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Computer Vision: What Happens Next?

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Detailed ICVSS 2016 Programme
LECTURES
Speakers
Syllabus
Titles & Abstracts

Michael Black
Max Planck Institute for Intelligent Systems, Germany

Generative Models, 3d Shape, 3D human pose and shape estimation from images, video, and RGB-D

Dhruv Batra
Virginia Tech, USA

Transparency, Interpretability, Deep Learning, VQA

William T. Freeman
MIT, USA

Tiny motions

Andrej Karpathy
Stanford University, USA

Images and Natural Language

Koray Kavukcuoglu
Google DeepMind, UK

Deep Learning, Agents

Yann LeCun
Facebook AI Research & NYU, USA
Deep Learing, Artificial Intelligence

Sergey Levine
UC Berkeley, University of Washington, Google, USA

Robotics, deep learning, reinforcement learning

Devi Parikh
Virginia Tech, USA

Vision and language, deep learning, common sense reasoning, semantic scene understanding

Pietro Perona
Caltech, USA

Visipedia, Organizing Visual Knowledge

Ashutosh Saxena
Stanford University and Cornell University, USA

Artificial Intelligence

Shahram Izadi
Microsoft, USA
Sensors, Understanding, Real-time 3D Reconstruction, Tracking of hands, faces and bodies, Augmented and Virtual Reality, Immersive Computing

Bernt Schiele
Max Planck Institute Informatics, Germany

Object Recognition, People Detection and Human Pose Estimation

Jamie Shotton
Microsoft Research, Cambridge, UK

Tracking, 3D human hand modeling, pose and shape estimation, generative model fitting, discriminative learning, VR, user interface design

Antonio Torralba
MIT, USA

Vision and Language

READING GROUP (WITH PRIZE!)
Speakers
Syllabus
Rules of Engagement

Stefano Soatto
University of California, Los Angeles, USA


ESSAY (WITH PRIZE!)
Speakers
Syllabus
Rules of Engagement

Fabio Galasso
OSRAM Corporate Technology, Germany


INDUSTRY MEETS STUDENTS
Industrial Panel


POSTER SESSION (WITH PRIZE!)

 
For more information, send an email to: icvss@dmi.unict.it