Multimodality and Deep Learning when predicting Media

Quicker ADC : Unlocking the hidden potential of Product Quantization with SIMD

RESEARCH PAPER / Nov 2019 / Network & Communications, Machine/Deep Learning/AI

Efficient Nearest Neighbor (NN) search in high-dimensional spaces is a foundation of many multimedia retrieval systems. A common approach is to rely on Product Quantization, which allows the storage of large vector databases in memory and efficient distance computations. Yet, implementations of nearest neighbor search with Product Quantization have their...

Gossiping GANs

RESEARCH PAPER / Oct 2018 / Machine/Deep Learning/AI, Network & Communications

"A recently celebrated kind of deep neural networks is Generative Adversarial Networks. GANs are generators of samples from a distribution that has been learned; they are up to now centrally trained from local data on a single location. We question the performance of training GANs using a spread dataset over...

Deep Learning for Image Memorability Prediction

RESEARCH PAPER / Apr 2018 / Computer Vision, Machine/Deep learning/AI

Memorability of media content such as images and videos has recently become an important research subject in computer vision. This paper presents our computation model for predicting image memorability, which is based on a deep learning architecture designed for a classification task. We exploit the use of both convolutional neural...

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