Deep Learning Meetup #17 at Samsung Paris

Dear Deeplearners,

The Deep Learning meetup is coming back on 18/07, again at Samsung Paris office.

You must be registered on the EventBrite event to be accepted for security reason (https://www.eventbrite.co.uk/e/deep-learning-meetup-17-at-samsung-paris-tickets-64993557480). Bring your ID as it will be checked beforehand.

We'll have 3 great speakers:

Damien MENIGAUX (Veesion):

Veesion is relies on video deep learning to detect theft related gestures in real time in retail stores. Since its inception in 2014, video deep learning has made some important strives. The appearance of large scale video datasets was accompanied by important architectural findings. If traditionnal image deep learning is considered by some as a "solved problem", the temporal dimension in videos still isn't well understood. Let's take a look back at the most ingenious and successful innovations in video deep learning networks.

Eloi Zablocki (LIP6 Sorbonne Université):

As textual resources are abundant and contain high-level knowledge, linguistic representations can be used to augment capacities of computer vision recognition systems, typically when visual supervision is scarce. We thus focus on the zero-shot learning recognition task which consists in recognizing objects that have never been seen, thanks to linguistic knowledge acquired about the objects beforehand. We present a model for zero-shot recognition that leverages (1) the region of interest, (2) the semantic representations of object labels, and (3) the visual context of an object

Thibaut Barroyer (Cardiologs):

Cardiologs is a medical technology company committed to transforming cardiac diagnostics by utilising medical-grade deep learning techniques. Developing deep learning models to solve medical problems is challenging: FDA clearance, data annotation, clinical expertise in the team… We will give an overview of the two main algorithms that our solution is built upon: networks for classification (diagnosis) and segmentation (waves identification) of electrocardiograms (ECG). We will then present an application to the detection of the Wolff-Parkinson-White syndrome, responsible of sudden cardiac arrest, and present results of a comparative study we ran with physicians.

You can check out previous meetup slides there: https://drive.google.com/open?id=1nvXwUbbhDZQf3LYifZQiGW3eFePxgJb_

Or watch them there: https://www.youtube.com/channel/UCF65w-sGTJfDI3WarFwTpwg