69 citations · 268 across the 20 of their papers we have counts for
3 papers · 2 filters
A Practical Guide to CNNs and Fisher Vectors for Image Instance Retrieval
Vijay Chandrasekhar, Jie Lin, Olivier Morère +2
With deep learning becoming the dominant approach in computer vision, the use of representations extracted from Convolutional Neural Nets (CNNs) is quickly gaining ground on Fisher…
Co-Regularized Deep Representations for Video Summarization
Olivier Morère, Hanlin Goh, Antoine Veillard +2
Compact keyframe-based video summaries are a popular way of generating viewership on video sharing platforms. Yet, creating relevant and compelling summaries for arbitrarily long v…
DeepHash: Getting Regularization, Depth and Fine-Tuning Right
Jie Lin, Olivier Morere, Vijay Chandrasekhar +2
This work focuses on representing very high-dimensional global image descriptors using very compact 64-1024 bit binary hashes for instance retrieval. We propose DeepHash: a hashing…