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 …

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 …

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 …

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 …

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

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

A resultant-based algorithm for transforming a system of polynomial equations to a polynomial eigenvalue problem (PEP) was proposed in [13] that enabled solving several minimal relative …

However these resultant images usually contain both real sources and artifacts due to signal sparsity and other factors. One way to obtain cleaner images is to reconstruct samples into …

The resultant action detector is termed TriDet. Extensive experiments demonstrate that TriDet surpasses all the pre-vious detectors and achieves state-of-the-art performance across three …

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.