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Found 5 papers, 2 papers with code
Intrinsic Harmonization for Illumination-Aware Compositing
Despite significant advancements in network-based image harmonization techniques, there still exists a domain disparity between typical training pairs and real-world composites encountered during inference.
Intrinsic Image Decomposition via Ordinal Shading
We encourage the model to learn an accurate decomposition by computing losses on the estimated shading as well as the albedo implied by the intrinsic model.
Computational Flash Photography through Intrinsics
Flash is an essential tool as it often serves as the sole controllable light source in everyday photography.
A Study of Few-Shot Audio Classification
In this research, we address two audio classification tasks (speaker identification and activity classification) with the Prototypical Network few-shot learning algorithm, and assess performance of various encoder architectures.
Metric-Based Few-Shot Learning for Video Action Recognition
In this work, we address the task of few-shot video action recognition with a set of two-stream models.
