A Style-Based Generator Architecture for Generative Adversarial Networks (CVPR, 2019) |
Robust Motion In-betweening (SIGGRAPH, 2020) |
Computer Vision strives to develop algorithms for understanding, interpreting and reconstructing information about real-world scenes from image and video data.
Computer Graphics focuses on image synthesis – algorithms to build and edit static and dynamic virtual worlds and to display them in photorealistic or stylised ways.
In recent years, these fields have converged more and more since both disciplines create and exploit models describing the visual appearance of objects and scenes. In this seminar series, we will cover advanced research topics that cross the boundaries between the fields of computer vision and computer graphics. We will concentrate on recent research results that were published at top-tier conferences and journals. This seminar will cover research papers from the following topics:
The following table lists more topics than available weeks – this is to allow some flexibility for the interests of the group to change the course structure. Once every participant has submitted their choice of topics, this list will be updated to show the presenter of each topic.
Click on each topic to show the papers to be discussed or show all papers .
Topic and Papers | Presentation |
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SIGGRAPH 2020
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Presenter:
Shailesh Mishra
Supervisor:
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Presenter:
Kartik Teotia
Supervisor:
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ECCV 2020
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Presenter:
Joshgun Guliyev
Supervisor:
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ICCV 2019
CVPR 2020
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Presenter:
Nikhil Paliwal
Supervisor:
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SIGGRAPH, 2020
I3D, 2007
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Presenter:
Zhouyingcheng Liao
Supervisor:
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Presenter:
CVMLCG Team: Short Paper Presentations
Supervisor:
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Presenter:
Xianghui Xie
Supervisor:
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ICLR 2021
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Presenter:
Keyne Oei
Supervisor:
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arXiv 2021
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Presenter:
Christen Millerdurai
Supervisor:
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Presenter:
Arpit Jadon
Supervisor:
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Presenter:
Akshay Dodwadmath
Supervisor:
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arXiv 2021
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SIGGRAPH (Asia) 2020
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SIGGRAPH (Asia) 2018
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SIGGRAPH (Asia) 2019
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ECCV 2020
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CVPR 2020
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NeurIPS 2020
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NeurIPS 2019
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