantly influences the performance of applications ranging from large language models to scientific simulations. Intel Advanced Matrix Extensions (AMX) significantly boost matrix operations thro...
Kang-Kang Chen, Hua-You Su, Menghan Jia et al.· Proceedings of the Internati...· 0 citations
Audio annotation is particularly costly and prone to errors due to the temporal nature and semantic ambiguity in audio perception. Active learning (AL) addresses this by iteratively selecting the most informative samples from an unlabeled pool for expert labeling, thereby maximizing model performance with minimal annot...
Yi Su, Hui Geng, Qi-Sheng Xu et al.· IEEE Transactions on Audio,...· 0 citations
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