QInF 2017 Europe

2017 Europe Program Details

In 2012, Qualcomm Research established a fellowship program in Europe following the successful model in the U.S. For 2017 the program in Europe will be run as a single competition where students from all invited universities in Europe compete. Each winning student receives a fellowship in the amount of $40,000 for the upcoming academic year and is assigned a Qualcomm researcher as a mentor to facilitate close collaboration and interaction with Qualcomm’s corporate research center. The European winners are also invited to join the U.S. winners day at the Qualcomm headquarter in San Diego, CA.

 

We believe that research and development is the key to harnessing the power of imagination and to discovering new possibilities. We are excited to announce a new kind of Fellowship that promotes Qualcomm’s core values of innovation, execution and partnership. Our goal is to enable students to pursue their futuristic innovative ideas.

Winners
Finalists
Application Process
Participating Universities
Areas of Interest
Timeline

2017 Europe Winners

Location

School

Students

Recommender(s)

Title

Lausanne/Switzerland

EPFL

Bugra Tekin

Pascal Fua

Real-time 3D Human Pose Estimation in the Wild

Cambridge/UK

Cambridge

Alessandro Davide Ialongo

Carl Rasmussen

Learning and Decision-making for Autonomous Behaviour

Leuven/Belgium

KUL

Bert De Brabandere

Luc Van Gool

Learning to learn visual representations without supervision

2017 Finalists

School Student(s) Recommender(s) Innovation Title
Cambridge Alessandro Davide Ialongo Zoubin Ghahramani Learning and Decision-making for Autonomous Behaviour
KUL Bert De Brabandere Luc Van Gool Learing to learn visual representations without supervision
EPFL Bugra Tekin Pascal Fua Real-time 3D Human Pose Estimateion in the Wild
Imperial Lin Yiming Abhijeet Ghosh Image Based Material Modeling for Virtual Reality Content Creation
KUL Maxim Berman Matthew B. Blaschko Efficient image segmentation: richer models at lower cost
TU Delft Thomas Moerland Catholijm M. Jonker Probabilistic Inference for Model-Based Deep Reinforcement Learning
EPFL Yu Kaicheng Pascal Fua Second-Order Image Statistics: Covariance Descriptors in CNNs
EPFL Zhou Ruofan Sabine Süsstrunk Automatic Video Enhancement Through Deep Learning

We will be awarding Fellowships to three winning students for the 2017-18 academic year.

Each of the three winning students will be awarded a $40,000 fellowship for submitting the most innovative proposals. The respective academic departments at each university will administer funds to the winning students for their fellowship work and research expenses for the academic year of 2017–18.

 

The main judging criterion is an innovation proposal that must include:

  • Introduction and problem definition
  • Innovation proposal and relation to the state of the art
  • The one year horizon of the project (even if the proposal is a multi-year project)
  • The strength of the student for achieving the proposal milestones

See FAQ for more details.

 

Winners will be selected through a two-phase process:

  1. Finalists selection: Applications must be submitted online by the deadline noted in the Timeline tab. Each application must include (in PDF or Word format):
  2. Winners selection: Finalists must prepare a 15-minute presentation for the judges. Presentation must be in PowerPoint or PDF format. The presentation generally includes:
    • The idea
    • The differentiating factors from state of the art
    • The execution plan / strength of the student

Please check back to this page regularly for application and program updates.

 

Faculty & Mentor

In addition to the faculty advisor(s) to guide the fellowship research, Qualcomm will also provide industry experts to mentor the students, as well as regular collaboration opportunities with Qualcomm Research & Development to further assist with projects. Successful projects will be reevaluated after one year for further research funding from Qualcomm.

 

More Info?

Do you need further Information? Please direct your questions to: innovation.fellowship.europe@qti.qualcomm.com.

Qualcomm Research is a division of Qualcomm Technologies, Inc.

Qualcomm is inviting applications for the Qualcomm Innovation Fellowship 2017 from outstanding PhD students in the following Universities:

The following shows a set of focus areas for this year, but outstanding proposals in other areas will be considered as well:

  • Machine Learning and Deep Learning for Vision
  • Action and Event Recognition
  • Vision and Language Embedding
  • Fine-grained Image Recognition
  • Autonomous Navigation of Robots and Drones
  • Object Recognition and Scene Understanding
  • Event-based sensing for Vision
  • Use of Sensors and Hybrid Approaches
  • Person/Face Detection and Tracking
  • 3D Model Acquisition
  • Optimization Techniques for Mobile Devices

Note: We also welcome proposals in other areas since we are very keen to learn about things we do not know!

Program launch: Launch with email and posters in January 2017 (details to be announced)

Proposal submissions: February 28, 2017

Finalist announcement: April 3, 2017

Deadline for presentation slide submission: May 2, 2017

Finalist presentation: May 10, 2017 (date to be confirmed)

Winner announcement: May 2017

Fellowship Winners and Finalists

The Qualcomm Innovation Fellowship began in 2009, and has continued to grow with the addition of more universities, more candidates, and expansion to our research centers internationally. Take a look at a list of all our fellowship winners and finalists from years past: