
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 …
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 latent diffusion …
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 …
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 the resultant constraint …
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 support …
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.
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 …
ICCV 2025 Open Access Repository
The resultant gaze embeddings are aligned with language embeddings of large language model-generated search descriptions for associated target categories using a novel contrastive learning …
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.
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 appropriate bit …