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  1. A novel sparse resultant-based approach to generating polynomial solvers based on adding an extra equation of a special form and transforming the resultant matrix constraint to a regular …

  2. CVPR 2020 Open Access Repository

    In this paper we study an alternative algebraic method for solving systems of polynomial equations, i.e., the sparse resultant-based method and propose a novel approach to convert …

  3. The resultant ensemble of randomly pruned SASD models can possess better generalization capability than the orig-inal SASD model. However, generating adversarial exam-ples with an …

  4. CVPR 2024 Open Access Repository

    The resultant dataset accumulates over 2000 hours of driving videos spanning areas all over the world with diverse weather conditions and traffic scenarios. Inheriting the merits from recent …

  5. CVPR 2025 Open Access Repository

    To solve the resultant optimization problem, we design an efficient algorithm of linear complexity.Moreover, extensive experiments are conducted and corresponding results well …

  6. cenes: Here we show results from the synthetic experiment presented in the main pa-per. We studied the numerical stability of the new resultant-based solver for the problem of estimating …

  7. We call the resultant K cluster centers local proto-types — represent local semantics like the “head”, “leg”, and “body” of “sheep”. Given a new image of the class, we compare its unpooled …

  8. CVPR 2022 Open Access Repository

    The resultant distribution can then be sampled to generate likely completions, each of which exhibits plausible shape details, while being faithful to the input.

  9. CVPR 2024 Open Access Repository

    However despite the benefits of the resultant adaptive network existing works rely on time-intensive quantization-aware training with full access to the original training pairs to learn the …

  10. CVPR 2025 Open Access Repository

    Subsequently, we pre-train a vision-side transformer by incorporating these newly extracted tokens and aligning the resultant embeddings with caption embeddings from a text-side encoder.