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Attention-based Ensemble for Deep Metric Learning
Deep metric learning aims to learn an embedding function, modeled as deep neural network.
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Occlusion-Aware Video Deblurring with a New Layered Blur Model
We also provide a novel analysis on the blur kernel at object boundaries, which shows the distinctive characteristics of the blur kernel that cannot be captured by conventional blur models.
MRF Optimization by Graph Approximation
However, not much research efforts has been done on the generation of "good" proposals, especially for non-metric energy functions.
Scanline Sampler without Detailed Balance: An Efficient MCMC for MRF Optimization
To come up with faster sampling method, we investigate two ideas: breaking detailed balance and updating multiple nodes at a time.
