Events

Upcoming events

The (In)Security of Modern Communication: From Guesses to Guarantees

Cas Cremers CISPA
03 Jun 2020, 12:15 pm - 1:15 pm
Saarbrücken building E1 5, room 002
Joint Lecture Series
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Internet Measurements: Evaluating Deployment and Security Practices

Oliver Gasser MPI-INF - D3
01 Jul 2020, 12:15 pm - 1:15 pm
Saarbrücken building E1 3, room HS 2
Joint Lecture Series
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Recent events

CANCELLED: Computer Science Competitions @ SIC

Julian Baldus, Marian Dietz, Simon Schwarz Fachrichtung Informatik - Saarbrücken
01 Apr 2020, 12:15 pm - 1:15 pm
Saarbrücken building E2 2, room Günther-Hotz-HS
Joint Lecture Series
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*Remote Talk* Improve Operations of Data Center Networks with Physical-Layer Programmability

Yiting Xia Facebook
26 Mar 2020, 10:00 am - 11:00 am
Saarbrücken building E1 5, room 029
simultaneous videocast to Kaiserslautern building G26, room 111 / Meeting ID: 6312
SWS Colloquium
Physical-layer programmability enables the network topology to be changed dynamically. In this talk, the speaker will make a case that cloud data center networks can be significantly easier to manage with physical-layer programmability. Three example network architectures will be shown as different use cases of this approach. ShareBackup enhances reliability through sharing backup switches efficiently network-wide, where a backup switch can be brought online instantaneously to recover from failures. Flat-tree solves the problem of choosing the right network topology for different cloud services by dynamically changing topological clustering characteristics of the network. …
Physical-layer programmability enables the network topology to be changed dynamically. In this talk, the speaker will make a case that cloud data center networks can be significantly easier to manage with physical-layer programmability. Three example network architectures will be shown as different use cases of this approach. ShareBackup enhances reliability through sharing backup switches efficiently network-wide, where a backup switch can be brought online instantaneously to recover from failures. Flat-tree solves the problem of choosing the right network topology for different cloud services by dynamically changing topological clustering characteristics of the network. OmniSwitch is a universal building block of data center networks that supports automatic device wiring and easy device maintenance. At the end of the talk, the speaker will briefly introduce an ongoing follow-up research that extends physical-layer programmability from data center networks to backbone networks.
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*Remote Talk* Learning efficient representations for image and video understanding

Yannis Kalantidis Facebook AI
18 Mar 2020, 10:00 am - 11:00 am
Saarbrücken building E1 5, room 029
simultaneous videocast to Kaiserslautern building G26, room 111 / Meeting ID: 6312
SWS Colloquium
Two important challenges in image and video understanding are designing more efficient deep Convolutional Neural Networks and learning models that are able to achieve higher-level understanding. In this talk, I will present some of my recent works towards tackling these challenges. Specifically, I will introduce the Octave Convolution [ICCV 2019], a plug-and-play replacement for the convolution operator that exploits the spatial redundancy of CNN activations and can be used without any adjustments to the network architecture. …
Two important challenges in image and video understanding are designing more efficient deep Convolutional Neural Networks and learning models that are able to achieve higher-level understanding. In this talk, I will present some of my recent works towards tackling these challenges. Specifically, I will introduce the Octave Convolution [ICCV 2019], a plug-and-play replacement for the convolution operator that exploits the spatial redundancy of CNN activations and can be used without any adjustments to the network architecture. I will also present the Global Reasoning Networks [CVPR 2019], a new approach for reasoning over arbitrary sets of features of the input, by projecting them from a coordinate space into an interaction space where relational reasoning can be efficiently computed.  The two methods presented are complementary and achieve state-of-the-art performance on both image and video tasks. Aiming for higher-level understanding, I will also present our recent works on vision and language modeling, specifically our work on learning state-of-the-art image and video captioning models that are also able to better visually ground the generated sentences with [CVPR 2019] or without [arXiv 2019] explicit localization supervision. The talk will conclude with current research and a brief vision for the future.
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