Program

Conference Program (download pdf)

Keynote Speaker I:

Prof. Leif Kobbelt  

Talk Title: From Quad Meshes to Quad Layouts

Talk Abstract:

The conversion of raw geometric data (that typically comes in the form of unstructured triangle meshes) to high quality quad meshes is an important and challenging task. The complexity of the task results from the fact that quad mesh topologies are subject to global consistency requirements which cannot be dealt with by local constructions. This is why recent quad meshing techniques formulate the mesh generation process as a global optimization problem. By adding hard and soft constraints to this optimization, many desired properties such as structural simplicity, principal direction alignment, as well as injectivity can be guaranteed by construction. An even more challenging problem is the computation of quad layouts, where a coarse segmentation of the input surface into essentially rectangular patches is sought which also satisfies global consistency and shape quality requirements. While being structurally related, both problems need to be addressed by fundamentally different approaches. In my talk I will present some of these approaches and demonstrate that they can generate high quality quad meshes and quad layouts with a high degree of automation but that they also allow the user to interactively control the results by setting boundary conditions accordingly.

Short Bio:

Leif Kobbelt is a full professor of Computer Science with a specialization in Computer Graphics and Geometry Processing. Since 2001 he is the head of the Institute for Computer Graphics and Multimedia at RWTH Aachen University which in 2015 has been extended into the Visual Computing Institute.

After having received his diploma in 1992 and his PhD in 1994 in Computer Science from the Karlsruhe Institute of Technology he worked at the University of Wisconsin in Madison, the University of Erlangen-Nuremberg and the Max Planck Institute of Computer Science before he moved to RWTH Aachen University in 2001. His major research interests include 3D reconstruction, efficient geometry processing, realistic real-time rendering and (mobile) multimedia applications. Kobbelt published a substantial number of influential papers in international top-conferences and journals. In addition, he acts as a consultant, reviewer, and editor for international companies, research organizations and journals respectively. For his research he was awarded with a number of renowned academic prices including the Heinz-Maier-Leibnitz price in 2000, the Eurographics Outstanding Technical Contribution Award 2004, the Günther Enderle Award (in 1999 and 2012), an ERC Advanced Grant 2013 and the Gottfried Wilhelm Leibniz Prize in 2014. He has been named a Fellow of the Eurographics Association (2008) and a Distinguished Professor of RWTH Aachen University (2013). In 2015 he became a member of the Academia Europaea and in 2016 a member of the North Rhine Westphalian Academy of Sciences, Humanities and the Arts.

Keynote Speaker II:

Prof. Jia Deng

Talk Title:Toward Deep Geometric Image Understanding

Talk Abstract:

Achieving human-level visual understanding requires extracting richer geometric information from images. In particular, it entails moving beyond 2D bounding boxes of objects to more detailed geometric representations. In this talk I will present recent work in this direction. In particular, I will discuss human pose estimation (keypoint localization) and single-image depth estimation. For human pose estimation, I will present a new type of convolutional network architecture called the stacked hourglass network. For single-image depth estimation, I will show how to use crowdsourcing to improve depth estimation for images in the wild.

Short Bio:

Jia Deng is an Assistant Professor of Computer Science and Engineering at the University of Michigan. His research focus is on computer vision and machine learning, in particular, achieving human-level visual understanding by integrating perception, cognition, and learning. He received his Ph.D. from Princeton University and his B.Eng. from Tsinghua University, both in computer science. He is a recipient of the PAMI Everingham Prize, the Yahoo ACE Award, a Google Faculty Research Award, the ICCV Marr Prize, and the ECCV Best Paper Award.