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 eigenvalue …

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 latent diffusion …

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 ensemble model …

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 the resultant constraint …

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 relative …

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

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

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.

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 …

The resultant features and their orientations are further processed by group aligning, a novel invariant mapping technique that shifts the group-equivariant features by their orientations along the group …