Instead of decoding free latent tokens or reconstructing fully explicit 3D primitives, IRIS represents the scene as a latent neural field and renders novel views by querying this field under self-predicted cameras, preserving the flexibility and optimization stability of implicit modeling, while introducing stronger ge...
Wen-Yu Li, Si-Dun Liu, P. Qiao et al.· 0 citations
LocusGS, which augments each Gaussian query with a 3D anchor state consisting of a center and a support radius, is introduced, which improves rendering quality over query-based Gaussian token baselines under the same Gaussian budget.
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
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
